An Optimal Energy Management System for University Campus Using the Hybrid Firefly Lion Algorithm (FLA)

Haneef Ullah, Murad Khan, Irshad Hussain, Ibrar Ullah, Peerapong Uthansakul and Naeem Khan
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Haneef Ullah: Faculty of Electrical & Computer Engineering, University of Engineering and Technology, Peshawar 25000, Pakistan
Murad Khan: Faculty of Electrical & Computer Engineering, University of Engineering and Technology, Peshawar 25000, Pakistan
Irshad Hussain: Faculty of Electrical & Computer Engineering, University of Engineering and Technology, Peshawar 25000, Pakistan
Ibrar Ullah: Faculty of Electrical & Computer Engineering, University of Engineering and Technology, Peshawar 25000, Pakistan
Peerapong Uthansakul: School of Telecommunication Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand
Naeem Khan: Faculty of Electrical & Computer Engineering, University of Engineering and Technology, Peshawar 25000, Pakistan

Energies, 2021, vol. 14, issue 19, 1-16

Abstract: As the world population and its dependency on energy is growing exponentially day by day, the existing energy generating resources are not enough to fulfill their needs. In the conventional grid system, most of the generated energy is wasted because of improper demand side management (DSM). This leads to a difficulty in keeping the equilibrium between the user need and electric power production. To overcome these difficulties, smart grid (SG) is introduced, which is composed of the integration of two-way communication between the user and utility. To utilize the existing energy resources in a better way, SG is the best option since a large portion of the generated energy is consumed by the educational institutes. Such institutes also need un-interrupted power supply at the lowest cost. Therefore, in this paper, we have taken a university campus load. We have not only applied two bio-inspired heuristic algorithms for energy scheduling—namely, the Firefly Algorithm (FA) and the Lion Algorithm (LA)—but also proposed a hybrid version, FLA, for more optimal results. Our main objectives are a reduction in both, that is, the cost of energy and the waiting time of consumers or end users. For this purpose, in our proposed model, we have divided all appliances into two categories—shiftable appliances and non-shiftable appliances. Shiftable appliances are feasible to be used in any of the time slots and can be planned according to the day-ahead pricing signal (DAP), provided by the utility, while non-shiftable appliances can be used for a specified duration and cannot be planned with the respective DAP signal. So, we have scheduled shiftable appliances only. We have also used renewable energy sources (RES) for achieving maximum end user benefits. The simulation results show that our proposed hybrid algorithm, FLA, has reduced the cost excellently. We have also taken into consideration the consumers’ waiting times, due to scheduling of appliances.

Keywords: DAP; DSM; demand response; energy management controller (EMC); firefly algorithm (FA); FLA; lion algorithm (LA); length of operational time (LOT); PAR; RES; smart grid; traditional electric power grid (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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