Abstract
In this letter, a distributed model predictive control strategy for battery energy storage systems is proposed to regulate voltage in distribution network with high-renewable penetration. Control actions are calculated based on communication between interconnected neighboring subsystems and a multistep receding optimization, also considering system and battery constraints. The proposed approach is shown to be highly effective through a simulation case study, indicating high potential for applications. © 2010-2012 IEEE.
| Original language | English |
|---|---|
| Article number | 7175065 |
| Pages (from-to) | 2583-2585 |
| Journal | IEEE Transactions on Smart Grid |
| Volume | 6 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 1 Nov 2015 |
| Externally published | Yes |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Research Keywords
- Active distribution network
- distributed model predictive control
- energy storage system
RGC Funding Information
- RGC-funded
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