Adaptive Neuro-Fuzzy Scheduled Load Frequency Controller for Multi Source Multi Area System Interconnected via Asynchronous Tie-line

AUTHOR(S):

K.R.M. Vijaya Chandrakala, S. Balamurugan

TITLE

Adaptive Neuro-Fuzzy Scheduled Load Frequency Controller for Multi Source Multi Area System Interconnected via Asynchronous Tie-line

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ABSTRACT

The article focuses towards the development of an optimal secondary controller which could adapt with the varying system conditions. For the analysis, a two area multi source system consisting of thermal, hydro and nuclear system in one area is interconnected with another area comprising of thermal and hydro system. On subjection to unit step load change in demand, the impact on frequency and tie-line power flow variations in multi source multi area is observed under MATLAB / Simulink environment. The fine tuning of frequency and tie-line power flow variations is achieved with the help of secondary controller. Optimal secondary Proportional Integral (PI) controller is chosen based on Zeigler Nichols’ (ZN), Genetic Algorithm (GA), Fuzzy Gain Scheduling (FGS) and Adaptive Neuro-Fuzzy Inference System (ANFIS) tuning techniques. The performance of the controller is evaluated based on performance indices.

KEYWORDS

Load Frequency Control (LFC), Zeigler Nichols’ (ZN) Method, Genetic Algorithm (GA) Technique, Adaptive Neuro-Fuzzy Gain Scheduling (ANFIS) Technique, Integral Squared Error (ISE)

REFERENCES

[1] C. Fosha, O.I. Elgerd, The megawattfrequency control problem: a new approach via optimal control theory, IEEE Transactions on Power Apparatus and Systems, Vol.PAS- 89, No.4, 1970; pp.563-577.

[2] O.I. Elgerd, Electric Energy Systems Theory an Introduction, Tata McGraw Hill Edition, 1983.

[3] P. Kundur, Power System Stability and Control, McGraw Hill Inc., Newyork, 1994.

[4] IEEE PES Committee Report, Dynamic Models for Steam and Hydro Turbines in Power System Studies, IEEE Transactions on Power Apparatus and Systems, Vol.PAS- 92, 1973.

[5] IEEE PES Working Group, Hydraulic Turbine And Turbine Control Models for System Dynamic Studies, IEEE Transactions on Power Systems, Vol.PWRS-7, 1992, pp.167-174.

[6] T.Ichikawa, Dynamics of Nuclear Power Plant in Electric Power System (Part 1)- BWR plant, CRIEPI Report No.175079, July 1976.

[7] N. Cohn, Techniques for improving the control of bulk power transfers on interconnected systems, IEEE Transactions on Power Apparatus and Systems, Vol.90, 1971, pp.2409- 2419.

[8] Sateesh Kumar Vavilala, R.S. Srinivas, Machavarapu Suma, Load Frequency Control of Two Area Interconnected Power System Using Conventional and Intelligent Controllers, Int. Journal of Engineering Research and Applications, Vol.4, No.1 2014, pp.156-160.

[9] Y. Wang, R. Zhou, C. Wen, Robust loadfrequency controller design for power systems, IEE Proceeding-C, Vol.140, No.1, 1993.

[10] K.P. Singh Parmar, S. Majhi, D.P. Kothari, Load frequency control of a realistic power system with multi-source power generation, Electrical Power and Energy Systems, Vol.42, 2012, pp.426-433.

[11] G.L. Kusic et al, Automatic generation control for hydro systems, IEEE Transactions on Energy Conversion, Vol.3, No.1, 1988, pp.33-39.

[12] H. D. Mathur, H. V. Manjunath HV, Study of Dynamic Performance of Thermal Units With Asynchronous Tie-Lines Using Fuzzy Based Controller, Journal of Electrical Systems, Vol. 3, No. 3, 2007, pp.124-130.

[13] N.N. Bengiamin, W.C. Chan, 3-level loadfrequency control of power systems interconnected by asynchronous tie lines, Proceedings of the IEE, Vol.126, No.11, 1979, pp.1198-1200.

[14] Ibraheem, P.K. Kumar, Study of dynamic performance of power systems with asynchronous tie-lines considering parameter uncertainties, IE (I) Journal— EL, Vol.85, 2004, pp.35-42.

[15] Shashi Kant Pandey, R. Soumya Mohanty and Nand Kishor, A Literature Survey on Load- Frequency Control for Conventional and Distribution Generation Power Systems, Renewable and Sustainable Energy Reviews, Vol.25, 2013, pp.318-334.

[16] M. Gopal, Control Systems Principles and Design, Second Edition, Tata McGraw Hill, 2002.

[17] W. Tan, Tuning of PID load frequency controller for power systems, Energy Conversion Management, Vol.50, No.6, 2009, pp.1465-1472.

[18] J. G. Ziegler, N. B. Nichols, Optimum Setting for Automatic Controllers, Transactions of ASME, Vol. 64, 1942, pp.759-768.

[19] D. Rerkpreedapong, A. Hasanovic, A. Feliachi, Robust load frequency control using genetic algorithms and linear matrix inequalities, IEEE Transactions on Power Systems, Vol.18, No.2, 2003, pp.855-861.

[20] S.P. Ghoshal, GA-fuzzy based fast acting adaptive active power-frequency control of interconnected multiple thermal generating areas, IE (I) Journal— EL, Vol. 85, 2005, pp.209-215.

[21] F. Daneshfar, H. Bevrani, Load frequency control: A GA-based multi-agent reinforcement learning, IEE Proceedings - Generation, Transmission and Distribution Vol.4, No.1, 2010, pp.13-26.

[22] Du Xiuxia, Li Pingkang, Fuzzy logic control optimal realization using GA for multi-area AGC systems, International Journal of Information Technology, Vol.12, No.7, 2006, pp.63-72.

[23] S.P. Ghoshal, Multi-area frequency and tieline power flow control with fuzzy logic based integral gain scheduling, IE(I) Journal—EL, Vol.84, 2003, pp.135-141.

[24] Ertugrul cam, I. Kocaarslan, Load frequency control in two area power systems using fuzzy logic controller, Energy Conversion and Management, Vol.46, 2005, pp.233-243.

[25] C.F. Juang, C.F. Lu, Power system load frequency control by genetic fuzzy gain scheduling controller, Journal of the Chinese Institute of Engineer, Vol.28, No.6, 2005, pp.1013-1018.

[26] J. Talaq, F. Al-Basri, Adaptive fuzzy gain scheduling for load frequency control, IEEE Transactions on Power Systems, Vol.14, No.1, 1999, pp.145-150.

[27] Kalyan Chatterjee, PI Controller for Automatic Generation Control Based on Performance Indices, World Academy of Science, Engineering and Technology, Vol.0051, 2011, pp.321-328.

[28] George Stephanopoulos, Chemical Process Control, Prentice Hall of India, 1984.

[29] M. Rahmani and N. Sadati, Hierarchical Optimal Robust Load-Frequency Control for Power Systems, IET Generation, Transmission and Distribution, Vol. 6, 2012, pp.303-312.

[30] Tsay Tain-Sou, Load-frequency control of interconnected power system with governor backlash nonlinearities, Electrical Power and Energy Systems, Vol. 33, 2011, pp.1542-1549.

[31] MATLAB User Manuals, Mathworks Inc. U.S.A., 2000.

Cite this paper

K.R.M. Vijaya Chandrakala, S. Balamurugan. (2017) Adaptive Neuro-Fuzzy Scheduled Load Frequency Controller for Multi Source Multi Area System Interconnected via Asynchronous Tie-line. International Journal of Control Systems and Robotics, 2, 178-186