Load Scheduling Strategies Based on Dynamic Price in Smart Grid

Abstract:

The combination of renewable energy and dynamic electricity pricing is an important feature of modern smart grid. Due to the dynamic electricity price and the intermittency nature of renewable energy, a local small-scaled smart grid (microgrid) needs to intelligently schedule various work loads to determine their start and end time in order to maximize the utilization of renewable energy and minimize the total electricity cost. Since the workload that can be shifted/scheduled is classified into interruptible load and non-interruptible load, in this paper we present two novel recursive scheduling strategies based on dynamic programming for both categories. The simulation experiment demonstrates that our strategies can effectively save energy expenditure and increase the proportion of renewable energy in overall energy consumption.

• Periodical: Advanced Materials Research (Volumes 860-863)
• Pages: 2495-2500
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.860-863.2495
• Online since: December 2013
• Authors: Kang Qi Wang, Xiao Bin Tan, Shan Jin Yu
• Keywords: Dynamic Price, Interruptible Load, Microgrids (MGs), Non-Interruptible Load, Renewable Energy

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