Abstract:
In order to reduce the uncertainty of demand side response in system scheduling and improve the flexibility of load side response during the integrated energy system operation, a comprehensive energy system optimal scheduling study considering demand response uncertainty and load forecasting error is established. Through the electrical joint demand response, the output of each unit in each period shall be reasonably arranged on the premise of ensuring the stable operation of the IES system. The objective function is transformed into an opportunity function to maximize the probability of event establishment in an uncertain environment by using relevant opportunity programming, so as to solve the model. Through the priority algorithm in multi-objective programming, the multi-objective programming is transformed into single objective programming, PSO algorithm is used to solve this model. The feasibility and economy of the model are verified by the simulation analysis of a practical example.