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Optimal Scheduling for the Complementary Energy Storage System Operation Based on Smart Metering Data in the DC Distribution System

机译:直流配电系统中基于智能计量数据的互补储能系统运行优化调度

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The increasing penetration of distributed generation (DG) sources in low-voltage grid feeders causes problems concerning voltage regulation. The penetration of DG sources such as photovoltaics (PVs) in the distribution system can significantly impact the power flow and voltage conditions on the customer side. As the DG sources are more commonly connected to low-voltage distribution systems, voltage fluctuations in the distribution system are experienced because of the DG fluctuation and uncertainty. Therefore, the penetration of DGs in distribution systems is often limited by the required operating voltage ranges. By using an energy storage system (ESS), voltage fluctuation can be compensated for, thus satisfying the voltage regulation requirements. This paper presents an ESS scheduling algorithm based on the power injection data obtained from a smart metering system. The proposed ESS scheduling algorithm is designed for use within a direct current (DC) distribution grid, which comprises customers, each with a PV and an ESS system. The purpose of this ESS scheduling algorithm is to optimize the ESS scheduling by considering the complementary operation among all the ESSs.
机译:低压电网馈线中分布式发电(DG)源的渗透率不断提高,这引起了有关电压调节的问题。 DG源(例如光伏(PV))在配电系统中的渗透会严重影响客户方的功率流和电压条件。由于DG电源通常连接到低压配电系统,因此由于DG波动和不确定性,配电系统中会出现电压波动。因此,DG在配电系统中的渗透通常受到所需工作电压范围的限制。通过使用储能系统(ESS),可以补偿电压波动,从而满足电压调节要求。本文提出了一种基于从智能电表系统获得的电能注入数据的ESS调度算法。所提出的ESS调度算法设计用于在直流(DC)配电网格内使用,该电网包括客户,每个客户都有PV和ESS系统。这种ESS调度算法的目的是通过考虑所有ESS之间的互补操作来优化ESS调度。

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