基于免疫粒子群算法的水轮机机组供水系统节能控制方法

传统供水系统节能控制方法忽略了对水轮机状态的监控，导致在降低系统能耗的同时，供水过程出现机组运行不稳定问题，为此，设计基于免疫粒子群算法的水轮机机组供水系统节能控制方法。利用T-S模糊模型构建供水系统数学模型。采用模糊神经网络结构作为新型节能控制的设计原理，设计新的节能控制器。通过免疫粒子群算法实现供水系统的整体控制，降低供水系统能源消耗，完成基于免疫粒子群算法的水轮机机组供水系统节能控制方法的设计。仿真实验结果表明：所提控制方法应用后，供水系统的能源消耗明显降低，且水轮机机组供水运行稳定性得到了提升，应用效果较为理想。

Energy Saving Control Method for Water Supply System of Hydraulic Turbine Unit Based on Immune Particle Swarm Optimization Algorithm

The traditional energy-saving control method of water supply system neglects the monitoring of the turbine state, which leads to the unstable operation of the unit during the water supply process while reducing the energy consumption of the system. In view of this situation, an energy saving control method of water supply system based on immune particle swarm optimization (PSO) is designed. The mathematical model of water supply system is established by T-S fuzzy model. The fuzzy neural network structure is used as the design principle of the new energy saving control and a new energy saving controller is designed. Through the immune particle swarm algorithm to achieve the overall control of the water supply system, reduce the energy consumption of the water supply system, complete the design of energy saving control method based on the immune particle swarm algorithm of the water supply system of the turbine unit. The simulation results show that the energy consumption of the water supply system is significantly reduced after the proposed control method is applied, and the water supply operation stability of the turbine unit is improved, and the application effect is relatively ideal.