Intelligent optimization method of PSS parameters based on grid equivalence

Author

Chai, Jiyong ; Li, Jingxiao ; Zhang, Ying ; Mao, Chengxiong ; Lu, Jiming ; Jiang, Man ; Xu, Youping

Author_Institution

Coll. of Electr. & Electron. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China

fYear

2011

fDate

16-18 Sept. 2011

Firstpage

4818

Lastpage

4821

Abstract

Due to the condition that optimization testing work of power system stabilizer(PSS) parameters is highly man-relied, an intelligent optimization method of PSS parameters based on grid equivalence is proposed. The method improves working efficiency effectively, and guarantees that the optimized PSS parameters approach the global optimum. Using small disturbance data, system excluding the generator is equivalent to infinity bus voltage V_s and system reactance X_s. Linearized Heffron-Philips model of the equivalent system is employed to calculate uncompensated phase lagging characteristic generated by excitation system, then an objective curve of PSS parameters optimization can be obtained. Based on the objective curve, SAPSO is applied to optimize the value of PSS parameters. The example of EPRI-36 system indicates that PSS with optimized parameters can constrain low-frequency oscillations effectively.

Keywords

oscillations; particle swarm optimisation; power system stability; EPRI-36 system; PSS parameters; SAPSO; excitation system; grid equivalence; intelligent optimization method; linearized Heffron-Philips model; low-frequency oscillations; optimization testing work; power system stabilizer; uncompensated phase lagging characteristic; Damping; Employee welfare; Generators; Mathematical model; Optimization; Oscillators; Power system stability; SAPSO; grid equivalence; intelligent parameters optimization; power system stabilizer;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Control Engineering (ICECE), 2011 International Conference on

Conference_Location

Yichang

Print_ISBN

978-1-4244-8162-0

Type

conf

DOI

10.1109/ICECENG.2011.6057702

Filename

6057702