Analysis on Market Mechanism of Demand Response and its Outlook in China

Huang, Minglei; Chen, J. F.; Cai, Yuanji; You, Xiaoguang; Cai, Hansheng; Wen, Bo

doi:10.1109/gtdasia.2019.8715954

Cited by 2 publications

(5 citation statements)

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“…The second category comprises DR systems classified by incentives into t of instruments, so-called "reward programs", namely, price-based DR (PBDR centive-based DR (IBDR) [7,30,39,[41][42][43][44][45][46]. The interrelation is demonstrated in Fi The first category comprises DR systems divided into centralized and distributed by their control mechanism.…”

Section: Classification Of Demand Response Programsmentioning

confidence: 99%

“…The second category comprises DR systems classified by incentives into two types of instruments, so-called "reward programs", namely, price-based DR (PBDR) and incentivebased DR (IBDR) [7,30,39,[41][42][43][44][45][46]. The interrelation is demonstrated in Figure 6.…”

Section: Classification Of Demand Response Programsmentioning

confidence: 99%

“…1. Price-based DR (PBDR) provides customers with a time-varying (dynamic) electricity rate [41,42,45,46]. Price-based programs comprise:…”

Section: Directmentioning

confidence: 99%

“…2. Incentive-based DR (IBDR) offers participants a rate discount or incentive pay-outs over certain periods [7,39,41,42,45,46,48]. Demand sources provide system reliability services and are useful for the entire system during power peaks or emergencies.…”

mentioning

confidence: 99%

“…Incentive-based DR (IBDR) offers participants a rate discount or incentive pay-outs over certain periods [7,39,41,42,45,46,48].Demand sources provide system reliability services and are useful for the entire system during power peaks or emergencies. In a deterministic or real-time policy, incentive-driven demand encourages consumers to allow power cuts in cases of power shortage or short-term system reliability issues.…”

mentioning

confidence: 99%

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Overview of Demand-Response Services: A Review

2022

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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.

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