GA Technique to Solve the Load Frequency and Tie-Line Power Problem of Thermal Generating Unit
Advances in Networks
Volume 7, Issue 2, December 2019, Pages: 51-58
Received: Oct. 19, 2019;
Accepted: Nov. 20, 2019;
Published: Dec. 2, 2019
Views 493 Downloads 148
Ashish Dhamanda, Electrical Engineering Department, Gurukula Kangri University, Haridwar, India
Gajendra Singh Rawat, Electrical Engineering Department, Gurukula Kangri University, Haridwar, India
For a wide role of a electric power system, Automatic Generation Control (AGC) is responsible to area load changes and abnormal imprecise system operating parameters essentially means very fast minimization of area frequency changes and mutual tie line power flow changes of the areas for satisfactory and stable operation of the system. Some technique gives the good results in normal operation but in abnormal condition, it take large time to settle down the load disturbance, which is harmful for the system. Genetic Algorithm (GA) Technique) provides better control performance over frequency deviations and tie line power flow deviations due to a normal and abnormal operating condition of sudden load changes. In this paper six area model of thermal generating units has been developed and simulated in MATLAB Simulink software. Response of the developed model has been obtained by GA technique and compared with the other technique like; fuzzy, PID. Tabulated result shows that the GA technique give the better performance over the other technique due to settling down the frequency and tie line power flow changing in less time and maintenance the system constancy with the litmits.
Gajendra Singh Rawat,
GA Technique to Solve the Load Frequency and Tie-Line Power Problem of Thermal Generating Unit, Advances in Networks.
Vol. 7, No. 2,
2019, pp. 51-58.
Box ZOU and Wei-hong XU (2006), ‘A New Evaluation Method for AGC Units Performance’. 0-7803-9114-4/05/$20.00©2005 IEEE D. P. Kothari, Nagrath, 2003. Modern Power System Analysis, Tata McGraw Hill, Third Edition.
Chaturvedi Ratnesh and Dwivedi Bharti (2014), ‘Fuzzy and PI Controller Based Load Frequency Control of Thermal-Hydro Power System’. International Journal of Innovative Science, Engineering & Technology, Vol. 1 Issue 3, May 2014.
Gabano J. D., Poinot T. and Kanoun H., (2010), ‘Identification of a Thermal System Using Continuous Linear Parameter Varying Fractional Modelling’. IET Control Theory Appl, 2011, Vol. 5, issue 7.
Hassen S. Z. Sayed and Jahmeerbacus M. I., (2013), ‘Optimal Frequency Regulation of a Two-area Power System’. 978-1-4673-4569-9/13/$31.00©2013 IEEE.
Kadam D. P., Wagh S. S. and Patil P. M., (2007), ‘Thermal Unit Commitment Problem by Using Genetic Algorithm, Fuzzy Logic and Priority List Method’. International Conference on Comput-ational Intelligence and Multimedia Applications 2007, 0-7695-3050-8/07$25.00© 2007 IEEE.
Pan C. T. and Liaw C. M., (1989), ‘An Adaptive Controller for Power System Load Frequency Control’. IEEE Transactions on Power Systems, Vol. 4, No. 1, February 1989.
Park Min-Su and Chun Yeong-Han (2009), ‘Tuning of Generating Unit Controller for the Generators with Governor’. IEEE T&D Asia 2009.
Ping Li, Kang, Hengjun Zhu and Yuyun Li (2002), ‘Genetic Algorithm Optimization for AGC of Multi-Area Power Systems’. 0-7803-7490-8/02/$17.00@2002 IEEE.
Prakash Surya and Sinha Sunil Kumar (2013), ‘Performance Evaluation of Hybr -id Intelligent Controllers in Load Frequency Control of Multi Area Interconnected Power Systems’. World Academy of Science, Engineering and Technology, Vol. 7 2013-05-26.
Qi H., Zhang K. F. and Dai X. Z., (2010), ‘Coordinated Control of Thermal Genera –ting Unit Aiming at Multi-Machine Power Systems’. 978-1-4244-6551-4/10 /$26.00 ©2010 IEEE.
Rakhshani E. and Sadeh J., (2008), ‘Load Frequency Control of Multi-Area Restrutured Power System’. IEEE Power India Conference & Power on 2008, New Delhi, India, 12-15 October, 978-1-4244-1762-9/08/$25.00@2008 IEEE.
Sinha S. K., Prasad R. and Patel R. N., (2009), ‘PSO Tuned Combined Optimal Fuzzy Controller for AGC of Two Area Interconnected Power System’. 978-1-4244-5612-3-09/$26.00 @2009 IEEE.
Trivedi Anupam (2011), ‘Improved Multi-objective Evolutionary Algorithm for Day Ahead Thermal Generation Scheduling’. 978-1-4244-7835-4/11/$26.00©2011 IEEE.
Xiuxia Du and Pingkang Li (2006), ‘Fuzzy Logic Control Optimal Realization using GA for Multi Area AGC Systems’. IJIT Vol. 12 No. 7 2006.
D. P. Kothari, Nagrath, 2003. Modern Power System Analysis, Tata McGraw Hill, Third Edition.
Elgerd O. I, 1971. Electric Energy System Theory; an Introduction, McGraw Hill.
S. Sivanagaraju, G. Sreenivasan, 2011. Power System Operation and Control, PEARSON.
S. Hasan Saeed, 2006. Automatic Control System, S. K. Kataria and Sons.
Surya Prakash, S K Sinha, 2012. Four Area Load Frequency Control of Interconnected Hydro-Thermal Power System by Intelligent PID Control Controller, IEEE 978-1-4673-0455-9/12.
Pujara Shital M. and Kotwal Chetan D., (2014), ‘Optimized Integral Gain Controllers for Price Based Frequency Regulation of Single Area Multi-Unit Power System’. IJEEI- Volume 6, Number 2, June 2014.