MARC ayrıntıları
| 000 -LEADER |
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| fixed length control field |
07231nam a2200301 i 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
120620s2011 flu b a001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781439849538 |
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| International Standard Book Number |
1439849536 |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
BAUN |
| Language of cataloging |
eng |
| Transcribing agency |
BAUN |
| Description conventions |
rda |
| 049 ## - LOCAL HOLDINGS (OCLC) |
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| Holding library |
BAUN_MERKEZ |
| 050 04 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
TK1005 |
| Item number |
.B48 2011 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Bevrani, Hassan |
| 245 10 - TITLE STATEMENT |
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| Title |
Intelligent automatic generation control / |
| Statement of responsibility, etc |
Hassan Bevrani, Takashi Hiyama |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Place of production, publication, distribution, manufacture |
Boca Raton : |
| Name of producer, publisher, distributor, manufacturer |
CRC Press, |
| Date of production, publication, distribution, manufacture, or copyright notice |
[2011] |
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| Date of production, publication, distribution, manufacture, or copyright notice |
©2011 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xvii, 290 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm |
| 336 ## - CONTENT TYPE |
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| Content Type Term |
text |
| Content Type Code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Media Type Term |
unmediated |
| Media Type Code |
unmediated |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Carrier Type Term |
volume |
| Carrier Type Code |
volume |
| Source |
rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc |
Includes bibliographical references and index |
| 505 00 - FORMATTED CONTENTS NOTE |
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| Title |
Table Of Contents: |
| -- |
Preface |
| -- |
Acknowledgments |
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1 Intelligent Power System Operation and Control: Japan Case Study |
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1.1 Application of Intelligent Methods to Power Systems |
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1.2 Application to Power System Planning |
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1.2.1 Expansion Planning of Distribution Systems |
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1.2.2 Load Forecasting |
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1.2.3 Unit Commitment |
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1.2.4 Maintenance Scheduling |
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1.3 Application to Power System Control and Restoration |
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1.3.1 Fault Diagnosis |
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1.3.2 Restoration |
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1.3.3 Stabilization Control |
| -- |
1.4 Future Implementations |
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1.5 Summary |
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References |
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2 Automatic Generation Control (AGC): Fundamentals and Concepts |
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2.1 AGC in a Modern Power System |
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2.2 Power System Frequency Control |
| -- |
2.2.1 Primary Control |
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2.2.2 Supplementary Control |
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2.2.3 Emergency Control |
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2.3 Frequency Response Model and AGC Characteristics |
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2.3.1 Droop Characteristic |
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2.3.2 Generation-Load Model |
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2.3.3 Area Interface |
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2.3.4 Spinning Reserve |
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2.3.5 Participation Factor |
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2.3.6 Generation Rate Constraint |
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2.3.7 Speed Governor Dead-Band |
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2.3.8 Time Delays |
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2.4 A Three-Control Area Power System Example |
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2.5 Summary |
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References |
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3 Intelligent AGC: Past Achievements and New Perspectives |
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3.1 Fuzzy Logic AGC |
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3.1.1 Fuzzy Logic Controller |
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3.1.2 Fuzzy-Based PI (PID) Controller |
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3.2 Neuro-Fuzzy and Neural-Networks-Based AGC |
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3.3 Genetic-Algorithm-Based AGC |
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3.4 Multiagent-Based AGC |
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3.5 Combined and Other Intelligent Techniques in AGC |
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3.6 AGC in a Deregulated Environment |
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3.7 AGC and Renewable Energy Options |
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3.7.1 Present Status and Future Prediction |
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3.7.2 New Technical Challenges |
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3.7.3 Recent Achievements |
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3.8 AGC and Microgrids |
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3.9 Scope for Future Work |
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3.9.1 Improvement of Modeling and Analysis Tools |
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3.9.2 Develop Effective Intelligent Control Schemes for Contribution of DGs/RESs in the AGC Issue |
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3.9.3 Coordination between Regulation Powers of DGs/RESs and Conventional Generators |
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3.9.4 Improvement of Computing Techniques and Measurement Technologies |
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3.9.5 Use of Advanced Communication and Information Technology |
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3.9.6 Update/Define New Grid Codes |
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3.9.7 Revising of Existing Standards |
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3.9.8 Updating Deregulation Policies |
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3.10 Summary |
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References |
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4 AGC in Restructured Power Systems |
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4.1 Control Area in New Environment |
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4.2 AGC Configurations and Frameworks |
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4.2.1 AGC Configurations |
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4.2.2 AGC Frameworks |
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4.3 AGC Markets |
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4.4 AGC Response and an Updated Model |
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4.4.1 AGC System and Market Operator |
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4.4.2 AGC Model and Bilateral Contracts |
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4.4.3 Need for Intelligent AGC Markets |
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4.5 Summary |
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References |
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5 Neural-Network-Based AGC Design |
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5.1 An Overview |
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5.2 ANN-Based Control Systems |
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5.2.1 Fundamental Element of ANNs |
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5.2.2 Learning and Adaptation |
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5.2.3 ANNs in Control Systems |
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5.3 Flexible Neural Network |
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5.3.1 Flexible Neurons |
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5.3.2 Learning Algorithms in an FNN |
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5.4 Bilateral AGC Scheme and Modeling |
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5.4.1 Bilateral AGC Scheme |
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5.4.2 Dynamical Modeling |
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5.5 FNN-Based AGC System |
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5.6 Application Examples |
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5.6.1 Single-Control Area |
