基于遗传算法的混合供能系统

针对充分有效使用各种能源的问题,提出了一种基于遗传算法的混合供能系统.该系统能根据全天电负荷和热力负荷的实时变化来调度火力发电厂、风力发电机、光伏发电机和燃气轮机的使用,利用遗传优化算法求解在系统经济使用最小的情况下,电-气-热混合供能系统的各组件运行状态.基于IEEE14节点网络的仿真与测试结果表明,所提出的优化方法和供能系统可以有效解决电-气-热混合功能系统的优化调度问题,保证能源互联网络的经济运行.

Hybrid energy supply system based on genetic algorithm

Aiming at the problem of sufficient and effective utilization of various energy sources, a hybrid energy supply system based on the genetic algorithm was proposed. The system could schedule the utilization of thermal power plants, wind turbines, photovoltaic generators and gas turbines, according to the real-time changes of all-day electrical and thermal loads. In addition, the operating status of various components of electro-gas-thermal hybrid energy supply system was solved with the genetic optimization algorithm, under the condition of minimal economic involvement of system. The simulation and test results based on the IEEE14 node network show that the as-proposed optimization method and energy supply system can effectively solve the optimal scheduling problem of electro-gas-thermal hybrid energy supply system and ensure the economic operation of energy interconnection network.