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http://dx.doi.org/10.3837/tiis.2020.06.005

RPSMDSM: Residential Power Scheduling and Modelling for Demand Side Management  

Ahmed, Sheeraz (IQRA National University)
Raza, Ali (Edwardes College)
Shafique, Shahryar (IQRA National University)
Ahmad, Mukhtar (Islamia College University)
Khan, Muhammad Yousaf Ali (Gomal University)
Nawaz, Asif (Higher College of Technology)
Tariq, Rohi (Career Dynamics Research Centre)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.14, no.6, 2020 , pp. 2398-2421 More about this Journal
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.
Keywords
Power Scheduling; Demand Side Management; Home Energy Management; Real-time Pricing; energy harvesting;
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Times Cited By KSCI : 1  (Citation Analysis)
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