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Analysis on impact of shared energy storage in residential community: Individual versus shared energy storage

机译:住宅区共享能源储存的影响分析:个人与共享能源存储

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摘要

Considering a scenario where residential consumers are equipped with solar photovoltaic (PV) panels integrated with energy storage while shifting the portion of their electricity demand load in response to time-varying electricity price, i.e., demand response, this study is motivated to analyze the practical benefits of using shared energy storage in residential communities. The main objective of this study is to compare individual and shared energy storage operations economically (in terms of electricity cost) and operationally (in terms of energy storage use) with various parameter settings. We propose mathematical optimization models formulated to find optimal energy operations of individual and shared energy storage so that the best practices can be compared. Through the analysis of the optimal shared energy storage operations resulting from the mathematical optimization model, we intend to discover underlying patterns that can be used for developing efficient control policies tailored to shared energy storage use. We conduct numerical experiments using real historical data, and the results show that shared energy storage results in electricity cost saving with higher utilization compared to individual energy storage. Cost savings and energy storage utilization improvements up to 13.82% and 38.98%, respectively, exist when using shared energy storage instead of individual energy storage. We find that the maximum charging/discharging rate parameters have the most significant effect on individual and shared energy storage settings. We provide useful insights about how to assign residential consumers to shared energy storage and how to control changing and discharging shared energy storage by multiple consumers.
机译:考虑到住宅消费者配备有太阳能光伏(PV)面板的场景,同时响应于时变电价,即需求响应而转换其电力需求负荷的一部分,即该研究是分析实用的在住宅社区中使用共享能源存储的好处。本研究的主要目的是经济地(在电力成本方面)和有各种参数设置的单独和在电力成本方面的共享能源存储操作。我们提出了数学优化模型,配制了各个和共享能量存储的最佳能量操作,以便比较最佳实践。通过分析数学优化模型产生的最佳共享能量存储操作,我们打算发现可用于开发针对共享能源存储使用量身定制的有效控制策略的底层模式。我们使用实际历史数据进行数值实验,结果表明,与个体储能相比,共用能量存储导致电力成本节省,利用更高。在使用共享能量存储而不是单独的能量存储时,成本节约和储能利用率分别改善了高达13.82%和38.98%。我们发现最大充电/放电率参数对个体和共享能量存储设置具有最显着的影响。我们提供有关如何将住宅消费者分配给共享能源存储以及如何通过多个消费者进行控制和放电的共享能源存储的有用见解。

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