Autonomous Systems and Intelligent Agents in Power System Control and Operation

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Springer Science & Business Media, Jul 15, 2003 - Juvenile Nonfiction - 305 pages
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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.

 

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Contents

Autonomous Control System Architecture
1
12 Functional Architecture of Autonomous Components
3
121 Execution Layer
5
122 Coordination Layer
6
123 Management and Organization Layer
8
124 Information Base
9
13 Structures of Autonomous Systems
10
14 Autonomous Systems in Electrical Power Systems
12
765 Summary
136
772 Related Work
137
774 Simulation Results Using EPOCHS
139
775 Summary
141
78 Special Protection Systems
142
782 Algorithms for Frequency Stability Control
143
783 The System Studied and AgentBased SPS Scheme
146
784 Simulation Results
148

142 Characteristics of Autonomous Systems
14
References
15
Implementation of Autonomous Systems
17
22 Communication Technology
19
221 Topology
20
222 Protocols
21
23 Standard Data Models
24
231 Substation
25
233 Electrical Utility Enterprise
26
234 Summary
27
24 InformationBase of Autonomous Systems
28
25 IT Security Considerations
29
26 Conclusions
32
References
33
Computational Intelligence and Agent Technologies for Autonomous Systems
35
32 Kinds of Knowledge and Cognitive Modeling
36
33 Methods of Computational Intelligence
37
332 Extended and Alternative Methods
41
34 Agent Technologies
43
342 Coordination
44
References
46
4 MultiAgent Negotiation Models for Power System Applications
49
A Review
52
422 ComputerBased Negotiation Systems
56
43 A MultiAgent Negotiation System
58
431 MAS Implementation
59
432 Negotiation Protocol
60
433 Embedding Agents with Social Rationality
64
44 Illustrations
67
442 Maintenance Scheduling
68
45 Conclusions
72
A MultiAgent Approach to Power System Disturbance Diagnosis
75
52 Protection Engineering Decision Support
76
522 Technical Requirements for the Decision Support Functions
78
531 Requirements Capture and Knowledge Capture
79
532 Task Decomposition
80
533 Ontology Design
82
534 Agent Modeling
84
535 Agent Interactions Modeling
86
536 Agent Behavior
87
54 Core Functionality of the Agents within PEDA
88
Collaboration Functionality
90
Collaboration Functionality
91
543 Fault Record Interpretation FRI
92
544 Protection Validation and Diagnosis PVD
93
Collaboration Functionality
94
551 PEDA Initialisation
96
552 Disturbance Diagnosis Process
97
56 Conclusions
99
A Multiagent Approach to Power System Restoration
101
62 Power System Restoration Model
103
631 Bus Agents
104
632 Facilitator Agent
105
64 Simulation Results
108
65 Conclusions
112
References
113
Agent Technology Applied to the Protection of Power Systems
115
72 Agent Technology in Power System Protection
116
722 Agent Architecture
117
73 The Structure of a Utility Communication Network
118
74 Developments of EPOCHS
119
742 Related Work
120
743 EPOCHS Simulation Description PSCADEMTDC
121
75 Simulation Architecture
122
751 The RunTime Infrastructure
123
752 Electrical Component Subsystem
124
754 The AgentHQ Subsystem
126
755 Implementation and Optimization
128
757 Summary
129
762 The Architecture of the Agent Relay
130
763 The Strategy Employed by the AgentBased Backup Protection System
131
764 Simulation results
133
785 Summary
149
79 Conclusions
152
References
153
Dynamic Output Compensation between Selected Channels in Power Systems
155
82 Framework
157
83 SPS Agents
158
832 Example
162
841 Linear System Model as a Connection of Agents
165
842 Model Building
167
844 Example
170
85 Coordination Agents
174
85 Conclusions
177
References
178
Development of a Coordinating Autonomous FACTS Control System
179
92 Flexible AC Transmission Systems FACTS
181
922 Structure
182
93 Need of Coordination
184
94 Theory of Autonomous Control Systems
187
95 Synthesis of the Autonomous Control System for FACTS
189
952 Substation and Network Control Level
192
953 Preventive Coordination
195
96 Verification
197
961 Failure of a Transmission Line
198
962 Increase of the Load
200
97 Conclusions
201
References
202
MultiAgent Coordination for Secondary Voltage Control
205
102 MultiAgent Voltage Management Feasibility Study
207
1022 MultiAgent Collaboration to Eliminate Voltage Violations
211
103 MultiAgent Voltage Management Collaboration Protocol
216
1032 Test Results by Simulation
221
References
226
Agent Based Power System Visualization
229
112 Decision Supporting HumanMachine Interface
230
1121 Causality as the Natural Principle for Visualization
231
1122 Hierarchically Structured Information Provision
232
1123 Global System View and Problem Specific Detail View
234
113 Implementation as Intelligent Agents
236
114 Verification
238
1141 UserMachine Interaction
239
1142 Implementation as MultiAgent System
242
115 Conclusions
245
New Applications of MultiAgont System Technologies to Power Systems
247
122 Strategic Power Infrastructure Defense System
249
1222 Definitions and Roles of SPID System Agents
250
123 Controlled Islanding Agent of SPID System
252
1232 Context of SPID System Agents Interactions
253
1233 Controlled Islanding Agent
254
1234 Controlled Islanding Criteria
256
124 An Application to MicroGrid Control and Operation
259
1242 MicroGrid Design
260
1243 MicroGrid Agent MGA
262
1244 MicroGrid Control
265
1245 MicroGrid Operation Issue
269
1246 An Example for Oscillation Restriction
270
125 Conclusions
275
References
276
Operation of Quality Control Center Based on MultiAgent Technology
279
132 MultiAgent and FRIENDS
280
133 Agent Models
281
1332 Model of Distribution Substation
282
1334 Communication between Agents
283
1342 Proposed Algorithm
284
1343 Simulation Results
287
135 Voltage Regulation of Distribution Systems in FRIENDS
290
1351 Autonomous Voltage and Reactive Power Control in FRIENDS
291
1352 Reconfiguration of QCC Network Topology in FRIENDS
295
1353 Evaluation of the Performance of the Voltage Regulation
298
136 Conclusion
300
References
301
Index
303
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