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《Renewable Energy Resources》 2017-07
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A hybrid model for wind farm abandoned wind power forecasting based on empirical mode decomposition and Markov chain

Gao Lei;Xie Lirong;Chao Qin;Niu Yongchao;School of Electrical Engineering, Xinjiang University;  
Taking wind power history data and wind turbines power data into consideration,take the difference between the two groups of the data as wind farm abandoned wind power time series,which is predicted using the algorithm that can be achieved by combinating empirical mode decomposition with Markov chain. First of all, using EMD to decompose wind farm abandoned wind power time series to improve stability and periodicity and generate 9 sequence components;Then,dividing the state of each sequence component,using Markov chain to generate 9 sequence components;Finally,the results of each component forecasting are superimposed to obtain the final forecasting result. Take one of Xinjiang wind farms as an example to simulate and verify the algorithm. The research results show that the hybrid model has better performance to track the trend of abandoned wind power,the prediction accuracy can meet the corresponding requirements.
【Fund】: 国家自然科学基金项目(51667021)
【CateGory Index】: TM614
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Chinese Journal Full-text Database 9 Hits
1 Gao Yang;Zhong Hongyu;Chen Xinyu;Geng Aicheng;Zhang Liu;Lei Caijuan;School of Electrical Engineering, Shenyang Institute of Engineering;State Grid Power Supply Company of Tonghua;State Grid Power Supply Company of Fuxin,Control center;Basic Teaching Department, Shenyang Institute of Engineering;;Ultra short term wind speed forecasting based on neural network and wavelet analysis[J];可再生能源;2016-05
2 ZHANG Xinsong;LI Xiaofei;WANG Yun;HUANG Peng;YUAN Yue;Research Center for Renewable Energy Generation Engineering (Hohai University), Ministry of Education;China Electric Power Research Institute;Ningxia Electrical Power Company of State Grid Company;;Day-ahead dispatching in consideration of wind power curtailments in uncertain environments[J];电力系统保护与控制;2015-24
3 JIANG Yuechun;ZHANG Bingjiang;XING Fangfang;ZHANG Yu;WANG Zhigang;School of Electrical and Information Engineering, Hunan University;Zhumadian Power Supply Company,State Grid Henan Electric Power Company;;Super-Short-Term Multi-Step Prediction of Wind Power Based on GA-VNN Model of Chaotic Time Series[J];电网技术;2015-08
4 Wang Cong;Yang Jianbin;Deng Ying;College of Science,Hohai University;College of Enterprise Management,Hohai University;;APPLICATION OF MATHEMATICAL MODELING METHODS IN WIND-POWER PREDICTION[J];太阳能学报;2015-05
5 Feng Kai;Ying Zhanfeng;Wu Junji;Wan Meng;School of Energy and Power Engineering,NUST;;Short-term wind speed forecast based on wavelet packet decomposition and peak-type Markov chain[J];南京理工大学学报;2014-05
6 Li Li;Qi Yongsheng;Liu Shuo;Wang Ling;Institute of electric power, Inner Mongol University of Technology;;Wind power prediction based on wavelet PLS[J];可再生能源;2014-09
7 Zhang Kaoshe;Luo Zhao;Institute of Water Resources and Hydro-Engineering, Xi'an University of Technology;;Short-term wind power forecasting based on RBF-BP neural network[J];可再生能源;2014-09
8 ;Wind Energy Curtailment List[J];能源;2014-07
9 JIANG Wenling;FENG Shuanglei;SUN Yong;WANG Bo;WANG Ningbo;GUO Lingxu;China Electric Power Research Institute;Jilin Electric Power Corporation Limited;Gansu Electric Power Corporation Wind Power Technology Center;Tianjin Electric Power Dispatching and Control Center;;Study on Energy Loss Calculation During Wind Power Curtailment Based on Wind Speed Measured by Turbine Nacelle Anemometers[J];电网技术;2014-03
Chinese Journal Full-text Database 9 Hits
1 Gao Lei;Xie Lirong;Chao Qin;Niu Yongchao;School of Electrical Engineering, Xinjiang University;;A hybrid model for wind farm abandoned wind power forecasting based on empirical mode decomposition and Markov chain[J];可再生能源;2017-07
2 Zhang Shuangyi;Hu Fei;State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry,Institute of Atmospheric Physics,Chinese Academy of Sciences;University of Chinese Academy of Sciences;China Three Gorges New Energy Co.,Ltd;;Turbulence based Dual-NTF Method applied to power curve measurement with nacelle anemometer[J];可再生能源;2017-07
