Journal article
Cooperative Multiagent Based Distributed Power Sharing Strategy in Low-Voltage Microgrids
IEEE Transactions on Industry Applications, Vol.56(4), pp.3285-3296
2020
Abstract
In this article, a cooperative multiagent system (MAS) is presented for proportional power sharing in microgrids through a coupling of distributed control and communication techniques. Due to natural intermittency of wind and solar along with the limited capacity of battery storages, it is essential to manage optimal power sharing to ensure the supply-demand balance as well as minimizing the generation cost to achieve an economical operation of the system. In order to optimally utilize the battery storage capacity, this article emphasizes the proportional power sharing from power electronic inverter interfaced battery storage units. A benchmark low-voltage (LV) microgrid is considered and the MAS framework is developed through the well-known graph theory to enable a communication link among the controllable battery inverters, where each agent is considered to be embedded to the battery inverter control unit. An optimal linear quadratic regulator is designed within a distributed control context to regulate the power injections into the system from the battery inverters. Simulations are justified under practical circumstances of wind and solar intermittency, and communication constraints where the accuracy of power sharing is achieved through consensus algorithm via information exchange among the control agents.
Details
- Title
- Cooperative Multiagent Based Distributed Power Sharing Strategy in Low-Voltage Microgrids
- Authors
- Md Shihanur Rahman (Author) - Australian Energy Market Operator, Melbourne, Vic, AustraliaTahsin Orchi (Author) - Deakin UniversitySajeeb Saha (Author) - Deakin UniversityMd Enamul Haque (Author) - Deakin University
- Publication details
- IEEE Transactions on Industry Applications, Vol.56(4), pp.3285-3296
- Publisher
- Institute of Electrical and Electronics Engineers
- Date published
- 2020
- DOI
- 10.1109/TIA.2020.2986449
- ISSN
- 1939-9367; 0093-9994
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99532308102621
- Output Type
- Journal article
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- Engineering, Electrical & Electronic
- Engineering, Multidisciplinary
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