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03583aam a22005178i 4500 001 8F9DD2A2961911E8A89F3E0097128E48 003 SILO 005 20180802010035 008 180402s2018 flu b 001 0 eng 010 $a 2018014060 020 $a 113859816X 020 $a 9781138598164 035 $a (OCoLC)1031047300 040 $a DLC $b eng $e rda $c DLC $d OCLCO $d OCLCF $d YDX $d OCL $d SILO 042 $a pcc 050 00 $a TK1007 $b .K35 2018 082 00 $a 621.319/1 $2 23 100 1 $a Kaliannan, Jagatheesan, $e author. 245 10 $a Bio-inspired algorithms in PID controller optimization / $c Jagatheesan Kaliannan, Anand Baskaran, Nilanjan Dey, and Amira S. Ashour. 250 $a First edition. 263 $a 1806 264 1 $a Boca Raton, FL : $b CRC Press / Taylor & Francis Group, $c 2018. 300 $a xiii, 75 pages : $b illustrations ; $c 23 cm 490 0 $a Intelligent 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 $a Includes bibliographical references and index. 505 0 $a 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. 520 $a 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-- $c Provided by publisher. 650 0 $a Interconnected electric utility systems $x Automation. 650 0 $a Electric power systems $x Mathematics. $x Mathematics. 650 0 $a Mathematical optimization. 650 0 $a Nature-inspired algorithms. 650 0 $a Cogeneration of electric power and heat. 650 0 $a PID controllers. 650 7 $a Nature-inspired algorithms. $2 fast $0 (OCoLC)fst01986501 650 7 $a Cogeneration of electric power and heat. $2 fast $0 (OCoLC)fst00866437 650 7 $a Interconnected electric utility systems $x Automation. $2 fast $0 (OCoLC)fst00976039 650 7 $a Mathematical optimization. $2 fast $0 (OCoLC)fst01012099 650 7 $a PID controllers. $2 fast $0 (OCoLC)fst01049851 700 1 $a Baskaran, Anand, $e author. 700 1 $a Dey, Nilanjan, $d 1984- $e author. 700 1 $a Ashour, Amira, $d 1975- $e author. 941 $a 1 952 $l USUX851 $d 20180802014056.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=8F9DD2A2961911E8A89F3E0097128E48 994 $a 92 $b IWAInitiate Another SILO Locator Search