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9783540402022

Autonomous Systems and Intelligent Agents in Power System Control and Operation

by
  • ISBN13:

    9783540402022

  • ISBN10:

    3540402020

  • Format: Hardcover
  • Copyright: 2003-12-01
  • Publisher: Springer Verlag
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Summary

Autonomous systems are one of the most important trends for the next generation of control systems. This book is the first to transfer autonomous systems concepts and intelligent agents theory into the control and operation environment of power systems. The focus of this book is to design a future control system architecture for electrical power systems, which copes with the changed requirements concerning complexity and flexibility and includes several applications for power systems. This book draws the whole circle from the theoretical and IT-concept of autonomous systems for power system control over the required knowledge-based methods and their capabilities to concrete applications within this field. TOC:Autonomous Control System Architecture.- Implementation of Autonomous Systems.- Computational Intelligence and Agent Technologies for Autonomous Systems.- Multi-Agent Negotiation Models for Power System Applications.- A Multi-Agent Approach to Power System Disturbance Diagnosis.- A Multi-agent Approach to Power System Restoration.- Agent Technology Applied to the Protection of Power Systems.- Dynamic Output Compensation between Selected Channels in Power Systems.- Development of a Coordinating Autonomous FACTS Control System.- Multi-Agent Coordination for Secondary Voltage Control.- Agent Based Power System Visualization.- New Applications of Multi-Agent System Technologies to Power.- Operation of Quality Control Center Based on Multi-Agent.

