考虑不确定性的区域能源互联网源-荷-储协调优化

能源互联网概念的提出,为综合能源利用方式提出了新的思路。计及可再生能源出力和负荷预测不确定性,考虑区域内发电、储能、需求侧多种调度响应资源,采用多场景随机规划方法建立区域能源互联网的源-荷-储两阶段协调优化模型。日前考虑电价制定,以总社会福利最大为目标,确定第二天电价策略、需求侧响应情况及机组运行计划。日内以总运行成本最小为目标,对日前机组运行计划进行修正。算例证明所提出模型及方法能够充分调动发电侧与需求侧的响应特性,有效实现区域能源互联网系统的协调优化,保证系统的运行经济性和可靠性。

Generation-load-storage Coordinated Optimization for Regional Energy Internet Considering Uncertainties

The conception of energy internet has provided new approach for integrated energy utilization. A two-stage “generation-load-storage” coordinated optimization method for regional energy internets considering renewable energy and load uncertainties is proposed. The day-ahead optimization determines the electricity price, demand response and unit output in the next day with the aim of maximizing the social welfare. In the intraday optimization, the total operating cost is minimized using scenario-based economic dispatch models. Case study shows that the proposed model and method can reduce the operating costs and promote the reliability of the energy internet considering uncertainties.