Optimal allocation of distributed energy storage systems in unbalanced distribution networks

Dong Zhang, C. K. Das, G. Shafiullah, Kok Wai Wong
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引用次数: 1

Abstract

The increased penetration of renewable distributed generation (DG) such as wind power and photovoltaics (PV) in distribution networks has brought significant economic and environmental benefits to society. However, due to the intermittent nature of wind and solar, massive integration of such kinds of DG might cause severe problems, such as greater power loss, reduced power quality, and system efficiency. The integration of energy storage systems (ESS) provides an effective way to handle the above issues due to its capability of stabilizing voltage and frequency. Hence, it is necessary to optimally allocate the ESS to exert maximum support on the distribution network. This paper presents an approach for optimal allocation of ESS to improve voltage profile and reduce power losses and line loading in the unbalanced distribution system. The proposed methodology is tested on an unbalanced medium voltage IEEE-33 bus system with higher wind and PV generation. DIgSILENT PowerFactory is used for constructing and testing the system model. The simulation results demonstrate the effectiveness of the proposed approach in improving the power quality and system efficiency of unbalanced distribution systems.
不平衡配电网络中分布式储能系统的优化配置
风力发电和光伏发电等可再生分布式发电(DG)在配电网络中的渗透率不断提高,为社会带来了巨大的经济和环境效益。然而,由于风能和太阳能的间歇性,大规模集成此类分布式发电可能会带来严重问题,如电能损耗增大、电能质量下降和系统效率降低。由于储能系统(ESS)具有稳定电压和频率的能力,因此它的集成为解决上述问题提供了有效途径。因此,有必要对 ESS 进行优化配置,以便为配电网络提供最大支持。本文提出了一种优化 ESS 配置的方法,以改善电压曲线,减少不平衡配电系统中的功率损耗和线路负载。所提出的方法在风力和光伏发电量较高的不平衡中压 IEEE-33 母线系统上进行了测试。DIgSILENT PowerFactory 用于构建和测试系统模型。仿真结果证明了所提方法在改善不平衡配电系统的电能质量和系统效率方面的有效性。
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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