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Flexible Distribution Networks

  • 1st Edition - October 21, 2023
  • Latest edition
  • Authors: Peng Li, Haoran Ji, Hao Yu, Chengshan Wang
  • Language: English

Flexible Distribution Networks facilitates the enhanced flexibility, efficiency and reliability of distribution networks under complex operating environments delivered by high DG p… Read more

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Description

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.

Key features

  • 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

Readership

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

Table of contents

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

Product details

  • Edition: 1
  • Latest edition
  • Published: October 21, 2023
  • Language: English

About the authors

PL

Peng Li

Dr. Peng Li is currently a professor at the School of Electrical and Information Engineering, Tianjin University, China. As a principal investigator (PI), he has led many national science and technology programs in China, including the National Key R&D Program subproject and Key Program of the National Natural Science Foundation of China. He is the deputy editor-in-chief for Automation of Electric Power Systems; an associate editor of IEEE Transactions on Sustainable Energy, Sustainable Energy Technologies and Assessments, and CSEE Journal of Power and Energy Systems; and an editorial board member of Proceedings of the CSEE, Advances in Applied Energy.

Affiliations and expertise
School of Electrical and Information Engineering, Tianjin University, China

HJ

Haoran Ji

Dr. Haoran Ji received his Ph.D. degree from the School of Electrical and Information Engineering, Tianjin University, China. He is currently a professor at the School of Electrical and Information Engineering, Tianjin University, China. His research interests include distributed generation systems and optimal operation of distribution networks. He is a member of the editorial board member for Protection and Control of Modern Power Systems (PCMP) and a member of the CIGRE National Committee's C1 Subcommittee.
Affiliations and expertise
School of Electrical and Information Engineering, Tianjin University, China

HY

Hao Yu

Dr. Hao Yu is currently an associate professor at the School of Electrical and Information Engineering, Tianjin University, China. His main research interests include the modelling, analysis, and operation optimization of active distribution networks and integrated energy systems. He has contributed to numerous academic papers in related areas. He is an assistant editor of Sustainable Energy Technologies and Assessments and IET Energy Systems Integration, a young editorial member of Applied Energy, and a member of the Young Expert Group of the Journals Center of China Electric Research Institute.

Affiliations and expertise
School of Electrical and Information Engineering, Tianjin University, Tianjin, China

CW

Chengshan Wang

Dr. Chengshan Wang is currently a professor at the School of Electrical and Information Engineering, Tianjin University, China. He is a member of Chinese Academy of Engineering. His main research interests include the operation and planning of distribution networks and sustainable power systems. He was the PI of the Chinese National Basic Research Program (973) “Research on the Key Issues of Distributed Generation Systems”. He is the editor-in-Chief of IET Energy Systems Integration.

Affiliations and expertise
School of Electrical and Information Engineering, Tianjin University, Tianjin, China

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