基于鸡群优化的电动汽车充电站规划与运行

Sulabh Sachan, Sanchari Deb, Sri Niwas Singh, Pravin Prakash Singh, Desh Deepak Sharma
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引用次数: 18

摘要

电动汽车的成功部署需要建立简单可达充电站。云存储系统的调度和动作是一个复合问题,不应影响电网的平稳运行。本文尝试用一种新的基于鸡群优化的启发式算法来解决云存储系统的规划和运行问题。CS的放置在多目标框架中建模,因为成本效益参数保证了电网的运行。在此基础上,研究了非协调充电、协调充电、车辆与电网双向充电三种情况下CSs的运行情况。该方法在IEEE 33总线和印度Guwahati的配电网上进行了测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Planning and operation of EV charging stations by chicken swarm optimization driven heuristics

Planning and operation of EV charging stations by chicken swarm optimization driven heuristics

Successful deployment of electric vehicles demands for establishment of simple reachable charging stations (CSs). Scheduling and action of CSs is a composite problem and that should not affect the smooth operation of the power grid. The present paper attempts to solve the planning and operation of CSs by a novel chicken swarm optimization-based heuristics. The placement of CS is modelled in a multi-objective framework as cost-effective parameters secures the operation of the power grid. Further, the operation of CSs is examined for three scenarios such as uncoordinated charging, coordinated charging, as well as bidirectional vehicle to grid. The proposed approach is tested on IEEE 33-bus, and on a distribution network of Guwahati, India.

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