Conference Paper

Peak Load Shaving Model Based on Individual's Habit

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Abstract

Smart Grid is supposed to play an important role in future energy management. In smart grid, Demand Side Management (DSM) is one of the main areas which is under focus of researchers in order to solve the classical problem of peak demand management. In this paper, we have proposed a Habit Based DSM (HBDSM) model for peak load shaving. Proposed method is based on individuals habit which is modeled using Markov Chain. The main focus of the work is to minimize the cost by optimizing battery consumption using Equal Interval Search algorithm in order to minimize energy consumption from the grid and so as to shave the demand curve. Simulation results prove the effectiveness of the proposed model. Keyword– HEMS, Demand Side Management,Habit Model HBDSM, Markov Chain, Equal Interval Search.

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... Peak shaving through the use of DSM and multi-agent system was presented in [20] indicating a demand reduction of 20%. The peak load shaving and cost minimisation were the objectives of [24] where modelling habits through Markov chain and user location are considered. Load management in [25] was guaranteed through an optimal allocation of energy storage system. ...
... That negligence also applies for [34,44]. The work in [24,25] did not present appliance operational models; Aside from water pumps in [49,50], no other appliances were modelled. The problem in [24] was subject to the utilisation of energy storage system and reducing the cost by minimising energy purchase from the grid. ...
... The work in [24,25] did not present appliance operational models; Aside from water pumps in [49,50], no other appliances were modelled. The problem in [24] was subject to the utilisation of energy storage system and reducing the cost by minimising energy purchase from the grid. However, such a concept does not fit the work here where power generation is in deficiency and consumers' benefits from accessing electricity services are to be maximised regardless the cost. ...
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Chapter
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