The DOI matches its Crossref record; 144 of the 144 references it cites were found in a registry or an index.
Local flexibility markets: Literature review on concepts, models and clearing methods
Open accessAbstract
With high penetration of renewable generation and distributed energy resources, distribution systems are facing new operational challenges due to their intermittency and uncertainty. To cope with these challenges, distribution system operators are seeking for market tools to enable more active system management and control using flexibility. Local flexibility markets provide opportunities to trade flexibility among distribution system operators and other participants (e.g., aggregators) in an economically efficient way. Studies have been carried out to define the concepts, design the mechanisms and formulate the market clearing methods of local flexibility markets in the literature. Therefore, there is a need to classify and organize the literature on potential designs and market clearing methods of local flexibility markets. This paper reviews local flexibility markets, which are currently being discussed and designed to provide trading platforms for local participants, including distribution system operators and aggregators. Starting with a survey on the concepts and definitions of local flexibility markets, we summarize the key elements, technologies and participants of local flexibility markets. Afterwards the formulations of local flexibility markets and the solution methods for market clearing are reviewed, based on which future research directions and challenges are suggested in the last section of this paper.
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Cites
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Cited by
Exploiting demand-side flexibility: State-of-the-art, open issues and social perspective
D’Ettorre, F., Banaei, M., Ebrahimy, R., Pourmousavi, S. A., Blomgren, E. M. V., Kowalski, J., Bohdanowicz, Z., Łopaciuk-Gonczaryk, B., Biele, C., & Madsen, H. (2022) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2022.112605 · Cited by 160
Metadata
- Authors
- Jin, X., Wu, Q., & Jia, H.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 261
- Pages
- 114387
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W3000729534
- Cited by
- 373
- References
- 144
- FWCI
- 18.06
- Type
- journal article
- Language
- en
- Open access
- green
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.