基于多时段IL用户优化调度的配电网TSC均衡提升策略

发布时间：2018-09-11 10:36

【摘要】：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。
[Abstract]:As a dispatching method of distribution network, it is very important to study the influence of interruptible load management on power supply ability of distribution network. The current study only concerns whether or not the power supply capacity of the distribution network has been improved and how much it can be enhanced after adding the user rating. It can not effectively manage the utilization load and realize the effective allocation of power resources in improving the power supply capacity of interruptible load. Taking the power supply capacity value of distribution network per unit period as the optimization variable, taking into account that the curve shape of distribution network TSC after interruptible load has the highest similarity to the shape of daily load curve and the maximum power supply capacity of distribution network in each period of time, the optimization goal is to consider the curve shape of distribution network after interruptible load. An optimal scheduling model for interruptible users is established. The optimal solution set of Pareto is obtained by genetic algorithm for the model, and the optimal scheduling scheme is selected based on DM analytic hierarchy process (AHP). An example is given to verify the validity of the proposed model and algorithm.
【作者单位】：华北电力大学电气与电子工程学院;
【基金】：国家自然科学基金(51607068)“面向售电侧开放的主动配电网供电能力多时间尺度建模及优化决策研究”~~
【分类号】：TM73

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