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Ramping of Demand Response Event with Deploying Distinct Programs by an Aggregator
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. ; The present work was done and funded in the scope of the following projects: UIDB/00760/2020, CEECIND/02887/2017, and COLORS PTDC/EEI-EEE/28967/2017, funded by FEDER Funds through the COMPETE program. This work has also received funding from the European Union's Horizon 2020 research and innovation programme under project DOMINOES (grant agreement No 771066).
Ramping of Demand Response Event with Deploying Distinct Programs by an Aggregator
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. ; The present work was done and funded in the scope of the following projects: UIDB/00760/2020, CEECIND/02887/2017, and COLORS PTDC/EEI-EEE/28967/2017, funded by FEDER Funds through the COMPETE program. This work has also received funding from the European Union's Horizon 2020 research and innovation programme under project DOMINOES (grant agreement No 771066).
Ramping of Demand Response Event with Deploying Distinct Programs by an Aggregator
Omid Abrishambaf (author) / Pedro Faria (author) / Zita Vale (author)
2020-03-16
oai:zenodo.org:3760630
Energies 13(6) 1389
Article (Journal)
Electronic Resource
English
DDC:
690
Ramping of Demand Response Event with Deploying Distinct Programs by an Aggregator
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