提高配电网承载力的分布式光伏双层规划方法

Distributed photovoltaic bilevel programming method for improving carrying capacity of distribution networks

针对光伏发电爆发式增长、规模化并网,配电网结构和运行状态发生较大改变,配电网的可靠性和安全性受到挑战的问题,以广义短路比(gSCR)、节点电压关联裕度(VIMI)和电压偏差作为配电网承载能力评估指标,提出了一种提高配电网承载能力的分布式光伏选址定容双层规划模型.上层以配电网承载能力最大为目标,对分布式光伏设备进行选址定容;下层规划以网损最小为目标,调节光伏设备无功出力,优化光伏接入容量.利用天牛须(BAS)-粒子群算法和二阶锥松弛方法对模型进行求解.最后通过案例验证模型的有效性,结果表明所提方案具有良好的鲁棒性和适用性.

In response to the explosive growth and large-scale grid connection of photovoltaic power generation,significant changes in the structure and operation status of the distribution network,and challenges to the reliability and safety of the distribution network,the generalized short circuit ratio(gSCR),voltage correlated margin index(VIMI),and voltage deviation were used as evaluation indicators for the carrying capacity of the distribution network.A distributed photovoltaic location and capacity dual layer planning model was proposed to improve the carrying capacity of the distribution network.The upper level aims to maximize the load-bearing capacity of the distribution network,and in which the location and capacity of distributed photovoltaic equipment were selected.The lower level planning aims to minimize grid losses,in which the reactive power output of photovoltaic equipment was adjusted,and the photovoltaic access capacity was optimized.The beetle antennae search algorithm(BAS)particle swarm optimization algorithm and second-order cone relaxation method was used to solve the model.Finally,the effectiveness of the model was verified through a case study,and the results show that the proposed scheme has good robustness and applicability.