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Genetic algorithm based cost optimization to integrate a community based wind turbine while considering smart appliances scheduling

机译:基于遗传算法的成本优化,以集成基于社区的风力发电机,同时考虑智能设备调度

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A coordinated approach capable of optimal scheduling of the responsive residential appliances to minimize the total cost of a community based scheme comprises a wind farm is suggested in this study. Here demand side loads are managed by optimizing smart appliances' operating time to minimize the cost to the community using a genetic algorithm based method. The cost optimization is obtained for different test cases using the algorithm implemented and results are discussed.
机译:在这项研究中,提出了一种协调的方法,该方法能够优化响应性家用电器的调度,以最小化包括风电场在内的基于社区的计划的总成本。在这里,需求端负载通过使用基于遗传算法的方法优化智能设备的运行时间来管理,以最大程度地降低社区成本。使用实现的算法针对不同的测试案例获得了成本优化,并讨论了结果。

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