Dual Proportional Integral Controller OF Two-Area Load Frequency Control Based Gravitational Search Algorithm

Gravitational Search Algorithm (GSA) has recently been explored to develop a novel algorithm for distributed optimization and control. This paper proposes a dual Proportional Integral (PI) controller of Load Frequency Control (LFC) based GSA to enhance the damping of oscillations in a two-area power system. A two-area non-reheat thermal system is considered to be equipped with dual PI controller. GSA is utilized to search for optimal controller parameters by minimizing a time-domain based objective function. The performance of the proposed controller has been evaluated with the performance of the conventional PI controller, and  PI  controller  tuned  by  GSA in  order  to  demonstrate  the  superior efficiency of the proposed dual PI controller tuned by GSA. Simulation results emphasis on the better performance of the optimized dual PI controller based on GSA in compare to optimized PI controller based on GSA and conventional one over wide range of operating conditions, and system parameters variations. DOI:  http://dx.doi.org/10.11591/telkomnika.v15i3.8454

[1]  E. S. Ali,et al.  BFOA based design of PID controller for two area Load Frequency Control with nonlinearities , 2013 .

[2]  Hossein Nezamabadi-pour,et al.  GSA: A Gravitational Search Algorithm , 2009, Inf. Sci..

[3]  Mohammad Ali Abido,et al.  AGC tuning of interconnected reheat thermal systems with particle swarm optimization , 2003, 10th IEEE International Conference on Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003.

[4]  Assoc. Prof. Dr. Tole Sutikno TELKOMNIKA : Telecommunication, Computing, Electronics and Control , 2017 .

[5]  S. Selvakumaran,et al.  Design of decentralized biased dual mode controller for load frequency control of an interconnected power system with AC/DC tie lines , 2010, 2010 Conference Proceedings IPEC.

[6]  Surya Prakash,et al.  Load frequency control of three area interconnected hydro-thermal reheat power system using artificial intelligence and PI controllers , 2012 .

[7]  Kalyan Chatterjee,et al.  Design of Dual Mode PI Controller for Load Frequency Control , 2010 .

[8]  Behrooz Vahidi,et al.  A robust PID controller based on imperialist competitive algorithm for load-frequency control of power systems. , 2013, ISA transactions.

[9]  Charles E. Fosha,et al.  The Megawatt-Frequency Control Problem: A New Approach Via Optimal Control Theory , 1970 .

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

[11]  Charles E. Fosha,et al.  Optimum Megawatt-Frequency Control of Multiarea Electric Energy Systems , 1970 .

[12]  M. Mohamed Thameem Ansari,et al.  Load frequency control using Bat inspired algorithm based dual mode gain scheduling of PI controllers for interconnected power system , 2015 .

[13]  Zhu Hengjun,et al.  Genetic algorithm optimization for AGC of multi-area power systems , 2002, 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering. TENCOM '02. Proceedings..

[14]  Tariq Samad Perspectives in Control Engineering Technologies, Applications, and New Directions , 2000 .

[15]  Sakti Prasad Ghoshal,et al.  Application of GA based optimal integral gains in fuzzy based active power-frequency control of non-reheat and reheat thermal generating systems , 2003 .

[16]  Om P. Malik,et al.  A load frequency control algorithm based on a generalized approach , 1988 .

[17]  Adi Soeprijanto,et al.  Optimal Placement and Sizing of Thyristor-controlled- series-capacitor using Gravitational Search Algorithm , 2012 .

[18]  Hassan Bevrani,et al.  Application of GA optimization for automatic generation control design in an interconnected power system , 2011 .

[19]  Hossein Nezamabadi-pour,et al.  Filter modeling using gravitational search algorithm , 2011, Eng. Appl. Artif. Intell..

[20]  Babu Narayanan,et al.  POWER SYSTEM STABILITY AND CONTROL , 2015 .

[21]  S. Mishra,et al.  Maiden application of bacterial foraging-based optimization technique in multiarea automatic generation control , 2012, 2012 IEEE Power and Energy Society General Meeting.

[22]  S. Mishra,et al.  Maiden Application of Bacterial Foraging-Based Optimization Technique in Multiarea Automatic Generation Control , 2009, IEEE Transactions on Power Systems.

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

[24]  S. P. Ghoshal,et al.  Application of GA/GA-SA based fuzzy automatic generation control of a multi-area thermal generating system , 2004 .