拓扑辨识在配电系统BESS最优配置中的应用

A. Rigas, G. Messinis, N. Hatziargyriou
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引用次数: 2

摘要

电池储能系统(BESS)分布在低压(LV)网络上,作为一种为有源配电网提供辅助服务的手段被提出。因此,最佳规划BESS的位置和大小是重要的,以确保这些解决方案的经济和技术可行性。大多数现有的最优规划方法依赖于先前的网络拓扑知识,特别是在低压网络中,这在实践中可能是不可用的。本文假设仅放置在网络叶节点上的智能电表的P、Q、V测量值的知识。首先,采用拓扑识别算法对网络拓扑进行估计。其次,在已识别网络和原始网络上应用了BESS最优规模算法,以评估拓扑识别潜在错误在规划过程中的影响。最后,在典型网络案例上对该算法进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Topology Identification on Optimal BESS Sizing in Distribution Systems
Battery Energy Storage Systems (BESS) distributed over the Low Voltage (LV) network have been proposed as means of providing ancillary services in active distribution grids. Hence, optimal planning of BESS places and sizes is important so as to ensure economic and technical viability of such solutions. Most of the existing approaches for the optimal planning rely on previous knowledge of the network topology which, especially in low voltage networks, may not be available in practice. The paper assumes knowledge of P, Q, V measurements from smart meters placed in network leaf nodes only. At first, a topology identification algorithm is applied in order to estimate the network topology. Next, an algorithm for optimal sizing of BESS is applied on both the identified and original networks in order to assess the impact of topology identification potential errors in the planning procedure. Finally, the proposed algorithm is demonstrated on characteristic network cases.
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