The impact of multiple uncertainties of renewable energy power output on the safe and economic operation of the system has become a problem that needs to be solved urgently for the high proportion of renewable energy integrated energy system mainly based on wind and light.On the basis of the constructed day-ahead scheduling model,based on the probabilistic prediction model of renewable energy power generation,by taking its prediction confidence as the decision variable,and introducing three evaluation indexes,namely,economy,wind turbine and photovoltaic unit power overrun penalties,a day-ahead scheduling method with multi-objective optimization on the outer layer and two-stage robust optimization on the inner layer is proposed.The simulation results show that the day-ahead scheduling plan can be obtained by optimizing the confidence level of the renewable energy generation power probability prediction model,which takes both robustness and economy into account.The method can fully consider the impact of multiple uncertainties of renewable energy sources on the day-ahead scheduling plan,and provide guidance for the safe and efficient operation of an integrated energy system containing a high proportion of renewable energy sources.
关键词
高比例可再生能源/综合能源系统/多能耦合/日前优化调度/多目标优化/不确定性
Key words
High percentage of renewable energy/Integrated energy system/Multi-energy coupling/Day-ahead optimal scheduling/Multi-objective optimization/Uncertainty
维普
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