A Distributed Control Architecture for Cascaded H-Bridge Converter with Integrated Battery Energy Storage
Abstract
Cascaded H-bridge topology has been used in grid-tied converters for battery energy storage system due to its modular structure. To fully utilize the converter’s modularity, this paper proposes a hierarchical distributed control architecture that consists of primary control, secondary control and battery state of charge (SOC) balancing control. Primary control ensures accurate current tracking while a distributed secondary control based on consensus algorithm is presented to regulate power sharing among modules and is proved to be stable theoretically. Here, a distributed SOC balancing control is further introduced to improve energy efficiency of battery energy storage system. Finally, the hierarchical distributed control strategy is implemented using hardware controllers and a software platform. Besides, a carrier phase shift control is also implemented to achieve multilevel output voltage and harmonic reduction. The experimental results demonstrate the performance of the proposed control scheme effectively.
- Authors:
-
- North Carolina State Univ., Raleigh, NC (United States)
- North Carolina State Univ. College of Engineering, Raleigh, NC (United States)
- Beijing Jiaotong Univ. (China)
- Publication Date:
- Research Org.:
- Vanderbilt Univ., Nashville, TN (United States)
- Sponsoring Org.:
- USDOE Advanced Research Projects Agency - Energy (ARPA-E)
- OSTI Identifier:
- 1728655
- Grant/Contract Number:
- AR0000666
- Resource Type:
- Accepted Manuscript
- Journal Name:
- IEEE Transactions on Industry Applications
- Additional Journal Information:
- Journal Volume: 57; Journal Issue: 1; Journal ID: ISSN 0093-9994
- Publisher:
- IEEE
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 25 ENERGY STORAGE; Battery SOC balancing; cascaded H-bridge; consensus algorithm; distributed control
Citation Formats
Xu, Bei, Tu, Hao, Du, Yuhua, Yu, Hui, Liang, Hui, and Lukic, Srdjan. A Distributed Control Architecture for Cascaded H-Bridge Converter with Integrated Battery Energy Storage. United States: N. p., 2020.
Web. doi:10.1109/tia.2020.3039430.
Xu, Bei, Tu, Hao, Du, Yuhua, Yu, Hui, Liang, Hui, & Lukic, Srdjan. A Distributed Control Architecture for Cascaded H-Bridge Converter with Integrated Battery Energy Storage. United States. https://doi.org/10.1109/tia.2020.3039430
Xu, Bei, Tu, Hao, Du, Yuhua, Yu, Hui, Liang, Hui, and Lukic, Srdjan. Thu .
"A Distributed Control Architecture for Cascaded H-Bridge Converter with Integrated Battery Energy Storage". United States. https://doi.org/10.1109/tia.2020.3039430. https://www.osti.gov/servlets/purl/1728655.
@article{osti_1728655,
title = {A Distributed Control Architecture for Cascaded H-Bridge Converter with Integrated Battery Energy Storage},
author = {Xu, Bei and Tu, Hao and Du, Yuhua and Yu, Hui and Liang, Hui and Lukic, Srdjan},
abstractNote = {Cascaded H-bridge topology has been used in grid-tied converters for battery energy storage system due to its modular structure. To fully utilize the converter’s modularity, this paper proposes a hierarchical distributed control architecture that consists of primary control, secondary control and battery state of charge (SOC) balancing control. Primary control ensures accurate current tracking while a distributed secondary control based on consensus algorithm is presented to regulate power sharing among modules and is proved to be stable theoretically. Here, a distributed SOC balancing control is further introduced to improve energy efficiency of battery energy storage system. Finally, the hierarchical distributed control strategy is implemented using hardware controllers and a software platform. Besides, a carrier phase shift control is also implemented to achieve multilevel output voltage and harmonic reduction. The experimental results demonstrate the performance of the proposed control scheme effectively.},
doi = {10.1109/tia.2020.3039430},
journal = {IEEE Transactions on Industry Applications},
number = 1,
volume = 57,
place = {United States},
year = {Thu Nov 19 00:00:00 EST 2020},
month = {Thu Nov 19 00:00:00 EST 2020}
}