Distributed Photovoltaic-Storage System Optimization Planning Considering Flexible Resources in Smart Distribution Network

Guanzhang Ju, Min Zhao, Shunxin Li, Ruipeng Jing
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Abstract

As more and more distributed generation are widely integrated to the distribution network, the risk of node voltage and power flow exceeding the limits is greatly increased. The installation of energy storage can suppress the fluctuation of renewable power output and promote the distributed generation consumption. A distributed photovoltaic-storage system optimization planning method based on day ahead economic dispatch is proposed. Its characteristic is to use the second-order cone to model the flexible resources in source-network-load-storage. Through the analysis of IEEE 33 bus system, it is found that part of the output of the DG is abandoned and the installation of ES can improve the power supply income of the distribution system.
智能配电网中考虑柔性资源的分布式光伏储能系统优化规划
随着越来越多的分布式电源广泛接入配电网,节点电压和潮流超限的风险大大增加。储能系统的安装可以抑制可再生能源输出的波动,促进分布式发电消纳。提出了一种基于日前经济调度的分布式光伏储能系统优化规划方法。其特点是利用二阶锥对源-网络-负载-存储中的柔性资源进行建模。通过对ieee33总线系统的分析,发现DG的部分输出被废弃,安装ES可以提高配电系统的供电收入。
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