A Parameter Identification Algorithm for Turbine-governor System in Regional Power Grid

被引：0
|
作者：
Chang Da [1 ]
Zhang Wenchao [2 ]
Sheng Siqing [1 ]
Li Yiqun [3 ]
Luo Yazhou [3 ]
Ke Xianbo [4 ]
机构：
[1] North China Elect Power Univ, Sch Elect & Elect Engn, Baoding, Peoples R China
[2] Beijing Kedong Power Control Syst Ltd Liabil Co, Beijing, Peoples R China
[3] State Grid Corp China, North China Branch, Beijing, Peoples R China
[4] Northwest China Grid Co Ltd, Xian, Shaanxi, Peoples R China
来源：
2018 2ND IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2) | 2018年
关键词：
FTO algorithm; turbine-governor system; parameter identification; frequency response characteristics;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper, the Fibonacci tree optimization (FTO) algorithm is introduced to solve the problem of the overall parameter identification of the turbine-governor system in the regional power system. The Fibonacci tree optimization algorithm has the characteristics of global and local optimization. When using for parameter identification, the global optimization ability and convergence rate of FTO are improved by weakening the multi-peak optimization of the algorithm. It can improve the adaptability of the algorithm to parameter identification. Based on frequency response curve of a simulation regional power system, the algorithm is used to identify the parameters of the simulation turbine-governor system of the regional power grid. The results of simulation show that the FTO algorithm has a good performance using for parameter identification.
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页数：5
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