Abstract
| Language | English |
|---|---|
| Article number | 8444726 |
| Pages | 4323-4337 |
| Number of pages | 15 |
| Journal | IEEE Transactions on Smart Grid |
| Volume | 10 |
| Issue number | 4 |
| Early online date | 23 Aug 2018 |
| DOIs | |
| Publication status | Published - 31 Jul 2019 |
Fingerprint
Keywords
- DC microgrid
- WSN
- distributed state estimation
- event-triggered control
- publish-subscribe model
Cite this
}
A Distributed Event-Triggered Control Strategy for DC Microgrids Based on Publish-Subscribe Model Over Industrial Wireless Sensor Networks. / Alavi, Seyed Amir; Mehran, Kamyar; Hao, Yang; Rahimian, Ardavan; Mirsaeedi, Hamed; Vahidinasab, Vahid.
In: IEEE Transactions on Smart Grid, Vol. 10, No. 4, 8444726, 31.07.2019, p. 4323-4337.Research output: Contribution to journal › Article
TY - JOUR
T1 - A Distributed Event-Triggered Control Strategy for DC Microgrids Based on Publish-Subscribe Model Over Industrial Wireless Sensor Networks
AU - Alavi, Seyed Amir
AU - Mehran, Kamyar
AU - Hao, Yang
AU - Rahimian, Ardavan
AU - Mirsaeedi, Hamed
AU - Vahidinasab, Vahid
N1 - Available on Queen Mary's Uni Portal. Ardavan is a new member of staff - employed Sep 2019
PY - 2019/7/31
Y1 - 2019/7/31
N2 - This paper presents a complete design, analysis, and performance evaluation of a novel distributed event-triggered control and estimation strategy for dc microgrids. The primary objective of this work is to efficiently stabilize the grid voltage, and to further balance the energy level of the energy storage systems. The locally-installed distributed controllers are utilized to reduce the number of transmitted packets and battery usage of the installed sensors, based on a proposed event-triggered communication scheme. Also, to reduce the network traffic, an optimal observer is employed which utilizes a modified Kalman consensus filter to estimate the state of the dc microgrid via the distributed sensors. Furthermore, in order to effectively provide an intelligent data exchange mechanism for the proposed event-triggered controller, the publish-subscribe communication model is employed to setup a distributed control infrastructure in industrial wireless sensor networks. The performance of the proposed control and estimation strategy is validated via the simulations of a dc microgrid composed of renewable energy sources. The results confirm the appropriateness of the implemented strategy for the optimal utilization of the advanced industrial network architectures in the smart grids.
AB - This paper presents a complete design, analysis, and performance evaluation of a novel distributed event-triggered control and estimation strategy for dc microgrids. The primary objective of this work is to efficiently stabilize the grid voltage, and to further balance the energy level of the energy storage systems. The locally-installed distributed controllers are utilized to reduce the number of transmitted packets and battery usage of the installed sensors, based on a proposed event-triggered communication scheme. Also, to reduce the network traffic, an optimal observer is employed which utilizes a modified Kalman consensus filter to estimate the state of the dc microgrid via the distributed sensors. Furthermore, in order to effectively provide an intelligent data exchange mechanism for the proposed event-triggered controller, the publish-subscribe communication model is employed to setup a distributed control infrastructure in industrial wireless sensor networks. The performance of the proposed control and estimation strategy is validated via the simulations of a dc microgrid composed of renewable energy sources. The results confirm the appropriateness of the implemented strategy for the optimal utilization of the advanced industrial network architectures in the smart grids.
KW - DC microgrid
KW - WSN
KW - distributed state estimation
KW - event-triggered control
KW - publish-subscribe model
UR - http://www.scopus.com/inward/record.url?scp=85052693073&partnerID=8YFLogxK
U2 - 10.1109/TSG.2018.2856893
DO - 10.1109/TSG.2018.2856893
M3 - Article
VL - 10
SP - 4323
EP - 4337
JO - IEEE Transactions on Smart Grid
T2 - IEEE Transactions on Smart Grid
JF - IEEE Transactions on Smart Grid
SN - 1949-3053
IS - 4
M1 - 8444726
ER -