Intelligent coordinated control of complex uncertain systems for power distribution network reliability. (2015)
- Record Type:
- Book
- Title:
- Intelligent coordinated control of complex uncertain systems for power distribution network reliability. (2015)
- Main Title:
- Intelligent coordinated control of complex uncertain systems for power distribution network reliability
- Further Information:
- Note: Xiangping Meng, Zhaoyu Pian.
- Authors:
- Meng, Xiangping
Pian, Zhaoyu - Contents:
- 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 VulnerabilityChapter 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 … (more)
- Publisher Details:
- Amsterdam : Elsevier
- Publication Date:
- 2015
- Extent:
- 1 online resource
- Subjects:
- 621.319
Electric power transmission -- Automatic control
Distributed generation of electric power -- Automatic control
Intelligent control systems
Feedback control systems - Languages:
- English
- ISBNs:
- 9780128039588
- Related ISBNs:
- 9780128498965
- Notes:
- Note: Description based on CIP data; item not viewed.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.44829
- Ingest File:
- 02_006.xml