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

Abstract

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.