A Fuzzy Logic Based Algorithm for Electric Power Network Management
Chukwuagu .M.Ifeanyi Engr. Chukwuagu Monday Ifeanyi, Prof. T. C. Madueme "A Fuzzy Logic Based Algorithm for Electric Power Network Management", International Journal of Engineering Trends and Technology (IJETT), V54(2),125-134 December 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
This project work is aimed at developing an efficient Algorithm for the management of Electric Power network using fuzzy logic. The fuzzy logic model functions as a system operator in making decision for load shedding and transfer switching. The new developed algorithm will solve the problem of inefficiencies associated with the conventional methods for the management of the system. The new technique uses the system data frequency variation, load variation and voltage variation and the experience of the system operators to formulate fuzzy rules, which are then simulated using fuzzy logic toolbox in MATLAB. The fuzzy controller for the load shedding management of power system, was modeled and developed. Data collected from the New Haven Nigerian switch gear was used to formulate the fuzzy logic interference rules. Simulation results indicates a remarkable improvement in the performance of the load shedding management at the power plants. Using the fuzzy controller the delay in load shedding transfer switching was reduced from 600 s to 0.02316 s, representing 99.99% reduction in load shedding transfer switching. The fuzzy logic controller achieved a load shedding energy efficiency of 90.57% as indicated in table 4.2 of this research work.
 L.A. Zadeh; “Fuzzy sets, Fuzzy genetic system and outline of a new approach to the analysis of complex system”. University of California, USA, pp 20 – 33, November, 1965.
 G.J. Klir and T.A. Folger; “Fuzzy sets Uncertainty and Information” Prentice Hall, Engle wood Cliffs, N.J., pp 34 – 35, February, 1988.
 C.C. Lee, “Fuzzy Logic in Control Systems” IEEE Trans. On Systems, Man and Cybernetics, SMC, Vol.20; pp. 35,40, March, 1990.
 D.K. Steven, “Fuzzy Logic an Introduction part 2” (ONLINE) available www.search Seattlerobotics.org ,pp 45 – 46, February, 2006.
 K. Kishan, M.R. Akbarzadeh, k. Kumbla, E. Tunstel, A.T John’s, “Adaptaive Neuro- fuzzy logic controller ona digital signal processor’’, University of New Mexico, USA,pp 50 – 51, April, 1992.
 P. korthmann, “Design of fuzzy logic controller by meansof fuzzy models’’, Ruhr –University, Bochum, pp 54 – 67, September, 1990.
 J.Shing Roger Jang, C. Tsai Son, “Neuro – Fuzzy Modeling and Control,” proceedings of the IEEE, pp 4 – 5, March, 1995.
fuzzy, logic, load, system, shedding, power, controller