Hybrid Management of Distributed PVs and BESSs in Unbalanced Distribution Networks Based on Day-ahead optimization and Real-time Droop Control

Xiangiing Su; Yang Fu; Sili Chen; Tianjian Wang; Yuqian Li; Zhaoyang Dong

doi:10.1109/PESGM41954.2020.9281890

Hybrid Management of Distributed PVs and BESSs in Unbalanced Distribution Networks Based on Day-ahead optimization and Real-time Droop Control

Xiangiing Su^*, Yang Fu, Sili Chen, Tianjian Wang, Yuqian Li, Zhaoyang Dong

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

To improve the operation of unbalanced active distribution networks, and address the battery energy storage system (BESS) scheduling and the rooftop photovoltaic (PV) integration problems, this study proposes a two-stage optimal control strategy, based on the combination of day-ahead BESS dispatching and Q-V real-time droop control. Specifically, a multi-objective day-ahead scheduling optimization model is presented firstly, with the objectives of network loss, voltage deviation, load curve variance and VUF deviation. The day-ahead BESS dispatching problem above is jointly solved by the direct load flow (DLF) method and particle swarm optimization (PSO) algorithm. On this basis, the real-time Q-V droop control is introduced to cope with local voltage violations due to load and PV forecast errors, considering of the reactive capability of distributed BESS and PV inverters. Finally, the proposed hybrid BESS control strategy is tested by detailed simulations on an Australian distribution network © 2020 IEEE.

Original language	English
Title of host publication	2020 IEEE Power and Energy Society General Meeting (PESGM)
Publisher	IEEE
ISBN (Electronic)	978-1-7281-5508-1
DOIs	https://doi.org/10.1109/PESGM41954.2020.9281890
Publication status	Published - 2020
Externally published	Yes
Event	2020 IEEE Power & Energy Society General Meeting (PESGM 2020) - Montreal, Canada Duration: 2 Aug 2020 → 6 Aug 2020

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2020-August
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2020 IEEE Power & Energy Society General Meeting (PESGM 2020)
Place	Canada
City	Montreal
Period	2/08/20 → 6/08/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Research Keywords

Battery energy storage system
Day-ahead dispatching
Droop control
Rooftop photovoltaic
Unbalanced network

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10.1109/PESGM41954.2020.9281890

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Cite this

Su, X., Fu, Y., Chen, S., Wang, T., Li, Y., & Dong, Z. (2020). Hybrid Management of Distributed PVs and BESSs in Unbalanced Distribution Networks Based on Day-ahead optimization and Real-time Droop Control. In 2020 IEEE Power and Energy Society General Meeting (PESGM) Article 9281890 (IEEE Power and Energy Society General Meeting; Vol. 2020-August). IEEE. https://doi.org/10.1109/PESGM41954.2020.9281890

@inproceedings{513c92f80b294e6da048c53c5522a892,

title = "Hybrid Management of Distributed PVs and BESSs in Unbalanced Distribution Networks Based on Day-ahead optimization and Real-time Droop Control",

abstract = "To improve the operation of unbalanced active distribution networks, and address the battery energy storage system (BESS) scheduling and the rooftop photovoltaic (PV) integration problems, this study proposes a two-stage optimal control strategy, based on the combination of day-ahead BESS dispatching and Q-V real-time droop control. Specifically, a multi-objective day-ahead scheduling optimization model is presented firstly, with the objectives of network loss, voltage deviation, load curve variance and VUF deviation. The day-ahead BESS dispatching problem above is jointly solved by the direct load flow (DLF) method and particle swarm optimization (PSO) algorithm. On this basis, the real-time Q-V droop control is introduced to cope with local voltage violations due to load and PV forecast errors, considering of the reactive capability of distributed BESS and PV inverters. Finally, the proposed hybrid BESS control strategy is tested by detailed simulations on an Australian distribution network {\textcopyright} 2020 IEEE.",

keywords = "Battery energy storage system, Day-ahead dispatching, Droop control, Rooftop photovoltaic, Unbalanced network",

author = "Xiangiing Su and Yang Fu and Sili Chen and Tianjian Wang and Yuqian Li and Zhaoyang Dong",

year = "2020",

doi = "10.1109/PESGM41954.2020.9281890",

language = "English",

series = "IEEE Power and Energy Society General Meeting",

publisher = "IEEE",

booktitle = "2020 IEEE Power and Energy Society General Meeting (PESGM)",

address = "United States",

note = "2020 IEEE Power & Energy Society General Meeting (PESGM 2020) ; Conference date: 02-08-2020 Through 06-08-2020",