Table of Contents

1 Autonomous Control System Architecture 1(16)
1.1 Fundamental Aspects of Autonomous Systems
1(2)
1.2 Functional Architecture of Autonomous Components
3(7)
1.2.1 Execution Layer
5(1)
1.2.2 Coordination Layer
6(2)
1.2.3 Management and Organization Layer
8(1)
1.2.4 Information Base
9(1)
1.3 Structures of Autonomous Systems
10(2)
1.4 Autonomous Systems in Electrical Power Systems
12(3)
1.4.1 Operational Architecture
12(2)
1.4.2 Characteristics of Autonomous Systems
14(1)
References
15(2)
2 Implementation of Autonomous Systems 17(18)
2.1 Requirements for the Implementation Architecture
17(2)
2.2 Communication Technology
19(5)
2.2.1 Topology
20(1)
2.2.2 Protocols
21(3)
2.3 Standard Data Models
24(4)
2.3.1 Substation
25(1)
2.3.2 Network Control Center
25(1)
2.3.3 Electrical Utility Enterprise
26(1)
2.3.4 Summary
27(1)
2.4 Information-Base of Autonomous Systems
28(1)
2.5 IT Security Considerations
29(3)
2.6 Conclusions
32(1)
References
33(2)
3 Computational Intelligence and Agent Technologies for Autonomous Systems 35(14)
3.1 Intelligence in Autonomous Systems and Agents
35(1)
3.2 Kinds of Knowledge and Cognitive Modeling
36(1)
3.3 Methods of Computational Intelligence
37(6)
3.3.1 Basic Methods
37(4)
3.3.2 Extended and Alternative Methods
41(2)
3.4 Agent Technologies
43(3)
3.4.1 Communication
43(1)
3.4.2 Coordination
44(2)
References
46(3)
4 Multi-Agent Negotiation Models for Power System Applications 49(26)
4.1 Introduction
49(3)
4.2 Negotiation Theory and Agents: A Review
52(6)
4.2.1 Basics of Negotiation Theory
52(4)
4.2.2 Computer-Based Negotiation Systems
56(2)
4.3 A Multi-Agent Negotiation System
58(9)
4.3.1 MAS Implementation
59(1)
4.3.2 Negotiation Protocol
60(4)
4.3.3 Embedding Agents with Social Rationality
64(3)
4.4 Illustrations
67(5)
4.4.1 Security-Related Decision-Making
67(1)
4.4.2 Maintenance Scheduling
68(4)
4.5 Conclusions
72(1)
References
72(3)
5 A Multi-Agent Approach to Power System Disturbance Diagnosis 75(26)
5.1 Introduction
75(1)
5.2 Protection Engineering Decision Support
76(2)
5.2.1 The Post-fault Analysis Process of Protection Engineers
76(2)
5.2.2 Technical Requirements for the Decision Support Functions
78(1)
5.3 Designing the PEDA Multi-Agent System
78(10)
5.3.1 Requirements Capture and Knowledge Capture
79(1)
5.3.2 Task Decomposition
80(2)
5.3.3 Ontology Design
82(2)
5.3.4 Agent Modeling
84(2)
5.3.5 Agent Interactions Modeling
86(1)
5.3.6 Agent Behavior
87(1)
5.4 Core Functionality of the Agents within PEDA
88(6)
5.4.1 Incident and Event Identification (IEI) Agent
88(2)
5.4.2 Fault Record Retrieval (FRR)
90(2)
5.4.3 Fault Record Interpretation (FRI)
92(1)
5.4.4 Protection Validation and Diagnosis (PVD)
93(1)
5.5 Case Study of PEDA Operation
94(5)
5.5.1 PEDA Initialisation
96(1)
5.5.2 Disturbance Diagnosis Process
97(2)
5.6 Conclusions
99(1)
References
99(2)
6 A Multi-agent Approach to Power System Restoration 101(14)
6.1 Power System Restoration Methods
101(2)
6.2 Power System Restoration Model
103(1)
6.3 Multi-agent Power System Restoration Architecture
103(5)
6.3.1 Bus Agents
104(1)
6.3.2 Facilitator Agent
105(1)
6.3.3 Negotiation Process between Bus Agents
105(3)
6.4 Simulation Results
108(4)
6.4.1 Simulation Conditions
108(1)
6.4.2 Simulation Results
108(4)
6.5 Conclusions
112(1)
References
113(2)
7 Agent Technology Applied to the Protection of Power Systems 115(40)
7.1 Introduction
115(1)
7.2 Agent Technology in Power System Protection
116(2)
7.2.1 Definition
116(1)
7.2.2 Agent Architecture
117(1)
7.3 The Structure of a Utility Communication Network
118(1)
7.4 Developments of EPOCHS
119(3)
7.4.1 Overview
119(1)
7.4.2 Related Work
120(1)
7.4.3 EPOCHS Simulation Description
121(1)
7.5 Simulation Architecture
122(7)
7.5.1 The Run-Time Infrastructure
123(1)
7.5.2 Electrical Component Subsystem
124(1)
7.5.3 The Network Communication Component
124(2)
7.5.4 The AgentHQ Subsystem
126(2)
7.5.5 Implementation and Optimization
128(1)
7.5.6 Simulation Scripts
128(1)
7.5.7 Summary
129(1)
7.6 Backup Protection Systems for Transmission Networks
129(7)
7.6.1 Overview
129(1)
7.6.2 The Architecture of the Agent Relay
130(1)
7.6.3 The Strategy Employed by the Agent-Based Backup Protection System
131(2)
7.6.4 Simulation results
133(3)
7.6.5 Summary
136(1)
7.7 An Agent Based Current Differential Relay for Transmission Lines
