Research on Energy Management Strategy of Intelligent Building Microgrid Based on Particle Swarm Optimization

Gaojun Ni; Wenjun Zheng; Ping Li; Kai Zheng; Songlin Yuan

doi:10.1109/PSET59452.2023.10346553

Research on Energy Management Strategy of Intelligent Building Microgrid Based on Particle Swarm Optimization

Gaojun Ni
, Wenjun Zheng
, Ping Li
, Kai Zheng
, Songlin Yuan

Physics

Zhejiang University
The Architectural Design & Research Institute of Zhejiang University Co.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The energy management optimization model of AC-DC hybrid microgrid system for intelligent buildings based on Simulink is introduced. Under the incentive of time-of-use price, the life expenditure of the energy storage battery is taken into account, and the optimal distribution scheme of the energy storage system under this time-of-use price is sought by using particle swarm optimization, so as to achieve the lowest daily cost of AC-DC hybrid microgrid. On this basis, the influence of the input and output power on the converter efficiency is further considered, and the maximum economic benefit of the system is realized by dynamically changing the charge-discharge power of the energy storage battery. A practical case is given to verify the effectiveness of the control strategy.

Original language	English
Title of host publication	2023 2nd International Conference on Power Systems and Electrical Technology, PSET 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	144-151
Number of pages	8
ISBN (Electronic)	9798350339703
DOIs	https://doi.org/10.1109/PSET59452.2023.10346553
State	Published - 2023
Event	2nd International Conference on Power Systems and Electrical Technology, PSET 2023 - Milan, Italy Duration: Aug 25 2023 → Aug 27 2023

Publication series

Name	2023 2nd International Conference on Power Systems and Electrical Technology, PSET 2023

Conference

Conference	2nd International Conference on Power Systems and Electrical Technology, PSET 2023
Country/Territory	Italy
City	Milan
Period	08/25/23 → 08/27/23

Keywords

AC/DC hybrid microgrid
daily cost
energy management system
particle swarm optimization
time-of-use electricity price

Access to Document

10.1109/PSET59452.2023.10346553

Cite this

Ni, G., Zheng, W., Li, P., Zheng, K., & Yuan, S. (2023). Research on Energy Management Strategy of Intelligent Building Microgrid Based on Particle Swarm Optimization. In 2023 2nd International Conference on Power Systems and Electrical Technology, PSET 2023 (pp. 144-151). (2023 2nd International Conference on Power Systems and Electrical Technology, PSET 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PSET59452.2023.10346553

Ni, Gaojun ; Zheng, Wenjun ; Li, Ping et al. / Research on Energy Management Strategy of Intelligent Building Microgrid Based on Particle Swarm Optimization. 2023 2nd International Conference on Power Systems and Electrical Technology, PSET 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 144-151 (2023 2nd International Conference on Power Systems and Electrical Technology, PSET 2023).

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title = "Research on Energy Management Strategy of Intelligent Building Microgrid Based on Particle Swarm Optimization",

abstract = "The energy management optimization model of AC-DC hybrid microgrid system for intelligent buildings based on Simulink is introduced. Under the incentive of time-of-use price, the life expenditure of the energy storage battery is taken into account, and the optimal distribution scheme of the energy storage system under this time-of-use price is sought by using particle swarm optimization, so as to achieve the lowest daily cost of AC-DC hybrid microgrid. On this basis, the influence of the input and output power on the converter efficiency is further considered, and the maximum economic benefit of the system is realized by dynamically changing the charge-discharge power of the energy storage battery. A practical case is given to verify the effectiveness of the control strategy.",

keywords = "AC/DC hybrid microgrid, daily cost, energy management system, particle swarm optimization, time-of-use electricity price",

author = "Gaojun Ni and Wenjun Zheng and Ping Li and Kai Zheng and Songlin Yuan",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2nd International Conference on Power Systems and Electrical Technology, PSET 2023 ; Conference date: 25-08-2023 Through 27-08-2023",

