Multi Area Load Frequency Control of a Hybrid Power System with Advanced Machine Learning Controller: Case Study of Andhra Pradesh

Mahaboob Shareef Syed *, Ch.V.Suresh**, S. Siva Nagaraju ***
* Research Scholar, Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University Kakinada, Andhra Pradesh, India.
** Associate Professor, Department of Electrical and Electronics Engineering, Vasireddy Venkatadri Institute of Technology, Nambur, Guntur Andhra Pradesh, India.
*** Professor, Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University Kakinada, Andhra Pradesh, India.
Periodicity:February - April'2018


In the present work, the Load Frequency Control (LFC) problem of a real time bus test system of Andhra Pradesh state 124 (AP-124), India, has been studied. The system comprises of hydro, thermal, gas, and nuclear plants. The entire system is segregated into four control areas. Area 2 and Area 4 form a hybrid power system with wind and solar plants integration, as the availability of wind and solar resources are abundant in the respective areas. To overcome the chaotic behaviour of load and renewable energy generation, it is indeed necessary to develop a sophisticated controller. A hybrid Persistent – Extreme Learning Machine (P-ELM) controller was used to encounter the frequency and tie-line power deviations. The LFC has been studied by the Conventional Integral Control, Neural Network (NN) Control and P-ELM Control, with variations in load, wind, and solar generations as well.


Load Frequency Control, Persistent – Extreme Learning Machine Controller, Hybrid Power System, Machine Learning, Neural Network

How to Cite this Article?

Syed, M. S., Suresh, V., and Sivanagaraju, S. (2018). Multi Area Load Frequency Control of a Hybrid Power System with Advanced Machine Learning Controller: Case Study of Andhra Pradesh. i-manager’s Journal on Power Systems Engineering, 6(1), 1-13.


