多时间尺度需求侧响应模型及其电价定价策略

Multi-time scale demand response side model and its electricity priceing strategy

新电改通过在售电侧引入竞争机制,使得电价能够反映成本与供求关系,对需求侧响应的实施带来积极影响,但其电价如何制定是电力市场各方较为关注的核心问题。在传统利用电力价格弹性矩阵建立的短期需求侧响应模型基础上,综合考虑短期和中长期需求特性,提出了多时间尺度需求侧响应模型。并以最大限度地减小总负荷中峰谷负荷差异为优化目标,利用粒子群算法,提出了需求侧响应电价定价策略。利用MATLAB对IEEE-30节点配电网进行了仿真分析,结果验证了所提出的需求侧响应模型和定价策略的可行性和有效性,为新电改后需求侧响应机制的推广应用提供了理论参考。

The new power reform introduces a competitive mechanism on the power selling side, so that the electricity price can reflect the relationship between cost and supply and demand. It has a positive impact on the implementation of the demand side response, but how to formulate its electricity price is a core issue to all parties in the power market. In this paper, a multi-time scale demand side response model that accounts for short-term and long-term demand characteristics is established. The short-term demand response and medium-long-term demand response are combined by the electricity price elasticity matrix. The objective of optimization is to minimize the peak-valley load difference in the total load, and particle swarm optimization is adopted as the optimization algorithm. The pricing strategy of demand side response price is proposed. The simulation results of IEEE-30 node distribution network show the feasibility and effectiveness of the proposed demand side response model and pricing strategy. The research of this paper will provide technical support for the application of demand side response mechanism after the new electric power reforms.