Dual time scale optimal scheduling of integrated energy system considering dual demand response and stepped carbon trading

Security，stability，low-carbon and clean energy are the main direction of global energy development. How to give full play to the potential of demand-side resource response and reduce the uncertainty of system’s source and load are of the great significance for sustainable energy development. For that，a dual time scale optimal scheduling strategy of integrated energy system（IES） considering the dual demand response and stepped carbon trading mechanism is proposed. Aiming at the schedulable characteristics of electric，thermal and gas loads and the response difference under different time scales，the integrated demand response（IDR） model with dual excitations is proposed. To realize the low-carbon and economic operation of IES，the day-ahead low-carbon optimal scheduling model of IES is established based on the day-ahead price-based IDR strategy and stepped carbon trading mechanism. Considering the impacts of the day-ahead source and load prediction error on the scheduling of IES，the intra-day rolling optimal scheduling model to minimize the sum of energy purchasing cost，output adjustment cost of each equipment，and stepped incentive subsidy cost is established based on the model predictive control and intra-day incentive-based IDR strategy，and CPLEX is adopted to solve the proposed model. The simulative results verify that the proposed model can effectively balance the economic and environmental protection of system while improving its ability to smooth the fluctuation of source and load power. © 2023 Electric Power Automation Equipment Press. All rights reserved.