Design of robust modified power system stabilizer for dynamic stability improvement using Particle Swarm Optimization technique

• Published in: Ain Shams Engineering Journal Vol. 10; no. 4; pp. 769 - 783
• Main Authors: Dasu, Butti, Siva Kumar, Mangipudi, Srinivasa Rao, Rayapudi
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.12.2019; Elsevier
• Subjects: Eigenvalues; Modified Heffron-Phillips model; P-I-D controller; Particle Swarm Optimization; Power system stabilizer; Small signal stability; Eigenvalues; P-I-D controller; Modified Heffron-Phillips model; Power system stabilizer; Particle Swarm Optimization; Small signal stability
• ISSN: 2090-4479
• DOI: 10.1016/j.asej.2019.07.002

•Power System Stabilizer (PSS) is designed for a modified Heffron-Phillips model which is developed by taking transformer secondary bus voltage at generator side as reference, instead of infinite bus voltage.•Particle Swarm Optimization (PSO) algorithm is used to tune the parameters of PSS and gain settings of the PID controller.•Robustness of the proposed technique is tested by taking several operating conditions under two typical disturbance conditions. The efficacy of the proposed technique is demonstrated with Eigen value analysis. This paper presents a novel method for designing robust Power System Stabilizer (PSS) using Particle Swarm Optimization (PSO) technique to improve the dynamic stability of the power system. Modified Heffron-Phillip’s model is developed by considering the generator side transformer voltage as the reference instead of considering the infinite bus voltage as the reference to reduce the complexity and computational time. Using this MHP model, a power system stabilizer called Modified Power System Stabilizer (MPSS) is developed and integrated with P-I-D controller using PSO (PSO-P-I-D-MPSS) on a Single Machine Infinite Bus System. PSO algorithm is used to determine the gain settings of the P-I-D-MPSS. The developed PSO-P-I-D-MPSS is simple to implement and will be a better alternative to the conventional or evolutionary based PSSs. The efficacy of the proposed PSO-P-I-D-MPSS is validated by the application of proposed stabilizer to a benchmark system for several operating conditions under various disturbances. The results clearly show that the proposed stabilizer improves the dynamic stability of the power system under wide range of operating conditions.