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《Electric Power Automation Equipment》 2010-04
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Hydraulic turbine intelligent governing system mathematical model and its parameters identification

SHI Biao1,LI Yuxia1,HE Changsheng1,2,YU Xinhua3,YAN Wang1,MENG Xin1,LI Peng1(1.College of Water Resources and Hydro-electric Engineering,Xi’an University of Technology,Xi’an 710048,China;2.Yunnan Electric Power Grid Corporation,Kunming 650217,China;3.Qingdao Science and Technology University,Qingdao 261000,China)  
In order to establish the mathematical model of hydraulic turbine governing system for grid stability calculation and model parameter identification,a novel and suitable technique based on adaptive artificial fish school algorithm-neural network is proposed.The mathematical model is established to adapt to the practical regulation as well as the microcomputer-based control.Its transfer functions are analyzed and the adaptive artificial fish school algorithm is proposed to avoid the shortage of the artificial fish school algorithm and neural network algorithm.The adaptive artificial fish school algorithm-BP neural network is expounded and the design and implementation of parameter identification algorithm are described.The model parameters are identified with Matlab and the proposed algorithm.The primary frequency regulation and secondary regulation are simulated and tested,and the comparison of results shows that,the simulative values are very close to the measurements;the developed controller based on the adaptive artificial fish school algorithm-BP neural network reaches its control objective of optimizing the control output of the PID regulator;and the established model truly reflects the performance of the governing system under the operating mode of unit connected to grid,which indicates its principle is correct and suitable for optimal control.
【Fund】: 国家火炬计划基金(07C26213711606);; 陕西省自然科学基础研究计划(SJ08E220);; 山东省软科学基金(2009RKB190)~~
【CateGory Index】: TV734.4
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【Citations】
Chinese Journal Full-text Database 4 Hits
1 XIE Huiping1,ZHANG Jiangbin1,LI Hua2(1.Xi'an University of Technology,Xi'an 710048,China;2.Shaanxi Electric Power Research Institute,Xi'an 710054,China);Discussion on Primary Frequency Regulation Test of Hydroelectric Generating Sets[J];Hydropower Automation and Dam Monitoring;2008-04
2 HE Changsheng1,LI Yuxia1,LI Hua2,WAN Tianhu2,YAN Wang1(1.Xi'an University of Technology,Xi'an 710048,China; 2. Shaanxi Electric Power Research Institute,Xi'an 710054,China);Data Processing of Test Code of Hydraulic Turbines Control Systems[J];Hydropower Automation and Dam Monitoring;2009-03
3 LI Hua 1 ,SHI Ke-qin 2 ,FAN Yue 2 ,NIU Shuan-bao 2 (1.Shaanxi Electric Power Research Institute ,Xian 710054 ,Shaanxi Province ,China; 2.Northwest China Grid Company Limited ,Xian 710048 ,Shaanxi Province ,China );Structure Analysis of Water Turbine Governor Model for Stability Calculation of Power System[J];Power System Technology;2007-05
4 Yu Yang①② Yin Zhi-feng① Tian Ya-fei① ① (School of Information Science and Engineering , Lanzhou University, Lanzhou 730000, China) ② (School of Electronical and Information Engineering, Jiangsu Teachers College of Technology, Changzhou 221031, China);Multiuser Detector Based on Adaptive Artificial Fish School Algorithm[J];Journal of Electronics & Information Technology;2007-01
