2021
DOI: 10.1109/tste.2021.3084211
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Customized Critical Peak Rebate Pricing Mechanism for Virtual Power Plants

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Cited by 30 publications
(12 citation statements)
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“…Since our focus is on the fully distributed controlled VPP, we analyze the scenario where there is one EMS and multiply DERs. The unit cost of electricity generated by each DER is a random number from [1,10]. In Figure 3, we observe the utility of EMS and DERs changing with the number of DERs increasing.…”
Section: Simulation Results and Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…Since our focus is on the fully distributed controlled VPP, we analyze the scenario where there is one EMS and multiply DERs. The unit cost of electricity generated by each DER is a random number from [1,10]. In Figure 3, we observe the utility of EMS and DERs changing with the number of DERs increasing.…”
Section: Simulation Results and Analysismentioning
confidence: 99%
“…Meng et al in [9] presented an optimal price incentive strategy based on chance-constrained programming for virtual power plants participating in demand response in order to excavate the potential of participating in demand response and realize VPP global revenue maximization. In order to reflect VPPs' potential abilities in reducing peak load and supporting system frequency, Chen et al in [10] proposed a frequency control ancillary service and critical peak rebate strategy based on cumulative prospect theory for VPP.…”
Section: Icpeet-2022mentioning
confidence: 99%
“…Different energy pricing schemes are used in power systems to encourage consumers to actively respond to energy price variations. Among them, Time-of-Use (TOU) [47], Critical Peak Pricing (CPP) [48], and dynamic pricing [49] are widely used. In the latter, some financial incentives are offered to consumers to persuade them to contribute to DRPs.…”
Section: Demand Flexibilitymentioning
confidence: 99%
“…In this context, several contributions have investigated the end user’s behavior toward considering real-time market prices. 20 Furthermore, customer behavior toward the real-time retailer’s pricing scheme can be explored versus TOU, 21 CPP, 22 and RTP. 23 , 24 Zhu et al.…”
Section: Introductionmentioning
confidence: 99%