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Intelligent Algorithm for Efficient Use of Energy Using Tackling the Load Uncertainty Method in Smart Grid

Original scientific paper

Journal of Sustainable Development of Energy, Water and Environment Systems
Volume 8, Issue 3, September 2020, pp 547-560
DOI: https://doi.org/10.13044/j.sdewes.d7.0308
Shahid N. Khan
Department of Electrical Engineering, University of Poonch Rawalakot, Shamsabad Hijara Road Rawalakot, Rawlakot, Azad Kashmir, Pakistan


In this paper, i am developing a unique optimization based real time inland load management algorithm that takes into account load ambiguity in order to minimize the energy payment for each residential user, as well as reduce the peak to average ratio to overcome the drawbacks in the stability of electrical grid. By categorizing the all residential load in different classes, i.e. must run, interruptible and uninterruptible appliances, i used the real time pricing scheme for load management. However, real time pricing creates the peak profiles when the energy demand is too high, that’s why i used the combination of real time pricing and inclining blocks rates model to improve the grid stability by reducing the peak to average ratio. A simulation results show that the proposed algorithm efficiently and effectively reduced the overall residential energy cost as well as peak to average ratio of our model for data provided.

Keywords: Demand side management, Peak to average ratio, Energy cost, User comfort, Smart grid.

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