In this paper, an optimal technique for optimal location of battery energy storage system (BESS) and capacity wind power penetrations charging/discharging BESS dispatch is proposed. In this proposed work, the Big Bang-Big Crunch (BB-BC) algorithm is proposed and performance of BB-BC must be upgraded along chaotic initialization and chaotic search for acquiring that optimal switching pulse and henceforth it is named as CBCA technique. CBCA can improve the efficiency of unbalanced distribution network under technical limitations. The proposed method utilizes the average power loads of decisive criterion to charge or discharge the battery. Wind power generation is used entirely for charging the battery. Here, free-running and conservative battery discharge techniques are explored. The proposed method runs on IEEE 37 bus unbalanced radial distribution network (URDN) system. The simulation outcomes demonstrate that proposed method improves several efficiency objectives in the distribution system through optimally coordinating BESS shipments.

在本文中，提出了一种优化电池储能系统（BESS）选址和容量风电渗透充放电BESS调度的优化技术。在这项提议的工作中，提出了 Big Bang-Big Crunch (BB-BC) 算法，并且 BB-BC 的性能必须随着混沌初始化和混沌搜索进行升级，以获得最佳切换脉冲，因此将其命名为 CBCA 技术。CBCA 可以在技术限制下提高不平衡配电网的效率。所提出的方法利用决定性准则的平均功率负载对电池进行充电或放电。风力发电完全用于给电池充电。在这里，探索了自由运行和保守的电池放电技术。所提出的方法在 IEEE 37 总线不平衡径向分布网络 (URDN) 系统上运行。仿真结果表明，所提出的方法通过优化协调 BESS 运输提高了配送系统中的几个效率目标。