Multi-objective Optimization of Electric-gas-thermal Integrated Energy System Based on Non-dominant Sorting Genetic Algorithm

With the development of the times, human society has put forward higher requirements on how to dispatch energy. In order to consider economic factor and environment factor, this paper proposed a dispatching plan with multi-objections promotion based on integrated energy system (IES). This system is composed of three parts, energy input part, energy transform part and energy output part. Based on the system above, economic objective function and environmental objective function are constructed. And then, we use non-dominant sorting genetic algorithm (NSGA-II) with elite strategy to calculate the pareto front of objection functions. As a result, economic factors and environmental factors are considered at the same time, energy utilization efficiency is the highest. And the rationality of the model is verified by case.