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Flexible Distribution Networks
1st Edition - November 1, 2023
Authors: Peng Li, Haoran Ji, Hao Yu, Chengshan Wang
Paperback ISBN:
9 7 8 - 0 - 1 2 - 8 2 3 8 9 0 - 5
Flexible Distribution Networks facilitates the enhanced flexibility, efficiency and reliability of distribution networks under complex operating environments delivered by high DG… Read more
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Flexible Distribution Networks facilitates the enhanced flexibility, efficiency and reliability of distribution networks under complex operating environments delivered by high DG penetration. Considering the high share of DG and flexibility improvement brought by SOP-type power electronic devices, the work aims to solve the issues of optimal operation of flexible distribution networks. Technical solutions for flexible operation problems of FDN are discussed in depth, including efficient analytical methods with high penetration of DG, SOP-based optimal operation methods with uncertainty, and high-performance convex optimization algorithms.
Readers will develop sound knowledge and gain insights into the optimal operation of FDN with high penetration of DG.
- Provides efficient operation analysis methods for FDN with high penetration of distributed generators
- Proposes measurement-based network estimation methods to improve the observability of network states
- Develops SOP-based optimal operation methods to facilitate the flexible operation of FDN under complex and uncertain environments
- Expounds local control frameworks to realize the rapid and effective implementation of flexible operation strategies
- Reviews high-performance convex optimization methods to realize the efficient solving of optimal operation problems in FDN
Researchers involved in distribution network. Researchers will gain detailed information of efficient operation analysis, optimal operation methods and high-performance optimization algorithms of FDN. Can also be used as textbook for advanced undergraduate and graduate teaching in electrical engineering
Part I Background
Chapter 1 Introduction
1.1 Prospect of Flexible Distribution Networks (FDN)
1.2 New Characteristics with Integration of Soft Open Point (SOP)
1.3 Evolution and Challenge with Uncertainty
1.4 Literature Review
1.5 Operational Flexibility in Distribution Networks
Part II Modeling and Analytical Calculation
Chapter 2 Components and Modelling of FDN
2.1 Introduction
2.2 Conventional Distribution Network Devices
2.3 Distributed Energy Resources
2.4 SOP-type Power Electronic Devices
2.5 Energy Storage System
2.6 Summary
Chapter 3 Efficient Operation Analysis of FDN
3.1 Introduction
3.2 Network State Estimation
3.3 Power Flow Analysis with DG
3.4 Network Hosting Capacity Assessment for DG
3.5 Analytical Reliability Calculation based on Fault Incidence Matrix
3.6 Summary
Chapter 4 High-performance Optimization Algorithm
4.1 Introduction
4.2 Convex Optimization for NLP Problems
4.3 Second-Order Cone Programming (SOCP)
4.3.1 Second-Order Conic Relaxation
4.3.2 Enhanced SOCP-based Approach
4.4 Semi-definite Programming (SDP)
4.5 Difference-of-convex Programming (DCP)
4.6 Dealing with Integer Variable Integration
4.7 Summary
Chapter 5 Quantified Evaluation of Operational Flexibility
5.1 Introduction
5.2 Characteristic Analysis of Operational Flexibility
5.3 Quantified Evaluation of Operational Flexibility
5.3.1 Modeling of Node Flexibility
5.3.2 Flexibility of Network Transmission
5.3.3 Flexibility Evaluation to Improve DG Penetration
5.4 Visualization of Operational Flexibility
5.4.1 Region-based Mathematical Formulation
5.4.2 Quantified Calculation and Visualization
5.5 Summary
Part III Optimal Operation and Localized Implementation
Chapter 6 Optimal Operation under Complex Environments
6.1 Introduction
6.2 Coordinated Voltage and VAR Control
6.2.1 Coordinated VAR Control Problem Formulation
