• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

RPSMDSM: Residential Power Scheduling and Modelling for Demand Side Management


Abstract

In third world countries like Pakistan, the production of electricity has been quickly reduced in past years due to rely on the fossil fuel. According to a survey conducted in 2017, the overall electrical energy capacity was 22,797MW, since the electrical grids have gone too old, therefore the efficiency of grids, goes down to nearly 17000MW. Significant addition of fossil fuel, hydro and nuclear is 64.2%, 29% and 5.8% respectively in the total electricity production in Pakistan. In 2018, the demand crossed 20,223MW, compared to peak generation of 15,400 to 15,700MW as by the Ministry of Water and Power. Country faces a deficit of almost 4000MW to 5000MW for the duration of 2019 hot summer term. Focus on one aspect considering Demand Side Management (DSM) cannot oversea the reduction of gap between power demand and customer supply, which eventually leads to the issue of load shedding. Hence, a scheduling scheme is proposed in this paper called RPSMDSM that is based on selection of those appliances that need to be only Turned-On, on priority during peak hours consuming minimum energy. The Home Energy Management (HEM) system is integrated between consumer and utility and bidirectional flow is presented in the scheme. During peak hours of electricity, the RPSMDSM is capable to persuade less power consumption and accomplish productivity in load management. Simulations show that RPSMDSM scheme helps in scheduling the electricity loads from peak price to off-peak price hours. As a result, minimization in electricity cost as well as (Peak-to-Average Ratio) PAR are accomplished with sensible waiting time.


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Cite this article

[IEEE Style]
S. Ahmed, A. Raza, S. Shafique, M. Ahmad, M. A. Khan, A. Nawaz and R. Tariq, "RPSMDSM: Residential Power Scheduling and Modelling for Demand Side Management," KSII Transactions on Internet and Information Systems, vol. 14, no. 6, pp. 2398-2421, 2020. DOI: 10.3837/tiis.2020.06.005.

[ACM Style]
Sheeraz Ahmed, Ali Raza, Shahryar Shafique, Mukhtar Ahmad, M.Yousaf Ali Khan, Asif Nawaz, and Rohi Tariq. 2020. RPSMDSM: Residential Power Scheduling and Modelling for Demand Side Management. KSII Transactions on Internet and Information Systems, 14, 6, (2020), 2398-2421. DOI: 10.3837/tiis.2020.06.005.

[BibTeX Style]
@article{tiis:23585, title="RPSMDSM: Residential Power Scheduling and Modelling for Demand Side Management", author="Sheeraz Ahmed and Ali Raza and Shahryar Shafique and Mukhtar Ahmad and M.Yousaf Ali Khan and Asif Nawaz and Rohi Tariq and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2020.06.005}, volume={14}, number={6}, year="2020", month={June}, pages={2398-2421}}