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This book presents a panoramic look at the transformation of the transmission network in the context of the energy transition. It provides readers with basic definitions as well as details on current challenges and emerging technologies. In-depth chapters cover the integration of renewables, the particularities of planning large-scale systems, efficient reduction and solution methods, the possibilities of HVDC and super grids, distributed generation, smart grids, demand response, and new regulatory schemes. The content is complemented with case studies that highlight the importance of the power transmission network as the backbone of modern energy systems. This book will be a comprehensive reference that will be useful to both academics and practitioners.
Book Synopsis Transmission Expansion Planning: The Network Challenges of the Energy Transition by : Sara Lumbreras
Download or read book Transmission Expansion Planning: The Network Challenges of the Energy Transition written by Sara Lumbreras and published by Springer Nature. This book was released on 2020-11-19 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a panoramic look at the transformation of the transmission network in the context of the energy transition. It provides readers with basic definitions as well as details on current challenges and emerging technologies. In-depth chapters cover the integration of renewables, the particularities of planning large-scale systems, efficient reduction and solution methods, the possibilities of HVDC and super grids, distributed generation, smart grids, demand response, and new regulatory schemes. The content is complemented with case studies that highlight the importance of the power transmission network as the backbone of modern energy systems. This book will be a comprehensive reference that will be useful to both academics and practitioners.
Energy transition is a complex global problem, with governance and policies cutting across multiple legal silos including human rights, environment, international economics, finance, energy, law of the sea, and transnational commerce. As of yet, there is no comprehensive treatment of the legal principles governing energy transition as a whole. Furthermore, energy transition must solve a trilemma that pits energy equity (the need to provide access to energy needed to fuel human development) and energy security (the need to provide resilient and reliable energy systems) against environmental sustainability. Without a comprehensive understanding of these issues, law and policy-makers risk exacerbating rather than resolving the underlying problems. Principles of International Energy Transition Law introduces the energy transition problem by situating the climate emergency in its broader energy and development context, showing how global energy value chains are deeply enmeshed in and drive global economic and human development. It combines the different legal perspectives in one consistent analysis by outlining their interactions and showing how they can be reconciled. The book discusses thirty-two international legal principles governing different aspects of the energy transition trilemma's three parts. It then uses a commons governance perspective to propose a holistic approach to applying and balancing these different parts and their different legal principles. Highlighted sections summarise the most important concepts and ideas for easy reference, making the title particularly accessible for students and policy-makers as well as law practitioners.
Book Synopsis Principles of International Energy Transition Law by : Frédéric G. Sourgens
Download or read book Principles of International Energy Transition Law written by Frédéric G. Sourgens and published by Oxford University Press. This book was released on 2023-10-19 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy transition is a complex global problem, with governance and policies cutting across multiple legal silos including human rights, environment, international economics, finance, energy, law of the sea, and transnational commerce. As of yet, there is no comprehensive treatment of the legal principles governing energy transition as a whole. Furthermore, energy transition must solve a trilemma that pits energy equity (the need to provide access to energy needed to fuel human development) and energy security (the need to provide resilient and reliable energy systems) against environmental sustainability. Without a comprehensive understanding of these issues, law and policy-makers risk exacerbating rather than resolving the underlying problems. Principles of International Energy Transition Law introduces the energy transition problem by situating the climate emergency in its broader energy and development context, showing how global energy value chains are deeply enmeshed in and drive global economic and human development. It combines the different legal perspectives in one consistent analysis by outlining their interactions and showing how they can be reconciled. The book discusses thirty-two international legal principles governing different aspects of the energy transition trilemma's three parts. It then uses a commons governance perspective to propose a holistic approach to applying and balancing these different parts and their different legal principles. Highlighted sections summarise the most important concepts and ideas for easy reference, making the title particularly accessible for students and policy-makers as well as law practitioners.
