Parameters identification of reduced governor system model for diesel-engine generator by using hybrid particle swarm optimisation

被引：10
|
作者：
Lin, Chien-Hung [1 ]
Wu, Chi-Jui [1 ]
Yang, Jun-Zhe [2 ]
Liao, Ching-Jung [3 ]
机构：
[1] Natl Taiwan Univ Sci & Technol, Dept Elect Engn, Taipei, Taiwan
[2] I Shou Univ, Dept Elect Engn, Kaohsiung, Taiwan
[3] Taiwan Power Co, Power Res Inst, Taipei, Taiwan
来源：
IET ELECTRIC POWER APPLICATIONS | 2018年 / 12卷 / 09期
基金：
美国国家航空航天局;
关键词：
power generation control; diesel-electric generators; distributed power generation; diesel engines; particle swarm optimisation; power system stability; reduced order systems; power system identification; parameters identification; reduced-order governor system model; diesel-engine generators; hybrid particle swarm optimisation; island power system; reduced-order model; ROM; hybrid PSO; governor control systems; stability analysis; PSS; E;
D O I：
10.1049/iet-epa.2017.0851
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This study presents an approach to build a reduced-order model (ROM) for the governor control systems of diesel-engine generators in an island power system. The hybrid particle swarm optimisation (PSO) is used in the parameter identification of the ROM. The reduced-order governor system model could be a useful and feasible model in the stability analysis of the island power system by using power system simulator for engineering. The results of the ROM and a sixth-order model have been compared. It is found that the ROM with the parameter values identified using the hybrid PSO is robust. Moreover, real-case validation of the ROM shows that it is usable to analyse stability and contingency in the power system.
引用
收藏
页码：1265 / 1271
页数：7
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