Priority-based Residential Demand Side Management in Smart Grid Using ToU Pricing

Research on method of demand-side participating in grid interaction based on time-of-use pricing and coupon guidance

“…There have been many studies on guidance methods in the literature. For example, Muthuselvi and Saravanan (2021) proposed a time-of-use pricing dynamic pricing scheme to curb peak demand during peak periods by guiding customer load shifting through time-of-use pricing. Meanwhile, Yang et al (2018) and Zhang et al (2022) proposed price-based demand response mechanisms to direct customers to increase or decrease their loads in different scenarios through pricing.…”

“…In electricity consumption behavior, customers are satisfiers rather than maximizers (Liu et al, 2017;Alfaverh et al, 2020), which means that demand-side participation in grid interaction is more random and volatile. The accuracy of these methods (Zhong et al, 2013;Xin et al, 2016;Yang et al, 2018;Jun and Qi, 2019;En et al, 2020;Lu et al, 2020;Muthuselvi and Saravanan, 2021;Yun et al, 2021;Zhi et al, 2021;Zhang et al, 2022) for calculating the customer electricity consumption adjustment amount is low. To improve the accuracy of customer electricity consumption adjustment volume prediction, Yuan et al (2021) constructed a short-term load forecasting model of RBF neural network considering demand response factor, which reflects the change of load curve due to the influence of demand response signal.…”