A Multi-Objective Optimization Planning of Park-level Integrated Energy System Based on Two-tier Planning Model

A two-tier planning model is presented for multi-objective optimization planning in the park-level Integrated Energy System (IES) for the complementary coupling of electricity, heat and gas, to determine the optimal capacity of the device and the corresponding operating plan for the system, while taking into account constraints like multi-energy supply and demand, equipment capacity, and energy pipeline transmission loss. Such optimization is to minimize the system annualized investment cost, the operation cost and the carbon emission, by way of the weight coefficient method. The whale optimization algorithm is used to model the upper optimization, while the MATLAB/YALMIP/ GUROBI joint solver is used to model the lower optimization. The obtained results show that the IES gives full play to the complementary coupling between various energy forms. Compared with the traditional independent energy supply mode, IES performs better in economy and environmental protection.