The Demand Side Response Strategy Based on Staggering Power Consumption

Li, Wei; Li, Quan; Zhu, Yayun

doi:10.1109/icicta.2017.105

Cited by 5 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In China, a key measure of DR service is the cost for the time of use (ToU). This solution answers several problems, including the dramatic contrast between the use of installations during peak loads and between them [47]. SG price comprises several values, including the maximum rate per hour, the regular rate, the peak, and valley rates depending on typical conditions or fluctuating based on the regular rate; it is calculated based on the following formula: This section may be divided into subheadings.…”

mentioning

confidence: 99%

“…where p f is the peak (maximum) hourly price, p p is the regular price, p g is the peak (maximum) and valley price, α is the proportion of parameters, β is the proportion of lower parameters [47].…”

mentioning

confidence: 99%

mentioning

confidence: 99%

“…The coordinates are values that represent the difference in prices for relevant periods. The Y-axis indicates the load transfer rate and the customer response, as demonstrated in Figure 7 [47]. A dead zone refers to the substantial response of a customer (or the lack of it) to this power distribution range; above the limit, linearity becomes particular to the response of a customer as well as the price for the transfer of the load.…”

mentioning

confidence: 99%

“…∇p represents the difference in prices of peak and valley intervals, afg represents the threshold of a dead zone, and bfg represents the threshold of saturation [47]. DR is considered the most economical and efficient solution for smoothing the demand curve under stress conditions experienced by the system [20].…”

mentioning

confidence: 99%

See 4 more Smart Citations

Overview of Demand-Response Services: A Review

2022

View full text Add to dashboard Cite

It is essential for the electricity sector to analyze and determine the distribution capacity throughput and apply new methods aimed at increasing the capacity of the transmission system. Consequently, the transition to modern electricity networks is two-sided, i.e., involving technological and social modifications. The demand response (DR) redistributes consumption away from peak times when grid load and costs are the highest. It incentivizes customers to use electricity when supply is high and inexpensive due to various market mechanisms. The present DR policy proposals stress the importance of fostering behavioral change through competitive pricing and customer participation in reducing carbon emissions and implementing smart energy solutions (including monitoring tools, such as smart meters and applications). The internet of things (IoT) has been applied to ensure adaptive monitoring of energy consumption and cost-effective and adequate demand-side management (DSM). The article is based on the research of the most recent sources of DR implementation methods applied at the power distribution level. It explains the main concepts, classifications, and entities implementing DSM programs, and suggests new visions and prospects for DSM and DR. Moreover, it discusses the application of blockchain technology potential for the internet of energy.

show abstract

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations