考虑源荷不确定性及用户侧需求响应的综合能源系统多时间尺度优化调度

Multi-time scale optimal dispatch of integrated energy systems considering source-load uncertainty and user-side demand response

针对能源系统源荷不确定性及设备功率波动的问题,提出一种考虑源荷不确定性和用户需求响应的综合能源系统多时间尺度优化调度策略。首先,根据源荷各自特性,分别运用鲁棒优化方法和随机优化方法来处理源荷不确定性问题。其次,基于电、热和气负荷在不同时间尺度下的调度特点和响应差异,设计对应不同时间尺度的需求响应模型,并建立日前—日内两阶段的多时间尺度优化模型,以购能成本、系统运行成本、碳排放成本最小为日前调度目标,在日内调度阶段进一步考虑设备调节惩罚和削减补贴需求响应费用。最后,通过算例验证该模型和方法,在考虑源荷不确定性和需求响应的情况下,所提方法能够发挥多能源互补优势,有效促进能源供需平衡,降低源荷不确定性对综合能源系统的影响。

A multi-timescale optimal scheduling strategy for integrated energy system considering source-load uncertainty and user demand response is proposed to address the problems of source-load uncertainty and equipment power fluctuation in the energy system.First,according to the respective characteristics of the source and load,the robust optimization method and the stochastic optimization method are used to deal with the uncertainty of the source and load.Second,based on the scheduling characteristics and response differences of electricity,heat and gas loads in different time scales,a demand response model corresponding to different time scales is designed,and a multi-timescale optimization model is developed for the day-ahead and intraday phases,with the day-ahead scheduling objective of minimizing the cost of purchasing energy,the system operating cost,and the cost of carbon emission,and the intraday scheduling phase further considers the penalty of equipment regulation and the reduction of subsidy demand response costs.Finally,the model and methodology are validated through examples,and under the consideration of source-load uncertainty and demand response,the proposed methodology is able to take advantage of the complementary advantages of multiple energy sources,effectively promote the balance of energy supply and demand,and reduce the impact of source-load uncertainty on the integrated energy system.