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

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 systemsPresents theoretical guidance for power distribution network reliability analysis Focuses on practical problems and algorithms INDICE: Chapter 1 Introduction1.1 Background and Significance of Intelligent Coordinated Control of Complex Uncertain Systems1.2 Background of Distribution Network Security Control1.3 Relationship between the Safety and Stability of Distribution Network and Vulnerability of the System1.4 Research Status of Power Grid Security Control1.5 Main Content of the BookChapter 2 Theoretical Basis for Intelligent Coordinated Control2.1 Multi-Agent System2.2 Reinforcement Learning of Multi-Agent System2.3 Ant Colony Algorithm2.4 BP Neural Network2.5 Particle Swarm OptimizationChapter 3 Power Grid Vulnerability Early-warning Indicators3.1 Introduction3.2 Power Grid Vulnerability and Influence Factors3.3 Early-warning Indicators of Power Grid Safety 3.4 Advantages and Disadvantages of Each Indicator and Scope of ApplicationChapter 4 Derivation of Distribution Network Vulnerability Indicators Based on Voltage Stability4.1 Introduction4.2 Overview of Voltage Stability4.3 Evaluation Indicator L of Voltage Stability in Power Grid4.4 The Model for Indicator CalculationChapter 5 Vulnerability Assessment of Distribution Network Based on Quantum Multi-Agent5.1 Introduction5.2 Reinforcement Learning of Multi-Agent System Based on Quantum Theory5.3 The Design of Distribution Network Vulnerability Analysis System Based on Q-MAS5.4 The Realization of Primary Vulnerability Assessment Function[8~13]5.5 The Realization of Comprehensive Vulnerability Assessment Function of Distribution NetworkChapter 6 Low Voltage Risk Assessment of Distribution Network Based on Vulnerability Information Coordination among Buses6.1 Introduction6.2 Low Voltage Risk Analysis of Isolated Buses6.3 Quantitative Calculation of Interrelationship of Vulnerabilities between Buses6.4 Comprehensive Indicator of Low Voltage Vulnerability in Distribution Network6.5 Example AnalysisChapter 7 Direction-Coordinating Based Ant Colony Algorithm and Its Application in Distribution Network Reconfiguration7.1 Introduction7.2 Improved Ant Colony Algorithm Based on Directional Pheromone7.3 Application of Direction-Coordinating Ant Colony Algorithm in Distribution Network ReconfigurationChapter 8 Optimization and Solution of Unit Maintenance Scheduling Models8.1 Introduction8.2 To Establish the Optimization Model of Unit Maintenance Plan8.3 The Solution of Unit Maintenance Plan Based on Improved Ant Colony Algorithm8.4 Example Analysis

• ISBN: 978-0-12-849896-5
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 352
• Fecha Publicación: 01/12/2015
• Nº Volúmenes: 1
• Idioma: Inglés