Operation Optimization of a Microgrid based on Minimization of Power Loss and Improvement of Voltage Stability

Duy C. Huynh; Loc D. Ho; Matthew W. Dunnigan; Corina Barbalata

doi:10.1109/icsse58758.2023.10227242

Operation Optimization of a Microgrid based on Minimization of Power Loss and Improvement of Voltage Stability

Duy C. Huynh, Loc D. Ho, Matthew W. Dunnigan, Corina Barbalata

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

1 Citation (Scopus)

Abstract

Microgrid is receiving more and more attention, which is considered one of the solutions to efficiently supply electrical energy to loads. During the operation of the microgrid, the power loss and voltage stability of the microgrid are the main indicators to evaluate the operational efficiency. The solution of using distributed generators (DG) is becoming more and more popular to improve the performance of the microgrid. The main challenge of this solution is the determination of the optimal allocation of DGs in the microgrid. This paper proposes a water wave optimization (WWO) algorithm to identify the optimal allocation of DGs in the microgrid for power loss reduction and voltage stability improvement. The WWO algorithm-based achievements are compared with those using a genetic algorithm (GA) and a particle swarm optimization (PSO) algorithm to confirm the effectiveness of the proposal in the minimization of power loss and improvement of voltage stability.

Original language	English
Title of host publication	2023 International Conference on System Science and Engineering (ICSSE)
Publisher	IEEE
Pages	395-400
Number of pages	6
ISBN (Electronic)	9798350322941
DOIs	https://doi.org/10.1109/icsse58758.2023.10227242
Publication status	Published - 29 Aug 2023
Event	2023 International Conference on System Science and Engineering - Ho Chi Minh, Viet Nam Duration: 27 Jul 2023 → 28 Jul 2023

Conference

Conference	2023 International Conference on System Science and Engineering
Abbreviated title	ICSSE 2023
Country/Territory	Viet Nam
City	Ho Chi Minh
Period	27/07/23 → 28/07/23

Keywords

microgrid
operation optimization
power loss
voltage stability

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Computer Vision and Pattern Recognition
Energy Engineering and Power Technology
Control and Systems Engineering
Control and Optimization

Access to Document

10.1109/icsse58758.2023.10227242

Cite this

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title = "Operation Optimization of a Microgrid based on Minimization of Power Loss and Improvement of Voltage Stability",

abstract = "Microgrid is receiving more and more attention, which is considered one of the solutions to efficiently supply electrical energy to loads. During the operation of the microgrid, the power loss and voltage stability of the microgrid are the main indicators to evaluate the operational efficiency. The solution of using distributed generators (DG) is becoming more and more popular to improve the performance of the microgrid. The main challenge of this solution is the determination of the optimal allocation of DGs in the microgrid. This paper proposes a water wave optimization (WWO) algorithm to identify the optimal allocation of DGs in the microgrid for power loss reduction and voltage stability improvement. The WWO algorithm-based achievements are compared with those using a genetic algorithm (GA) and a particle swarm optimization (PSO) algorithm to confirm the effectiveness of the proposal in the minimization of power loss and improvement of voltage stability.",

keywords = "microgrid, operation optimization, power loss, voltage stability",

author = "Huynh, {Duy C.} and Ho, {Loc D.} and Dunnigan, {Matthew W.} and Corina Barbalata",

year = "2023",

month = aug,

day = "29",

doi = "10.1109/icsse58758.2023.10227242",

language = "English",

pages = "395--400",

booktitle = "2023 International Conference on System Science and Engineering (ICSSE)",

publisher = "IEEE",

address = "United States",

note = "2023 International Conference on System Science and Engineering, ICSSE 2023 ; Conference date: 27-07-2023 Through 28-07-2023",

}

Huynh, DC, Ho, LD, Dunnigan, MW & Barbalata, C 2023, Operation Optimization of a Microgrid based on Minimization of Power Loss and Improvement of Voltage Stability. in 2023 International Conference on System Science and Engineering (ICSSE). IEEE, pp. 395-400, 2023 International Conference on System Science and Engineering, Ho Chi Minh, Viet Nam, 27/07/23. https://doi.org/10.1109/icsse58758.2023.10227242

TY - GEN

T1 - Operation Optimization of a Microgrid based on Minimization of Power Loss and Improvement of Voltage Stability

AU - Huynh, Duy C.

AU - Ho, Loc D.

AU - Dunnigan, Matthew W.

AU - Barbalata, Corina

PY - 2023/8/29

Y1 - 2023/8/29

N2 - Microgrid is receiving more and more attention, which is considered one of the solutions to efficiently supply electrical energy to loads. During the operation of the microgrid, the power loss and voltage stability of the microgrid are the main indicators to evaluate the operational efficiency. The solution of using distributed generators (DG) is becoming more and more popular to improve the performance of the microgrid. The main challenge of this solution is the determination of the optimal allocation of DGs in the microgrid. This paper proposes a water wave optimization (WWO) algorithm to identify the optimal allocation of DGs in the microgrid for power loss reduction and voltage stability improvement. The WWO algorithm-based achievements are compared with those using a genetic algorithm (GA) and a particle swarm optimization (PSO) algorithm to confirm the effectiveness of the proposal in the minimization of power loss and improvement of voltage stability.

AB - Microgrid is receiving more and more attention, which is considered one of the solutions to efficiently supply electrical energy to loads. During the operation of the microgrid, the power loss and voltage stability of the microgrid are the main indicators to evaluate the operational efficiency. The solution of using distributed generators (DG) is becoming more and more popular to improve the performance of the microgrid. The main challenge of this solution is the determination of the optimal allocation of DGs in the microgrid. This paper proposes a water wave optimization (WWO) algorithm to identify the optimal allocation of DGs in the microgrid for power loss reduction and voltage stability improvement. The WWO algorithm-based achievements are compared with those using a genetic algorithm (GA) and a particle swarm optimization (PSO) algorithm to confirm the effectiveness of the proposal in the minimization of power loss and improvement of voltage stability.

KW - microgrid

KW - operation optimization

KW - power loss

KW - voltage stability

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U2 - 10.1109/icsse58758.2023.10227242

DO - 10.1109/icsse58758.2023.10227242

M3 - Conference contribution

SP - 395

EP - 400

BT - 2023 International Conference on System Science and Engineering (ICSSE)

PB - IEEE

T2 - 2023 International Conference on System Science and Engineering

Y2 - 27 July 2023 through 28 July 2023

ER -

Operation Optimization of a Microgrid based on Minimization of Power Loss and Improvement of Voltage Stability

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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