MULTI-OBJECTIVE ROBUST OPTIMIZATION PLANNING FOR INTEGRATED ENERGY SYSTEM CONSIDERING UNCERTAINTIES OF SOURCE AND LOAD

A multi-objective robust optimization planning method for integrated energy systems is proposed to address uncertainties in renewable energy output and multi-energy loads. Based on the integrated energy system structure, a planning optimization model was formulated with two objectives under carbon neutrality : minimizing annualized total lifecycle costs and carbon emissions. By characterizing uncertainties on both the source and load sides through duality transformation, a multi-objective robust optimization model was established. A crowding degree-based constraint generation algorithm combining heuristic search and constraint methods was developed to solve the optimal planning scheme for IES. Case studies validate the correctness and effectiveness of the proposed method.