Name
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TSG.2015.2449760 | IEEE Transactions on Smart Grid |
Keywords | Field | DocType |
Predictive control,Batteries,Optimization,Voltage control,Energy storage | Energy storage,Voltage control,Control theory,Voltage,Distribution networks,Model predictive control,Control engineering,Electronic engineering,Battery energy storage system,Engineering,Battery (electricity),Distributed model predictive control | Journal |
Volume | Issue | ISSN |
PP | 99 | 1949-3053 |
Citations | PageRank | References |
4 | 0.52 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Meng, K. | 1 | 21 | 4.81 |
| Rui Zhang | 2 | 1107 | 145.40 |
| Zhou Xu | 3 | 66 | 15.44 |
| Steven R. Weller | 4 | 166 | 18.46 |