6.2.2 MISOCP Model Conversion
6.2.3 Case Studies and Analysis
6.3 Multiple-Feeder Load Balance
6.3.1 Feeder Load Balancing Based on Multi-terminal SOP
6.3.2 Case Studies and Analysis
6.4 Optimal Operation Under Unbalanced Conditions
6.4.Three-phase Optimal Operation Based on SOP
6.4.2 SDP Model Conversion
5.4.3 Case Studies and Analysis
6.5 Congestion Management
6.5.1 Congestion Management Modeling of FDN
6.5.2 DLMP Pricing Model Conversion of Congestion Management
6.5.3 Case Studies and Analysis
6.6 Summary
Chapter 7 Load Restoration under Fault Condition
7.1 Introduction
7.2 Principle of Load Restoration with SOP
7.3 Fast Supply Restoration Based on Multiple SOPs
6.3.1 Influence Factor Analysis of SOP in Restoration
6.3.2 Load Restoration Strategy Based on Multiple SOPs
6.3.3 Implementation based on Contingency Set
7.4 SOP-based Islanding Partition Considering DG, ESS, and Load
6.4.1 Modeling of SOP in islanding operation
6.4.2 Formulation of SOP-based Islanding Partition
7.5 Case Studies and Analysis
7.6 Summary
Chapter 8 Localized Operation and Implementation
8.1 Introduction
8.2 Network Partition with High Penetration of DG
8.3 MPC-based Local Control Strategy of Group DG
8.3.1 Local Control Curve Modeling of DG Inverter
8.3.2 Parameter Tuning of Local Control Curve
8.3.3 Implementation of Local Control Strategy of DG
8.4 Regional Autonomy and Collaboration with Local Information
8.4.1 Combined Decentralized and Local Voltage Control of SOP
8.4.2 Fully Decentralized Voltage Control based on Sensitivity Analysis
8.5 Case Studies and Analysis
8.6 Summary
Part IV Operation and Planning with Uncertainties
Chapter 9 Operation with Multiple Dimensional Uncertainties
9.1 Introduction
9.2 Uncertainty Optimization Algorithm
9.2.1 Robust Optimization based on CC&G Algorithm
9.2.2 Chance-constrained Programming
9.3 Robust Operation with Uncertainty of DG
9.3.1 Mathematical Formulation of Robust SOP Operation
9.3.2 Case Studies and Analysis
9.4 Islanding Partition Considering Intermittent DG
9.4.1 Islanding Operation with Uncertainty of DG
9.4.2 Case Studies and Analysis
9.5 Summary
Chapter 10 Data-driven Method to Cope with Uncertain Parameters
10.1 Introduction
10.2 Model-free Adaptive Control of FDN based on Multiple Data
10.3 Data-Driven Stochastic Optimization with Uncertainties
10.4 Summary
Chapter 11 Optimal Planning of Flexible Distribution Devices
11.1 Introduction
11.2 Topology Evolution with Flexible Connection
11.3 Typical Scenario Generation Considering Uncertainty of DG
11.4 Optimal Siting and Sizing of SOPs based on Reliability and Economy
11.5 Coordinated Planning of Energy Storage and SOP
11.6 Summary
Chapter 1 Introduction
1.1 Prospect of Flexible Distribution Networks (FDN)
1.2 New Characteristics with Integration of Soft Open Point (SOP)
1.3 Evolution and Challenge with Uncertainty
1.4 Literature Review
1.5 Operational Flexibility in Distribution Networks
Part II Modeling and Analytical Calculation
Chapter 2 Components and Modelling of FDN
2.1 Introduction
2.2 Conventional Distribution Network Devices
2.3 Distributed Energy Resources
2.4 SOP-type Power Electronic Devices
2.5 Energy Storage System
2.6 Summary
Chapter 3 Efficient Operation Analysis of FDN
3.1 Introduction
3.2 Network State Estimation
3.3 Power Flow Analysis with DG
3.4 Network Hosting Capacity Assessment for DG
3.5 Analytical Reliability Calculation based on Fault Incidence Matrix
3.6 Summary
Chapter 4 High-performance Optimization Algorithm
4.1 Introduction
4.2 Convex Optimization for NLP Problems
4.3 Second-Order Cone Programming (SOCP)
4.3.1 Second-Order Conic Relaxation
4.3.2 Enhanced SOCP-based Approach
4.4 Semi-definite Programming (SDP)
4.5 Difference-of-convex Programming (DCP)
4.6 Dealing with Integer Variable Integration
4.7 Summary
Chapter 5 Quantified Evaluation of Operational Flexibility
5.1 Introduction
5.2 Characteristic Analysis of Operational Flexibility
