分时电价是需求侧管理的一项重要手段,如何最大程度地激发用户对价格的响应是分时电价政策的关键。采用模糊聚类方法对峰谷时段进行重新划分,利用用户电力需求价格弹性矩阵,考虑尖峰电价的影响,从而进一步激励用户改变其用电行为,达到削峰填谷、平滑负荷曲线的目的。最后,通过算例仿真验证所提模型及方法的有效性。 Time-of-use electricity price is an important means of DSM, and how to stimulate user’s response to price to the maximum extent is the key of TTI policy. The fuzzy clustering method is used to re-divide the peak-to-valley period. The price elasticity matrix of users’ electricity demand and the impact of peak electricity price are used to further motivate users to change their electricity consumption behavior so as to achieve peak load shifting and smooth load curve. Finally, the effectiveness of the proposed model and method is verified by an example simulation.