A Design of PI Controller using Stochastic Particle Swarm Optimization in Load Frequency Control of Thermal Power Systems

In this work Proportional-Integral (PI) controller was designed and proposed for Load Frequency Control (LFC) of a single area reheat thermal power system. The controller parameters, Proportional (Kp), Integral gain (Ki) values, were optimized and properly tuned using the Stochastic Particle Swarm Optimization (SPSO) technique. Investigate power system comprises suitable governor, reheater and generator units. Three different objective functions are considered for investigation, Integral Absolute Error (IAE), Integral Square Error (ISE) and Integral Time Absolute Error (ITAE) with one percent Step Load (1% SLP). Finally, simulation results show that IAE based PI controller response settled quickly with minimum over and undershoot compared to other objective function based controller performance.

[1]  Nilanjan Dey,et al.  Design of Proportional-Integral-Derivative Controller Using Stochastic Particle Swarm Optimization Technique for Single-Area AGC Including SMES and RFB Units , 2016 .

[2]  Nilanjan Dey,et al.  Firefly Algorithm for Optimization of Scaling Factors During Embedding of Manifold Medical Information: An Application in Ophthalmology Imaging , 2014 .

[3]  K. Jagatheesan,et al.  Dynamic performance of multi-area hydro thermal power systems with integral controller considering various performance indices methods , 2012, 2012 International Conference on Emerging Trends in Science, Engineering and Technology (INCOSET).

[4]  Taher Niknam,et al.  A new intelligent online fuzzy tuning approach for multi-area load frequency control: Self Adaptive Modified Bat Algorithm , 2015 .

[5]  B. K. Sahu,et al.  Teaching-learning based optimization algorithm based fuzzy-PID controller for automatic generation control of multi-area power system , 2015, Appl. Soft Comput..

[6]  M. Shivaie,et al.  A modified harmony search algorithm for solving load-frequency control of non-linear interconnected hydrothermal power systems , 2015 .

[7]  Nilanjan Dey,et al.  Particle Swarm Optimization based parameter optimization technique in medical information hiding , 2013, 2013 IEEE International Conference on Computational Intelligence and Computing Research.

[8]  Nilanjan Dey,et al.  Optimisation of scaling factors in electrocardiogram signal watermarking using cuckoo search , 2013, Int. J. Bio Inspired Comput..

[9]  Mohamed A. Ebrahim,et al.  Design of decentralized load frequency Based-PID Controller using Stochastic Particle Swarm optimization technique , 2009, 2009 International Conference on Electric Power and Energy Conversion Systems, (EPECS).

[10]  Ajit Kumar Barisal,et al.  Comparative performance analysis of teaching learning based optimization for automatic load frequency control of multi-source power systems , 2015 .

[11]  Bin Du,et al.  Linear active disturbance rejection-based load frequency control concerning high penetration of wind energy , 2015 .

[12]  Saptarshi Das,et al.  Fractional-order load-frequency control of interconnected power systems using chaotic multi-objective optimization , 2015, Appl. Soft Comput..

[13]  I. A. Chidambaram,et al.  Optimized PI+ load–frequency controller using BWNN approach for an interconnected reheat power system with RFB and hydrogen electrolyser units , 2015 .

[14]  Nilanjan Dey,et al.  Automatic Generation Control of Thermal-Thermal-Hydro Power Systems with PID Controller using Ant Colony Optimization , 2015, Int. J. Serv. Sci. Manag. Eng. Technol..

[15]  Nilanjan Dey,et al.  Artificial Intelligence in Performance Analysis of Load Frequency Control in Thermal-Wind-Hydro Power Systems , 2015 .

[16]  Rabindra Kumar Sahu,et al.  A novel hybrid PSO-PS optimized fuzzy PI controller for AGC in multi area interconnected power systems , 2015 .

[17]  K. Jagatheesan Automatic Generation Control of Three Area Hydro-Thermal Power Systems considering Electric and Mechanical Governor with conventional controller and Ant Colony Optimization technique , 2014 .