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  • 标题:Optimization of Mangala Hydropower Station, Pakistan, using Optimization Techniques
  • 本地全文:下载
  • 作者:Muhammad Zaman ; Shouqi Yuan ; Junping Liu
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2017
  • 卷号:136
  • 页码:1-7
  • DOI:10.1051/matecconf/201713602010
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:Hydropower generation is one of the key element in the economy of a country. The present study focusses on the optimal electricity generation from the Mangla reservoir in Pakistan. A mathematical model has been developed for the Mangla hydropower station and particle swarm and genetic algorithm optimization techniques were applied at this model for optimal electricity generation. Results revealed that electricity production increases with the application of optimization techniques at the proposed mathematical model. Genetic Algorithm can produce maximum electricity than Particle swarm optimization but the time of execution of particle swarm optimization is much lesser than the Genetic algorithm. Mangla hydropower station can produce up to 59*109 kWh electricity by using the flows optimally than 47*108 kWh production from traditional methods.
  • 关键词:enMangla ReservoirHydropowerOptimization techniquesPSO
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