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Open AccessFeature PaperArticle

Rating the Participation in Demand Response Programs for a More Accurate Aggregated Schedule of Consumers after Enrolment Period

by 1,2, 1,2,* and 2
1
GECAD—Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Rue Dr.Antonio Bernardino de Almeida 431, 4200-072 Porto, Portugal
2
Polytechnic of Porto, Rua Dr. Roberto Frias, 712 4200-465 Porto, Portugal
*
Author to whom correspondence should be addressed.
Electronics 2020, 9(2), 349; https://doi.org/10.3390/electronics9020349
Received: 1 January 2020 / Revised: 10 February 2020 / Accepted: 16 February 2020 / Published: 19 February 2020
(This article belongs to the Section Power Electronics)
Aggregation of small size consumers and Distributed Generation (DG) units have a considerable impact to catch the full flexibility potential, in the context of Demand Response programs. New incentive mechanisms are needed to remunerate consumers adequately and to recognize the ones that have more reliable participation. The authors propose an innovative approach to be used in the operation phase, to deal with the uncertainty to Demand Response events, where a certain target is requested for an energy community managed by the Aggregator. The innovative content deals with assigning and updating a Reliability Rate to each consumer according to the actual response in a reduction request. Three distinct methods have been implemented and compared. The initial rates assigned according to participation in the Demand Response events after one month of the enrolment period and the ones with higher reliability follow scheduling, performed using linear optimization. The results prove that using the proposed approach, the energy community manager finds the more reliable consumers in each period, and the reduction target achieved in DR events. A clustering algorithm is implemented to determine the final consumer rate for one month considering the centroid value. View Full-Text
Keywords: clustering; consumers; demand response; uncertainty clustering; consumers; demand response; uncertainty
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MDPI and ACS Style

Silva, C.; Faria, P.; Vale, Z. Rating the Participation in Demand Response Programs for a More Accurate Aggregated Schedule of Consumers after Enrolment Period. Electronics 2020, 9, 349. https://doi.org/10.3390/electronics9020349

AMA Style

Silva C, Faria P, Vale Z. Rating the Participation in Demand Response Programs for a More Accurate Aggregated Schedule of Consumers after Enrolment Period. Electronics. 2020; 9(2):349. https://doi.org/10.3390/electronics9020349

Chicago/Turabian Style

Silva, Cátia; Faria, Pedro; Vale, Zita. 2020. "Rating the Participation in Demand Response Programs for a More Accurate Aggregated Schedule of Consumers after Enrolment Period" Electronics 9, no. 2: 349. https://doi.org/10.3390/electronics9020349

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Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

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