Integrating a superconducting magnetic energy storage system for intelligent control of LFC characteristic in multi-area power system
by S. Zahid Nabi Dar; Mairaj-ud-din Mufti
International Journal of Industrial Electronics and Drives (IJIED), Vol. 4, No. 2, 2018

Abstract: This work exhibits use of adaptive neural control configured genetically tuned PI controller based superconducting magnetic energy storage (SMES) system for enhanced load frequency control (LFC) operation for a three area power system. The suggested scheme for the SMES control is a distinct one, as it overcomes the shortcomings in the contemporary SMES control schemes with automatic adjustment of converter duty ratio. Control in each area is accomplished via a neural estimator and a neural controller online simultaneously. The neural estimator selects the control area dynamics over a functioning zone, this feature leads to pure adaptive control, with modified gain settings obtained by integral square error criterion (ISE). Simulation studies carried out on MATLAB are presented for the power system with steam reheat constraint and governor dead band nonlinearity, after carrying out necessary modelling exercise, which portrays a reduction of 65% and 50% overshoots in frequency and tie-power oscillations respectively.

Online publication date: Wed, 16-May-2018

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