A Comparative Study on AGC of Power Systems Using Reinforcement Learning and Genetic Algorithm
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In this paper the automatic generation control (AGC) of interconnected power systems is considered. The main objective of Automatic Generation Control (AGC) is to regulate the output of the power system within an area in response to changes in system frequency and tie-line flow. AGC helps to maintain the scheduled system frequency and tie-line power flow with the other areas within the limits. AGCs are mostly composed of an integral controller. The integrator gain is set as a compromise between fast transient recovery and low overshoot in the dynamic response of the overall system. This type of controller is slow in action and does not consider non-linearities in the generator unit. Also it is not robust. So in order to avoid these drawbacks two artificial intelligence techniques are used to tune the integral gains of conventional controller. The reinforcement learning and Genetic algorithm are used for the parameter tuning of AGC. The performance of RL & GA based controller is found to be better than conventional controller, has less complication in controlling power system.
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Noormohamadi, H., Niknafs, S., Gharaveisi, A.A., Automatic generation control of a multi-area power system using bacterial foraging algorithm, (2010) International Review of Electrical Engineering (IREE), 5 (3), pp. 1183-1188.
Ismayil, C., Sreerama Kumar, R., Sindhu, T.K., Comparative analysis of genetic algorithm and fuzzy logic based automatic generation control of multi area power systems, (2013) International Review on Modelling and Simulations (IREMOS), 6 (1), pp. 136-144.
Lalit Chandra Saikia , Sukumar Mishra ,Nidul Sinha , J. Nanda , “Automatic generation control of a multi area hydrothermal system using reinforced learning neural network controller”, Electrical Power and Energy Systems 33 (2011) 1101–1108.
T.P. Imthias Ahamed, P.S. Nagendra Rao , P.S. Sastry, “A reinforcement learning approach to automatic generation control”, Electric Power Systems Research 63 (2002) .
Lalit Chandra Saikia,” AGC of a three area thermal system using MLPNN controller : a preliminary study “,IEEE transaction 978-1-4673-2025-2/12/ 2012.
Imthias Ahamed T. P, Jasmin E. A. and Essam A. Al-Ammar, Reinforcement learning in power system scheduling and control: a unified perspective, 2011 IEEE Symposium on Computers & Informatics, 978-1-61284-690-3/11.
Bibhu Prasad Padhy and Barjeev Tyagi ,”Tuning of PID controller used in AGC scheme With genetic algorithms", xxxii National Systems Conference, NSE 2008, December 17-19, 2008
J. Nanda, A. Mangla, and Sanjay Suri, “Some new findings on automatic generation control of an Interconnected Hydrothermal system with conventional controllers,” IEEE Trans. Energy Conversion, vol. 21, no1, pp. 187-194, March 2006
J. Nanda , A. Mangla “Automatic generation control of an interconnected hydro-thermal system using conventional integral and fuzzy logic controller”, 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies (DRPT2004) April 2004 Hong Kong.
M. L. Kothari, P. S. Satsangi and J. Nanda, “Sampled data automatic generation control of interconnected reheat thermal systems considering generation rate constraints,” IEEE Trans. on Power Apparatus and systems,vol.PAS-100, no.5, pp 2334-2342, May1981.
M.L.Kothari, J.Nanda, D.P.Kothari, and D.Das, “Discrete mode AGC of a two area reheat thermal system with new ACE”, IEEE Trans. on Power Systems, vol.4, pp. 730-738, May 1989.
C. Concordia, L. K. Kirchmayer, “Tie-Line Power & Frequency Control of Electric Power Systems- Part II”, AIEE Trans., vol. 73, part III-A, 1954, pp. 133-146.
L. K. Kirchmayer, “Economic Control of Interconnected Systems”, john Wiley, New York, 1959
J.Nanda, Fellow IEEE; M.Parida, A, Kalam ,`generation control of a multi-area power system with conventional integral controllers",Journal of Institute of Engineers (India),pt. EL-2, vol.61, Oct. 1980, pp. 85-91.
J.A. Jaleel, T.P.I , Ahammed, “Simulation of artificial neural network controller for automatic generation control of hydro electric power system,” TENCON 2008 - 2008,. IEEE Region 10 Conference, 19-21 Nov. 2008.
Sivanagaraju S., Sreenivasan G.“Power System Operation and Control”, 1st edition Pearson Publishing Company Ltd., New Delhi, 2009.
O. I. Elgerd, Electric Energy Systems Theory. New York: McGraw-Hill, 1971, pp. 315–389.
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