The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Control Strategies for Microgrids With Distributed Energy Storage Systems: An Overview
Open accessAbstract
This paper presents an overview of the state of the art control strategies specifically designed to coordinate distributed energy storage (ES) systems in microgrids. Power networks are undergoing a transition from the traditional model of centralised generation towards a smart decentralised network of renewable sources and ES systems, organised into autonomous microgrids. ES systems can provide a range of services, particularly when distributed throughout the power network. The introduction of distributed ES represents a fundamental change for power networks, increasing the network control problem dimensionality and adding long time-scale dynamics associated with the storage systems' state of charge levels. Managing microgrids with many small distributed ES systems requires new scalable control strategies that are robust to power network and communication network disturbances. This paper reviews the range of services distributed ES systems can provide, and the control challenges they introduce. The focus of this paper is a presentation of the latest decentralised, centralised and distributed multi-agent control strategies designed to coordinate distributed microgrid ES systems. Finally, multi-agent control with agents satisfying Wooldridge's definition of intelligence is proposed as a promising direction for future research.
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Cites
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Accurate electrical battery model capable of predicting runtime and I-V performance
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Morstyn, T., Farrell, N., Darby, S. J., & McCulloch, M. D. (2018) · Nature Energy · doi:10.1038/s41560-017-0075-y · Cited by 831
Self-citationGlobal Trends in High-Power On-Board Chargers for Electric Vehicles
Khaligh, A., & D'Antonio, M. (2019) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2019.2897050 · Cited by 652
Privacy-Preserving Energy Trading Using Consortium Blockchain in Smart Grid
Gai, K., Wu, Y., Zhu, L., Qiu, M., & Shen, M. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2893433 · Cited by 573
Bilateral Contract Networks for Peer-to-Peer Energy Trading
Morstyn, T., Teytelboym, A., & Mcculloch, M. D. (2019) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2017.2786668 · Cited by 543
Self-citationMulticlass Energy Management for Peer-to-Peer Energy Trading Driven by Prosumer Preferences
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Metadata
- Authors
- Morstyn, T., Hredzak, B., & Agelidis, V. G.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2018-07
- Volume
- 9
- Issue
- 4
- Pages
- 3652-3666
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2560199170
- Cited by
- 454
- References
- 7
- FWCI
- 28.06
- Type
- journal article
- Language
- en
- Open access
- green
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