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.
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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. Basics of Intelligent Coordinated Control Techniques
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. Vulnerability Index of Distribution Network
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. Derivation of Voltage Stability Index of Distribution Network
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. Vulnerability Assessment of Distribution Network Based on MAS and Quantum Computing
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. Distribution Network Low Voltage Risk Assessment Based on Relative Vulnerability among Buses
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. Direction-Coordinating Based Ant Colony Algorithm and Its Application in Distribution Network Reconfiguration
7.1 Introduction
7.2 Direction-Coordinating based Ant Colony Algorithm
7.3 Applications in Distribution Network Reconfiguration
7.4 References
8. Optimization and Solution of Unit Maintenance Plan