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 LIU Fan1,2),XIE Lun1),LI Bingjie3),WANG Zhiliang1),ZHENG Xuefeng1)1) School of Information Engineering,University of Science and Technology Beijing,Beijing 100083,China2) Xian Satellite Control Center,Xian 710043,China3) No.1 Institute of Domestic Affairs,Beijing 101601,China;Multi-sense swarm intelligence algorithm and its application in feed-forward neural networks training[J];Journal of University of Science and Technology Beijing;2008-09
2 LIU Zheng-liang,SU Hong-sheng(Lanzhou Jiaotong University,School of Automation,Langzhou 730070,China);Fault Diagnosis for Steam Turbine Vibration Based on Artificial Fish-swarm Algorithm of Neural Network[J];Journal of Chongqing Institute of Technology(Natural Science);2009-06
3 PAN Xi-he,JIA Bao-liang,WU Ying-wen(Wuhan Changjiang Control Equipment Department,Yangtze River ScientificResearch Institute,Wuhan 430010,China);Progress and Prospect of Domestic Turbine Control Technology[J];Journal of Yangtze River Scientific Research Institute;2007-05
4 FAN Yu-jun1,WANG Dong-dong2,SUN Ming-ming3(1.Dept.of Basic Science,Dezhou Vocational and Technical College,Dezhou Shandong 253000;2.Dept.of Undergraduate Course,Qingdao Binhai University,Qingdao 266555;3.College of Mathematics and Computer Science,Guangxi University for Nationalities,Nanning 530006,China);Improved Artificial Fish-school Algorithm[J];Journal of Chongqing Normal University(Natural Science Edition);2007-03
5 LIU Yao-nian,LI Ying-hong,LIU Jun-feng,YAO Yu-ping(Collegeof Electric Power Engineering,Northeast Dianli University,Jilin City,Jilin Province,132012);RBF Neural Networks Based on Artificial Fish-swarm Algorithm[J];Journal of Northeast Dianli University;2006-04
6 PANG Song-ling~1,LIU Dai~2 (1.Hainan Power Grid Company,Haikou City,Hainan Province,China,570203;2.Haikou Electric Power Supply Bureau, Haikou City,Hainan Province,China,570001);Power System Short-term Load Forecasting Based on Empirical Mode Decomposition and Artificial Fish-swarm Algorithm of Neural Network[J];Journal of Northeast Dianli University(Natural Science Edition);2008-06
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【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 Wei Shouping 1, Luo Ping 2, Lu Benjie 1 (1. Huazhong University of Science and Technology, Wuhan 430074, China) (2. Wuhan Xinglian Control System Engineering Co Ltd, Wuhan 430070, China);REVIEW OF DIGITAL ELECTRIC-HYDRAULIC GOVERNOR FOR HYDRAULIC TURBINE IN CHINA[J];Dam Observation and Geotechnical Tests;2003-05
2 Jiang Chuanwen, Wang Chengmin, Liu Yong (Shanghai Jiaotong University, Shanghai 200030, China);A CHAOS MUTATION EVOLUTIONARY PROGRAMMING FOR OPTIMIZATION OF PID PARAMETERS OF HYDRO-TURBINE GOVERNING SYSTEMS[J];Dam Observation and Geotechnical Tests;2004-04
3 WEI Shou-ping~1 WU Yong-gang~1 LIN Jing-huai~2 1. Huazhong University of Science and Technology,Wuhan 430074,China 2. Fujian Electric Power Dispatching and Communication Center,Fuzhou 350003,China;Hydro-turbine Governor and Grid Load Frequency Control--Part One Modeling and Simulation of Hydro-turbine Governor Control System[J];Dam Observation and Geotechnical Tests;2005-06
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9 Ju Ping Ni Laqin Han Jingdong (Hehai University 210098 China) Chen Xinqi (Zhejiang Institute of Electrical Test 310014 China);Simulated Evolutionary Approaches to Parameter Estimation of Synchronous Machines[J];TRANSACTIONS OF CHINA ELECTROTECHNICAL SOCIETY;1999-05
10 LIAO Zhong,SHEN Zu_yi(Hehai University,Nanjing 210098,China);Genetic Algorithm Based on the Orthogonal Crossover Operator and Its Application in Parameter Optimization of the Hydroturbine Governor[J];Large Electric Machine and Hydraulic Turbine;2003-05
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