5.3 Quantified Evaluation of Operational Flexibility
5.3.1 Modeling of Node Flexibility
5.3.2 Flexibility of Network Transmission
5.3.3 Flexibility Evaluation to Improve DG Penetration
5.4 Visualization of Operational Flexibility
5.4.1 Region-based Mathematical Formulation
5.4.2 Quantified Calculation and Visualization
5.5 Summary
Part III Optimal Operation and Localized Implementation
Chapter 6 Optimal Operation under Complex Environments
6.1 Introduction
6.2 Coordinated Voltage and VAR Control
6.2.1 Coordinated VAR Control Problem Formulation
6.2.2 MISOCP Model Conversion
6.2.3 Case Studies and Analysis
6.3 Multiple-Feeder Load Balance
6.3.1 Feeder Load Balancing Based on Multi-terminal SOP
6.3.2 Case Studies and Analysis
6.4 Optimal Operation Under Unbalanced Conditions
6.4.Three-phase Optimal Operation Based on SOP
6.4.2 SDP Model Conversion
5.4.3 Case Studies and Analysis
6.5 Congestion Management
6.5.1 Congestion Management Modeling of FDN
6.5.2 DLMP Pricing Model Conversion of Congestion Management
6.5.3 Case Studies and Analysis
6.6 Summary
Chapter 7 Load Restoration under Fault Condition
7.1 Introduction
7.2 Principle of Load Restoration with SOP
7.3 Fast Supply Restoration Based on Multiple SOPs
6.3.1 Influence Factor Analysis of SOP in Restoration
6.3.2 Load Restoration Strategy Based on Multiple SOPs
6.3.3 Implementation based on Contingency Set
7.4 SOP-based Islanding Partition Considering DG, ESS, and Load
6.4.1 Modeling of SOP in islanding operation
6.4.2 Formulation of SOP-based Islanding Partition
7.5 Case Studies and Analysis
7.6 Summary
Chapter 8 Localized Operation and Implementation
8.1 Introduction
8.2 Network Partition with High Penetration of DG
8.3 MPC-based Local Control Strategy of Group DG
8.3.1 Local Control Curve Modeling of DG Inverter
8.3.2 Parameter Tuning of Local Control Curve
8.3.3 Implementation of Local Control Strategy of DG
8.4 Regional Autonomy and Collaboration with Local Information
8.4.1 Combined Decentralized and Local Voltage Control of SOP
8.4.2 Fully Decentralized Voltage Control based on Sensitivity Analysis
8.5 Case Studies and Analysis
8.6 Summary
Part IV Operation and Planning with Uncertainties
Chapter 9 Operation with Multiple Dimensional Uncertainties
9.1 Introduction
9.2 Uncertainty Optimization Algorithm
9.2.1 Robust Optimization based on CC&G Algorithm
9.2.2 Chance-constrained Programming
9.3 Robust Operation with Uncertainty of DG
9.3.1 Mathematical Formulation of Robust SOP Operation
9.3.2 Case Studies and Analysis
9.4 Islanding Partition Considering Intermittent DG
9.4.1 Islanding Operation with Uncertainty of DG
9.4.2 Case Studies and Analysis
9.5 Summary
Chapter 10 Data-driven Method to Cope with Uncertain Parameters
10.1 Introduction
10.2 Model-free Adaptive Control of FDN based on Multiple Data
10.3 Data-Driven Stochastic Optimization with Uncertainties
10.4 Summary
Chapter 11 Optimal Planning of Flexible Distribution Devices
11.1 Introduction
11.2 Topology Evolution with Flexible Connection
11.3 Typical Scenario Generation Considering Uncertainty of DG
11.4 Optimal Siting and Sizing of SOPs based on Reliability and Economy
11.5 Coordinated Planning of Energy Storage and SOP
11.6 Summary
- No. of pages: 316
- Language: English
- Published: November 1, 2023
- Imprint: Elsevier
- Paperback ISBN: 9780128238905
PL
Peng Li
