基于斐波那契树辨识算法的区域电网调速系统参数辨识

当前电网中单通道输送功率占比较高,电网出现大功率扰动的概率增大,频率稳定问题重新引起人们的关注。针对目前电力系统频率特性仿真准确度不足的问题,引入具有全局和局部交替寻优特点的斐波那契树优化算法,用于区域电网调速系统参数整体辨识。通过限制树的结构深度、调整全局搜索策略等调整,提高全局寻优能力和收敛速度,使算法适用于参数辨识工作,形成斐波那契树辨识算法。基于实测频率响应曲线,运用该算法对区域电网原动机及调速系统参数进行整体辨识,并进行了多算法对比分析。仿真结果表明,斐波那契树辨识算法应用于此领域具有较好的适用性与优越性。

Parameter Identification of Turbine-governor System in Regional Power Grid Based on Fibonacci Tree Identification Algorithm

In the current power grid,the single channel transmission power accounts for a relatively high proportion,which increases the probability of large power disturbance,and the problem of frequency stability has aroused attention of people once more.In view of the insufficient simulation accuracy of frequency characteristics of power system,the Fibonacci tree optimization(FTO)algorithm,which has the characteristics of global and local optimization,is introduced to solve the problem of the overall identification of the speed control system in a regional power grid.The global optimization ability and convergence rate of FTO are improved by limiting the structure depth of the tree and adjusting the global search strategy.The adaptability of the algorithm to parameter identification is improved and the Fibonacci tree identification algorithm is formed.Based on the actual measured frequency response curve,the algorithm is used to identify the parameters of the turbine-governor system of the actual regional power grid.And the comparison and analysis of the multiple algorithms using for this problem are carried out.The simulation results show that the Fibonacci tree identification algorithm has a goodhas good applicability and superiority in this field.