In recent years, balance of power supply and demand as control and smoothing of peak load demand has been one of the major concerns of utilities. Hence, peak load shaving is a preferred approach to cut peak load and smooth the load curve. This paper presents a novel and fast algorithm to evaluate optimal capacity of energy storage system within charge/discharge intervals for peak load shaving in a distribution network. This method is based on reshaping of aggregated load profile (historical load profile), which observed from the main distribution substation to calculate required BESS size by simple and fast mathematical procedures. A case study of 22-bus model is analyzed in MATLAB® environment to determine optimal location of the selected BESS. Main contribution of this paper is (ⅰ) to find the optimal size (capacity and power) of BESS, (ⅱ) determine the optimal location of BESS, and (ⅲ) propose the BESS control strategy and scheduling for optimum operation. Different scenarios including the baseline case (without BESS), centralized BESS, and centralized BESS with PV are considered to reduce peak load demand and power losses, as well as to improve voltage profile during peak load hours. Simulation results indicate that all cases of BESS installation can significantly improve the operation of the distribution network. Simulation results highlight centralized BESS and PV as a compelling case to shave demand peak. All told, findings indicate the effectiveness of the proposed algorithm for peak load shaving by giving optimum location and sizing of BESS.

近年来，作为控制和平滑峰值负载需求的电力供需平衡一直是公用事业的主要关注之一。因此，削减峰值负载是削减峰值负载并平滑负载曲线的首选方法。本文提出了一种新颖且快速的算法，用于评估充电/放电间隔内储能系统的最佳容量，以优化配电网络中的峰值负荷。该方法基于总负荷分布图（历史负荷分布图）的重塑，可从简单的快速数学程序从主配电变电站观察到，以计算所需的BESS大小。在MATLAB®环境中分析了22总线模型的案例研究，以确定所选BESS的最佳位置。本文的主要贡献是（ⅰ）找出BESS的最佳尺寸（容量和功率），（ⅱ）确定BESS的最佳位置，并（ⅲ）提出BESS控制策略和调度以实现最佳运行。考虑了包括基线情况（无BESS），集中式BESS和带PV的集中式BESS在内的不同方案，以减少峰值负载需求和功率损耗，并改善峰值负载小时内的电压曲线。仿真结果表明，安装BESS的所有情况都可以显着改善配电网络的运行。仿真结果强调了集中式BESS和PV是减少需求高峰的有力理由。总而言之，发现表明通过提供最佳的位置和BESS的大小，该算法对于峰值负荷削减的有效性。考虑了包括基线情况（无BESS），集中式BESS和带PV的集中式BESS在内的不同方案，以减少峰值负载需求和功率损耗，并改善峰值负载小时内的电压曲线。仿真结果表明，安装BESS的所有情况都可以显着改善配电网络的运行。仿真结果强调了集中式BESS和PV是减少需求高峰的有力理由。总而言之，发现表明通过提供最佳的位置和BESS的大小，该算法对于峰值负荷削减的有效性。考虑了包括基线情况（无BESS），集中式BESS和带PV的集中式BESS在内的不同方案，以减少峰值负载需求和功率损耗，并改善峰值负载小时内的电压曲线。仿真结果表明，安装BESS的所有情况都可以显着改善配电网络的运行。仿真结果强调了集中式BESS和PV是减少需求高峰的有力理由。总而言之，发现表明通过提供最佳的位置和BESS的大小，该算法对于峰值负荷削减的有效性。仿真结果表明，安装BESS的所有情况都可以显着改善配电网络的运行。仿真结果强调了集中式BESS和PV是减少需求高峰的有力理由。总而言之，发现表明通过提供最佳的位置和BESS的大小，该算法对于峰值负荷削减的有效性。仿真结果表明，安装BESS的所有情况都可以显着改善配电网络的运行。仿真结果强调了集中式BESS和PV是减少需求高峰的有力理由。总而言之，发现表明通过提供最佳的位置和BESS的大小，该算法对于峰值负荷削减的有效性。