3 ZHANG Peng;LI Chunyan;ZHOU Zhe;WANG Dong;State Key Laboratory of Power Transmission Equipment&.System Security and New Technology of Chongqing University;Electric Power Design Institute of State Grid Chongqing Electric Power Company;;A Study on the Wind Power Consumption of the CHP System During the Heating Period Based on the Demand Response[J];重庆电力高等专科学校学报;2017-03
4 HAO Xiao-hong;HE Kan;College of Computer and Communication Engineering Lanzhou University of Technology;College of Electrical Engineering and Information Engineering Lanzhou University of Technology;;Dynamic economic dispatch considering wind power penetration based on NSGA-Ⅱ[J];电子设计工程;2017-11
5 Zhang Meng;Zhong Nan;College of Engineering,South China Agricultural University;;Lean Meat Percentage Prediction of Pig Carcass Based on Radial Basis Function Neural Network[J];农机化研究;2017-06
6 YANG Jiaran;WANG Xingcheng;SUI Lintao;LIU Xianzheng;LUO Xiaofen;Dalian Maritime University;HUANENG Weihai Power Generation CO.,LTD.;;Multi-objective optimal scheduling of wind integrated power systems with hybrid intelligent algorithm[J];电力系统保护与控制;2017-11
7 Li Bowen;Zhang Jing;He Yu;School of Electrical engineering,Guizhou University;;The summary of wind speed and wind power forecast technique research[J];贵州电力技术;2017-05
8 Liu Xingyu;Wen Buying;Jiang Yuewen;College of Electrical Engineering and Automation Fuzhou University;;Study on the Benefit from Spinning Reserve in Wind Power Integrated Power System Based on Conditional Value at Risk[J];电工技术学报;2017-09
9 YAO Tianliang;WU Xingquan;LI Zhiwei;LI Xin;WANG Kun;Gansu Electric Power Design Institute Limited Company of China Energy Construction Group;;Research on complementary capacity ratio of wind power and photovoltaic considering multiple constraints[J];电力系统保护与控制;2017-09
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 LI Jinghua;WEN Jinyu;PAN Yi;CUI Hui;State Key Lab of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology;China Electric Power Research Institute;;Robust dispatching mode of electrical power system to cope with renewable energy power[J];电力系统保护与控制;2015-22
2 GUO Xiaoxuan;GONG Renxi;BAO Haibo;HANG Naishan;School of Electrical Engineering, Guangxi University;Guangxi Electric Power Research Institute;;Second-order cone programming method of chance constrained economic dispatch considering renewable energy sources[J];电力系统保护与控制;2015-22
3 YU Wenxin;HE Yigang;WU Xianming;GAO Kun;School of Information & Electrical Engineering, Hunan University of Science and Technology;School of Electrical and Automation Engineering, Hefei University of Technology;College of Electrical and Information Engineering, Hunan University;;Method of analog circuit fault diagnosis based on FOA-neural network[J];计算机工程与应用;2015-22
4 ZHONG Hong-yu;GAO Yang;ZHONG Chao;TIAN Ming-hui;WU Liang;Graduate Department,Shenyang Institute of Engineering;School of Electrical Engineering,Shenyang Institute of Engineering;;Research of Ultra-short-term Wind Power Forecasting Based on dbN Wavelet Transformation[J];沈阳工程学院学报(自然科学版);2015-03
5 Wang Lijie;Dong Lei;Gao Shuang;Beijing Information Science and Technology University;Beijing Institute of Technology;;Wind Power Short-term Prediction Based on Principal Component Analysis of NWP of Multiple Locations[J];电工技术学报;2015-05
6 LU Pengming;WEN Buying;JIANG Yuewen;School of Electrical Engineering and Automation, Fuzhou University;;Study on optimization of spinning reserve in wind power integrated power system based on multiple timescale and unit commitment coordination[J];电力系统保护与控制;2015-05
7 Ge Xiaolin;Zhang Lizi;Shanghai University of Electric Power;North China Electric Power University;;Wind-Hydro-Thermal Stochastic Unit Commitment Problem Considering the Peak Regulation Constraints[J];电工技术学报;2014-10
8 Zhang Kaoshe;Luo Zhao;Institute of Water Resources and Hydro-Engineering, Xi'an University of Technology;;Short-term wind power forecasting based on RBF-BP neural network[J];可再生能源;2014-09
9 WANG Guo-quan;WANG Sen;LIU Hua-yong;XUE Yong-duan;ZHOU Ping;Economic & Technology Research Institute, State Grid Chongqing Electric Power Company;College of Information and Control Engineering, China University of Petroleum;;Self-adaptive and dynamic cubic ES method for wind speed forecasting[J];电力系统保护与控制;2014-15
10 REN Liang;ZHAO Xingyong;Department of Electric Engineering,Shanxi University;;Studies on Ultra-Short Term Wind Speed Forecast Based on NWP of Multi-Location[J];电网与清洁能源;2014-05
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