An Energy Management Method for a Microgrid Group Considering Uncertainty Models

Panbao Wang; Lingling Tan; Xiaochen Zhang; Wei Wang; Dianguo Xu

doi:10.1109/ICEMS.2019.8921837

An Energy Management Method for a Microgrid Group Considering Uncertainty Models

Panbao Wang
, Lingling Tan
, Xiaochen Zhang
, Wei Wang
, Dianguo Xu

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

2 Citations (Scopus)

Abstract

With the rapid development of microgrid (MG) technology, the microgrids in a certain area interconnect and constitute a microgrid group, which can mutually supply each other to meet regional power supply requirements. Uncertain factors such as wind speed, light intensity and load affect the operation of the microgrid group. This paper proposes a microgrid group energy management method that considers uncertainty. According to the probability density function of the wind speed, light intensity and the load, the uncertainty model of wind turbine (WT) output, photovoltaic (PV) output and load is derived, and the more realistic prediction value is obtained by the uncertainty model. First, the energy trade between the microgrids. Then, by using multi-time scale technique, the day-ahead scheduling plan is determined based on the predicted data, and on top of that, the plan is optimized based on the latest data. The particle swarm optimization (PSO) is used to minimize the operating costs of the microgrid group. The effectiveness of the proposed energy management method is verified by case simulation.

Original language	English
Title of host publication	2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728133980
DOIs	https://doi.org/10.1109/ICEMS.2019.8921837
Publication status	Published - Aug 2019
Externally published	Yes
Event	22nd International Conference on Electrical Machines and Systems, ICEMS 2019 - Harbin, China Duration: 11 Aug 2019 → 14 Aug 2019

Publication series

Name	2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

Conference

Conference	22nd International Conference on Electrical Machines and Systems, ICEMS 2019
Country/Territory	China
City	Harbin
Period	11/08/19 → 14/08/19

UN SDGs

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

SDG 7 Affordable and Clean Energy

Free Keywords

energy management
energy trading
microgrid group
uncertainty

ASJC Scopus subject areas

Control and Optimization
Energy Engineering and Power Technology
Control and Systems Engineering
Electrical and Electronic Engineering
Mechanical Engineering

Access to Document

10.1109/ICEMS.2019.8921837

Cite this

Wang, P., Tan, L., Zhang, X., Wang, W., & Xu, D. (2019). An Energy Management Method for a Microgrid Group Considering Uncertainty Models. In 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019 Article 8921837 (2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEMS.2019.8921837

@inproceedings{426c3643f227413eb5506e51aae5b046,

title = "An Energy Management Method for a Microgrid Group Considering Uncertainty Models",

abstract = "With the rapid development of microgrid (MG) technology, the microgrids in a certain area interconnect and constitute a microgrid group, which can mutually supply each other to meet regional power supply requirements. Uncertain factors such as wind speed, light intensity and load affect the operation of the microgrid group. This paper proposes a microgrid group energy management method that considers uncertainty. According to the probability density function of the wind speed, light intensity and the load, the uncertainty model of wind turbine (WT) output, photovoltaic (PV) output and load is derived, and the more realistic prediction value is obtained by the uncertainty model. First, the energy trade between the microgrids. Then, by using multi-time scale technique, the day-ahead scheduling plan is determined based on the predicted data, and on top of that, the plan is optimized based on the latest data. The particle swarm optimization (PSO) is used to minimize the operating costs of the microgrid group. The effectiveness of the proposed energy management method is verified by case simulation.",

keywords = "energy management, energy trading, microgrid group, uncertainty",

author = "Panbao Wang and Lingling Tan and Xiaochen Zhang and Wei Wang and Dianguo Xu",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 22nd International Conference on Electrical Machines and Systems, ICEMS 2019 ; Conference date: 11-08-2019 Through 14-08-2019",

year = "2019",

month = aug,

doi = "10.1109/ICEMS.2019.8921837",

language = "English",

series = "2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019",

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

booktitle = "2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019",

address = "United States",

}

Wang, P, Tan, L, Zhang, X, Wang, W & Xu, D 2019, An Energy Management Method for a Microgrid Group Considering Uncertainty Models. in 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019., 8921837, 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019, Institute of Electrical and Electronics Engineers Inc., 22nd International Conference on Electrical Machines and Systems, ICEMS 2019, Harbin, China, 11/08/19. https://doi.org/10.1109/ICEMS.2019.8921837

An Energy Management Method for a Microgrid Group Considering Uncertainty Models. / Wang, Panbao; Tan, Lingling; Zhang, Xiaochen et al.
2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8921837 (2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019).

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

TY - GEN

T1 - An Energy Management Method for a Microgrid Group Considering Uncertainty Models

AU - Wang, Panbao

AU - Tan, Lingling

AU - Zhang, Xiaochen

AU - Wang, Wei

AU - Xu, Dianguo

PY - 2019/8

Y1 - 2019/8

N2 - With the rapid development of microgrid (MG) technology, the microgrids in a certain area interconnect and constitute a microgrid group, which can mutually supply each other to meet regional power supply requirements. Uncertain factors such as wind speed, light intensity and load affect the operation of the microgrid group. This paper proposes a microgrid group energy management method that considers uncertainty. According to the probability density function of the wind speed, light intensity and the load, the uncertainty model of wind turbine (WT) output, photovoltaic (PV) output and load is derived, and the more realistic prediction value is obtained by the uncertainty model. First, the energy trade between the microgrids. Then, by using multi-time scale technique, the day-ahead scheduling plan is determined based on the predicted data, and on top of that, the plan is optimized based on the latest data. The particle swarm optimization (PSO) is used to minimize the operating costs of the microgrid group. The effectiveness of the proposed energy management method is verified by case simulation.

AB - With the rapid development of microgrid (MG) technology, the microgrids in a certain area interconnect and constitute a microgrid group, which can mutually supply each other to meet regional power supply requirements. Uncertain factors such as wind speed, light intensity and load affect the operation of the microgrid group. This paper proposes a microgrid group energy management method that considers uncertainty. According to the probability density function of the wind speed, light intensity and the load, the uncertainty model of wind turbine (WT) output, photovoltaic (PV) output and load is derived, and the more realistic prediction value is obtained by the uncertainty model. First, the energy trade between the microgrids. Then, by using multi-time scale technique, the day-ahead scheduling plan is determined based on the predicted data, and on top of that, the plan is optimized based on the latest data. The particle swarm optimization (PSO) is used to minimize the operating costs of the microgrid group. The effectiveness of the proposed energy management method is verified by case simulation.

KW - energy management

KW - energy trading

KW - microgrid group

KW - uncertainty

UR - https://www.scopus.com/pages/publications/85077121406

U2 - 10.1109/ICEMS.2019.8921837

DO - 10.1109/ICEMS.2019.8921837

M3 - Conference contribution

AN - SCOPUS:85077121406

T3 - 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

BT - 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

Y2 - 11 August 2019 through 14 August 2019

ER -

Wang P, Tan L, Zhang X, Wang W, Xu D. An Energy Management Method for a Microgrid Group Considering Uncertainty Models. In 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8921837. (2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019). doi: 10.1109/ICEMS.2019.8921837

An Energy Management Method for a Microgrid Group Considering Uncertainty Models

Abstract

Publication series

Conference

UN SDGs

Free Keywords

ASJC Scopus subject areas

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