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Optimal Planning of Integrated Energy System Considering Multi-energy Substitutions and Shifts

In the context of electric energy substitution, we propose an integrated energy system (IES) planning model that considers integrated demand response. In this model, the incentive demand response and multi-energy substitution are considered at the same time, as well as the nonlinear response cost function. We use dist-flow and piecewise linearization to linearize Weymouth equation and response cost function. Finally, a mixed integer linear programming (MILP) model is established, which can be solved directly by Gurobi or CPLEX. Case studies have shown that multi-energy substitution can effectively reduce the total cost of the system and promote peak-shaving and valley-filling of the electric load curve. Under such effects, multi-energy Substitution can recover equipment investment subsidies within a limited time, and has good application prospects.