Enhanced Coordination Strategy for an Aggregator of Distributed Energy Resources Participating in the Day-Ahead Reserve Market

Cindy Paola Guzman, Nataly Bañol Arias, John Fredy Franco, Marcos J. Rider and Rubén Romero
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Cindy Paola Guzman: Electrical Engineering Department, São Paulo State University (UNESP), Ilha Solteira, São Paulo 15385-000, Brazil
Nataly Bañol Arias: Department of Systems and Energy, University of Campinas (UNICAMP), Campinas, São Paulo 13083-852, Brazil
John Fredy Franco: School of Energy Engineering, São Paulo State University (UNESP), Rosana, São Paulo 19274-000, Brazil
Marcos J. Rider: Department of Systems and Energy, University of Campinas (UNICAMP), Campinas, São Paulo 13083-852, Brazil
Rubén Romero: Electrical Engineering Department, São Paulo State University (UNESP), Ilha Solteira, São Paulo 15385-000, Brazil

Energies, 2020, vol. 13, issue 8, 1-22

Abstract: The integration of distributed energy resources (DERs), e.g., electric vehicles (EVs) and renewable distributed generation (DG), in the electrical distribution system (EDS) brings advantages to society, but also introduces technical challenges (e.g., overloading and voltage issues). A DER aggregator, which has agreements with DERs to manage their consumption/generation, could collaborate with the EDS operator to mitigate those technical challenges. Previous approaches have mainly focused on the aggregator’s strategy to manage demand, aiming at the maximization of profits. Therefore, methods to support the aggregator’s strategy need to be extended to facilitate the integration of renewable DG, leading to an enhanced coordination of DERs. This paper proposes a linear programming model for the aggregator’s coordination strategy to maximize its profit through the management of DERs and the participation in the day-ahead reserve market. The model uses EV charging control to provide up/down reserve and reduces its cost taking advantage of DG. The proposed mathematical model represents the daily EDS operation (hourly resolution) to enforce voltage and current magnitude constraints. A case study carried out in an unbalanced 34-bus EDS with 660 EVs, demonstrates that the application of the proposed method enhances the DER aggregator’s strategy, leading to better outcomes in both profits and EDS operation.

Keywords: Aggregator’s coordination; day-ahead reserve market; electrical distribution system; electric vehicles; optimization; renewable distributed generation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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