考虑不确定性的周期性资源购买机制及多时间尺度调峰调度策略

Periodic Demand Response Resource Purchase Mechanism With Uncertainty and Multi-time Scale Peak-shaving Scheduling Strategy

合理的资源购买和有效的调度策略是充分利用需求响应资源向系统提供辅助服务的关键。该文针对电力系统运行中最常出现、影响也较大的辅助服务事件之一--调峰的需求响应资源周期性购买问题和日内调度问题进行研究。首先,对广大调峰事件的调峰需求特征进行聚类,利用概率描述调度中心不同的决策行为,建立周期内调节资源购买的不确定性模型并获取最优调节资源购买量。其次,针对日内调度,结合负荷预测,建立基于滚动优化的多时间尺度能量和功率协调调度策略。大时间尺度上以调度中心调峰经济性最优为目标对调节能量进行分配,小时间尺度上以调峰效果最优为目标对调节功率进行分配。仿真结果表明,所提周期性资源购买决策机制能够有效提升周期内调度中心的平均收益;而日内多时间尺度协调的调峰策略则能够充分利用已购资源,实现调度中心调峰经济性和调峰效果的双赢。

Optimized resource procurement and efficient scheduling strategies are pivotal in harnessing the full potential of demand response(DR)resources to provide ancillary services to the system.This paper studies the periodic purchase of DR resources and daily scheduling of peak-shaving,one of the most frequently occurring and influential ancillary service events in power system operation.First,the characteristics of peak-shaving events are clustered,and the probability is used to describe different decision behavior of the dispatching center.Then,the uncertainty model of periodic DR resource purchase is formulated and the optimal amount of purchased DR resources are obtained.Then,for intra-day scheduling,a multi-time scale energy and power coordination scheduling strategy based on rolling optimization is established with the forecasted load curve.Regulation energy is allocated on larger time scales to maximize the peak-shaving economy of the dispatching center,and regulation power is allocated on smaller time scales to optimize peak-shaving effects.Simulation results show that the periodic resource purchase mechanism can effectively improve the average peak-shaving economy of the dispatching center in a period.Meanwhile,the presented multi-time scale peak-shaving scheduling strategy help to make full use of purchased resources,and further achieve a win-win situation of both economic and effective peak shaving for the dispatching center.