基于多时段IL用户优化调度的配电网TSC均衡提升策略

可中断负荷的管理作为配电网的一种调度手段，研究其对配电网供电能力的影响具有重要意义。目前研究仅涉及在加入用户分级后配电网的供电能力是否有所提升以及能够提升多少，尚不能有效地管理利用负荷以及实现可中断负荷在提升供电能力方面的电力资源的有效分配。以单位时段配电网供电能力值为优化变量，以计及可中断负荷后配电网TSC的曲线形状与日负荷曲线形状相似度最高和配电网各时段的供电能力最大为优化目标，建立可中断用户调度优化模型。针对模型采用遗传算法求得Pareto最优解集，并采用基于DM层次分析法进行决策，选出最满意的调度方案。通过算例验证了所提模型和算法的有效性。

A balanced improving scheme for distribution network TSC based on multi-period IL user optimal scheduling

The management of interruptible load is a kind of dispatching method of distribution network. It is important to study its influence on power supply capacity of distribution network. The current research only involves the improvement of power supply capability of the distribution network after the user is added into the classification. It can not effectively manage and use the load, and can not realize the effective distribution of interruptible load on improving the supply capability of distribution network. An optimized model of interruptible user scheduling is established in this paper. In the model, the value of power supply capability of distribution network in unit period is used as optimization variable, the highest similarity of the curve shape between TSC considering interruptible load and the daily load of the distribution network and the maximum power supply capability of distribution network at different time periods are taken as optimization objectives. The genetic algorithm is used to obtain the Pareto optimal solution set, and decision-making based on DM-level analytic method is adopted to select the most satisfactory scheduling scheme. A numerical example is provided to verify the effectiveness of the proposed model and algorithm. This work is supported by National Natural Science Foundation of China (No. 51607068).