Distributed Energy Resources Scheduling and Aggregation in the Context of Demand Response Programs
1
GECAD—Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, 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 2018, 11(8), 1987; https://doi.org/10.3390/en11081987
Received: 10 May 2018 / Revised: 26 July 2018 / Accepted: 30 July 2018 / Published: 31 July 2018
(This article belongs to the Special Issue Distributed Energy Resources Management 2018)
Distributed energy resources can contribute to an improved operation of power systems, improving economic and technical efficiency. However, aggregation of resources is needed to make these resources profitable. The present paper proposes a methodology for distributed resources management by a Virtual Power Player (VPP), addressing the resources scheduling, aggregation and remuneration based on the aggregation made. The aggregation is made using K-means algorithm. The innovative aspect motivating the present paper relies on the remuneration definition considering multiple scenarios of operation, by performing a multi-observation clustering. Resources aggregation and remuneration profiles are obtained for 2592 operation scenarios, considering 548 distributed generators, 20,310 consumers, and 10 suppliers.
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Keywords:
clustering; demand Response; distributed generation; smart grids
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MDPI and ACS Style
Faria, P.; Spínola, J.; Vale, Z. Distributed Energy Resources Scheduling and Aggregation in the Context of Demand Response Programs. Energies 2018, 11, 1987.
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