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  • 标题:Optimal Power Dispatch of WECS and UPFC with ACO and ANFIS Algorithms
  • 本地全文:下载
  • 作者:Sunny Vig ; Balwinder Singh Surjan
  • 期刊名称:International Journal on Electrical Engineering and Informatics
  • 印刷版ISSN:2085-6830
  • 出版年度:2018
  • 卷号:10
  • 期号:1
  • 页码:14-36
  • DOI:10.15676/ijeei.2018.10.1.2
  • 出版社:School of Electrical Engineering and Informatics
  • 摘要:Wind energy conversion systems are the quickest developing renewable source ofelectrical energy having tremendous environmental and social advantages. In this paperproposed an optimal reactive power dispatch (ORPD) technique of wind power plants ingrid connected power system. The ORPD issue is a vital issue in the operation of powerframeworks. It is a nonlinear and mixed integer programming issue, which decides idealqualities for control parameters of reactive power makers to upgrade particular targetcapacities while fulfilling a few specialized requirements. The ORPD technique consists ofACO and ANFIS controller for improving the performance of multiple wind turbines andthe steady state stability of the power system in terms of active and reactive power flow of atransmission line. The ACO algorithm is used to extract the maximum power from WECS.The generated maximum power is transmitted through the UPFC connected HVDC link.The performance of the UPFC is improved with the ANFIS controller based on the actualand the reference power parameters of the grid connected power system. Furthermore,UPFC is utilized to control active and reactive flow of power in a transmission line. Theproposed method is implemented in MATLAB/Simulink platform and tested with thedifferent wind speed condition. To verify the effectiveness of the proposed model, theobtained results in the deterministic case is compared with the existing methods like GAand PSO.
  • 关键词:Unified Power Flow Controller (UPFC); Ant Colony Optimization (ACO);Algorithm; Adaptive Neuro Fuzzy Inference System (ANFIS); wind energy conversion;system (WECS) and power quality (PQ).
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