A New Stochastic Optimal Power Flow Method for Isolated Microgrids under Uncertainties

Daichen Liu; Cuo Zhang; ZhaoYang Dong

doi:10.1109/iSPEC53008.2021.9736100

A New Stochastic Optimal Power Flow Method for Isolated Microgrids under Uncertainties

Daichen Liu^*
, Cuo Zhang
, 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

With development of renewable energy sources, microgrids have been applied more widely since they are more suitable platforms for distributed generation. Considering emergencies encountered by the main grid can force microgrids to be switched from grid-tied mode to isolated one, a fast and effective optimal power flow (OPF) method for isolated microgrids is imperative to minimize operational cost and keep network operational constraints. Thus, this paper proposes a new OPF approach which is based on a linear power flow method with high computing efficiency. In this OPF approach, microturbine setpoints and load shedding rates are optimized to minimize the total system operational cost. Besides, uncertainties of renewable power generation and loads are formulated by a probabilistic state generation method and solved by a stochastic optimization. Thus, this paper finally proposes a new stochastic OPF approach for isolated microgrids under uncertainties, and its high computing efficiency and accuracy is validated by simulations. © 2021 IEEE.

Original language	English
Title of host publication	Proceedings - 2021 IEEE Sustainable Power and Energy Conference
Subtitle of host publication	Energy Transition for Carbon Neutrality, iSPEC 2021
Publisher	IEEE
Pages	163-168
ISBN (Electronic)	9781665414395
ISBN (Print)	9781665414401
DOIs	https://doi.org/10.1109/iSPEC53008.2021.9736100
Publication status	Published - Dec 2021
Externally published	Yes
Event	2021 IEEE Sustainable Power and Energy Conference (iSPEC 2021): Energy Transition for Carbon Neutrality - Nanjing, China Duration: 22 Dec 2021 → 24 Dec 2021 http://ieee-spec.csee.org.cn/#/

Publication series

Name	Proceedings - IEEE Sustainable Power and Energy Conference: Energy Transition for Carbon Neutrality, iSPEC

Conference

Conference	2021 IEEE Sustainable Power and Energy Conference (iSPEC 2021)
Place	China
City	Nanjing
Period	22/12/21 → 24/12/21
Internet address	http://ieee-spec.csee.org.cn/#/

UN SDGs

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

SDG 7 Affordable and Clean Energy

Research Keywords

Isolated microgrid
optimal power flow
probabilistic model
stochastic programming
uncertainty

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10.1109/iSPEC53008.2021.9736100

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Cite this

Liu, D., Zhang, C., & Dong, Z. (2021). A New Stochastic Optimal Power Flow Method for Isolated Microgrids under Uncertainties. In Proceedings - 2021 IEEE Sustainable Power and Energy Conference: Energy Transition for Carbon Neutrality, iSPEC 2021 (pp. 163-168). (Proceedings - IEEE Sustainable Power and Energy Conference: Energy Transition for Carbon Neutrality, iSPEC). IEEE. https://doi.org/10.1109/iSPEC53008.2021.9736100

Liu, Daichen ; Zhang, Cuo ; Dong, ZhaoYang. / A New Stochastic Optimal Power Flow Method for Isolated Microgrids under Uncertainties. Proceedings - 2021 IEEE Sustainable Power and Energy Conference: Energy Transition for Carbon Neutrality, iSPEC 2021. IEEE, 2021. pp. 163-168 (Proceedings - IEEE Sustainable Power and Energy Conference: Energy Transition for Carbon Neutrality, iSPEC).

@inproceedings{f36ee8d04fde44759bb4956ca6cb19f0,

title = "A New Stochastic Optimal Power Flow Method for Isolated Microgrids under Uncertainties",

abstract = "With development of renewable energy sources, microgrids have been applied more widely since they are more suitable platforms for distributed generation. Considering emergencies encountered by the main grid can force microgrids to be switched from grid-tied mode to isolated one, a fast and effective optimal power flow (OPF) method for isolated microgrids is imperative to minimize operational cost and keep network operational constraints. Thus, this paper proposes a new OPF approach which is based on a linear power flow method with high computing efficiency. In this OPF approach, microturbine setpoints and load shedding rates are optimized to minimize the total system operational cost. Besides, uncertainties of renewable power generation and loads are formulated by a probabilistic state generation method and solved by a stochastic optimization. Thus, this paper finally proposes a new stochastic OPF approach for isolated microgrids under uncertainties, and its high computing efficiency and accuracy is validated by simulations. {\textcopyright} 2021 IEEE.",

keywords = "Isolated microgrid, optimal power flow, probabilistic model, stochastic programming, uncertainty",

author = "Daichen Liu and Cuo Zhang and ZhaoYang Dong",

year = "2021",

month = dec,

doi = "10.1109/iSPEC53008.2021.9736100",

language = "English",

isbn = "9781665414401",

series = "Proceedings - IEEE Sustainable Power and Energy Conference: Energy Transition for Carbon Neutrality, iSPEC",

