Optimized PI+ load–frequency controller using BWNN approach for an interconnected reheat power system with RFB and hydrogen electrolyser units. (May 2015)

• Record Type: Journal Article
• Authors: Francis, R.; Chidambaram, I.A.
• Is Part Of: International journal of electrical power & energy systems. Volume 67(2015:May)
• Page Start: 381
• Page End: 392
• Publication Date: 2015-05
• Subjects: Load frequency control -- PI+ controller -- Control Performance Standard (CPS) -- Hydrogen generative Aqua Electrolyser (HAE) -- Redox Flow Battery (RFB) -- Beta Wavelet Neural Network (BWNN); Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2014.12.012
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: Two-area interconnected power system is considered for the study. Control Performance Standard based Proportional-Integral controllers are designed. PI and PI+ controllers are designed using Beta Wavelet Neural Network approach. Redox Flow Battery Hydrogen generative Aqua Electrolizer are added for investigation. PI+ controller improves the dynamic quality of power system with Aqua Electrolizer. Abstract: This paper investigates a renewable energy resource's application to the Load–Frequency Control of interconnected power system. The Proportional-Integral (PI) controllers are replaced with Proportional-Integral Plus (PI+) controllers in a two area interconnected thermal power system without/with the fast acting energy storage devices and are designed based on Control Performance Standards (CPS) using conventional/Beta Wavelet Neural Network (BWNN) approaches. The energy storing devices Hydrogen generative Aqua Electroliser (HAE) with Fuel cell and Redox Flow Battery (RFB) are incorporated to the two area interconnected thermal power system to efficiently damp out the electromechanical oscillations in the power system because of their inherent efficient storage capacity in addition to the kinetic energy of the generator rotor, which can share the sudden changes in power requirements. The system was simulated and the frequency deviations in area 1 and area 2 and tie-line power deviations for 5% step- load disturbance in area 1 are obtained. The comparison of frequency deviations and tie-line power deviations of the two area interconnected thermal power system with HAE and RFB designed with BWNN controller reveals that the PI+ controller designed using BWNN approach is found to be superior than that of output response obtained using PI+ controller. Moreover the BWNN based PI+ controller exhibits a better transient and steady state response for the interconnected power system with Hydrogen generative Aqua Electroliser (AE) unit than that of the system with Redox Flow Battery (RFB) unit.