基于可再生能源不确定性的多能源微网调度优化模型

多能源微网可以使综合能源系统在配网/用户端得到实现,但电力系统和天然气系统联合后会使得系统调度中的不确定性问题变得突出。为此,本文通过对电力/天然气系统的物理特性进行分析,基于用户需求响应资源、可再生能源机组出力和负荷不确定性的关键要素分析,建立了多能源微网日前调度优化模型。基于Matlab环境对所建模型进行了相关的计算仿真,验证了两阶段随机优化模型的有效性。仿真结果表明,所建优化模型可以提高多能源微网系统运行的可靠性和经济性,具有较好的实际应用价值。

Research on Scheduling Optimization Model of Multi-energy Micro Grid Based on Uncertainty of Renewable Rnergy

Multi-energy micro grid can realize integrated energy system in distribution network/client, but the combination of power system and natural gas system will make the uncertainty in system scheduling become prominent. Therefore, based on the analysis of the physical characteristics of the power/natural gas system and the analysis of the key factors of user demand response resources, renewable energy unit output and load uncertainty, a day-ahead scheduling optimization model of multi-energy micro grid is established in this paper. Based on the Matlab environment, the simulation results show that the two-stage stochastic optimization model is effective. The simulation results show that the proposed optimization model can improve the reliability and economy of multi-energy micro-grid system, and has good practical application value.