136(6)
7.7.1 Overview
136(1)
7.7.2 Related Work
137(1)
7.7.3 The Differential Protection Agent Architecture
137(2)
7.7.4 Simulation Results Using EPOCHS
139(2)
7.7.5 Summary
141(1)
7.8 Special Protection Systems
142(10)
7.8.1 Overview
142(1)
7.8.2 Algorithms for Frequency Stability Control
143(3)
7.8.3 The System Studied and Agent-Based SPS Scheme
146(2)
7.8.4 Simulation Results
148(1)
7.8.5 Summary
149(3)
7.9 Conclusions
152(1)
References
153(2)
8 Dynamic Output Compensation between Selected Channels in Power Systems 155(24)
8.1 Introduction
155(2)
8.2 Framework
157(1)
8.3 SPS Agents
158(4)
8.3.1 Principles
158(4)
8.3.2 Example
162(1)
8.4 Damping Agents
162(12)
8.4.1 Linear System Model as a Connection of Agents
165(2)
8.4.2 Model Building
167(1)
8.4.3 Controller Building
167(3)
8.4.4 Example
170(4)
8.5 Coordination Agents
174(3)
8.5 Conclusions
177(1)
References
178(1)
9 Development of a Coordinating Autonomous FACTS Control System 179(26)
9.1 Introduction
179(2)
9.2 Flexible AC Transmission Systems - FACTS
181(3)
9.2.1 Features
181(1)
9.2.2 Structure
182(1)
9.2.3 Modeling and Control
182(2)
9.3 Need of Coordination
184(3)
9.4 Theory of Autonomous Control Systems
187(2)
9.5 Synthesis of the Autonomous Control System for FACTS
189(8)
9.5.1 Bay Control Level
189(3)
9.5.2 Substation and Network Control Level
192(3)
9.5.3 Preventive Coordination
195(2)
9.6 Verification
197(4)
9.6.1 Failure of a Transmission Line
198(2)
9.6.2 Increase of the Load
200(1)
9.7 Conclusions
201(1)
References
202(3)
10 Multi-Agent Coordination for Secondary Voltage Control 205(24)
10.1 Introduction
205(2)
10.2 Multi-Agent Voltage Management - Feasibility Study
207(9)
10.2.1 Necessity of the Secondary Voltage Control in Power System Contingencies
207(4)
10.2.2 Multi-Agent Collaboration to Eliminate Voltage Violations
211(5)
10.3 Multi-Agent Voltage Management - Collaboration Protocol
216(10)
10.3.1 Collaboration Protocol
216(5)
10.3.2. Test Results by Simulation
221(5)
References
226(3)
11 Agent Based Power System Visualization 229(18)
11.1 Actual Problems in Power System Visualization
229(1)
11.2 Decision Supporting Human-Machine Interface
230(6)
11.2.1 Causality as the Natural Principle for Visualization
231(1)
11.2.2 Hierarchically Structured Information Provision
232(2)
11.2.3 Global System View and Problem Specific Detail View
234(2)
11.3 Implementation as Intelligent Agents
236(2)
11.4 Verification
238(7)
11.4.1 User-Machine Interaction
239(3)
11.4.2 Implementation as Multi-Agent System
242(3)
11.5 Conclusions
245(1)
References
245(2)
12 New Applications of Multi-Agent System Technologies to Power Systems 247(32)
12.1 Multi-Agent System Technologies
247(2)
12.2 Strategic Power Infrastructure Defense System
249(3)
12.2.1 SPID System Framework
249(1)
12.2.2 Definitions and Roles of SPID System Agents
250(2)
12.3 Controlled Islanding Agent of SPID System
252(7)
12.3.1 Controlled Islanding of Power Systems
252(1)
12.3.2 Context of SPID System Agents Interactions
253(1)
12.3.3 Controlled Islanding Agent
254(2)
12.3.4 Controlled Islanding Criteria
256(1)
12.3.5 A Controlled Islanding Algorithm
256(3)
12.4 An Application to MicroGrid Control and Operation
259(16)
12.4.1 What is MicroGrid
259(1)
12.4.2 MicroGrid Design
260(2)
12.4.3 MicroGrid Agent (MGA)
262(3)
12.4.4 MicroGrid Control
265(4)
12.4.5 MicroGrid Operation Issue
269(1)
12.4.6 An Example for Oscillation Restriction
270(5)
12.5 Conclusions
275(1)
References
276(3)
13 Operation of Quality Control Center Based on Multi-Agent Technology 279(24)
13.1 Introduction
279(1)
13.2 Multi-Agent and FRIENDS
280(1)
13.3 Agent Models
281(2)
13.3.1 Model of Quality Control Center
281(1)
13.3.2 Model of Distribution Substation
282(1)
13.3.3 Information Measured
282(1)
13.3.4 Communication between Agents
283(1)
13.4 Emergency Operation of Distribution Systems
283(7)
13.4.1 Operational Policies
283(1)
13.4.2 Proposed Algorithm
284(3)
13.4.3 Simulation Results
287(3)
13.5 Voltage Regulation of Distribution Systems in FRIENDS
290(10)
13.5.1 Autonomous Voltage and Reactive Power Control in FRIENDS
291(4)
13.5.2 Reconfiguration of QCC Network Topology in FRIENDS
295(3)
13.5.3 Evaluation of the Performance of the Voltage Regulation
298(2)
13.6 Conclusion
300(1)
References
301(2)
Index 303

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