The importance of the transmission network for supplying electricity demand is undeniable, and Transmission Expansion Planning (TEP) studies is key for a reliable power system. Due to increasing sources of uncertainty such as more intermittent energy resources, mobile and controllable demands, and fast technology improvements for PVs and energy storage devices, the need for using systematic ways for solving this complex problem is increased. One of the main barriers for deploying optimization-based TEP studies is computationally intractability, which is the main motivation for this research. The aim of this work is to investigate the computational challenges associated with systematic TEP studies for large-scale problems, and develop algorithms to improve computational performance. In the first step, we investigate the impact of adding security constraints (as NERC standard requirement) into TEP optimization problem, and develop the Variable Contingency List (VCL) algorithm to pre-screen security constraints to only add those that may affect the feasible region. It significantly decreases the size of the problem compared to considering all security constraints. Then, we evaluate the impact of the size of candidate lines list (number of binary variables) on TEP, and developed a heuristic algorithm to decrease the size of this list. In the next step, we integrate uncertainties into the TEP optimization problem and formulate the problem as a two-stage stochastic program. Adding uncertainties increases the size of the problem significantly. It leads us to develop a three-level filter that introduces important scenario identification index (ISII) and similar scenario elimination (SSE) technique to decrease the number of security constraints in stochastic TEP in a systematic and tractable way. We then investigate the scalability of the stochastic TEP formulation. We develop a configurable decomposition framework that allows us to decompose the original problem into subproblems that can be solved independently and in parallel. This framework can benefit from using both progressive hedging (PH) and Benders decomposition (BD) algorithms to decompose and parallelize a large-scale problem both vertically and horizontally. We have also developed a bundling algorithm that improves the performance of PH algorithm and the overall performance of the framework. We have implemented our work on a reduced ERCOT network with more than 3000 buses to demonstrate the practicality of the proposed method in this work for large-scale problems.
Book Synopsis Transmission Expansion Planning by : Mohammad Majidi-Qadikolai
Download or read book Transmission Expansion Planning written by Mohammad Majidi-Qadikolai and published by . This book was released on 2017 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: The importance of the transmission network for supplying electricity demand is undeniable, and Transmission Expansion Planning (TEP) studies is key for a reliable power system. Due to increasing sources of uncertainty such as more intermittent energy resources, mobile and controllable demands, and fast technology improvements for PVs and energy storage devices, the need for using systematic ways for solving this complex problem is increased. One of the main barriers for deploying optimization-based TEP studies is computationally intractability, which is the main motivation for this research. The aim of this work is to investigate the computational challenges associated with systematic TEP studies for large-scale problems, and develop algorithms to improve computational performance. In the first step, we investigate the impact of adding security constraints (as NERC standard requirement) into TEP optimization problem, and develop the Variable Contingency List (VCL) algorithm to pre-screen security constraints to only add those that may affect the feasible region. It significantly decreases the size of the problem compared to considering all security constraints. Then, we evaluate the impact of the size of candidate lines list (number of binary variables) on TEP, and developed a heuristic algorithm to decrease the size of this list. In the next step, we integrate uncertainties into the TEP optimization problem and formulate the problem as a two-stage stochastic program. Adding uncertainties increases the size of the problem significantly. It leads us to develop a three-level filter that introduces important scenario identification index (ISII) and similar scenario elimination (SSE) technique to decrease the number of security constraints in stochastic TEP in a systematic and tractable way. We then investigate the scalability of the stochastic TEP formulation. We develop a configurable decomposition framework that allows us to decompose the original problem into subproblems that can be solved independently and in parallel. This framework can benefit from using both progressive hedging (PH) and Benders decomposition (BD) algorithms to decompose and parallelize a large-scale problem both vertically and horizontally. We have also developed a bundling algorithm that improves the performance of PH algorithm and the overall performance of the framework. We have implemented our work on a reduced ERCOT network with more than 3000 buses to demonstrate the practicality of the proposed method in this work for large-scale problems.
