Robust Optimal Scheduling of Multi Energy Microgrid with Multiple Scenarios and Uncertainties
The uncertain factors in multi energy microgrids pose severe challenges to the operation and scheduling of the system,and traditional typical days or seasons are no longer sufficient to meet current operational needs.This article uses Latin hypercube scene generation and k-means clustering reduction method to discretize wind and solar power output and load,and generate multiple scenarios and probabilities.Based on the adjustment characteristics of relevant variables,a Robust Optimization(RO)scheduling model for multi scenario and multi uncertainty electric hydrogen multi energy microgrids is constructed by fully thinking about the uncertainty of source load and possibility in various situations during the modeling process.By effectively restraining the source load output and prospect odds in every scenario through confusion converge,and decoupling and improving the solving speed through C&CG algorithm,KKT equivalent condition,and big M method,the operation scheduling results of the worst scenario under multiple scenarios and uncertainties are obtained.The effectiveness of the model is verified through numerical examples.
uncertaintyRO schedulingmulti energy microgridC&CG algorithm
万方数据
维普