publisher = "IEEE",

pages = "163--168",

booktitle = "Proceedings - 2021 IEEE Sustainable Power and Energy Conference",

address = "United States",

note = "2021 IEEE Sustainable Power and Energy Conference (iSPEC 2021) : Energy Transition for Carbon Neutrality ; Conference date: 22-12-2021 Through 24-12-2021",

url = "http://ieee-spec.csee.org.cn/\#/",

}

Liu, D, Zhang, C & Dong, Z 2021, A New Stochastic Optimal Power Flow Method for Isolated Microgrids under Uncertainties. in Proceedings - 2021 IEEE Sustainable Power and Energy Conference: Energy Transition for Carbon Neutrality, iSPEC 2021. Proceedings - IEEE Sustainable Power and Energy Conference: Energy Transition for Carbon Neutrality, iSPEC, IEEE, pp. 163-168, 2021 IEEE Sustainable Power and Energy Conference (iSPEC 2021), Nanjing, China, 22/12/21. https://doi.org/10.1109/iSPEC53008.2021.9736100

A New Stochastic Optimal Power Flow Method for Isolated Microgrids under Uncertainties. / Liu, Daichen; Zhang, Cuo; Dong, ZhaoYang.
Proceedings - 2021 IEEE Sustainable Power and Energy Conference: Energy Transition for Carbon Neutrality, iSPEC 2021. IEEE, 2021. p. 163-168 (Proceedings - IEEE Sustainable Power and Energy Conference: Energy Transition for Carbon Neutrality, iSPEC).

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

TY - GEN

T1 - A New Stochastic Optimal Power Flow Method for Isolated Microgrids under Uncertainties

AU - Liu, Daichen

AU - Zhang, Cuo

AU - Dong, ZhaoYang

PY - 2021/12

Y1 - 2021/12

N2 - With development of renewable energy sources, microgrids have been applied more widely since they are more suitable platforms for distributed generation. Considering emergencies encountered by the main grid can force microgrids to be switched from grid-tied mode to isolated one, a fast and effective optimal power flow (OPF) method for isolated microgrids is imperative to minimize operational cost and keep network operational constraints. Thus, this paper proposes a new OPF approach which is based on a linear power flow method with high computing efficiency. In this OPF approach, microturbine setpoints and load shedding rates are optimized to minimize the total system operational cost. Besides, uncertainties of renewable power generation and loads are formulated by a probabilistic state generation method and solved by a stochastic optimization. Thus, this paper finally proposes a new stochastic OPF approach for isolated microgrids under uncertainties, and its high computing efficiency and accuracy is validated by simulations. © 2021 IEEE.

AB - With development of renewable energy sources, microgrids have been applied more widely since they are more suitable platforms for distributed generation. Considering emergencies encountered by the main grid can force microgrids to be switched from grid-tied mode to isolated one, a fast and effective optimal power flow (OPF) method for isolated microgrids is imperative to minimize operational cost and keep network operational constraints. Thus, this paper proposes a new OPF approach which is based on a linear power flow method with high computing efficiency. In this OPF approach, microturbine setpoints and load shedding rates are optimized to minimize the total system operational cost. Besides, uncertainties of renewable power generation and loads are formulated by a probabilistic state generation method and solved by a stochastic optimization. Thus, this paper finally proposes a new stochastic OPF approach for isolated microgrids under uncertainties, and its high computing efficiency and accuracy is validated by simulations. © 2021 IEEE.

KW - Isolated microgrid

KW - optimal power flow

KW - probabilistic model

KW - stochastic programming

KW - uncertainty

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85128078409&origin=recordpage

U2 - 10.1109/iSPEC53008.2021.9736100

DO - 10.1109/iSPEC53008.2021.9736100

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

SN - 9781665414401

T3 - Proceedings - IEEE Sustainable Power and Energy Conference: Energy Transition for Carbon Neutrality, iSPEC

SP - 163

EP - 168

BT - Proceedings - 2021 IEEE Sustainable Power and Energy Conference

PB - IEEE

T2 - 2021 IEEE Sustainable Power and Energy Conference (iSPEC 2021)

Y2 - 22 December 2021 through 24 December 2021

ER -

Liu D, Zhang C, Dong Z. A New Stochastic Optimal Power Flow Method for Isolated Microgrids under Uncertainties. In Proceedings - 2021 IEEE Sustainable Power and Energy Conference: Energy Transition for Carbon Neutrality, iSPEC 2021. IEEE. 2021. p. 163-168. (Proceedings - IEEE Sustainable Power and Energy Conference: Energy Transition for Carbon Neutrality, iSPEC). doi: 10.1109/iSPEC53008.2021.9736100

A New Stochastic Optimal Power Flow Method for Isolated Microgrids under Uncertainties

Abstract

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UN SDGs

Research Keywords

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