Title: Improved load frequency characteristics with genetically tuned supercapacitor energy storage in interconnected power system

Authors: S. Zahid Nabi Dar; Mairaj-ud-din Mufti

Addresses: Department of Electrical Engineering, NIT Srinagar, India ' Department of Electrical Engineering, NIT Srinagar, India

Abstract: In this article the integration of genetically tuned supercapacitor energy storage system (SCESS) with a three-area power system is focused. The part of governor deadband along with generation rate limit in the event of a pragmatic power system is considered. Every region is joined with a SCES unit. A S-function based predictive control model is additionally fused to it and the voltage loop of SCESS is utilised as feedback. Simulation studies carried in MATLAB SIMULINK environment reflect critically enriched reaction in load-frequency and tie-line power oscillations. The SCESS voltage and power reaction are additionally portrayed.

Keywords: supercapacitor energy storage system; SCESS; load frequency control; LFC; area control error; ACE; new area control error; NACE; genetic algorithm; GA; adaptive generalised predictive control; AGPC.

DOI: 10.1504/IJIED.2018.090406

International Journal of Industrial Electronics and Drives, 2018 Vol.4 No.1, pp.16 - 24

Received: 01 Apr 2017
Accepted: 27 Jun 2017
Published online: 15 Mar 2018 *