Multi-energy complementary heat supply system capacity optimization configuration method based on genetic algorithm

The invention discloses a multi-energy complementary heat supply system capacity optimization configuration method based on a genetic algorithm, which adopts a multi-objective optimization algorithm based on the genetic algorithm, and takes the annual comprehensive energy efficiency ratio of the multi-energy complementary heat supply system and the annual cost value of the multi-energy complementary heat supply system as objective functions. According to the method, the Pareto optimal solution set of the multi-objective optimization problem is solved by simulating natural selection and a genetic mechanism, and the globally optimized system optimal configuration is obtained, so that the purpose of optimizing and improving the system configuration is achieved, the energy utilization efficiency is improved, and the cost is reduced. 本发明公开了一种基于遗传算法的多能互补供热系统容量优化配置方法，即采用基于遗传算法的多目标优化算法，以多能互补供热系统全年综合能效比和多能互补供热系统费用年值为目标函数，通过模拟自然选择和遗传学机理来求解多目标优化问题的Pareto最优解集合，得到全局优化的系统最优配置，以达到优化改进系统配置的目的，既提高了能源利用效率又降低了成本。