Gravitational Search Algorithm (GSA) based PID Controller Design for Two Area Multi-Source Power System Load Frequency Control (LFC)

Year 2018, Volume: 31 Issue: 1, 139 - 153, 01.03.2018

Shah Jahan Safi , Suleyman Sungur Tezcan , Ibrahim Eke , Zakirhussain Farhad

https://izlik.org/JA86EE95BR

Abstract

This paper presents the design and performance
analysis of a meta-heuristic search technique (Gravitational-Search-algorithm)
to optimal tuning of Proportional-Integral-Derivative plus Filter (PIDF)
controller for automatic generation control. The designed algorithm is applied
in multi-source interconnected power system. The system under investigation is
equipped with PIDF-controllers which are widely used in literature considering
for the analysis and design purpose. Excellency of the proposed approach is shown
with comparison of differential evolution and particle swarm optimization
algorithm. The dynamic response has been studied under variety of operating-conditions.
The simulation results represent that the tuned PIDF-controllers by
gravitational search algorithm supply the better damping of oscillations in
power system.

Keywords

Automatic Generation Control , Gravitational Search algorithm , Proportional

References

• [1] Duman, S., Yorukeren, N., Altas, I. H., “Load Frequency Control of a Single Area Power System using Gravitational Search Algorithm”, International Symposium on Innovations in Intelligent Systems and Applications (INISTA), Trabzon, 1-5, (2012)
• [2] Shayeghi, H., Shayanfar, H. A. and Jalili, A. “Load Frequency Control Strategies: A State-of-the-Art Survey for the Researcher”, Energy Conversion and Management, 50(2): 344-353, (2009).
• [3] Duman, S., Yorukeren, N. “Automatic Generation Control of the Two Area Non-reheat Thermal Power System using Gravitational Search Algorithm” Przegląd Elektrotechniczny (Electrical Review), 88(10a): 254-259. (2012)
• [4] Gözde, H., Taplamacıoğlu, M. C. and Kocaarslan, İ., “A swarm optimization based load frequency control application in a two area thermal power system”, International Conference on Electrical and Electronics Engineering (ELECO 2009), Bursa, 124-128, (2009).
• [5] Singh, O., Tiwari, P., Ibraheem and Singh A. “A Survey of Recent Automatic Generation Control Strategies in Power Systems”, International Journal of Emerging Trends in Electrical and Electronics (IJETEE), 7(2): 1-14, (2013).
• [6] Kothari, D. P., Nagrath, I. J., Modern power system analysis, 4th edition, McGraw Hill, New Delhi, (2011).
• [7] Ramesh S., Krishnan, A. “Fuzzy Rule Based Load Frequency Control in a Parallel AC–DC Interconnected Power Systems through HVDC Link”, International Journal of Computer Applications, 1(4): 62-69, (2010).
• [8] Sheikh, M. R. I., Muyeen S. M., Takahashi, R., “Application of Self-Tuning FPIC to AGC for Load Frequency Control in Multi-Area Power System” IEEE Power Tech Conference, Bucharest, 2-7, (2009).
• [9] Ogbonna, B., Ndubisi, S. N., “Neural Network Based Load Frequency Control for Restructuring Power Industry”, Nigerian Journal of Technology (NIJOTECH), 31(1): 40-47, 2012.
• [10] Rao C. S., “Adaptive Neuro Fuzzy Based Load frequency Control of Multi Area System under Open Market Scenario” IEEE- International Conference on Advances in Engineering, Science and Management (ICAESM -2012), Gumushane, 5-10, (2012).
• [11] Shankar, R., Chatterjee, K., Chatterjee, T. K., “Genetic Algorithm Based Controller for Load- Frequency Control of Interconnected Systems” 1st International Conference on Recent Advances in Information Technology (RAIT-2012), 1-6, Dhanbad, (2012).
• [12] Gözde, H., Taplamacıoğlu, M. C. and Kocaarslan, İ., “Comparative Performance Analysis of Artificial Bee Colony Algorithm in Automatic Generation Control for Interconnected Reheat Thermal Power System”, International Journal of Electrical Power and Energy Systems, 42(1): 167-178, (2012).
• [13] Omar, M., Soliman, M., Ghany, A. A. M., Bendary, F., “Ant Colony Optimization based PID for single Area Load Frequency Control”, Intemational Conference on Modelling, Identification & Control (ICMIC), 119-123, Cairo, (2013).
• [14] Kumar, S. R., Sidhartha, P., Kumar, R. U., Prabina, R., “Application of Gravitational Search Algorithm for Load Frequency Control of Multi Area Power System”, Journal of Bioinformatics and Intelligent Control, 2(3): 200-210, (2013).
• [15] Parmar, K. P. S., “Load Frequency Control of Multi-Source Power System with Redox Flow Batteries: An Analysis”, International Journal of Computer Applications, 88(8): 46-52, (2014).
• [16] Balasundaram, P., Akilandam C. I., “ABC Algorithm based Load- Frequency Controller for an interconnected Power System Considering nonlinearities and Coordinated with UPFC and RFB”, International Journal of Engineering and Innovative Technology (IJEIT), 1(3): 1-11, (2012).
• [17] Gözde, H., Taplamacıoğlu, M. C.,“Automatic Generation Control Application With Craziness Based Particle Swarm Optimization In A Thermal Power System”, International Journal of Electrical Power and Energy Systems, 33(1): 8-16, (2011).
• [18] Parmar, K. P. S., “PSO based PI Controller for the LFC System of an Interconnected Power System”, International Journal of Computer Applications, 88(7): 20-25, (2014).
• [19] Elgerd, O. I., Electric energy system theory, 2nd edition, McGraw Hill, New York, (1983).
• [20] Kundur, P., Power system stability and control, 5th reprint, McGraw Hill, New Delhi, (2008).
• [21] Bevrani, H., Robust power system frequency control. 1st edition, Springer, New York, (2009).
• [22] Patel, A. K., Dharmendra, K. S., Sahoo, B. K.,“Automatic generation control of a two unequal area thermal power system with PID controller using Differential Evolution Algorithm”, Journal of Engineering Research and Applications (IJERA), 3(4): 2628-2645, (2013).
• [23] Sahu, R. K., Panda, S., Rout, U. K., “DE optimized parallel 2-DOF PID controller for load frequency control of power system with governor dead-band nonlinearity” Electrical Power and Energy Systems, 49: 19–33, (2013).
• [24] Sahu, R. K., Panda S., Padhan, S., “Optimal gravitational search algorithm for automatic generation control of interconnected power systems”, Ain Shams Engineering Journal (ASEJ), 5(3): 1-13, (2014).
• [25] Rashedi, E., Nezamabadi-pour H., Saryazdi, S., “GSA: A Gravitational Search Algorithm”, Information Sciences, 179(13): 2232-2248 (2009).
• [26] Rashedi, E, Nezamabadi-pour, H., Saryazdi, S., “Filter modeling using gravitational search algorithm”, Engineering Applications of Artificial Intelligence, 24(1): 117-122, (2011).