An Energy Management Optimization Method for Community Integrated Energy System Based on User Dominated Demand Side Response

With the development of integrated energy systems (IES), traditional demand response technologies for single that do not take customer satisfaction into account have been unable to meet actual needs. Therefore, it is urgent study (IDR) technology energy, which considers consumers’ willingness participate in IDR. This paper proposes an management optimization method community IES based on user dominated side (UDDSR). Firstly, responsive power loads and thermal are modeled, aggregated using UDDSR bidding optimization. Next, modeled building model introduced measure temperature requirements entire users heating. Then, a day-ahead scheduling proposed realize Finally, penalty mechanism punish participants causing imbalance against IDR bids, conditional value-at-risk (CVaR) theory enhance robustness under different prediction accuracies. The case demonstrates can reduce operating cost premise fully considering users’ willingness, complete request initiated by grid operator or dispatching department.