Abstract

Fairness is now a significant issue in demand response because of its importance in customer attraction. Studies have shown that current demand response programs are lacking fairness considerations so that this may prevent demand response program penetration. In this article, fairness will be discussed and explored in terms of fair delay of energy usage instead of the existing fair bill approach. A mathematical formation of the system is provided and an algorithm is proposed, including back-off, carry-on, and optimization procedures. In order to find the best policy for using this algorithm, simulations are conducted to find the best policy in order to lower all the customers’ total cost while bounding the customers’ delays within a fairness range. The simulation results show the best policy under two different simulation setups. Moreover, the energy consumption scheduling algorithm with the fair delay control has much better fair delay index performance than the energy consumption scheduling algorithm without fair delay control, with 20%–65% improvement, depending on the environments.

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