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Performance Analysis of Automatic Generation Control of Multi-Area Power System Using Fuzzy-PID Controller

Aditya Kumar Yadav*, L. B. Prasad**

* M.Tech Graduate, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

** Assistant Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

Periodicity:February - April'2015
DOI : https://doi.org/10.26634/jic.3.2.3537

Abstract

A large interconnected power system consists of large and small generating stations and all stations must have same frequency. Fuzzy-PID (Propositional-Integial Derivative) control method has been applied in this work for Automatic Generation Control (AGC) of multi-area power system with Generation Rate Constraints (GRC). The objective of providing an Automatic Generation Control (AGC) is to maintain the system frequency at nominal value and the power interchange between different areas at their scheduled values. The main requirement of an interconnected AGC is to ensure that the frequency of various bus voltages and currents are maintained at near specified nominal values, and tieline power flowing among the interconnected areas are maintained at specified levels, and total power requirement on the system as a whole is shared by individual generators economically in optimum fashion.The main work of AGC is to maintain constant system frequency. This method is used in the control system having three areas with steam turbine and one with hydro turbine tied together with power lines. The performance analysis of AGC using fuzzy-PID controller is presented in this paper.

Keywords

Automatic Generation Control (AGC), Generation Rate Constraint (GRC), Fuzzy Logic Controller (FLC), Proportional Integral Derivative (PID) Controller, MATLAB/SIMULINK .

How to Cite this Article?

Yadav, A.K., and Prasad, L.B. (2015). Performance Analysis of Automatic Generation Control of Multi-Area Power System Using Fuzzy-PID Controller. i-manager’s Journal on Instrumentation and Control Engineering, 3(2), 24-31. https://doi.org/10.26634/jic.3.2.3537

References

[1]. P.Subbaraj and K.Manickavasagm, (2013). “Automatic Generation Control of Multi-arae Power System with Genaration Rate Constraints Using Computational Intalligence Techniques”, International Journal of Applied Power Engineering, Vol.2, No.1, pp. 27-38.

[2]. J.Nanda, B.Kaul, (1978). “Automatic Generation Control of an Interconnected Power System”, IEEE Proceedings, pp. 385-390.

3]. O.I.Elgerd ,C.E.Fosha, (1970). “Optimum Megawatt Frequency Control of Multi-area Electric Energy Systems”, IEEE Transaction on PAS, pp 556-563.

[4]. R.K.Green, (1996). “Transformed Automatic Generation Control”, IEEE Transactions on Power Systems, Vol.11, No.4, pp 1799-1804.

[5]. A.Demiroren, E.yesil, (2004). “Automatic Generation Control with Fuzzy Logic Controllers in Power System including SMES Unit”, International Journal of Electrical Power and Energy Systems, pp. 291-305.

[6]. Eisa Bashier M. Tayeb, (2012). “Automation of Interconnected Power System Using Fuzzy Logic Generation” IEEE Conference on Utility Exhibition on Power and Energy System, 2012, pp 1-5.

[7]. Otman, M.Ahtiwash, Mohz.Z.Abdulmuin and Fatimah siraj, (2002). “ A Neural-fuzzy Logic Approach for Modelling and Control of Non-linear System”, IEEE International Symposium on Intelligent Control, pp. 270-275.

[8]. Lee CC, (1990). “ Fuzzy Logic in Control Systems: Fuzzy Logic Controller”, IEEE Transactions on Systems, Man Cybernetics, Vol.20, No.2, pp.404–418.

[9]. Das D, Nanda J, Kothari ML, Kothari DP, (1983). “Automatic Generation Control of an Interconnected Hydrotermal System in Continous and Discrete Modes Considering Generation Rate Constraints”, IEEE Transaction on Control Theory and Applications, Vol.130, No.1, pp.17- 27.

[10]. Pedrycz W, (1993). “Fuzzy Control and Fuzzy System”, New York: Wiley; 1993.

[11]. Otman,M.Ahtiwash, Mohz.Z.Abdulmuin and Fatimah Siraj, (2002).“ A Neural-fuzzy Logic Approach for Modelling and Control of Non-linear System”, IEEE International Symposium on Intelligent Control, pp. 270-275.

[12]. Surya Prakash and Sunil Kumar Sinha, (2011). “Load Frequency Control of Three Area Interconnected Hydrothermal Reheat Power System Using Artificial Intelligence and PI Controllers”, International Journal of Engineering Science and Technology, Vol.4, No.1, pp 23- 37.

Performance Analysis of Automatic Generation Control of Multi-Area Power System Using Fuzzy-PID Controller

Abstract

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How to Cite this Article?

References

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