This book provides an in-depth analysis of investment problems pertaining to electric energy infrastructure, including both generation and transmission facilities. The analysis encompasses decision-making tools for expansion planning, reinforcement, and the selection and timing of investment options. In this regard, the book provides an up-to-date description of analytical tools to address challenging investment questions such as: How can we expand and/or reinforce our aging electricity transmission infrastructure? How can we expand the transmission network of a given region to integrate significant amounts of renewable generation? How can we expand generation facilities to achieve a low-carbon electricity production system? How can we expand the generation system while ensuring appropriate levels of flexibility to accommodate both demand-related and production-related uncertainties? How can we choose among alternative production facilities? What is the right time to invest in a given production or transmission facility? Written in a tutorial style and modular format, the book includes a wealth of illustrative examples to facilitate comprehension. It is intended for advanced undergraduate and graduate students in the fields of electric energy systems, operations research, management science, and economics. Practitioners in the electric energy sector will also benefit from the concepts and techniques presented here.
Book Synopsis Investment in Electricity Generation and Transmission by : Antonio J. Conejo
Download or read book Investment in Electricity Generation and Transmission written by Antonio J. Conejo and published by Springer. This book was released on 2016-06-10 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an in-depth analysis of investment problems pertaining to electric energy infrastructure, including both generation and transmission facilities. The analysis encompasses decision-making tools for expansion planning, reinforcement, and the selection and timing of investment options. In this regard, the book provides an up-to-date description of analytical tools to address challenging investment questions such as: How can we expand and/or reinforce our aging electricity transmission infrastructure? How can we expand the transmission network of a given region to integrate significant amounts of renewable generation? How can we expand generation facilities to achieve a low-carbon electricity production system? How can we expand the generation system while ensuring appropriate levels of flexibility to accommodate both demand-related and production-related uncertainties? How can we choose among alternative production facilities? What is the right time to invest in a given production or transmission facility? Written in a tutorial style and modular format, the book includes a wealth of illustrative examples to facilitate comprehension. It is intended for advanced undergraduate and graduate students in the fields of electric energy systems, operations research, management science, and economics. Practitioners in the electric energy sector will also benefit from the concepts and techniques presented here.
This book provides a systematic overview of transmission network investment in liberalized power markets. Recent government policies to increase the share of intermittent renewable power generation and other technological innovations present new theoretical as well as practical challenges for transmission investments. Written by experts with a background in both economics and engineering, the book examines the economic and technical fundamentals of regulated and merchant transmission investment, and includes case studies of transmission investment in a number of countries. The book is divided into four parts: Part 1 introduces the basic economics and engineering of transmission network investment, while Part 2 discusses merchant investment in the transmission network. Part 3 then examines transmission investment coordination and smart grids, and lastly, Part 4 describes practical experiences of transmission network investment in power market in various countries.
Book Synopsis Transmission Network Investment in Liberalized Power Markets by : Mohammad Reza Hesamzadeh
Download or read book Transmission Network Investment in Liberalized Power Markets written by Mohammad Reza Hesamzadeh and published by Springer Nature. This book was released on 2020-09-10 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a systematic overview of transmission network investment in liberalized power markets. Recent government policies to increase the share of intermittent renewable power generation and other technological innovations present new theoretical as well as practical challenges for transmission investments. Written by experts with a background in both economics and engineering, the book examines the economic and technical fundamentals of regulated and merchant transmission investment, and includes case studies of transmission investment in a number of countries. The book is divided into four parts: Part 1 introduces the basic economics and engineering of transmission network investment, while Part 2 discusses merchant investment in the transmission network. Part 3 then examines transmission investment coordination and smart grids, and lastly, Part 4 describes practical experiences of transmission network investment in power market in various countries.
