One of the most significant issues arising from the intermittency of renewable sources is the discrepancy between the hours of peak generation and hours of peak load. This issue complicates the process of supply and demand balancing because the electrical energy generated by photovoltaic arrays cannot be directly stored. Energy storage systems provide a solution to this issue by storing the excess energy generated during peak generation time which will be delivered to the grid during peak load, increasing system energy efficiency. In this work, the possibility of utilizing a Megawatt scale energy storage system, such as a battery bank, to improve the efficiency of a proposed 10-MW Biglow Canyon solar array through solar peak shaving is discussed in detail. With an overview of the benefits of peak shaving and a comparative study of energy storage technologies, an assessment of the most suitable commercially available storage systems is broadly discussed in the paper. Three control algorithms based on battery storage, state of charge, and constant output are proposed to balance the difference between generation and usage using appropriate energy storage system. Simulations are performed with System Advisor Model software to gain an insight of the possible losses and to forecast the monthly energy production costs.

由可再生能源的间歇性引起的最重要的问题之一是高峰发电时间与高峰负荷时间之间的差异。由于不能直接存储由光伏阵列产生的电能，因此该问题使供需平衡的过程复杂化。能量存储系统通过存储在峰值发电时间内产生的多余能量（在峰值负载期间将传递到电网）来提供解决方案，从而提高了系统的能源效率。在这项工作中，将详细讨论利用兆瓦级储能系统（例如电池组）通过削峰提高10兆瓦Biglow Canyon太阳能电池阵列的效率的可能性。通过概述调峰的好处以及对储能技术的比较研究，对本文中最合适的商用储能系统进行了评估。提出了三种基于电池存储，充电状态和恒定输出的控制算法，以平衡使用适当的储能系统发电和使用之间的差异。使用System Advisor Model软件执行模拟，以了解可能的损失并预测每月的能源生产成本。建议采用恒定输出，以平衡使用适当的储能系统发电和使用之间的差异。使用System Advisor Model软件执行模拟，以了解可能的损失并预测每月的能源生产成本。建议采用恒定输出，以平衡使用适当的储能系统发电和使用之间的差异。使用System Advisor Model软件执行模拟，以了解可能的损失并预测每月的能源生产成本。