电—气互联综合能源系统多时间尺度动态优化调度

Dynamic Optimal Dispatch with Multiple Time Scale in Integrated Power and Gas Energy Systems

对于时空相关的天然气管存,应用多时间尺度/模型预测控制尤为重要。计及天然气管网的慢动态特性,考虑暂态天然气系统变量存在时段耦合的特性,提出了基于模型预测控制的多时间尺度优化调度策略,使机组有功出力和气源产气控制过程更为平滑。其中,以日前优化调度得到的有功出力值和产气量为参考值,基于模型预测控制,进行日内多时段滚动优化。最后,对修改的IEEE 24节点电力系统和比利时20节点天然气系统进行算例分析,验证了所提优化调度方法的可行性以及有效性,并分析了气网管存对电—气互联综合能源系统运行的影响。

Aimed at spatio-temporal correlation of natural gas line-pack, it is significant to use multiple time scale and model predictive control. Considering the slow dynamic characteristics of natural gas pipeline network and the time interval coupling effect of transient variables of natural gas system, a multiple time scale optimal scheduling strategy based on model predictive control is proposed, which makes the control process of computing the active power outputs and gas production by gas resource more smoothly. And then, taking the active power output and gas production obtained by day-ahead scheduling as reference values, the multi-step rolling optimization based on model predictive control is carried out in intra-day scheduling. Finally, the modified IEEE 24-node power system and the Belgian 20-node natural gas system are used to verify the feasibility and effectiveness of optimization scheduling strategy, and the influences on the operation of the integrated power and gas energy systems of natural gas line-pack are analyzed.