Due to the accelerated growth of electricity demand, the scarcity of primary resources to produce electricity, and technological advances in recent years, electricity companies must face and solve these challenges in the best possible way, and for that, the Transmission Network Expansion Planning (TNEP) plays a crucial role, since the decisions taken in long term planning determine the optimal form of expansion of the networks, to respond to these needs of electricity demands. On the other hand, there is also the tendency to leave the TNEP problem more efficient, robust, and closer to to what happens in real electrical networks. For these reasons, this article proposes a methodology to solve the TNEP problem considering active power losses. On the other hand, is developed a modeling and solution approach to the static and multistage transmission network expansion planning problem considering series capacitive compensation and active power losses. The transmission network expansion planning is formulated as a mixed integer nonlinear programming problem and solved through a highly efficient genetic algorithm. Furthermore, the Villasana Garver's constructive heuristic algorithm is implemented to render the configurations of the genetic algorithm feasible. The installation of series capacitive compensation devices is carried out with the aim of modifying the reactance of the original circuit. The linearization of active power losses is done through piecewise linear functions.
Book Synopsis Transmission Network Expansion Planning Problem Considering SCC and Active Power Losses by : Luis A Gallego
Download or read book Transmission Network Expansion Planning Problem Considering SCC and Active Power Losses written by Luis A Gallego and published by Eliva Press. This book was released on 2022-08-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the accelerated growth of electricity demand, the scarcity of primary resources to produce electricity, and technological advances in recent years, electricity companies must face and solve these challenges in the best possible way, and for that, the Transmission Network Expansion Planning (TNEP) plays a crucial role, since the decisions taken in long term planning determine the optimal form of expansion of the networks, to respond to these needs of electricity demands. On the other hand, there is also the tendency to leave the TNEP problem more efficient, robust, and closer to to what happens in real electrical networks. For these reasons, this article proposes a methodology to solve the TNEP problem considering active power losses. On the other hand, is developed a modeling and solution approach to the static and multistage transmission network expansion planning problem considering series capacitive compensation and active power losses. The transmission network expansion planning is formulated as a mixed integer nonlinear programming problem and solved through a highly efficient genetic algorithm. Furthermore, the Villasana Garver's constructive heuristic algorithm is implemented to render the configurations of the genetic algorithm feasible. The installation of series capacitive compensation devices is carried out with the aim of modifying the reactance of the original circuit. The linearization of active power losses is done through piecewise linear functions.
This dissertation, "Transmission Expansion Planning in a Restructured Electricity Market" by Cheuk-wing, Lee, 李卓穎, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of thesis entitled "Transmission Expansion Planning in a Restructured Electricity Market" Submitted by Lee Cheuk Wing for the degree of Master of Philosophy at The University of Hong Kong in June 2007 Transmission expansion planning has been transformed by the restructuring of the power industry, and has become much more complicated as a result of the conflicting objectives and uncertainties which have been exposed by the electricity market. Transmission expansion planning has to change to deal with these new challenges. This thesis first organizes and classifies existing methods of transmission expansion planning, including both transmission planning and transmission investment in both regulated and deregulated environments, so as to facilitate future research in this area. Due to the restructuring of the power industry, transmission companies have lost their incentive to invest in transmission systems. Therefore, a value-based transmission expansion planning algorithm is proposed. The algorithm uses the probability density functions of locational marginal prices to handle the changes in power flow patterns due to the varied offering prices set by generation companies strategically. Unfortunately, it does not consider non-random uncertainties, and a scenario technique has therefore been included into the proposed algorithm to make it more realistic. In the thesis, transmission investment is assumed to be open to the public in a merchant and regulated transmission investment pattern in both risk-free and risky investing environments. In a risk-free investing environment, a transmission company is able to increase revenue with increased risk. In a risky investing environment, transmission companies can increase return with higher risk, reduce their return with lower risk or fix their return with original risk. Public investors have fixed a rate of return in a risk-free environment, but face an uncertain rate of return in a risky environment. By using the portfolio theory, public investors can hedge their risks by investing in transmission expansion projects and other assets. In conclusion, both transmission planning and transmission investment should be studied and improved to meet the challenges facing the power industry and enhance market performance. Both areas are investigated in this thesis, and new ideas in both areas are proposed. DOI: 10.5353/th_b3895941 Subjects: Electric power transmission - Econometric models Electric power distribution - Econometric models Electric industries - Deregulation
