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Design of MI fuzzy PID controller optimized by Modified Group Hunting Search algorithm for interconnected power system

Abstract

This paper is validated the multi inputs (two inputs) fuzzy PID (MIFPID) controller as automatic generation control (AGC) over two disparate consolidation of single input FPID (SIFPID-1 and SIFPID-2) controller for a two area interconnected power system. The objective function is formulated by concerning undershoot, overshoot, and settling time of frequency and tie-line power deviation of the power system by implementing two different SIFPID and MIFPID controllers individually as AGC in each area. Modification of Group Hunting Search optimization (MGHS) is proposed to optimize the gain parameters of controllers to minimize the multi-objective problem with constraint. All the performances of these controllers as AGC are examined by implementing a load disturbance of 1% (0.01 p.u.) in area-1. Finally, MIFPID controller optimized by MGHS algorithm contributes better performance in the proposed system.

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Correspondence to Jyoti Ranjan Nayak.

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Proceedings of the 1st International Conference on Recent Innovations in Electrical, Electronics and Communication Systems (RIEECS 2017).

Appendices

Appendix 1 (power system parameters)

Kp1 = Kp2 = 120 HZ/p.u. MW,

TP1 = TP2 = 20 s, B1 = B2 = 0.4249;

R1 = R2 = 2.4 HZ/p.u. MW; Tg = 0.08 s;

Tt = 0.3 s; T1 = 41.6 s; T2 = 0.513 s;

TR = 5 s; TW = 1 s; T12 = 0.0866;

D1 = D2 = 8.333 × 10−3 p.u. MW/Hz.

Appendix 2 (assumptions of algorithms)

HGCR = 0.3; Ramax = 0.0001; Ramin = 1×10−6.

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Nayak, J.R., Shaw, B., Das, S. et al. Design of MI fuzzy PID controller optimized by Modified Group Hunting Search algorithm for interconnected power system. Microsyst Technol 24, 3615–3621 (2018). https://doi.org/10.1007/s00542-018-3788-3

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