基于遗传算法的火电厂供水控制系统优化方法研究

Study on the Optimization Method of Water Supply Control System in Thermal Power Plant Based on Genetic Algorithm

供水系统是电厂生产的主要能耗环节之一,提高该系统的能源利用效率能有效提高经济效益。基于此问题,针对传统供水控制系统进行优化改造,以实现响应速度和能耗的均衡性。首先分析了火电厂典型供水系统的拓扑结构,并基于设备运行工况对系统进行建模。其次,针对该典型拓扑和模型结构,研究了遗传算法的可用性,并推理了遗传算法的优化策略。最后,对比了传统PID控制和遗传算法控制策略下的供水系统控制效益。仿真和试验结果表明,基于遗传算法的系统优化可有效提高火电厂供水系统的动态响应速度并降低系统运行功耗。

Water supply system is one of the main energy consumption links of power plant production,and improving the energy efficiency of the system can effectively improve economic efficiency.Based on this problem,the traditional water supply control system is optimized to achieve a balanced response rate and energy consumption.Firstly,the topological structure of the typical water supply system of thermal power plant is analyzed,and the system is modeled according to the operating conditions of the equipment.Secondly,in view of the typical topology and model structure,the availability of genetic algorithm is studied,and the optimization strategy of genetic algorithm is inferred.Finally,the water supply system control benefits under the traditional PID control and genetic algorithm control strategy are compared.The simulation and experimental results show that the system optimization based on genetic algorithm can effectively improve the dynamic response speed of the water supply system of thermal power plant and reduce the operating power consumption of the system.