Dr. Peng Li is currently a professor at School of Electrical and Information Engineering, Tianjin University, China. His research interests include operation optimization of distribution networks and integrated energy systems, analysis and transient simulation of power system. He has published 41 academic articles as first author or corresponding author. Three articles are ranked “Highly Cited Paper” by the Essential Science Indicators; one article has been awarded the best paper in the IEEE Power Energy Society General Meeting. Dr. Peng Li holds 33 Chinese patents. He also co-authored 4 books. He has received more than 20 research grants with the accumulated fund over 20 million CNY (around USD 2.90 million). He is the assistant editor of Journal of Power and Energy Systems (JPES) and IET Energy Systems Integration, the young editorial board member for Proceedings of the Chinese Society for Electrical Engineering and Power System Protection and Control. He has served for the international conferences as session chair and dozens of Chinese and English journals as reviewer.Dr. Peng Li is currently a professor at School of Electrical and Information Engineering, Tianjin University, China. His research interests include operation optimization of distribution networks and integrated energy systems, analysis and transient simulation of power system. He has published 41 academic articles as first author or corresponding author. Three articles are ranked “Highly Cited Paper” by the Essential Science Indicators; one article has been awarded the best paper in the IEEE Power Energy Society General Meeting. Dr. Peng Li holds 33 Chinese patents. He also co-authored 4 books. He has received more than 20 research grants with the accumulated fund over 20 million CNY (around USD 2.90 million). He is the assistant editor of Journal of Power and Energy Systems (JPES) and IET Energy Systems Integration, the young editorial board member for Proceedings of the Chinese Society for Electrical Engineering and Power System Protection and Control. He has served for the international conferences as session chair and dozens of Chinese and English journals as reviewer.
Affiliations and expertise
Professor, School of Electrical and Information Engineering, Tianjin University, ChinaHJ
Haoran Ji
Dr. Haoran Ji received his Ph.D. degree from the School of Electrical and Information Engineering, Tianjin University, China in 2019. He is currently a postdoc fellow at Tianjin University. His research is supported by China Postdoctoral Innovative Research Funding Program (2019). His research interests include distributed generation systems and optimal operation of distribution networks. He is a member of IEEE and has served for IEEE Transactions on Smart Grid and Applied Energy as reviewer.
Affiliations and expertise
School of Electrical and Information Engineering, Tianjin University, ChinaHY
Hao Yu
Dr. Hao Yu received his B.S. and Ph.D. degrees in electrical engineering from Tianjin University, Tianjin, China, in 2010 and 2015, respectively. He is currently an Associate Professor with the School of Electrical and Information Engineering, Tianjin University. His research interests include the operation simulation, analysis and optimization of active distribution networks and integrated energy systems. He is a member of IEEE, and the Assistant Editor for IET Energy Systems Integration.
Affiliations and expertise
Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin, ChinaCW
Chengshan Wang
Chengshan Wang received his B.Eng. M.Eng and Ph.D. degrees in electrical engineering from Tianjin University, Tianjin, China, in 1983, 1985 and 1991, respectively. He became a Full Professor with Tianjin University in 1996. He was a Visiting Scientist with Cornell University from 1994 to 1996 and as a Visiting Professor with Carnegie Mellon University from 2001 to 2002. He is the Chief Scientist of China 973 Project, “Research on the Key Issues of Distributed Generation Systems” from 2009 to 2013. His research interests include distribution system analysis and planning, distributed generation system and Microgrid, and power system security analysis. He was a recipient of the National Science Fund for Distinguished Young Scholars. He has published 5 books in related areas and has been committed to the compilation of several China National strategic reports.
Affiliations and expertise
Professsor in Electrical Engineering, Tianjin University, Tianjin, China