year = "2023",

doi = "10.1109/PSET59452.2023.10346553",

language = "English",

series = "2023 2nd International Conference on Power Systems and Electrical Technology, PSET 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "144--151",

booktitle = "2023 2nd International Conference on Power Systems and Electrical Technology, PSET 2023",

address = "United States",

}

Ni, G, Zheng, W, Li, P, Zheng, K & Yuan, S 2023, Research on Energy Management Strategy of Intelligent Building Microgrid Based on Particle Swarm Optimization. in 2023 2nd International Conference on Power Systems and Electrical Technology, PSET 2023. 2023 2nd International Conference on Power Systems and Electrical Technology, PSET 2023, Institute of Electrical and Electronics Engineers Inc., pp. 144-151, 2nd International Conference on Power Systems and Electrical Technology, PSET 2023, Milan, Italy, 08/25/23. https://doi.org/10.1109/PSET59452.2023.10346553

Research on Energy Management Strategy of Intelligent Building Microgrid Based on Particle Swarm Optimization. / Ni, Gaojun; Zheng, Wenjun; Li, Ping et al.
2023 2nd International Conference on Power Systems and Electrical Technology, PSET 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 144-151 (2023 2nd International Conference on Power Systems and Electrical Technology, PSET 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Research on Energy Management Strategy of Intelligent Building Microgrid Based on Particle Swarm Optimization

AU - Ni, Gaojun

AU - Zheng, Wenjun

AU - Li, Ping

AU - Zheng, Kai

AU - Yuan, Songlin

PY - 2023

Y1 - 2023

N2 - The energy management optimization model of AC-DC hybrid microgrid system for intelligent buildings based on Simulink is introduced. Under the incentive of time-of-use price, the life expenditure of the energy storage battery is taken into account, and the optimal distribution scheme of the energy storage system under this time-of-use price is sought by using particle swarm optimization, so as to achieve the lowest daily cost of AC-DC hybrid microgrid. On this basis, the influence of the input and output power on the converter efficiency is further considered, and the maximum economic benefit of the system is realized by dynamically changing the charge-discharge power of the energy storage battery. A practical case is given to verify the effectiveness of the control strategy.

AB - The energy management optimization model of AC-DC hybrid microgrid system for intelligent buildings based on Simulink is introduced. Under the incentive of time-of-use price, the life expenditure of the energy storage battery is taken into account, and the optimal distribution scheme of the energy storage system under this time-of-use price is sought by using particle swarm optimization, so as to achieve the lowest daily cost of AC-DC hybrid microgrid. On this basis, the influence of the input and output power on the converter efficiency is further considered, and the maximum economic benefit of the system is realized by dynamically changing the charge-discharge power of the energy storage battery. A practical case is given to verify the effectiveness of the control strategy.

KW - AC/DC hybrid microgrid

KW - daily cost

KW - energy management system

KW - particle swarm optimization

KW - time-of-use electricity price

UR - https://www.scopus.com/pages/publications/85182401599

U2 - 10.1109/PSET59452.2023.10346553

DO - 10.1109/PSET59452.2023.10346553

M3 - Conference contribution

AN - SCOPUS:85182401599

T3 - 2023 2nd International Conference on Power Systems and Electrical Technology, PSET 2023

SP - 144

EP - 151

BT - 2023 2nd International Conference on Power Systems and Electrical Technology, PSET 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd International Conference on Power Systems and Electrical Technology, PSET 2023

Y2 - 25 August 2023 through 27 August 2023

ER -

Ni G, Zheng W, Li P, Zheng K, Yuan S. Research on Energy Management Strategy of Intelligent Building Microgrid Based on Particle Swarm Optimization. In 2023 2nd International Conference on Power Systems and Electrical Technology, PSET 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 144-151. (2023 2nd International Conference on Power Systems and Electrical Technology, PSET 2023). doi: 10.1109/PSET59452.2023.10346553

Research on Energy Management Strategy of Intelligent Building Microgrid Based on Particle Swarm Optimization

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