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Intelligent coordinated control of complex uncertain systems for power distribution 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 cur...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam :
Elsevier,
©2016.
©2016 |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Cover; Title Page; Copyright Page; Contents; Chapter 1
- Introduction; 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; Bibliography; Chapter 2
- Theoretical Basis for Intelligent Coordinated Control; 2.1
- Multiagent system; 2.1.1
- Basic Concepts of Agent and MAS.
- 2.1.2
- Organizational Structure of Multiagent System2.1.3
- Development Methods and Tools of Multiagent System; 2.2
- Reinforcement learning of multiagent system; 2.2.1
- Outline of Reinforcement Learning; 2.2.2
- Principle of Reinforcement Learning; 2.2.3
- Multiagent Reinforcement Learning; 2.3
- Ant colony algorithm; 2.3.1
- Ants Foraging Behavior and Optimization; 2.3.2
- Artificial Ants and Real Ants; 2.3.3
- Mathematical Models of Ant Colony Algorithm; 2.3.4
- The Execution Process of Ant Colony Algorithm; 2.3.5
- Basic Ant Colony Algorithm; 2.4
- BP neural network.
- 2.4.1
- Working Principle of BP Network2.4.2
- Characteristics of BP Network; 2.4.3
- BP Network of Increased Momentum Factor and Variable Learning Rate; 2.5
- Particle swarm optimization; 2.5.1
- General Introduction to Particle Swarm Optimization; 2.5.2
- Basic Particle Swarm Optimization; Bibliography; Chapter 3
- Power Grid Vulnerability Early-Warning Indicators; 3.1
- Introduction; 3.2
- Power grid vulnerability and influence factors; 3.2.1
- Power Grid Vulnerability; 3.2.2
- Influential Factors of Vulnerability; 3.3
- Early-warning indicators of power grid safety.
- 3.3.1
- Risk Assessment Indicators3.3.2
- Early-Warning Indicator of Voltage Stability; 3.3.3
- Safety Assessment Indicator of the Power Grid; 3.3.4
- Grid Safety Evaluation Index System; 3.3.5
- Frequency Vulnerability Indicator; 3.3.6
- Early-Warning Indicator of Natural Disaster; 3.4
- Advantages and disadvantages of each indicator and scope of application; Bibliography; Chapter 4
- Derivation of Distribution Network Vulnerability Indicators Based on Voltage Stability; 4.1
- Introduction; 4.2
- Overview of voltage stability; 4.2.1
- Definition of Voltage Stability.
- 4.2.2
- Classification of Voltage Stability4.2.3
- Introduction of Voltage Stability Terms; 4.2.4
- Influential Factors of Voltage Stability; 4.3
- Evaluation indicator L of voltage stability in the power grid; 4.3.1
- Overview of Voltage Stability Assessment Indicator L; 4.3.2
- Derivation of Voltage Indicator L in Multinode System; 4.4
- The model for indicator calculation; 4.4.1
- Combination Point of the PSO and the BP network; 4.4.2
- Combination Procedure of the PSO and BP Network and Its Parameter Setting; 4.5
- Example analysis; 4.5.1
- Five-Node Circuit Diagram and Known Parameters.
- 4.5.2
- BP Algorithm of Five-Node Samples and Improved BP Algorithm Simulation.