[1]. Ali, R.A., Qudaih, Y.S., Mitani, Y., & Mohamed, T.H. (2013). A robust load frequency control of power system with fluctuation of renewable energy sources. 2013 International Conference on Renewable Energy Research and Applications (ICRERA), 711-716.
[2].Ayodele, T. R., Jimoh, A., Munda, J. L., & Tehile, A. J. (2012). Challenges of grid integration of wind power on power system grid integrity: A Review. International Journal of Renewable Energy Research (IJRER), 2(4), 618-626.
[3]. Baccino, F., Conte, F., Grillo, S., Massucco, S., & Silvestro, F. (2014). Coordinated contribution of wind turbines to frequency regulation by model predictive control. IFAC Proceedings Volumes, 47(3), 3645-3650.
[4]. Bevrani, H., & Daneshmand, P. R. (2012). Fuzzy logicbased load-frequency control concerning high penetration of wind turbines. IEEE Systems Journal, 6(1), 173-180.
[5].Das, D. C., Roy, A. K., & Sinha, N. (2011). Genetic algorithm based PI controller for frequency control of an autonomous hybrid generation system. Proc. International Multiconferance of Engineers and Computer Scientists, 2.
[6]. Datta, A., Bhattacharjee, K., Debbarma, S., & Kar, B. (2015, December). Load frequency control of a renewable energy sources based hybrid system. In Systems, Process and Control (ICSPC), 2015 IEEE Conference on (pp. 34-38). IEEE.
[7]. De Mello, F. P., & Ahner, D. J. (1994). Dynamic models for combined cycle plants in power system studies. IEEE Transactions on Power Systems, 9(3), 1698-1708.
[8]. Delille, G., Francois, B., & Malarange, G. (2012). Dynamic frequency control support by energy storage to reduce the impact of wind and solar generation on isolated power system's inertia. IEEE Transactions on Sustainable Energy, 3(4), 931-939.
[9]. Erlich, I., & Wilch, M. (2010, July). Primary frequency control by wind turbines. In Power and Energy Society General Meeting, 2010 IEEE (pp. 1-8). IEEE.
[10]. Ichikawa, T. (1976). Dynamics of Nuclear Power Plant in Electric Power System (Part 1)-BWR plant. CRIEPI Report, (175079).
[11]. Ichikawa, T. (1977). Nuclear Power Plant Dynamics in Electric Power System (part 2)-BWR Plant Dynamics Simulation Model, CRIEPI Report (176072).
[12]. Kabiri, D., Rahmati, A. H. Z., & Khosrozad, B. (2014). Frequency Regulation in Presence of PV-generation using Robust Control Theor y. Bulletin of Environment, Pharmacology and Life Sciences. 4(1), 105-115.
[13]. Kundur, P., Balu, N. J., & Lauby, M. G. (1994). Power system stability and control (Vol. 7). New York: McGraw-hill.
[14]. Lee, D. J., & Wang, L. (2008). Small-signal stability analysis of an autonomous hybrid renewable energy power generation/ energy storage system part: Time-domain simulations. IEEE Transactions on Energy Conversion, 23(1), 311-320.
[15]. Liang, L., Zhong, J., & Jiao, Z. (2012, October). Frequency regulation for a power system with wind power and battery energy storage. In Power System Technology (POWERCON), 2012 IEEE International Conference on (pp. 1-6). IEEE.
[16]. Malinga, B., Sneckenberger, J. E., & Feliachi, A. (2003, March). Modeling and control of a wind turbine as a distributed resource. In System Theory, 2003. Proceedings th of the 35 Southeastern Symposium on (pp. 108-112). IEEE.
[17]. Morel, J., Obara, S. Y., & Morizane, Y. (2014). Operation strategy for a power grid supplied by 100% renewable energy at a cold region in Japan. Journal of Sustainable Development of Energy, Water and Environment Systems, 2(3), 270-283.
[18]. Moutis, P., Loukarakis, E., Papathanasiou, S., & Hatziargyriou, N. D. (2009, June). Primary load-frequency control from pitch-controlled wind turbines. In PowerTech, 2009 IEEE Bucharest (pp. 1-7). IEEE.
[19]. Pandey, S. K., Mohanty, S. R., Kishor, N., & Catalão, J. P. (2014). Frequency regulation in hybrid power systems using particle swarm optimization and linear matrix inequalities based robust controller design. International Journal of Electrical Power & Energy Systems, 63, 887-900.
[20]. Polycarpou, M. M., Ishibuchi, H., Lin, C. T., Pal, R. N. (2013). Robust Decentralized Type-2 Fuzzy Logic Load frequency controller for an Interconnected Thermal - Wind Diesel Systems. Proceedings of IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions.
[21]. Pujara, S. M., & Kotwal, C. D. (2016). An Inclusive Review on Load Frequency Control in Deregulated Market. International Journal on Electrical Engineering and Informatics, 8(3), 594-610.
[22]. Ramakrishna, K. S. S., & Bhatti, T. S. (2007). Sampleddata automatic load frequency control of a single area power system with multi-source power generation. Electric Power Components and Systems, 35(8), 955-980.
[23]. Ramakrishna, K. S. S., Sharma, P., & Bhatti, T. (2010). Automatic generation control of interconnected power system with diverse sources of power generation. International Journal of Engineering, Science and Technology, 2(5), 51-65.
[24]. Rawat, S., Singh, S., & Gaur, K. (2014, December). Load frequency control of a hybrid renewable power system with fuel cell system. In Power India International th Conference (PIICON), 2014 6 IEEE (pp. 1-6). IEEE.
[25]. Syed, M. S., Suresh, C. V., & Sivanagaraju, S. (2017). Short term solar insolation prediction: P-ELM approach. International Journal of Parallel, Emergent and Distributed Systems, 32 (6). 1-12.
[26]. Takayama, S., & Matsuhashi, R. (2016, February). Development of model for load frequency control in power system with large-scale integration of renewable energy. In Power and Energy Conference at Illinois (PECI), 2016 IEEE (pp. 1-8). IEEE.

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