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Reactive power optimization based on modified membrane computing for distribution network with electric vehicles and wind power generation

机译:基于改进的膜计算的电动汽车与风力发电配电网无功优化

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The rapid development of plug-in hybrid electric vehicles and renewable generation brings new challenges to the secure and economic operation of power systems. A reactive power optimization model based minimizing network loss is established, considering electric vehicle stochastic charging /discharging and uncertain outputs of wind turbines. To improve the accuracy and global searching capability, The modified membrane computing (MMC) based communication rule, cross transposition rule and mutation rewrite rule is proposed. Finally, the modified IEEE-33 nodes system is simulated through the proposed algorithm and general GA. The effectiveness and correctness of the proposed method and model are verified.
机译:插电式混合动力汽车和可再生能源的迅猛发展给电力系统的安全和经济运行带来了新的挑战。考虑到电动汽车的随机充电/放电以及风力发电机的不确定输出,建立了基于最小化网络损耗的无功优化模型。为了提高准确性和全局搜索能力,提出了基于改进膜计算(MMC)的通信规则,交叉换位规则和变异重写规则。最后,通过提出的算法和通用遗传算法对改进的IEEE-33节点系统进行了仿真。验证了所提方法和模型的有效性和正确性。

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