Fuzzy PID Tuned by a Multi-Objective Algorithm to Solve Load Frequency Control Problem

In this paper, a fuzzy PID with new structure is proposed to solve the load frequency control in interconnected power systems. In the structure of fuzzy PID, four gains are adjusted by a multi-objective algorithm. The genetic algorithm (GA) is used to generate the Pareto front. The best compromise solution from the obtained Pareto set is then chosen by a Fuzzy-based approach. In addition, we suggest a new control strategy based on the fuzzy PID for the LFC problem. The simulation results show that the frequency and tie-line power flow deviations are effectively damped and settling time in responses is considerably reduced.

[1]  Chang Chieh Hang,et al.  Parallel structure and tuning of a fuzzy PID controller , 2000, Autom..

[2]  Wen Tan,et al.  Unified Tuning of PID Load Frequency Controller for Power Systems via IMC , 2010, IEEE Transactions on Power Systems.

[3]  H. Shayeghi,et al.  A robust mixed H2/H∞ based LFC of a deregulated power system including SMES , 2008 .

[4]  Young-Hyun Moon,et al.  Improvement of system damping by using the differential feedback in the load frequency control , 1999, IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233).

[5]  Hadi Saadat,et al.  Power System Analysis , 1998 .

[6]  Zakariya Al-Hamouz,et al.  Optimal design of a sliding mode AGC controller: Application to a nonlinear interconnected model , 2011 .

[7]  Sidhartha Panda,et al.  Multi-objective evolutionary algorithm for SSSC-based controller design , 2009 .

[8]  Sakti Prasad Ghoshal,et al.  Comparative performance evaluation of SMES–SMES, TCPS–SMES and SSSC–SMES controllers in automatic generation control for a two-area hydro–hydro system , 2011 .

[9]  Shengwei Mei,et al.  Optimal load-frequency control in restructured power systems , 2003 .

[10]  Ali Feliachi,et al.  Robust load frequency control using genetic algorithms and linear matrix inequalities , 2003 .

[11]  Amin Khodabakhshian,et al.  A new robust PID load frequency controller , 2008 .

[12]  Soheil Ganjefar,et al.  PID controller adjustment using chaotic optimisation algorithm for multi-area load frequency control , 2012 .

[13]  Om P. Malik,et al.  Robust decentralized neural networks based LFC in a deregulated power system , 2007 .

[14]  Haluk Gozde,et al.  Automatic generation control application with craziness based particle swarm optimization in a thermal power system , 2011 .

[15]  Mohamed Zribi,et al.  Adaptive decentralized load frequency control of multi-area power systems , 2005 .

[16]  Nedjeljko Perić,et al.  Sliding mode based load-frequency control in power systems , 2010 .

[17]  Sakti Prasad Ghoshal,et al.  GA/particle swarm intelligence based optimization of two specific varieties of controller devices applied to two-area multi-units automatic generation control , 2010 .

[18]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[19]  Ertuğrul Çam,et al.  Fuzzy logic controller in interconnected electrical power systems for load-frequency control , 2005 .

[20]  Y. Mitani,et al.  Application of SMES coordinated with solid-state phase shifter to load frequency control , 1999, IEEE Transactions on Applied Superconductivity.

[21]  Seyed Abbas Taher,et al.  Robust Decentralized Load Frequency Control Using Multi Variable QFT Method in Deregulated Power Systems , 2008 .

[22]  Hassan Bevrani,et al.  Load–frequency control : a GA-based multi-agent reinforcement learning , 2010 .

[23]  E. S. Ali,et al.  Bacteria foraging optimization algorithm based load frequency controller for interconnected power system , 2011 .