소장자료
LDR | 03084cam a2200000 a | ||
001 | 000018643006▲ | ||
005 | 20180711163552▲ | ||
008 | 180402s2018 flua b 001 0 eng c▲ | ||
010 | ▼a2018014060▲ | ||
020 | ▼a9781138598164 (hbk. : acid-free paper)▲ | ||
020 | ▼z9780429486579 (ebk.)▲ | ||
035 | ▼a(KERIS)REF000018643006▲ | ||
040 | ▼aDLC▼beng▼cDLC▼dDLC▼d221016▲ | ||
042 | ▼apcc▲ | ||
082 | 0 | 0 | ▼a621.319/1▼223▲ |
090 | ▼a621.3191▼bB615k▲ | ||
245 | 0 | 0 | ▼aBio-inspired algorithms in PID controller optimization /▼cJagatheesan Kaliannan...[et al.]▲ |
250 | ▼a1st ed.▲ | ||
260 | ▼aBoca Raton, FL :▼bCRC Press,▼c2018.▲ | ||
300 | ▼axiii, 75 p. :▼bill. ;▼c23 cm.▲ | ||
490 | 0 | ▼aIntelligent signal processing and data analysis▲ | |
500 | ▼a"A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc."▲ | ||
504 | ▼aIncludes bibliographical references and index.▲ | ||
505 | 0 | ▼aLoad frequency control and automatic generation control -- Bio-inspired optimization algorithms -- Literature survey -- Load frequency control of single area thermal power system with biogeography based optimization technique -- Investigated thermal power system -- Controller design and objective function -- Biogeography based optimization technique -- Results and analysis -- Conclusion -- Automatic generation control of multi-area interconnected thermal power system with SMES unit and ACO- PID controller -- Thermal power system under study -- Superconducting magnetic energy storage (SMES) unit -- PID controller design -- Ant colony optimization -- Simulation results and discussions -- Conclusion -- FPA optimized PID controller for performance improvement of multi-area interconnected thermal power system with non-linearities -- Investigated multi-area interconnected power system -- Controller design and objective function -- Flower pollination algorithm (FPA) -- Simulation result and analysis -- Conclusion -- Challenges and future perspectives.▲ | |
520 | ▼aThis book discusses in-depth role of optimization to optimize the controller parameters. Many comparative studies to evaluate the performance of different optimization techniques are included with different scenarios of the load frequency controller for single area as well as multi-area thermal power generating unit considering different algorithms -- Provided by publisher.▲ | ||
650 | 0 | ▼aInterconnected electric utility systems▼xAutomation.▲ | |
650 | 0 | ▼aElectric power systems▼xLoad dispatching▼xMathematics.▲ | |
650 | 0 | ▼aMathematical optimization.▲ | |
650 | 0 | ▼aNature-inspired algorithms.▲ | |
650 | 0 | ▼aCogeneration of electric power and heat.▲ | |
650 | 0 | ▼aPID controllers.▲ | |
700 | 1 | ▼aKaliannan, Jagatheesan.▲ |

Bio-inspired algorithms in PID controller optimization
자료유형
국외단행본
서명/책임사항
Bio-inspired algorithms in PID controller optimization / Jagatheesan Kaliannan...[et al.]
판사항
1st ed.
발행사항
Boca Raton, FL : CRC Press , 2018.
형태사항
xiii, 75 p. : ill. ; 23 cm.
일반주기
"A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc."
서지주기
Includes bibliographical references and index.
내용주기
Load frequency control and automatic generation control -- Bio-inspired optimization algorithms -- Literature survey -- Load frequency control of single area thermal power system with biogeography based optimization technique -- Investigated thermal power system -- Controller design and objective function -- Biogeography based optimization technique -- Results and analysis -- Conclusion -- Automatic generation control of multi-area interconnected thermal power system with SMES unit and ACO- PID controller -- Thermal power system under study -- Superconducting magnetic energy storage (SMES) unit -- PID controller design -- Ant colony optimization -- Simulation results and discussions -- Conclusion -- FPA optimized PID controller for performance improvement of multi-area interconnected thermal power system with non-linearities -- Investigated multi-area interconnected power system -- Controller design and objective function -- Flower pollination algorithm (FPA) -- Simulation result and analysis -- Conclusion -- Challenges and future perspectives.
요약주기
This book discusses in-depth role of optimization to optimize the controller parameters. Many comparative studies to evaluate the performance of different optimization techniques are included with different scenarios of the load frequency controller for single area as well as multi-area thermal power generating unit considering different algorithms -- Provided by publisher.
주제
ISBN
9781138598164 (hbk. : acid-free paper)
청구기호
621.3191 B615k
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