Intelligent Coordinated Control of Complex Uncertain Systems for Power Distribution and Network Reliability 1st Edition by Meng Xiangping, Pian Zhaoyu 0128039582 9780128039588

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ISBN-10 :  0128039582 

ISBN-13 :  9780128039588

Author:  Meng Xiangping, Pian Zhaoyu

Intelligent Coordinated Control of Complex Uncertain Systems for Power Distribution 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.

 

Intelligent Coordinated Control of Complex Uncertain Systems for Power Distribution and Network Reliability 1st Table of contents:

Chapter 1: Introduction
Abstract
1.1. Background and significance of intelligent coordinated control of complex uncertainty system
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
Abstract
2.1. Multiagent system
2.2. Reinforcement learning of multiagent system
2.3. Ant colony algorithm
2.4. BP neural network
2.5. Particle swarm optimization
Chapter 3: Power Grid Vulnerability Early-Warning Indicators
Abstract
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
Abstract
4.1. Introduction
4.2. Overview of voltage stability
4.3. Evaluation indicator L of voltage stability in the power grid
4.4. The model for indicator calculation
4.5. Example analysis
Chapter 5: Vulnerability Assessment of the Distribution Network Based on Quantum Multiagent
Abstract
5.1. Introduction
5.2. Reinforcement learning of the multiagent 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
5.5. The realization of comprehensive vulnerability assessment function of the distribution network
Chapter 6: Low-Voltage Risk Assessment of the Distribution Network Based on Vulnerability Information Coordination Among Buses
Abstract
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 the distribution network
6.5. Example analysis
Chapter 7: Direction-Coordinating Based Ant Colony Algorithm and its Application in Distribution Network Reconfiguration
Abstract
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
Abstract
8.1. Introduction
8.2. Establishing 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

 

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Tags: Intelligent Coordinated, Control, Uncertain Systems, Power Distribution, Network Reliability, Meng Xiangping, Pian Zhaoyu