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Solving multi-objective optimal power flow problem considering wind-STATCOM using differential evolution

机译:基于微分进化的风STATCOM求解多目标最优潮流问题

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In this paper, a simple strategy based differential evolution was proposed for solving the problem of multi-objective environmental optimal power flow considering a hybrid model (Wind-Shunt-FACTS). The DE algorithm optimized simultaneously a combined vector control based active power of wind sources and reactive power of multi STATCOM exchanged with the electrical power system to minimize fuel cost and emissions. The proposed strategy was examined and applied to the standard IEEE 30-bus with smooth cost function to solve the problem of security environmental economic dispatch considering multi distributed hybrid model based wind and STATCOM controllers. In addition, the proposed approach was validated on a large practical electrical power system 40 generating units considering valve point effect. Simulation results demonstrate that choosing the installation of multi type of FACTS devices in coordination with many distributed wind sources is a vital research area.
机译:针对混合模型(Wind-Shunt-FACTS),提出了一种基于差分进化的简单策略来解决多目标环境最优潮流问题。 DE算法同时优化了基于矢量控制的风源有功功率和与电力系统交换的多台STATCOM无功功率的组合,以最大程度地减少燃料成本和排放。研究了该策略并将其应用于具有平滑成本函数的标准IEEE 30总线,以解决基于风和STATCOM控制器的多分布式混合模型的安全环境经济调度问题。另外,在考虑阀点效应的大型实际电力系统40发电机组上对提出的方法进行了验证。仿真结果表明,选择与多种分布式风源配合安装多种类型的FACTS设备是至关重要的研究领域。

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