Demand response of islanded residential critical loads considering PV generation uncertainty and storage capacity

Arin Hovanessian, Mohammadali Norouzi, G. Gharehpetian
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引用次数: 2

Abstract

Renewable energy sources, propagation and extension in the world put its undeniable effects on electricity consumers, which supplies many homes, and buildings equipped with Photovoltaic (PV) system as one of the distributed energy resources (DERs). Due to PVs generation uncertainty and the necessity of energy economy management in the buildings, an optimal energy management method is needed that should be implemented based on the user critical load demand response with considering the storage capacity. This paper addresses a smart load management approach based on State of Charge (SOC) index to determine battery capacity in the condition of the PV generation uncertainty at 24 hours a day in the island state. It should be noticed that in the current load management method in the similar conditions the customers dealt with a power outage because the distribution network and customer devices will be protected from voltage fluctuation. The customer dissatisfaction and power generation uncertainty are the significant disadvantages of it. For this reason, to find a solution regard to smart demand response, it is suggested that the residential critical loads, categorized in three groups in which based on the smart selective program the target cluster loads supplied. According to the mentioned approach, 62% and 54% of winter and summer critical loads with considering the battery capacity in the island system are supplied, respectively. Furthermore, each electricity consumer average revenue in the condition of the PV generation uncertainty as the worst case (island state) are increased 1.93 $ and 2.91 $, respectively.
考虑光伏发电不确定性和存储容量的孤岛居民临界负荷需求响应
可再生能源在世界范围内的传播和扩展对电力消费者产生了不可否认的影响,它为许多家庭提供电力,而安装光伏(PV)系统作为分布式能源(DERs)之一的建筑物。由于光伏发电的不确定性和建筑节能管理的必要性,需要一种基于用户临界负荷需求响应并考虑存储容量的最优能源管理方法。本文研究了一种基于荷电状态(SOC)指数的智能负载管理方法,以确定该岛24小时光伏发电不确定条件下的电池容量。值得注意的是,在目前的负荷管理方法中,在类似的情况下,由于配电网和客户设备将免受电压波动的影响,客户处理停电。客户的不满意和发电的不确定性是其显著的缺点。因此,为了寻找智能需求响应的解决方案,建议将住宅临界负荷分为三组,其中基于智能选择方案的目标集群负荷提供。根据上述方法,在考虑海岛系统电池容量的情况下,分别提供冬季和夏季临界负荷的62%和54%。此外,在光伏发电不确定性为最坏情况(岛国)的情况下,每个电力消费者的平均收益分别增加1.93美元和2.91美元。
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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