Energy Management System for Hospital Building Using Genetic Algorithm

Authors

  • Normazlina Mat Isa Jabatan Kejuruteraan Elektrik, Politeknik Merlimau, KB 1031, Pejabat Pos Merlimau, 71300 Merlimau, Melaka Department of Electrical Power Engineering, Faculty of Electrical Engineering, University Technology Malaysia, 81310 Skudai, Johor
  • Chee Wei Tan Department of Electrical Power Engineering, Faculty of Electrical Engineering, University Technology Malaysia, 81310 Skudai, Johor
  • A.H.M. Yatim Department of Electrical Power Engineering, Faculty of Electrical Engineering, University Technology Malaysia, 81310 Skudai, Johor

Keywords:

Cogeneration, Energy Management System, Genetic Algorithm, Hospital, Microgrid,

Abstract

Microgrid (MG) as well as energy management system (EMS) is undergoing an immense growth. A cogeneration, as one of MG topologies, needs an efficient controller to manage the supply-demand activity so that both sides can achieve their goals. The EMS plays a role as a supervisory controller to optimally dispatch the energy in order to satisfy the load demand. In this paper, EMS based on optimization approaches to minimize the operating cost of cogeneration system is presented. This study developed a cogeneration system that consists of grid-connected photovoltaic, fuel cell and battery. This system was adopted at hospital building, which was selected as a sample of load profile. An optimization problem was formulated by considering decision variables, input system parameters, objective function and constraints. Furthermore, the problems were solved using Genetic Algorithm. The viability of the optimization approaches was simulated in MATLAB environment.

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Published

2017-11-30

How to Cite

Mat Isa, N., Tan, C. W., & Yatim, A. (2017). Energy Management System for Hospital Building Using Genetic Algorithm. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(3-7), 111–118. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3084

Issue

Vol. 9 No. 3-7: Intelligent System Modeling and Control

Section

Articles

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