Microgrid Design Including Fuzzy Logic Controlled Storage System

Yaser Soliman Qudaih^*, Raheel Ali, Yasunori Mitani

Department of Electrical Engineering and Electronics, Kyushu Institute of Technology, Kitakyushu, Japan.

DOI: 10.4236/jpee.2014.24050                

Abstract

Smart grid design and structures are somehow depending on the way of designing and operating Microgrids. In this research a unique design of microgrid is proposed as in medium tension isolated power distribution system contains diesel generation unit and photovoltaic generation. Storage system is a part of the control strategy to reduce the diesel usage and to maintain the balance between generation and demand which might be disturbed due to the presence of PV system. Fuzzy logic control scheme has been chosen compared with conventional controller to be the main controller for both the diesel unit and storage system. Promising result has been found by digital simulation using Matlab Simulink proving the possibility of reducing the dependency on fossil fueled generators and increase the utilization of renewable energy.

Keywords

Microgrid; Fuzzy Logic Control; Electric Storage Systems

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	González, J.S., Payán, M.B., Santos, J.M.R. and González-Longatt, F. (2014) A Review and Recent Developments in the Optimal Wind-Turbine Micro-Siting Problem. Renewable and Sustainable Energy Reviews, 30, 133-144. http://dx.doi.org/10.1016/j.rser.2013.09.027
[2]	Bernard, M.Z., Mohamed, T.H., Ali, R., Mitani, Y. and Qudaih, Y.S. (2013) PI-MPC Frequency Control of Power System in the Presence of DFIG Wind Turbines. Engineering, 5, 43-50.
[3]	Caia, D.W.H., Adlakhab, S., Lowc, S.H., De Martinid, P. and Mani Chandyc, K. (2013) Impact of Residential PV Adoption on Retail Electricity Rates. 62, 830-843.
[4]	Qudaih, Y.S., Elbaset, A.A. and Hiyama, T. (2010) Simulation Studies on ECS Application in a Clean Power Distribution System. International Journal of Electrical Power and Energy Systems, 33, 43-54. http://dx.doi.org/10.1016/j.ijepes.2010.08.005
[5]	Zhang, L.F., Gari, N. and Hmurcik, L.V. (2014) Energy Management in a Microgrid with Distributed Energy Resources. 78, 297-305.
[6]	Saxena, D., Singh, S.N. and Verma, K.S. (2010) Application of Computational Intelligence in Emerging Power Systems. International Journal of Engineering, Science and Technology, 2, 1-7.
[7]	Qudaih, Y.S. and Mitani, Y. (2011) Power Distribution System Planning for Smart Grid Applications Using ANN. Energy Procedia, 12, 3-9. http://dx.doi.org/10.1016/j.egypro.2011.10.003
[8]	Kaehler, S.D. (2013) http://www.seattlerobotics.org/encoder/mar98/fuz/fl_part1.html
[9]	Halmann, M.M. and Steinberg, M. (1999) Green House Gas Carbon Dioxide Mitigation. CRC Press.
[10]	Hiyama, T. (1998) Fuzzy Logic Power System Stabilizer Using Polar Information. In: El-Hawary, M.E., Ed., Electric Power Applications of Fuzzy Systems, IEEE Press, New York, 149-177.