基于DSM的峰谷时段划分及分时电价研究

峰谷分时电价是现阶段一种有效的需求侧管理(DSM)手段，有利于削峰填谷，其效果依赖于科学的峰谷时段划分和合适的分时电价。基于负荷曲线分布分析，利用模糊半梯度隶属度函数方法，从负荷曲线上各点分别处于峰时段和谷时段的可能性入手，提出了一种含有用户对分时电价反应度分析的分时电价模型，通过对该模型需求侧管理的目标函数进行优化，得到了最优化的峰谷时段划分及其相应的分时电价定价方法。对一个算例进行了仿真、分析，说明了此种方法的可行性。

RESEARCH OF PEAK AND VALLEY TIME PERIOD PARTITION APPROACH AND TOU PRICE ON DSM

Time-of-use (TOU) tariff is one of the most efficient measures for modern demand side management (DSM). It is beneficial to flat the load curve if the peak and valley time periods are partitioned appropriately.Based on the analysis of the possible point-wise peak-valley distributions of load curves via fuzzy semi-gradient subordinate degree function method, a TOU price model is proposed in this paper in consideration of the response-model of various users on demand side.A new approach of peak-valley time-period partitioning and TOU tariff setting is thus presented by optimizing the TOU price model as above of the performance function in DSM.The numerical simulation results show that the new method is feasible and reasonable. This projects is supported by National Science Foundation of China(No.60074007) ,Excellent Young Teachers Program of MDE of China and Foundation for University Key Teacher by the Ministry of Education.