Chance-constrained Two-stage Energy Hub Cluster Configuration for Integrated Demand Response Considering Multi-energy Load Uncertainty

In this paper, we study the configuration problem of Energy Hub cluster for integrated demand response (IDR) while considering multi-energy load (i.e., electricity/heat load) uncertainty. We first present a chance-constrained two-stage model for energy hub cluster configuration based on bilinear reformulation using a finite number of stochastic scenarios. Then, bilinear terms are exactly linearized to derive a mixed integer linear programming (MILP) model. Finally, the bilinear Benders decomposition (BBD) algorithm is utilized to compute the proposed MILP model. Numerical results demonstrate that our proposed model can effectively manage the multi-energy load uncertainty for energy hub cluster configuration and improve the performance of IDR. BBD algorithm is also computationally efficient than commercial solvers (such as CPLEX).