Optimal residential load scheduling under dynamic pricing and demand-side management
1 School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China.
2 Department of Physics, Mathematics and informatics, University of Dar-es-Salaam, Tanzania.
Research Article
International Journal of Frontiers in Engineering and Technology Research, 2021, 01(02), 001–018.
Article DOI: 10.53294/ijfetr.2021.1.2.0049
Publication history:
Received on 04 September 2021; revised on 15 October 2021; accepted on 17 October 2021
Abstract:
Balancing electricity consumption and generation in the residential market is essential for power grids. The imbalance of power scheduling between energy supply and demand would definitely increase costs to both the energy provider and customer. This paper proposes a control function to normalize the peak cost and customer discomfort. In this work, we modify an optimization power scheduling scheme by using the inclined-block rate (IBR) and real-time price (RTP) technique to achieve a desired trade-off between electricity payment and consumer discomfort level. For discomfort, an average time delay between peak and off-peak is proposed to minimize waiting time. The simulation results present our model more practical and realistic with respect to the consumption constrained at peak hours.
Keywords:
Demand side management; Energy management system; Load scheduling; Smart grid; Optimization; Dynamic response
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