大量新能源并入电网,对水电的运行提出了更高的要求.为了提高水电的调节特性,提出一种考虑综合调节特性的水轮机调速器比例积分微分(proportional integral derivative,PID)控制参数整定方法.首先,基于特征线法和水轮机特性曲线建立了水轮机调节系统模型.其次,基于第三代非支配排序遗传算法(non-dominated sorting genetic algorithm Ⅲ,NSGA-Ⅲ),以转速的时间乘绝对误差积分准则(integrated time and absolute error,ITAE)和超调量为目标,以比例调节系数,积分调节系数和微分调节系数为决策变量,得到帕雷托(Pareto)解集.最后,基于优劣解距离法(technique for order preference by similarity to ideal solution,TOPSIS),以增减负荷工况下的功率反调,超调量,稳定时间,机组水头极值,转速ITAE和超调量为指标,最终得到综合调节特性最好的PID参数.结果表明:该PID参数整定方法可以有效提升水轮机的综合调节特性,为实际工程中PID参数的选取提供理论依据.
PID Parameter Tuning Method for Hydraulic Turbine Governor Based on NSGA-Ⅲ and TOPSIS
The integration of a large number of new energy sources into the power grid has put higher demands on the operation of hydropower.To improve the regulation characteristics of hydropower,a parameter tuning method was proposed for proportional integral differential(PID)control of hydraulic turbine governor,considering the comprehensive regulation characteristics.Firstly,the hydraulic turbine regulation system model was established based on the method of characteristic and the hydraulic turbine characteristic curve.Secondly,using the non-dominated sorting genetic algorithm Ⅲ(NSGA-Ⅲ),Pareto solution sets were obtained by targeting the integrated time and absolute error(ITAE)and the overshoot of the rotational speed.The proportional,integral,and differential adjustment coefficients were used as decision variables.Finally,based on the technique for order preference by similarity to ideal solution(TOPSIS),the PID parameters with the best comprehensive regulation characteristics were finally obtained by taking the power inversion,power overshoot,power stabilization time,unit water head pole,rotational speed ITAE and rotational speed overshoot as the indexes for the load increase/decrease condition.The results show that the PID parameter tuning method can effectively improve the comprehensive regulation characteristics of the hydraulic turbine and provide a theoretical basis for the selection of PID parameters in the actual project.
hydraulic turbine regulation systemnon-dominated sorting genetic algorithm(NSG A)technique for order preference by similarity to ideal solution(TOPSIS)proportional integral derivative(PID)parameter optimizationhydraulic turbine
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维普