Book Synopsis Transmission Expansion Planning in a Restructured Electricity Market by : Cheuk-Wing Lee
Download or read book Transmission Expansion Planning in a Restructured Electricity Market written by Cheuk-Wing Lee and published by Open Dissertation Press. This book was released on 2017-01-27 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation, "Transmission Expansion Planning in a Restructured Electricity Market" by Cheuk-wing, Lee, 李卓穎, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of thesis entitled "Transmission Expansion Planning in a Restructured Electricity Market" Submitted by Lee Cheuk Wing for the degree of Master of Philosophy at The University of Hong Kong in June 2007 Transmission expansion planning has been transformed by the restructuring of the power industry, and has become much more complicated as a result of the conflicting objectives and uncertainties which have been exposed by the electricity market. Transmission expansion planning has to change to deal with these new challenges. This thesis first organizes and classifies existing methods of transmission expansion planning, including both transmission planning and transmission investment in both regulated and deregulated environments, so as to facilitate future research in this area. Due to the restructuring of the power industry, transmission companies have lost their incentive to invest in transmission systems. Therefore, a value-based transmission expansion planning algorithm is proposed. The algorithm uses the probability density functions of locational marginal prices to handle the changes in power flow patterns due to the varied offering prices set by generation companies strategically. Unfortunately, it does not consider non-random uncertainties, and a scenario technique has therefore been included into the proposed algorithm to make it more realistic. In the thesis, transmission investment is assumed to be open to the public in a merchant and regulated transmission investment pattern in both risk-free and risky investing environments. In a risk-free investing environment, a transmission company is able to increase revenue with increased risk. In a risky investing environment, transmission companies can increase return with higher risk, reduce their return with lower risk or fix their return with original risk. Public investors have fixed a rate of return in a risk-free environment, but face an uncertain rate of return in a risky environment. By using the portfolio theory, public investors can hedge their risks by investing in transmission expansion projects and other assets. In conclusion, both transmission planning and transmission investment should be studied and improved to meet the challenges facing the power industry and enhance market performance. Both areas are investigated in this thesis, and new ideas in both areas are proposed. DOI: 10.5353/th_b3895941 Subjects: Electric power transmission - Econometric models Electric power distribution - Econometric models Electric industries - Deregulation
In a period of great uncertainty in transmission expansion planning, location and types of future generation mix, the work in this thesis introduces a novel approach for and an alternative to conventional transmission expansion planning (TEP). Current practice in TEP is dominated by scenario-driven approaches that rely on assumptions for the nature and pattern of geographic placement of generation and load. Such expansion futures seek transmission additions to minimize long-term horizon combination of operating and capital costs, while addressing anticipated reliability issues, reduction in CO2 emissions, integration of renewable sources of energy, among other objectives and constraints. The tremendous uncertainty in future generation mix, load growth, technology and CO2 emission policy is putting great strain on present practice in transmission expansion planning. As a fundamentally different philosophy, that draws on analogies to the network routing/congestion minimization problem in data networks, the work herein proposes a new paradigm for optimal transmission expansion, focusing solely on properties of the transmission network itself. Exploiting the special graph-related eigenvalue/eigenvector structure of Laplacian matrices such as the bus susceptance matrix, B, in a dc power flow approximation, the metrics developed in this thesis are intrinsic to the network and are quantitative measures of a power system's performance. In our initial contribution, we adopt the condition number of the power flow Jacobian (or its dc approximation, the B matrix) as an intrinsic measure of the robustness of transmission network, independent of specific scenarios of anticipated load or generation. As continuation of our work in TEP, we examine the role of network Laplacian structures in TEP by extending consideration to the generalized volume of bus power injections feasible under line flow constraints. We then propose a performance metric for an electric power transmission network that is again independent of specific generation/load placement scenarios, but seeks to maximize a global measure of a network's ability to absorb and deliver power. Such metric characterizes the capacity of a transmission network to sink/source power to its nodes by measuring the generalized volume of the set of feasible power injections. Using perspective of the determinant as setting the volume expansion/contraction for a linear operator, we demonstrate in a dc power flow