Stochastic Optimal Power Flow with Wind Generator Based on Stochastic Response Surface Method (SRSM) and Interior Point Methods

被引:0
|
作者
Tan, Ying [1 ]
Ma, Rui [1 ]
机构
[1] Changsha Univ Sci & Technol, Changsha, Hunan, Peoples R China
来源
2015 5TH INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES (DRPT 2015) | 2015年
关键词
probabilistic optimal power flow; wind power generator; stochastic response surface method; interior point methods; PROBABILISTIC LOAD FLOW; SYSTEM; SPEEDS; MODEL;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In order to describe the randomness of the wind speed, analyze its influence to the optimal power flow with wind power generator, and reduce simulation time, this paper proposes a calculation method for stochastic optimal power flow with wind generator based on stochastic response surface method (SRSM) and interior point methods. The stochastic response surface method is applied to transform the problem of probability evaluations of the output power to the deterministic problem and shorten calculation time. The interior point method is used to deal with the randomness of wind speed and solve the deterministic problem stochastic optimal power flow with wind generator. Compared with the Monte Carlo method on IEEE 14-bus systems, the stochastic response surface method requires smaller amount of computation and achieves higher accuracy. The results also indicate that the proposed compound method are more practical and effective in reducing simulation time.
引用
收藏
页码:2079 / 2083
页数:5
相关论文
共 50 条
  • [31] A novel stochastic power flow calculation and optimal control method for microgrid based on multivariate stochastic factors fusion - Sensitivity
    Shi, Hongtao
    Zhu, Jiahao
    Feng, Kun
    He, Zhuoheng
    Chang, Jiaming
    Chen, Tingting
    MEASUREMENT & CONTROL, 2025, 58 (02): : 168 - 184
  • [32] Uncertainty analysis based on stochastic response surface method in power system simulation
    Han, Dong
    Ma, Jin
    He, Renmu
    Guo, Runrui
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2011, 35 (24): : 12 - 16
  • [33] A comparative study of three collocation point methods for odd order stochastic response surface method
    Li, Dian-Qing
    Jiang, Shui-Hua
    Cheng, Yong-Gang
    Zhou, Chuang-Bing
    STRUCTURAL ENGINEERING AND MECHANICS, 2013, 45 (05) : 595 - 611
  • [34] Optimal power flow incorporating stochastic wind and solar generation by metaheuristic optimizers
    Mohd Herwan Sulaiman
    Zuriani Mustaffa
    Microsystem Technologies, 2021, 27 : 3263 - 3277
  • [35] Stochastic optimal power flow incorporating offshore wind farm and electric vehicles
    Jadhav, H. T.
    Roy, Ranjit
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2015, 69 : 173 - 187
  • [36] Optimal power flow incorporating stochastic wind and solar generation by metaheuristic optimizers
    Sulaiman, Mohd Herwan
    Mustaffa, Zuriani
    MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS, 2021, 27 (09): : 3263 - 3277
  • [37] Optimal power flow via interior point methods: An educational tool in matlab
    Torres, GL
    Quintana, VH
    1996 CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING - CONFERENCE PROCEEDINGS, VOLS I AND II: THEME - GLIMPSE INTO THE 21ST CENTURY, 1996, : 996 - 999
  • [38] Nonlinear interior-point optimal power flow method based on a current mismatch formulation
    Zhang, XP
    Petoussis, SG
    Godfrey, KR
    IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 2005, 152 (06) : 795 - 805
  • [39] Optimal power flow algorithm based on nonlinear multiple centrality corrections interior point method
    South China University of Technology, Guangzhou 510640, China
    Diangong Jishu Xuebao, 2007, 12 (133-139):
  • [40] Stochastic Optimal Reactive Power Dispatch Method Based on Point Estimation Considering Load Margin
    Fang, Sidun
    Cheng, Haozhong
    Song, Yue
    Zeng, Pingliang
    Yao, Liangzhong
    Bazargan, Masoud
    2014 IEEE PES GENERAL MEETING - CONFERENCE & EXPOSITION, 2014,