Abstract
The annual consumption of electrical energy has been increasing throughout the world. Most recently, the optimal utilization of electrical energy has gained more importance. Traditionally, the load has been considered as passive component of the grid but, with the rapid changes in power system operation, the demand side management technologies (DSM) now play an important role to improve the energy efficiency of power grid. DSM technique helps the utility to reshape the electric utility load curve and to reduce the peak demand. This article analyses the demand side management strategy of a commercial building situated in a city of South Assam, India. The purpose of the study is to minimize the electrical energy consumption cost of the building for a given period of time. Physical observation reveals that the energy consumption cannot be reduced. Therefore, cost saving can only be achieved by shifting some loads at cheaper billing periods and by optimizing the operation of self-generation systems. This paper focuses on the modelling aspects of the customers’ load and self-generation system for its load management purpose. Further, this article discusses the computational aspects of the optimization model. The load activity strategy is formulated based on the consumption forecast scenarios with significant uncertainty. The customer comfort index during business hours is considered in this work as practical constraints. The algorithm is formulated as mixed integer problem, and the demand side management is obtained under local Time Of Use (TOU) tariff structure. The DSM problem has been implemented using MATLAB and solved using Artificial Bee Colony (ABC) algorithm. The results demonstrate the effectiveness of the load management strategies in reducing the energy consumption cost.
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References
Santacana, E., Rackliffe, G., Tang, L., Feng, X.: Getting Smart. IEEE Power Energy Mag. 8(2), 41–48 (2010)
Vehbi, C.G., Dilan, S., Taskin, K., Salih, E., Concettina, B., Carlo, C., Gerhard, P.H.: Smart grid technologies: communication technologies and standards. IEEE Trans. Industr. Inf. 7(4), 529–539 (2011)
Mohsenian-Rad, A.-H., Vincent, W.S., Juri, W.J., Robert, S., Leon-Garcia, A.: Autonomous demand side management based on game-theory energy consumption scheduling for the future smart grid. IEEE Trans. Smart Grid 1(3), 320–331 (2010)
Rankin, R., Rousseau, P.G.: Demand side management in South Africa at industrial residence water heating systems using inline water heating methodology. Energy Conver. Manag. 49(1), 62–74 (2008)
Finn, P., Ć Connell, M., Fitzpatrick, C.: Demand side management of a domestic dishwasher: wind energy gains, financial savings and peak time load reduction. Appl. Energy 101, 678–685 (2013)
Alparslan Zehir, M., Bagriyanik, M.: Demand side management by controlling refrigerators and its effects on consumers. Energy Conv. Manage. 64, 238–244 (2012)
Perfurmo, C., Kofman, E., Braslavsky, J.H., Ward, J.K.: Load management: model-based control of aggregate power for populations of thermostatically controlled loads. Energy Conv. Manage. 55, 36–48 (2012)
Pengwei, D., Ning, L.: Appliance commitment for household load scheduling. IEEE Trans. Smart Grid 2(2), 411–419 (2011)
Guan, X., Xu, Z., Jia, Q.-S.: Energy-efficient buildings facilitated by micro grid. IEEE Trans. Smart Grid 1(3), 243–252 (2010)
Qureshi, W.A., Nirmal-Kumar, C., Nair, M., Farid, M.: Impact of energy storage in buildings on electricity demand side management. Energy Conv. Manage. 52, 2110–2120 (2011)
Kostková, K., Omelina, Ľ., Kyčina, P., Jamrich, P.: An introduction to load management. Electr. Power Syst. Res. 95, 184–191 (2013)
Godoy-Alcantar, J.M., Cruz-Maya, J.A.: Optimal scheduling and self generation for load management in the Mexican power sector. Electric Power Syst. Res. 81, 1357–1362 (2011)
Karaboga, D.: An Idea based on honey bee swarm for numerical optimization. Technical Report TR06, Computer Engineering Department, Erciyes University, Turkey (2005)
Karaboga, D., Basturk, B.: On the performance of artificial bee colony (ABC) algorithm. Elsevier Appl. Soft Comput. 8 (2008)
Hemamalini, S., Simon, S.P.: Artificial bee colony algorithm for economic load dispatch problem with non-smooth cost functions. Electric Power Comp. Syst. 38(7), 786–803 (2010)
Malakar, T., Goswami, S.K.: Active and reactive dispatch with minimum control movements. Int. J. Electr. Power Energy Syst. 44(1), 78–87 (2013)
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Malakar, T., Goswami, S.K., Rajan, A. (2019). Demand Side Management of a Commercial Customer Based on ABC Algorithm. In: Bansal, J., Das, K., Nagar, A., Deep, K., Ojha, A. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 817. Springer, Singapore. https://doi.org/10.1007/978-981-13-1595-4_49
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DOI: https://doi.org/10.1007/978-981-13-1595-4_49
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