Multiplexed model predictive control of energy storage system in distribution network
With an increase in distributed generation penetration in low voltage networks, voltage regulation has become increasingly difficult. The existing control schemes for voltage regulation can be divided into centralized, distributed and localized control. Distributed controllers offer numerous benefit...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175560 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | With an increase in distributed generation penetration in low voltage networks, voltage regulation has become increasingly difficult. The existing control schemes for voltage regulation can be divided into centralized, distributed and localized control. Distributed controllers offer numerous benefits compared to centralized control schemes, such as improved reliability, scalability, and flexibility as the individual components can be added, removed, or reconfigured without disrupting the entire system. In addition, they also preserve for privacy of the device owner as confidential data is not shared. This work proposes the multiplexed model predictive control (MMPC) scheme to control energy storage systems (ESS) for the voltage regulation in microgrids. The proposed method is tested on the IEEE-33 bus distribution network. The results were compared with alternating direction method of multiplier (ADMM) based control which is also a widely used distributed control method along with the centralized control. Results show that the MMPC scheme has lesser computation time compared to the centralized control and the ADMM method. It was also observed that although the MMPC solution was suboptimal, it was within an acceptable range. |
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