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Open AccessArticle

Ramping of Demand Response Event with Deploying Distinct Programs by an Aggregator

1
GECAD—Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, IPP—Polytechnic Institute of Porto, Rua DR. Antonio Bernardino de Almeida, 431, 4200-072 Porto, Portugal
2
IPP—Polytechnic Institute of Porto, Rua DR. Antonio Bernardino de Almeida, 431, 4200-072 Porto, Portugal
*
Author to whom correspondence should be addressed.
Energies 2020, 13(6), 1389; https://doi.org/10.3390/en13061389
Received: 7 February 2020 / Revised: 5 March 2020 / Accepted: 10 March 2020 / Published: 16 March 2020
(This article belongs to the Special Issue Demand Response in Smart Grids)
System operators have moved towards the integration of renewable resources. However, these resources make network management unstable as they have variations in produced energy. Thus, some strategic plans, like demand response programs, are required to overcome these concerns. This paper develops an aggregator model with a precise vision of the demand response timeline. The model at first discusses the role of an aggregator, and thereafter is presented an innovative approach to how the aggregator deals with short and real-time demand response programs. A case study is developed for the model using real-time simulator and laboratory resources to survey the performance of the model under practical challenges. The real-time simulation uses an OP5600 machine that controls six laboratory resistive loads. Furthermore, the actual consumption profiles are adapted from the loads with a small-time step to precisely survey the behavior of each load. Also, remuneration costs of the event during the case study have been calculated and compared using both actual and simulated demand reduction profiles in the periods prior to event, such as the ramp period. View Full-Text
Keywords: aggregator; demand response; ramp period; real-time simulation aggregator; demand response; ramp period; real-time simulation
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MDPI and ACS Style

Abrishambaf, O.; Faria, P.; Vale, Z. Ramping of Demand Response Event with Deploying Distinct Programs by an Aggregator. Energies 2020, 13, 1389. https://doi.org/10.3390/en13061389

AMA Style

Abrishambaf O, Faria P, Vale Z. Ramping of Demand Response Event with Deploying Distinct Programs by an Aggregator. Energies. 2020; 13(6):1389. https://doi.org/10.3390/en13061389

Chicago/Turabian Style

Abrishambaf, Omid; Faria, Pedro; Vale, Zita. 2020. "Ramping of Demand Response Event with Deploying Distinct Programs by an Aggregator" Energies 13, no. 6: 1389. https://doi.org/10.3390/en13061389

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