Multi-Objective Optimization Configuration Of Multi-Energy Complementary Park Integrated Energy Supply Center Considering Electric Gas Conversion Planning

This paper comprehensively considers the economic, environmental and reliability impacts of energy supply systems and establishes a two-level multi-objective optimization configuration model for multi-energy complementary park integrated energy systems with multiple energy supply equipment. The upper layer has the minimum annual cost as the objective function; the lower layer has the lowest annual operating cost, the highest annual energy supply reliability and the best DG output characteristics as the objective function. The improved immune genetic algorithm based on fuzzy membership and variance weighting is used to solve the model nested. The conclusion shows that the correctness and validity of the model and algorithm.