}

Su, X, Fu, Y, Chen, S, Wang, T, Li, Y & Dong, Z 2020, Hybrid Management of Distributed PVs and BESSs in Unbalanced Distribution Networks Based on Day-ahead optimization and Real-time Droop Control. in 2020 IEEE Power and Energy Society General Meeting (PESGM)., 9281890, IEEE Power and Energy Society General Meeting, vol. 2020-August, IEEE, 2020 IEEE Power & Energy Society General Meeting (PESGM 2020), Montreal, Quebec, Canada, 2/08/20. https://doi.org/10.1109/PESGM41954.2020.9281890

Hybrid Management of Distributed PVs and BESSs in Unbalanced Distribution Networks Based on Day-ahead optimization and Real-time Droop Control. / Su, Xiangiing; Fu, Yang; Chen, Sili et al.
2020 IEEE Power and Energy Society General Meeting (PESGM). IEEE, 2020. 9281890 (IEEE Power and Energy Society General Meeting; Vol. 2020-August).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Hybrid Management of Distributed PVs and BESSs in Unbalanced Distribution Networks Based on Day-ahead optimization and Real-time Droop Control

AU - Su, Xiangiing

AU - Fu, Yang

AU - Chen, Sili

AU - Wang, Tianjian

AU - Li, Yuqian

AU - Dong, Zhaoyang

PY - 2020

Y1 - 2020

N2 - To improve the operation of unbalanced active distribution networks, and address the battery energy storage system (BESS) scheduling and the rooftop photovoltaic (PV) integration problems, this study proposes a two-stage optimal control strategy, based on the combination of day-ahead BESS dispatching and Q-V real-time droop control. Specifically, a multi-objective day-ahead scheduling optimization model is presented firstly, with the objectives of network loss, voltage deviation, load curve variance and VUF deviation. The day-ahead BESS dispatching problem above is jointly solved by the direct load flow (DLF) method and particle swarm optimization (PSO) algorithm. On this basis, the real-time Q-V droop control is introduced to cope with local voltage violations due to load and PV forecast errors, considering of the reactive capability of distributed BESS and PV inverters. Finally, the proposed hybrid BESS control strategy is tested by detailed simulations on an Australian distribution network © 2020 IEEE.

AB - To improve the operation of unbalanced active distribution networks, and address the battery energy storage system (BESS) scheduling and the rooftop photovoltaic (PV) integration problems, this study proposes a two-stage optimal control strategy, based on the combination of day-ahead BESS dispatching and Q-V real-time droop control. Specifically, a multi-objective day-ahead scheduling optimization model is presented firstly, with the objectives of network loss, voltage deviation, load curve variance and VUF deviation. The day-ahead BESS dispatching problem above is jointly solved by the direct load flow (DLF) method and particle swarm optimization (PSO) algorithm. On this basis, the real-time Q-V droop control is introduced to cope with local voltage violations due to load and PV forecast errors, considering of the reactive capability of distributed BESS and PV inverters. Finally, the proposed hybrid BESS control strategy is tested by detailed simulations on an Australian distribution network © 2020 IEEE.

KW - Battery energy storage system

KW - Day-ahead dispatching

KW - Droop control

KW - Rooftop photovoltaic

KW - Unbalanced network

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85099157284&origin=recordpage

U2 - 10.1109/PESGM41954.2020.9281890

DO - 10.1109/PESGM41954.2020.9281890

M3 - RGC 32 - Refereed conference paper (with host publication)

T3 - IEEE Power and Energy Society General Meeting

BT - 2020 IEEE Power and Energy Society General Meeting (PESGM)

PB - IEEE

T2 - 2020 IEEE Power & Energy Society General Meeting (PESGM 2020)

Y2 - 2 August 2020 through 6 August 2020

ER -

Su X, Fu Y, Chen S, Wang T, Li Y, Dong Z. Hybrid Management of Distributed PVs and BESSs in Unbalanced Distribution Networks Based on Day-ahead optimization and Real-time Droop Control. In 2020 IEEE Power and Energy Society General Meeting (PESGM). IEEE. 2020. 9281890. (IEEE Power and Energy Society General Meeting). Epub 2020 Dec 16. doi: 10.1109/PESGM41954.2020.9281890

Hybrid Management of Distributed PVs and BESSs in Unbalanced Distribution Networks Based on Day-ahead optimization and Real-time Droop Control

Abstract

Publication series

Conference

UN SDGs

Research Keywords

Access Output

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