考虑源-荷不确定性的矿山综合能源系统多时间尺度区间优化调度

Multi-time-scale interval optimal dispatch of coal mine integrated energy system considering source-load uncertainty

在高能耗矿山综合能源系统中,为减小乏风、瓦斯、矿井涌水等伴生能源、可再生能源、负荷不确定预测误差对系统的影响,提出考虑源-荷预测不确定性的矿山综合能源系统多时间尺度区间优化调度策略.首先,构建含可再生能源、矿山伴生能源、光热电站的矿山综合能源系统架构;其次,根据电-热响应特性和源-荷不确定性在时间上的差异,建立日前-日内-实时多时间尺度区间优化调度模型.在日前和日内优化阶段,利用区间数描述源-荷不确定性,并通过区间优化方法对伴生能源和可再生能源的实际消纳区间进行优化;日内优化在日前优化的基础上,综合考虑建筑用户热舒适度的模糊性、供热系统的热惯性及热水负荷需求响应调整各设备出力;在实时优化阶段,考虑电负荷需求响应对日内电力设备出力进行修正.最后,通过算例分析验证所提模型和方法的可行性.

In coal mine integrated energy system(CMIES)with high energy consumption,to reduce the impact of the coal mine associated energys(CMAEs),renewable energy and load uncertainty prediction error on the system,a multitime-scale interval optimal dispatch strategy for CMIES considering the source-load uncertainty is proposed.Firstly,the architecture of CMIES including renewable energy,CMAEs,concentrating solar power is constructed.Secondly,according to the time difference of the electricity-thermal response and the prediction errors of uncertain parameters,a multi-time-scale interval scheduling model is established.Interval mathematics is used to describe the uncertainty parameters,and the actual absorption power range of CMAEs and renewable energy are solved by interval optimization in the day-ahead and intraday dispatch.Based on day-ahead dispatch,the ambiguity of user comfort,thermal inertia and hot water load demand response(DR)are comprehensively considered to adjust the output power of equipment in the intraday dispatch.The electrical load DR is considered to revise the output power of electric equipment in the real-time dispatch.Finally,the feasibility of the proposed model and method is proved by example analysis.