当前位置: X-MOL 学术Electr. Power Syst. Res. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Mitigating voltage-sag and voltage-deviation problems in distribution networks using battery energy storage systems
Electric Power Systems Research ( IF 3.9 ) Pub Date : 2020-07-01 , DOI: 10.1016/j.epsr.2020.106294
Haytham M.A. Ahmed , Ahmed S.A. Awad , Mohamed Hassan Ahmed , M.M.A. Salama

Abstract This paper proposes a framework for solving voltage-sag and voltage-deviation problems in distribution networks using battery energy storage systems (BESSs). The proposed framework is divided into two parts. In the first part, a proposed stochastic planning algorithm determines the optimal sizes and locations of the BESSs that mitigate voltage sags in distribution systems (DSs). The objective of the planning algorithm is to minimize the system annualized costs that include the BESS costs as well as the economic losses associated with voltage-sag events. In the second part, a post-fault network-reconfiguration (PFNR) algorithm is proposed to guarantee the optimal and reliable post-fault operation of the system. The objective function is to minimize the post-fault operation costs that include the generation costs, load-curtailment costs, and BESS costs. The main goal of the second part is to use the BESSs obtained from the planning algorithm to ensure the full satisfaction of the system operational constraints that include the voltage limits. The two parts proposed in this paper have been tested on IEEE 33-bus and IEEE 69-bus distribution systems. The obtained results demonstrate the effectiveness of the proposed algorithms in mitigating voltage-sag and voltage-deviation problems at the system level using BESSs.

中文翻译:

使用电池储能系统缓解配电网络中的电压骤降和电压偏差问题

摘要 本文提出了一种解决使用电池储能系统 (BESS) 的配电网络中的电压骤降和电压偏差问题的框架。拟议的框架分为两部分。在第一部分中,提出的随机规划算法确定 BESS 的最佳大小和位置,以减轻配电系统 (DS) 中的电压骤降。规划算法的目标是最小化系统年化成本,包括 BESS 成本以及与电压骤降事件相关的经济损失。在第二部分中,提出了一种故障后网络重构(PFNR)算法,以保证系统在故障后的最优和可靠运行。目标函数是最小化故障后运行成本,包括发电成本、限电成本、和 BESS 成本。第二部分的主要目标是使用从规划算法中获得的 BESS 来确保完全满足包括电压限制在内的系统运行约束。本文提出的两部分已经在 IEEE 33 总线和 IEEE 69 总线分配系统上进行了测试。获得的结果证明了所提出的算法在使用 BESS 缓解系统级电压骤降和电压偏差问题方面的有效性。
更新日期:2020-07-01
down
wechat
bug