Optimal Sizing and Operation of Energy Storage for Demand Charge Management and PV Utilization

M. Narimani, B. Asghari, Ratnesh K. Sharma
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引用次数: 7

Abstract

This paper presents a method to determine optimal energy and power capacity of distributed Energy Storage Systems (ESS) in behind-the-meter applications to maximize local Photovoltaic (PV) utilization or minimize Demand Charge (DC) cost. The problem is solved as a multiobjective optimization model to obtain a set of Pareto optimal solutions for each scenario in each month. An approach is then presented to map the monthly Pareto fronts into a single yearly Pareto front. A cost benefit analysis has also been carried out to show the compromise between PV utilization, DC cost, and ESS cost.
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基于需求收费管理和光伏利用的储能优化规模与运行
本文提出了一种确定分布式储能系统(ESS)在表后应用中的最佳能量和功率容量的方法,以最大化本地光伏(PV)利用率或最小化需求费用(DC)成本。将该问题作为一个多目标优化模型进行求解,得到每个月每个场景的一组Pareto最优解。然后提出了一种方法,将每月的帕累托锋面映射为单个的年度帕累托锋面。成本效益分析也显示了PV利用率、直流成本和ESS成本之间的折衷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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