approximation that this measure is closely related to the magnitude of the determinant of the bus susceptance matrix. Adopting Laplacian and Linear Embedding techniques, we further show that this global measure of network performance is tractable, easily defined analytically and yields computationally efficient algorithms for siting and sizing transmission links. To further extend our work in TEP, we include the role of node centrality, a concept encountered in social networks, which has recently found application in power system problems. Informed by our previously developed metrics of network performance, we derive a centrality measure for a transmission system network that distinguishes itself from earlier centrality measures employed in the power system literature. We argue that the centrality metric developed in this work is more appropriate for a TEP problem, as it makes use of all paths in the network. Finally, in the last part of this thesis, we review the important role played by non-electric constraints such as geographic barriers, environmental impact, public/stakeholder input, etc. in transmission expansion planning. Then we introduce an approach for the inclusion of geographic decision factors in the form of line length. This modification to our transmission expansion planning problem will allow one the possibility to gauge the performance of a transmission line in conjunction with the geographic length and cost associated with the construction of the line.
Book Synopsis Intrinsic Measures of Power System Network Performance for Transmission Expansion Planning by :
Download or read book Intrinsic Measures of Power System Network Performance for Transmission Expansion Planning written by and published by . This book was released on 2015 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a period of great uncertainty in transmission expansion planning, location and types of future generation mix, the work in this thesis introduces a novel approach for and an alternative to conventional transmission expansion planning (TEP). Current practice in TEP is dominated by scenario-driven approaches that rely on assumptions for the nature and pattern of geographic placement of generation and load. Such expansion futures seek transmission additions to minimize long-term horizon combination of operating and capital costs, while addressing anticipated reliability issues, reduction in CO2 emissions, integration of renewable sources of energy, among other objectives and constraints. The tremendous uncertainty in future generation mix, load growth, technology and CO2 emission policy is putting great strain on present practice in transmission expansion planning. As a fundamentally different philosophy, that draws on analogies to the network routing/congestion minimization problem in data networks, the work herein proposes a new paradigm for optimal transmission expansion, focusing solely on properties of the transmission network itself. Exploiting the special graph-related eigenvalue/eigenvector structure of Laplacian matrices such as the bus susceptance matrix, B, in a dc power flow approximation, the metrics developed in this thesis are intrinsic to the network and are quantitative measures of a power system's performance. In our initial contribution, we adopt the condition number of the power flow Jacobian (or its dc approximation, the B matrix) as an intrinsic measure of the robustness of transmission network, independent of specific scenarios of anticipated load or generation. As continuation of our work in TEP, we examine the role of network Laplacian structures in TEP by extending consideration to the generalized volume of bus power injections feasible under line flow constraints. We then propose a performance metric for an electric power transmission network that is again independent of specific generation/load placement scenarios, but seeks to maximize a global measure of a network's ability to absorb and deliver power. Such metric characterizes the capacity of a transmission network to sink/source power to its nodes by measuring the generalized volume of the set of feasible power injections. Using perspective of the determinant as setting the volume expansion/contraction for a linear operator, we demonstrate in a dc power flow approximation that this measure is closely related to the magnitude of the determinant of the bus susceptance matrix. Adopting Laplacian and Linear Embedding techniques, we further show that this global measure of network performance is tractable, easily defined analytically and yields computationally efficient algorithms for siting and sizing transmission links. To further extend our work in TEP, we include the role of node centrality, a concept encountered in social networks, which has recently found application in power system problems. Informed by our previously developed metrics of network performance, we derive a centrality measure for a transmission system network that distinguishes itself from earlier centrality measures employed in the power system literature. We argue that the centrality metric developed in this work is more appropriate for a TEP problem, as it makes use of all paths in the network. Finally, in the last part of this thesis, we review the important role played by non-electric constraints such as geographic barriers, environmental impact, public/stakeholder input, etc. in transmission expansion planning. Then we introduce an approach for the inclusion of geographic decision factors in the form of line length. This modification to our transmission expansion planning problem will allow one the possibility to gauge the performance of a transmission line in conjunction with the geographic length and cost associated with the construction of the line.
