TY - GEN
T1 - A comprehensive framework for distributed energy resource aggregators
AU - Campbell, Nicolas A.
AU - Peinado-Guerrero, Miguel A.
AU - Phelan, Patrick E.
AU - Villalobos, Jesus R.
N1 - Funding Information: Acknowledgment for this work goes to the U.S. Department of Energy, who, through their funding of the Industrial Assessment Program and its 31 centers across the nation, helped to inspire the development of this work. Publisher Copyright: Copyright © 2020 ASME.
PY - 2020
Y1 - 2020
N2 - An operational framework is proposed for managing aggregated distributed energy resources (DERs). Currently, aggregators partake in the energy market with minimal coordination or exchange of information with the concerned parties. In particular, demand response (DR) has yet to offer its potential value to the grid. It continues to be utilized as a bulk service for peak-shaving, served with little regard or accountability of the additional effects it brings. This has led to numerous issues surrounding DR events, mainly concerning the distribution system. In both practice and literature, there lacks a structured method for aggregators to operate optimally while addressing the issues observed. Most of the research found in literature pertains to a singular problem, for example, aggregating electric vehicles (EV), optimal bidding strategies, optimal scheduling, and congestion management using DR. The integration of these large concepts is not found in literature but is important in understanding the practical effects additional technical and financial constraints have on finding a practical, close-to-optimal solution. The framework proposed is comprehensive, containing all the components believed to be necessary for an aggregator to operate with respect to the distribution constraints. It is also conceptual and meant to emphasize the benefits the individual components and the complete framework offer.
AB - An operational framework is proposed for managing aggregated distributed energy resources (DERs). Currently, aggregators partake in the energy market with minimal coordination or exchange of information with the concerned parties. In particular, demand response (DR) has yet to offer its potential value to the grid. It continues to be utilized as a bulk service for peak-shaving, served with little regard or accountability of the additional effects it brings. This has led to numerous issues surrounding DR events, mainly concerning the distribution system. In both practice and literature, there lacks a structured method for aggregators to operate optimally while addressing the issues observed. Most of the research found in literature pertains to a singular problem, for example, aggregating electric vehicles (EV), optimal bidding strategies, optimal scheduling, and congestion management using DR. The integration of these large concepts is not found in literature but is important in understanding the practical effects additional technical and financial constraints have on finding a practical, close-to-optimal solution. The framework proposed is comprehensive, containing all the components believed to be necessary for an aggregator to operate with respect to the distribution constraints. It is also conceptual and meant to emphasize the benefits the individual components and the complete framework offer.
KW - Aggregator
KW - Demand response
KW - Distributed energy resources.
KW - Energy markets
KW - Framework
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U2 - 10.1115/POWER2020-16637
DO - 10.1115/POWER2020-16637
M3 - Conference contribution
T3 - American Society of Mechanical Engineers, Power Division (Publication) POWER
BT - ASME 2020 Power Conference, POWER 2020, collocated with the 2020 International Conference on Nuclear Engineering
PB - American Society of Mechanical Engineers (ASME)
T2 - 2019 Canadian Society for Civil Engineering Annual Conference, CSCE 2019
Y2 - 12 June 2019 through 15 June 2019
ER -