Stability enhancement of hybrid power systems using RFB based on Craziness PSO

Dwi Lastomo; Atmiasri; Herlambang Setiadi

doi:10.1109/ICSITech.2017.8257108

Stability enhancement of hybrid power systems using RFB based on Craziness PSO

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Dwi Lastomo, Atmiasri, Herlambang Setiadi

2017 Proceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017 Vol. 2018-January Conference paper Cited by 6

Abstract

This paper proposed the application of Craziness Particle Swarm Optimization (CRPSO) to tune Redox Flow Batteries (RFB) parameter to enhance the small signal stability of autonomous hybrid power system. This hybrid power system consists of wind power system and diesel power system. To analyze the small signal stability of autonomous hybrid power system, linear model of the system is used. Eigenvalue and time domain simulation is used to see the dynamic behavior of the conventional system, system with RFB and system with RFB tune by CRPSO. From simulation result, it is found that autonomous hybrid power systems that utilize with RFB and tune by CRPSO have a better result regarding small signal stability. © 2017 IEEE.

Affiliations

Electrical Engineering Department, University of PGRI Adi Buana, Surabaya, Indonesia; School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia

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