Aggregation and Disaggregation of Energetic Flexibility from Distributed Energy Resources
Autor: | Jácint Szabó, John Lygeros, Fabian Müller, Olle Sundstrom |
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Rok vydání: | 2017 |
Předmět: |
Engineering
Leverage (finance) General Computer Science 020209 energy Distributed computing Energy resources Population 02 engineering and technology Systems and Control (eess.SY) Microeconomics Procurement Flexibility aggregation zonotope Electric energy consumption 0202 electrical engineering electronic engineering information engineering FOS: Electrical engineering electronic engineering information engineering education education.field_of_study business.industry 020208 electrical & electronic engineering Distributed generation Scalability Computer Science - Systems and Control Aggregate level business |
Zdroj: | IEEE Transactions on Smart Grid, 10 (2) |
ISSN: | 1949-3053 1949-3061 |
DOI: | 10.48550/arxiv.1705.02815 |
Popis: | A variety of energy resources has been identified as being flexible in their electric energy consumption or generation. This energetic flexibility can be used for various purposes such as minimizing energy procurement costs or providing ancillary services to power grids. To fully leverage the flexibility available from distributed small-scale resources, their flexibility must be quantified and aggregated. This paper introduces a generic and scalable approach for flexible energy systems to quantitatively describe and price their flexibility based on zonotopic sets. The description allows aggregators to efficiently aggregate the flexibility of large numbers of systems and to make control and market decisions on the aggregate level. In addition, an algorithm is presented that distributes aggregate-level control decisions among the individual systems of the population in an economically fair and computationally efficient way. The algorithm is applied to the problem of disaggregating reference schedules resulting from day-ahead energy markets. IEEE Transactions on Smart Grid, 10 (2) ISSN:1949-3053 ISSN:1949-3061 |
Databáze: | OpenAIRE |
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