Meng / Pian Intelligent Coordinated Control of Complex Uncertain Systems for Power Distribution and Network Reliability

1. Auflage 2015
ISBN: 978-0-12-803958-8
Verlag: Academic Press
Format: EPUB
Kopierschutz: 6 - ePub Watermark

E-Book, Englisch, 352 Seiten, Format (B × H): 152 mm x 229 mm

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 presents a comprehensive review of the current state of research on complex uncertain systems for power distribution and network reliability and provides theoretical guidance for power distribution network reliability analysis, focusing on practical problems and algorithms within the field.


- Provides effective solutions for complex control systems
- Presents theoretical guidance for power distribution network reliability analysis
- Focuses on practical problems and algorithms

Zielgruppe

<p>The book will be an essential reading material for practicing engineers, researchers, technicians, advanced undergraduate and graduate students in electrical power industries.</p>

Autoren/Hrsg.

Meng, Xiangping

Pian, Zhaoyu

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
• Technische Wissenschaften Energietechnik | Elektrotechnik Energieverteilung, Stromnetze

Inhaltsverzeichnis

Chapter 1 Introduction
1.1 Background and Significance of Intelligent Coordinated Control of Complex Uncertain Systems
1.2 Background of Distribution Network Security Control
1.3 Relationship between the Safety and Stability of Distribution Network and Vulnerability of the System
1.4 Research Status of Power Grid Security Control
1.5 Main Content of the Book
Chapter 2 Theoretical Basis for Intelligent Coordinated Control
2.1 Multi-Agent System
2.2 Reinforcement Learning of Multi-Agent System
2.3 Ant Colony Algorithm
2.4 BP Neural Network
2.5 Particle Swarm Optimization
Chapter 3 Power Grid Vulnerability Early-warning Indicators
3.1 Introduction
3.2 Power Grid Vulnerability and Influence Factors
3.3 Early-warning Indicators of Power Grid Safety
3.4 Advantages and Disadvantages of Each Indicator and Scope of Application
Chapter 4 Derivation of Distribution Network Vulnerability Indicators Based on Voltage Stability
4.1 Introduction
4.2 Overview of Voltage Stability
4.3 Evaluation Indicator L of Voltage Stability in Power Grid
4.4 The Model for Indicator Calculation
Chapter 5 Vulnerability Assessment of Distribution Network Based on Quantum Multi-Agent
5.1 Introduction
5.2 Reinforcement Learning of Multi-Agent System Based on Quantum Theory
5.3 The Design of Distribution Network Vulnerability Analysis System Based on Q-MAS
5.4 The Realization of Primary Vulnerability Assessment Function[8~13]
5.5 The Realization of Comprehensive Vulnerability Assessment Function of Distribution Network
Chapter 6 Low Voltage Risk Assessment of Distribution Network Based on Vulnerability Information Coordination among Buses
6.1 Introduction
6.2 Low Voltage Risk Analysis of Isolated Buses
6.3 Quantitative Calculation of Interrelationship of Vulnerabilities between Buses
6.4 Comprehensive Indicator of Low Voltage Vulnerability in Distribution Network
6.5 Example Analysis
Chapter 7 Direction-Coordinating Based Ant Colony Algorithm and Its Application in Distribution Network Reconfiguration
7.1 Introduction
7.2 Improved Ant Colony Algorithm Based on Directional Pheromone
7.3 Application of Direction-Coordinating Ant Colony Algorithm in Distribution Network Reconfiguration
Chapter 8 Optimization and Solution of Unit Maintenance Scheduling Models
8.1 Introduction
8.2 To Establish the Optimization Model of Unit Maintenance Plan
8.3 The Solution of Unit Maintenance Plan Based on Improved Ant Colony Algorithm
8.4 Example Analysis

Über Autor(innen)

Meng, Xiangping
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.