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  • 标题:Big-Bang and Big-Crunch (BB-BC) and FireFly Optimization (FFO): Application and Comparison to Optimal Power flow with Continuous and Discrete Control
  • 本地全文:下载
  • 作者:C. V. Gopala Krishna Rao ; G. Yesuratnam
  • 期刊名称:International Journal on Electrical Engineering and Informatics
  • 印刷版ISSN:2085-6830
  • 出版年度:2012
  • 卷号:4
  • 期号:4
  • 出版社:School of Electrical Engineering and Informatics
  • 摘要:Big-Bang and Big-crunch (BB-BC), a heuristic optimization method is based on the concept of universal evolution. FireFly optimization (FFO), also a recent heuristic optimization method, is based on the concept of flashing behaviour of lightingbugs. Both the optimization methods are applied to obtain the solution of the Optimal Power Flow (OPF) with continuous and discrete control variables for quadratic generator output cost functions. The continuous control variables are generating unit active power outputs and generator bus voltage magnitudes, while the discrete ones are transformer- tap settings and switchable shunt devices. A number of functional constraints such as load bus voltage magnitudes, line flows and reactive power capabilities are included as quadratic penalties in the optimization function. A comparative simulation results for Ward –Hale 6 bus system with seven control variables and IEEE 30 bus system with twenty-three control variables are presented.
  • 关键词:Bing-Bang and Big-Crunch; FireFly; optimal power flow; discrete;continuous
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