Intelligent Coordinated Control of Complex Uncertain Systems for Power Distribution and Network Reliability - Xiangping Meng

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Résumé :
Intelligent Coordinated Control of Complex Uncertain Systems for Power Distribution and Network Reliability discusses the important topics revolving around the control of complex uncertain systems using the intelligent coordination control mechanism, a topic that has become the research focus of current control and computer fields. The book provides theoretical guidance for power distribution network reliability analysis, focusing on practical problems and algorithms within the field....

Biographie:
Xiangping Meng is a full professor at school of electrical and information engineering, the Changchun Institute of Technology. Also, she is a research professor and director at Jilin province universities distribution automation engineering research center. Her areas of research are intelligent control, power system optimal operation and control, power distribution network reliability control, power system voltage stability, power quality analysis and control. She was elected as the Jilin provincial high-level experts, the Jilin provincial outstanding young scholar, and the Changchun outstanding contributions experts....

Sommaire:

Preface

1. Introduction

1.1 Perspective of Intelligent Coordinated Control of Complex Uncertain Systems

1.2 Background of Distribution Network Reliability Control

1.3 Relationship between Reliability and Vulnerability of Distribution Network

1.4 Research Situation

1.5 Main Works

1.6 References

2.1 Multi-Agent System (MAS)

2.2 Multi-Agent System reinforcement learning

2.3 Ant Colony Algorithm

2.4 BP Neural Network

2.5 Particle Swarm Optimization

2.6 References

3.1 Introduction

3.2 Grid Vulnerability and Its Influencing Factors

3.3 Reliability Warning Index

3.4 Characteristics of various indexes and their applications

3.5 References

4.1 Introduction

4.2 Voltage Stability

4.3 Voltage stability assessment index-L

4.4 Solution for Index-L

4.5 Examples and Results

4.6 References

5.1 Introduction

5.2 Multi-Agent Reinforcement Learning based on Quantum Computing

5.3 Design of Vulnerability Assessment System for Distribution Network based on Q-MAS

5.4 Realization of Basic Vulnerability Assessment [8-13]

5.5 Realization of Comprehensive Vulnerability Assessment

5.6 References

6.1 Introduction

6.2 Low Voltage Risk Analysis for Single Bus

6.3 Calculation of Relative Vulnerability among Buses

6.4 Low Voltage Comprehensive Vulnerability Index of Distribution Network

6.5 Examples and Results

6.6 References

7.1 Introduction

7.2 Direction-Coordinating based Ant Colony Algorithm

7.3 Applications in Distribution Network Reconfiguration

7.4 References

8.1 Introduction

8.2 Unit Maintenance Scheduling Mode

8.4 Examples and Results

8.5 References