考虑动态特性的IES多时间尺度优化运行方法

Multi-time Scale Optimal Operation Method of IES Considering Dynamic Characteristics

为降低供能系统供需能量不匹配程度,提出考虑设备动态特性的综合能源系统多时间尺度优化方法。该策略在日前、日内、实时三个时间尺度构建优化调度模型,在日前阶段柔性满足负荷需求,并在日内阶段基于设备动态特性建立“慢响应”设备爬坡/下降优化模型。结果表明:考虑设备动态特性进行爬坡/下降优化可有效降低设备实时出力波动;考虑设备动态特性的多时间尺度优化策略下,冬、夏季典型日的电网交互功率分别降低9.69%和15.49%,日运行成本分别降低4.24%和3.24%,有效削减了源–荷预测误差对系统运行的影响;日前优化考虑负荷裕度可以降低设备出力相对调整率,延长设备使用寿命,同时系统冬、夏季典型日的日运行成本分别降低3.54%和6.47%,具有较好的经济性。

In order to reduce the degree of energy mismatch between supply and demand in energy supply system,a multi-time scale optimization method of integrated energy system considering the dynamic characteristics of equipment is proposed.This strategy constructs an optimal scheduling model in three time scales:day-ahead,day-in and the real-time.The load demand is flexibly met in day-ahead stage,and a climbing/descending optimization model of“slow response”equipment is established based on the dynamic characteristics of equipment in day-in stage.The results show that climbing/descending optimization considering the dynamic characteristics of equipment can effectively reduce the real-time output fluctuation of equipment;Under the multi-time scale optimization strategy considering the dynamic characteristics of equipment,the grid interactive power in winter and summer typical days are reduced by 9.69%and 15.49%respectively,and the daily operating cost are reduced by 4.24%and 3.24%respectively,which effectively reduces the influence of source-load forecasting error on system operation;Considering the load margin in the day-ahead optimization stage can reduce the relative adjustment rate of equipment output,which prolongs the service life,and the daily operation cost of the system in winter and summer typical days are reduced by 3.54%and 6.47%respectively,which has good economy.