基于分布鲁棒优化的集散式储能时空调配方法

A distributionally robust optimization-based spatiotemporal dispatch method for distributed-centralized energy storage systems

  • 摘要: 随着高比例分布式光伏接入和用电需求攀升,配电网面临严峻的电压越限与季节性配电变压器重过载等问题, 严重制约了分布式可再生能源的高效利用与电网的安全稳定运行。为此,提出一种集散式储能灵活调配与运行优化 策略,通过时空联合优化,确定集中式储能场站中电池模组搬移至配电台区的最优路径和容量,并优化储能设备在 台区的日出力计划。同时,计及光伏出力不确定性的影响,构建了基于分布鲁棒的集散储能灵活调配优化模型,兼 顾方案的鲁棒性和经济性。IEEE33节点算例的仿真结果表明,所提策略能够有效缓解季节性负荷突增引发的电压 越限与重过载问题,实现储能资源在时间与空间上的经济配置,显著提升了配电网运行的灵活性与供电质量。

     

    Abstract: With the high proportion of distributed photovoltaic power connections and the increasing electricity demand, the distribution network is facing severe problems such as voltage over-limit and seasonal overloading of distribution transformers, which seriously restrict the efficient utilization of distributed renewable energy and the safe and stable operation of the power grid. Therefore, a distributed energy storage flexible allocation and operation optimization strategy is proposed. Through joint optimization of time and space, it determines the optimal path and capacity for moving battery modules of centralized energy storage stations to distribution substations, and optimizes the daily output plan of energy storage equipment in the substations. At the same time, to take into account the impact of photovoltaic output uncertainty, a distributed robust distributed energy storage flexible allocation optimization model is constructed, which takes into account the robustness and economy of the scheme. The simulation results in the IEEE 33-node example show that the proposed strategy can effectively alleviate voltage over-limit and overloading caused by seasonal load surges, achieve economic allocation of energy storage resources in time and space, and significantly improve the flexibility and power supply quality of the distribution network operation.

     

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