Peak Load Shaving Model Based on Individual´s Habit

Author

Ashraf, Hifsa ; Hassan, Ahmad ; Khurshid, Usman ; Mahmood, Anzar ; Shaheen, Nusrat ; Khan, Zahoor Ali ; Qasim, Umar ; Javaid, Nadeem

Author_Institution

COMSATS Inst. of Inf. Technol. Islamabad, Islamabad, Pakistan

fYear

2015

fDate

8-10 July 2015

Firstpage

276

Lastpage

282

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.

Keywords

Markov processes; demand side management; energy management systems; load shedding; smart power grids; HBDSM model; Markov chain; demand side management; energy management; equal interval search algorithm; habit based DSM; peak demand management; peak load shaving model; smart grid; Artificial intelligence; Barium; Software; Demand Side Management; Equal Interval Search; HEMS; Habit Model HBDSM; Markov Chain;

fLanguage

English

Publisher

ieee

Conference_Titel

Complex, Intelligent, and Software Intensive Systems (CISIS), 2015 Ninth International Conference on

Conference_Location

Blumenau

Print_ISBN

978-1-4799-8869-3

Type

conf

DOI

10.1109/CISIS.2015.94

Filename

7185198