Performance Assessment of Fuzzy Logic Controller for Load Frequency Control in multi source multi area system

Anurekha Nayak, Manoj Kumar Maharana

Abstract


This article confers the performance of Fuzzy logic controller for Load Frequency Control (LFC) in multi-source multi area power system .The suggested multi area systems are studied for various operating load conditions to realize the deviations found in system frequency and the interchange power through tie-line. The distinct energy sources include hydro, thermal, wind and diesel power plants. The system models are compared for the conventional PI controller and suggested fuzzy logic controller. It is remarked from the simulation results that the proposed fuzzy logic controller contributes superior dynamic response over conventional controller.


Keywords


MSMA (Multi-source multi area) system; TSTA (Two source two area) system , Load Frequency Control(LFC);PI controller; Fuzzy Logic Controller(FLC)

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References


O.I Elgerd, Electric Energy Systems Theory—An Introduction, TMH edition, New Delhi: Tata McGraw-Hill, 2000.

O.I. Elgerd,CFosha “Optimal megawatt frequency control of multi area electric energy systemâ€.IEEE Trans Electric Power Apparatus System 1970,PAS 89:556-63.

CE Fosha, O.I. Elgerd “The megawatt –frequency control problem: a new approach via optimal control theory.IEEE Trans Power Systems 1970;89:563-77.

P.Kundur,, “ Power System Stability and Controlâ€, eighth reprint ,Tata McGraw Hill Inc. ,New Delhi,1994.

H.Bevrani,“Robust Power System Frequency Controlâ€, Springer ,New York,2009.

I.P.Kumar,D.P.Kothari,“Recent philosophies of automatic generation control strategies in power system†,IEEE Trans. Power system (2005)346-357.

Shashi Kant Pandey, R. SoumyaMohanty and NandKishor, “A Literature Survey on Load-Frequency Control for Conventional and Distribution Generation Power Systemsâ€, Renewable and Sustainable Energy Reviews, Vol.25, 318-334, 2013.

Swati R.Khuntia,S.Panda “ Simulation study of Automatic Generation Control of a multi-area power system by ANFIS approach†Applied Soft Computing 12(2012);333-341.

Rahul Umrao; Sanjeev Kumar; Man Mohan and D.K.Chaturvedi,â€Load Frequency Control Methodologies for Power Systemâ€2nd International Conference on Power, Control and Embedded Systems 2012.

A.k.Sahoo,Chitra V, kanagapriya T.â€Load Frequency Control for a Distributed Grid System Involving Wind and Hydro Power Generationâ€2nd International Conference on Power, Control and Embedded Systems 2012.

U.K.Rout,R.K.Sahu,S.panda “Design and analysis of differential evolution algorithm based automatic generation control for interconnected power system†Elsevier ,Aim Shams University -2012.

L.C.Saikia, J.Nanda,S.Mishra, “ Performance comparison of several classical controller in AGC for multi area interconnected thermal systemâ€Electric Power and Energy Systems,33(2011)394-401.

K. P. Parmar Singh, S. Majhi and D. P. Kothari, “Load Frequency Control of A Realistic Power System With Multi-Source Power Generationâ€, International Journal of Electrical Power and Energy Systems, Vol. 42, pp.426-433, 2012.

B.Mohanty,S.Panda,P.K.Hota,“Control Parameter Tuning of Differential evolution Algorithm and its Application to Load Frequency Control of Multi- source Power Systemâ€,Electric Power and Energy Systems,54(2014)77-85.

K. R. M. V. Chandrakala, S. Balamurugan and K. Sankaranarayanan, “Variable structure fuzzy gain scheduling based load frequency controller for multi source multi area hydro thermal systemâ€, Electrical Power and Energy Systems, Vol.53, 2013, pp. 375–381.

VijayaChandrakala,BalamuruganSukumar&KrishnamoorthySankaranarayanan Load Frequency Control of Multi-source Multi-area Hydro Thermal System Using Flexible Alternating Current Transmission System Devices, Electric Power Components and Systems, 42:9, 927-934,2014.

Ziegler, J. G., and Nichols, N. B., “Optimum setting for automatic controllers,†Trans. ASME, Vol. 64, pp. 759–768, 1942.

K. S. S. Ramakrishna, Pawan Sharma, T. S. Bhatti “ Automatic generation control of interconnected power system with diverse sources of power generationâ€International Journal of Engineering, Science and Technology Vol. 2, No. 5, 2010, pp. 51-65.

R.K.Sahu,T.S.Gorripotu,SidharthaPanda,â€Automatic generation control of multi-area power systems with diverse energy sources using teaching Learning Based Optimization Algorithm†Engineering Science and Technology, an International Journal 19(2016)113-134.

R. C. Bansal, “Bibliography on the Fuzzy Set Theory Applications In Power System (1994-2001)â€, IEEE Transactions on Power Systems, Vol. 18, No.4, pp. 1291-1299, 2003.

I. Kocaarslan and E. Cam, “Fuzzy Logic Controller in Interconnected Electrical Power Systems for Load Frequency Controlâ€, Electrical Power and Energy Systems, Vol. 27, pp.542-549, 2005.

E. Cam E and I. Kocaarslan, “Load Frequency Controller in Two Area Power System Using Fuzzy Logic Controllerâ€, Energy Conversion and Management, Vol. 46, pp.233243, 2005.

D. Das, S.K. Aditya, D.P. Kothari“Dynamics of diesel and wind turbine generators on an isolated power systemâ€Electrical Power and Energy Systems 21 (1999) 183–189.

The MathWorks,MATLAB/Simulink user Manuals,Natick,MA:Author,2000.

P.K.Nag “Power Plant Engineeringâ€




DOI (PDF): https://doi.org/10.20508/ijrer.v9i4.9758.g7762

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