Collaborative Programming of Generation-Network-Energy Storage for the Problems of Distribution Network in Yunnan Province

Bao Liu, Jun-Zhao Cheng, L. Feng, Teng Li, Zhiyuan Wang, Rui Yang
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Abstract

A bi-level generation-network-energy storage coordination programming model of an active distribution network (ADN) considering the uncertainty of hydro and photovoltaic (PV) is proposed. Take advantage of the flexible output characteristics of hydropower generators to optimize the installation capacity and siting of distributed PV from the perspective of optimal operation of hydro-PV complementary systems. The upper level of the model is to minimize the comprehensive cost to make decisions on locating and sizing distributed generations (DG) and energy storage. The lower level, with annual operation and maintenance costs and fast voltage stability as the objectives. The economic dispatching of the ADN is realized by taking into account the output of DGs, hydro-PV complementary systems, and the charging and discharging of energy storage. Two-level PSO with a local search algorithm is used to solve this model in a simplified 51-bus distribution network in a region of Yunnan. The simulation results show that the proposed method can effectively reduce the investment cost and operation cost of the ADN, and improve the current problem of low voltage quality under the Yunnan distribution network.
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针对云南省配电网问题的发电-网络-储能协同规划
提出了考虑水电和光伏不确定性的有源配电网(ADN)两级发电网络-储能协调规划模型。从水电互补系统优化运行的角度出发,利用水轮发电机组灵活输出的特点,对分布式光伏的装机容量和选址进行优化。模型的上层是使分布式发电机组和储能系统的选址和规模决策的综合成本最小化。较低水平,以年运行维护成本和快速电压稳定为目标。通过综合考虑dg、水电互补系统的出力和储能的充放电,实现ADN的经济调度。采用两级粒子群算法结合局部搜索算法,对云南某地区51总线的简化配电网进行了求解。仿真结果表明,该方法能有效降低ADN的投资成本和运行成本,改善云南配电网低压质量问题。
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