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.
| Original language | English |
|---|---|
| Article number | 7175065 |
| Pages (from-to) | 2583-2585 |
| Number of pages | 3 |
| Journal | IEEE Transactions on Smart Grid |
| Volume | 6 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 1 Nov 2015 |
Keywords
- Active distribution network
- distributed model predictive control
- energy storage system
ASJC Scopus subject areas
- General Computer Science
