Parameters identification of reduced governor system model for diesel‐engine generator by using hybrid particle swarm optimisation. Issue 9 (9th July 2018)

• Record Type: Journal Article
• Authors: Lin, Chien‐Hung; Wu, Chi‐Jui; Yang, Jun‐Zhe; Liao, Ching‐Jung
• Is Part Of: IET electric power applications. Volume 12:Issue 9(2018)
• Page Start: 1265
• Page End: 1271
• Publication Date: 2018-07-09
• Subjects: 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; Electric power -- Periodicals; Electric power systems -- Periodicals; 621.305
• DOI: 10.1049/iet-epa.2017.0851
• Languages: English
• ISSNs: 1751-8660

Abstract

Abstract : 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.