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A Multi-objective Optimization Approach to Allocate Battery and Capacitor in Distribution Network

机译:配网分配电池和电容器的多目标优化方法

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As the complexities of electrical power distribution network increases due to application of intermittent local generation and critical loads, power management in the network has become a highly challenging task. This paper is intended to investigate the opportunity of coalesce application of battery energy storage (BES) and capacitor unit in electrical distribution network. In this regard, a comprehensive multiobjective planning model has been proposed here to identify prospective connection points and capacity of BES and capacitor units in distribution network. Multi-objective particle swarm optimization (MOPSO) based solution algorithm having fuzzy decision making criteria is employed to get optimal solution after trade-off between the objective of extension economic margin and reliability satisfying wide range of operational factors. The efficacy of the solution algorithm has been verified on a 28-bus Indian distribution system.
机译:由于配电网络的复杂性由于间歇性局部发电和关键负载的应用而增加,因此网络中的电源管理已成为一项极具挑战性的任务。本文旨在研究联合使用电池储能(BES)和电容器单元在配电网络中的机会。在这方面,这里提出了一个综合的多目标规划模型,以识别配电网中BES和电容器单元的预期连接点和容量。在具有扩展性的经济裕度和可靠性满足广泛的运行因素的目标之间进行权衡后,采用具有模糊决策标准的基于多目标粒子群优化(MOPSO)的求解算法来获得最优解。该解决方案算法的有效性已在28辆巴士的印度配电系统上得到验证。

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