Achieving clean energy goals may require new investments in transmission, especially if planners anticipate economic growth and increased demand for electricity. The renewable energy zone (REZ) transmission planning process can help policymakers ensure their infrastructure investments achieve national goals in the most economical manner. Policymakers, planners, and system operators around the world have used variations of the REZ process to chart the expansion of their transmission networks and overcome the barriers of traditional transmission planning. This guidebook seeks to help power system planners, key decision makers, and stakeholders understand and use the REZ transmission planning process to integrate transmission expansion planning and renewable energy generation planning.
Book Synopsis Renewable Energy Zone (REZ) Transmission Planning Process: A Guidebook for Practitioners by :
Download or read book Renewable Energy Zone (REZ) Transmission Planning Process: A Guidebook for Practitioners written by and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Achieving clean energy goals may require new investments in transmission, especially if planners anticipate economic growth and increased demand for electricity. The renewable energy zone (REZ) transmission planning process can help policymakers ensure their infrastructure investments achieve national goals in the most economical manner. Policymakers, planners, and system operators around the world have used variations of the REZ process to chart the expansion of their transmission networks and overcome the barriers of traditional transmission planning. This guidebook seeks to help power system planners, key decision makers, and stakeholders understand and use the REZ transmission planning process to integrate transmission expansion planning and renewable energy generation planning.
Uncertainties in Modern Power Systems combines several aspects of uncertainty management in power systems at the planning and operation stages within an integrated framework. This book provides the state-of-the-art in electric network planning, including time-scales, reliability, quality, optimal allocation of compensators and distributed generators, mathematical formulation, and search algorithms. The book introduces innovative research outcomes, programs, algorithms, and approaches that consolidate the present status and future opportunities and challenges of power systems. The book also offers a comprehensive description of the overall process in terms of understanding, creating, data gathering, and managing complex electrical engineering applications with uncertainties. This reference is useful for researchers, engineers, and operators in power distribution systems. Includes innovative research outcomes, programs, algorithms, and approaches that consolidate current status and future of modern power systems Discusses how uncertainties will impact on the performance of power systems Offers solutions to significant challenges in power systems planning to achieve the best operational performance of the different electric power sectors
Book Synopsis Uncertainties in Modern Power Systems by : Ahmed F. Zobaa
Download or read book Uncertainties in Modern Power Systems written by Ahmed F. Zobaa and published by Academic Press. This book was released on 2020-10-26 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertainties in Modern Power Systems combines several aspects of uncertainty management in power systems at the planning and operation stages within an integrated framework. This book provides the state-of-the-art in electric network planning, including time-scales, reliability, quality, optimal allocation of compensators and distributed generators, mathematical formulation, and search algorithms. The book introduces innovative research outcomes, programs, algorithms, and approaches that consolidate the present status and future opportunities and challenges of power systems. The book also offers a comprehensive description of the overall process in terms of understanding, creating, data gathering, and managing complex electrical engineering applications with uncertainties. This reference is useful for researchers, engineers, and operators in power distribution systems. Includes innovative research outcomes, programs, algorithms, and approaches that consolidate current status and future of modern power systems Discusses how uncertainties will impact on the performance of power systems Offers solutions to significant challenges in power systems planning to achieve the best operational performance of the different electric power sectors