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5.6.2 Three-Control Area |
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5.7 Summary |
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References |
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6 AGC Systems Concerning Renewable Energy Sources |
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6.1 An Updated AGC Frequency Response Model |
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6.2 Frequency Response Analysis |
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6.3 Simulation Study |
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6.3.1 Nine-Bus Test System |
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6.3.2 Thirty-Nine-Bus Test System |
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6.4 Emergency Frequency Control and RESs |
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6.5 Key Issues and New Perspectives |
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6.5.1 Need for Revision of Performance Standards |
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6.5.2 Further Research Needs |
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6.6 Summary |
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References |
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7 AGC Design Using Multiagent Systems |
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7.1 Multiagent System (MAS): An Introduction |
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7.2 Multiagent Reinforcement-Learning-Based AGC |
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7.2.1 Multiagent Reinforcement Learning |
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7.2.2 Area Control Agent |
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7.2.3 RL Algorithm |
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7.2.4 Application to a Thirty-Nine-Bus Test System |
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7.3 Using GA to Determine Actions and States |
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7.3.1 Finding Individual's Fitness and Variation Ranges |
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7.3.2 Application to a Three-Control Area Power System |
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7.4 An Agent for β Estimation |
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7.5 Summary |
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References |
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8 Bayesian-Network-Based AGC Approach |
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8.1 Bayesian Networks: An Overview |
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8.1.1 BNs at a Glance |
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8.1.2 Graphical Models and Representation |
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8.1.3 A Graphical Model Example |
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8.1.4 Inference |
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8.1.5 Learning |
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8.2 AGC with Wind Farms |
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8.2.1 Frequency Control and Wind Turbines |
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8.2.2 Generalized ACE Signal |
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8.3 Proposed Intelligent Control Scheme |
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8.3.1 Control Framework |
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8.3.2 BN Structure |
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8.3.3 Estimation of Amount of Load Change |
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8.4 Implementation Methodology |
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8.4.1 BN Construction |
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8.4.2 Parameter Learning |
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8.5 Application Results |
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8.5.1 Thirty-Nine-Bus Test System |
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8.5.2 A Real-Time Laboratory Experiment |
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8.6 Summary |
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References |
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9 Fuzzy Logic and AGC Systems |
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9.1 Study Systems |
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7.1.1 Two Control Areas with Subareas |
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9.1.2 Thirty-Nine-Bus Power System |
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9.2 Polar-Information-Based Fuzzy Logic AGC |
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9.2.1 Polar-Information-Based Fuzzy Logic Control |
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9.2.2 Simulation Results |
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9.2.2.1 Trunk Line Power Control |
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9.2.2.2 Control of Regulation Margin |
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9.3 PSO-Based Fuzzy Logic AGC |
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9.3.1 Particle Swarm Optimization |
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9.3.2 AGC Design Methodology |
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9.3.3 PSO Algorithm for Setting of Membership Functions |
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9.3.4 Application Results |
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9.4 Summary |
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References |
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10 Frequency Regulation Using Energy Capacitor System |
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10.1 Fundamentals of the Proposed Control Scheme |
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10.1.1 Restriction of Control Action (Type I) |
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10.1.2 Restriction of Control Action (Type II) |
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10.1.3 Prevention of Excessive Control Action (Type III) |
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10.2 Study System |
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10.3 Simulation Results |
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10.4 Evaluation of Frequency Regulation Performance |
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10.5 Summary |
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References |
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11 Application of Genetic Algorithm in AGC Synthesis |
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11.1 Genetic Algorithm: An Overview |
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11.1.1 GA Mechanism |
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11.1.2 GA in Control Systems |
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11.2 Optimal Tuning of Conventional Controllers |
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11.3 Multiobjective GA |
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11.3.1 Multiobjective Optimization |
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11.3.2 Application to AGC Design |
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11.4 GA for Tracking Robust Performance Index |
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11.4.1 Mixed H2/H∞ |
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11.4.2 Mixed H2/H∞ SOF Design |
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11.4.3 AGC Synthesis Using GA-Based Robust Performance Tracking |
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11.5 GA in Learning Process |
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11.5.1 GA for Finding Training Data in a BN-Based AGC Design |
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11.5.2 Application Example |
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11.6 Summary |
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References |
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12 Frequency Regulation in Isolated Systems with Dispersed Power Sources |
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12.1 Configuration of Multiagent-Based AGC System |
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12.1.1 Conventional AGC on Diesel Unit |
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12.1.2 Coordinated AGC on the ECS and Diesel Unit |
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12.2 Configuration of Laboratory System |
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12.3 Experimental Results |
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12.4 Summary |
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References |
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Index |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Electric power systems |
| General subdivision |
Automation |
|
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| Topical term or geographic name as entry element |
Intelligent control systems |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Hiyama, Takashi |
| 900 ## - EQUIVALENCE OR CROSS-REFERENCE-PERSONAL NAME [LOCAL, CANADA] |
|---|
| Personal Name |
33119 |
|
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| Numeration |
satın |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Kitap |
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