Microgrid Planning Considering the Uncertainty of Renewable Generation Profile

Zhao Wang; Xiong Wu; Ling Li; Ying Ying

doi:10.1109/CIEEC.2018.8745939

Microgrid Planning Considering the Uncertainty of Renewable Generation Profile

Zhao Wang
, Xiong Wu
, Ling Li
, Ying Ying

School of Electrical Engineering

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

5 Scopus citations

Abstract

The microgrid planning problem determines the optimal deployment of distributed energy resources (DERs) for a given load level. This paper proposes a microgrid planning model considering the uncertainty of renewable generation profile in daily operation. The proposed model aims to minimize the total cost including both the investment cost and operation cost for the candidate DERs during the project life. According to its specific structure, the problem is decomposed into an investment master problem and several operation subproblems. The uncertainty of renewable generation profile is considered in the subproblems. The microgrid planning problem is finally formulated as a robust optimization problem, and it is solved under the framework of column-and-constraint generation (CCG). The subproblem examines the optimality of the master problem by calculating the worst-case optimal operation under uncertainty. Corresponding cuts will be generated and augmented into the master problem in the iterations. The developed model is tested on a microgrid system. Simulation indicates that the proposed model is effective to make an optimal deployment of DERs considering the uncertainty of renewable generation profile.

Original language	English
Title of host publication	Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	34-39
Number of pages	6
ISBN (Electronic)	9781538653913
DOIs	https://doi.org/10.1109/CIEEC.2018.8745939
State	Published - Nov 2018
Event	2nd IEEE International Electrical and Energy Conference, CIEEC 2018 - Beijing, China Duration: 4 Nov 2018 → 6 Nov 2018

Publication series

Name	Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018

Conference

Conference	2nd IEEE International Electrical and Energy Conference, CIEEC 2018
Country/Territory	China
City	Beijing
Period	4/11/18 → 6/11/18

Keywords

column-and-constraint generation(CC&G)
microgrid planning
renewable generation profile
uncertainty

UN SDGs

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

Access to Document

10.1109/CIEEC.2018.8745939

Cite this

Wang, Z., Wu, X., Li, L., & Ying, Y. (2018). Microgrid Planning Considering the Uncertainty of Renewable Generation Profile. In Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018 (pp. 34-39). Article 8745939 (Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIEEC.2018.8745939

Wang, Zhao ; Wu, Xiong ; Li, Ling et al. / Microgrid Planning Considering the Uncertainty of Renewable Generation Profile. Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 34-39 (Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018).

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title = "Microgrid Planning Considering the Uncertainty of Renewable Generation Profile",

abstract = "The microgrid planning problem determines the optimal deployment of distributed energy resources (DERs) for a given load level. This paper proposes a microgrid planning model considering the uncertainty of renewable generation profile in daily operation. The proposed model aims to minimize the total cost including both the investment cost and operation cost for the candidate DERs during the project life. According to its specific structure, the problem is decomposed into an investment master problem and several operation subproblems. The uncertainty of renewable generation profile is considered in the subproblems. The microgrid planning problem is finally formulated as a robust optimization problem, and it is solved under the framework of column-and-constraint generation (CCG). The subproblem examines the optimality of the master problem by calculating the worst-case optimal operation under uncertainty. Corresponding cuts will be generated and augmented into the master problem in the iterations. The developed model is tested on a microgrid system. Simulation indicates that the proposed model is effective to make an optimal deployment of DERs considering the uncertainty of renewable generation profile.",

keywords = "column-and-constraint generation(CC\&G), microgrid planning, renewable generation profile, uncertainty",

author = "Zhao Wang and Xiong Wu and Ling Li and Ying Ying",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2nd IEEE International Electrical and Energy Conference, CIEEC 2018 ; Conference date: 04-11-2018 Through 06-11-2018",

year = "2018",

month = nov,

doi = "10.1109/CIEEC.2018.8745939",

language = "英语",

series = "Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018",

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Wang, Z, Wu, X, Li, L & Ying, Y 2018, Microgrid Planning Considering the Uncertainty of Renewable Generation Profile. in Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018., 8745939, Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 34-39, 2nd IEEE International Electrical and Energy Conference, CIEEC 2018, Beijing, China, 4/11/18. https://doi.org/10.1109/CIEEC.2018.8745939

Microgrid Planning Considering the Uncertainty of Renewable Generation Profile. / Wang, Zhao; Wu, Xiong; Li, Ling et al.
Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 34-39 8745939 (Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018).

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

TY - GEN

T1 - Microgrid Planning Considering the Uncertainty of Renewable Generation Profile

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AU - Wu, Xiong

AU - Li, Ling

AU - Ying, Ying

PY - 2018/11

Y1 - 2018/11

N2 - The microgrid planning problem determines the optimal deployment of distributed energy resources (DERs) for a given load level. This paper proposes a microgrid planning model considering the uncertainty of renewable generation profile in daily operation. The proposed model aims to minimize the total cost including both the investment cost and operation cost for the candidate DERs during the project life. According to its specific structure, the problem is decomposed into an investment master problem and several operation subproblems. The uncertainty of renewable generation profile is considered in the subproblems. The microgrid planning problem is finally formulated as a robust optimization problem, and it is solved under the framework of column-and-constraint generation (CCG). The subproblem examines the optimality of the master problem by calculating the worst-case optimal operation under uncertainty. Corresponding cuts will be generated and augmented into the master problem in the iterations. The developed model is tested on a microgrid system. Simulation indicates that the proposed model is effective to make an optimal deployment of DERs considering the uncertainty of renewable generation profile.

AB - The microgrid planning problem determines the optimal deployment of distributed energy resources (DERs) for a given load level. This paper proposes a microgrid planning model considering the uncertainty of renewable generation profile in daily operation. The proposed model aims to minimize the total cost including both the investment cost and operation cost for the candidate DERs during the project life. According to its specific structure, the problem is decomposed into an investment master problem and several operation subproblems. The uncertainty of renewable generation profile is considered in the subproblems. The microgrid planning problem is finally formulated as a robust optimization problem, and it is solved under the framework of column-and-constraint generation (CCG). The subproblem examines the optimality of the master problem by calculating the worst-case optimal operation under uncertainty. Corresponding cuts will be generated and augmented into the master problem in the iterations. The developed model is tested on a microgrid system. Simulation indicates that the proposed model is effective to make an optimal deployment of DERs considering the uncertainty of renewable generation profile.

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KW - microgrid planning

KW - renewable generation profile

KW - uncertainty

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ER -

Wang Z, Wu X, Li L, Ying Y. Microgrid Planning Considering the Uncertainty of Renewable Generation Profile. In Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 34-39. 8745939. (Proceedings of 2018 IEEE 2nd International Electrical and Energy Conference, CIEEC 2018). doi: 10.1109/CIEEC.2018.8745939

Microgrid Planning Considering the Uncertainty of Renewable Generation Profile

Abstract

Publication series

Conference

Keywords

UN SDGs

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