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

Table of contents

1. Cover
2. Title page
3. Table of Contents
4. Copyright
5. Chapter 1: Introduction
   1. Abstract
   2. 1.1. Background and significance of intelligent coordinated control of complex uncertainty system
   3. 1.2. Background of distribution network security control
   4. 1.3. Relationship between the safety and stability of distribution network and vulnerability of the system
   5. 1.4. Research status of power grid security control
   6. 1.5. Main content of the book
6. Chapter 2: Theoretical Basis for Intelligent Coordinated Control
   1. Abstract
   2. 2.1. Multiagent system
   3. 2.2. Reinforcement learning of multiagent system
   4. 2.3. Ant colony algorithm
   5. 2.4. BP neural network
   6. 2.5. Particle swarm optimization
7. Chapter 3: Power Grid Vulnerability Early-Warning Indicators
   1. Abstract
   2. 3.1. Introduction
   3. 3.2. Power grid vulnerability and influence factors
   4. 3.3. Early-warning indicators of power grid safety
   5. 3.4. Advantages and disadvantages of each indicator and scope of application
8. Chapter 4: Derivation of Distribution Network Vulnerability Indicators Based on Voltage Stability
   1. Abstract
   2. 4.1. Introduction
   3. 4.2. Overview of voltage stability
   4. 4.3. Evaluation indicator L of voltage stability in the power grid
   5. 4.4. The model for indicator calculation
   6. 4.5. Example analysis
9. Chapter 5: Vulnerability Assessment of the Distribution Network Based on Quantum Multiagent
   1. Abstract
   2. 5.1. Introduction
   3. 5.2. Reinforcement learning of the multiagent system based on quantum theory
   4. 5.3. The design of distribution network vulnerability analysis system based on Q-MAS
   5. 5.4. The realization of primary vulnerability assessment function
   6. 5.5. The realization of comprehensive vulnerability assessment function of the distribution network
10. Chapter 6: Low-Voltage Risk Assessment of the Distribution Network Based on Vulnerability Information Coordination Among Buses
    1. Abstract
    2. 6.1. Introduction
    3. 6.2. Low-voltage risk analysis of isolated buses
    4. 6.3. Quantitative calculation of interrelationship of vulnerabilities between buses
    5. 6.4. Comprehensive indicator of low-voltage vulnerability in the distribution network
    6. 6.5. Example analysis
11. Chapter 7: Direction-Coordinating Based Ant Colony Algorithm and its Application in Distribution Network Reconfiguration
    1. Abstract
    2. 7.1. Introduction
    3. 7.2. Improved ant colony algorithm based on directional pheromone
    4. 7.3. Application of direction-coordinating ant colony algorithm in distribution network reconfiguration
12. Chapter 8: Optimization and Solution of Unit Maintenance Scheduling Models
    1. Abstract
    2. 8.1. Introduction
    3. 8.2. Establishing the optimization model of unit maintenance plan
    4. 8.3. The solution of unit maintenance plan based on improved ant colony algorithm
    5. 8.4. Example analysis
13. Index