LAPSE:2023.26257
Published Article
LAPSE:2023.26257
Optimization of Voltage Unbalance Compensation by Smart Inverter
April 3, 2023
This paper presents a compensation method for unbalanced voltage through active and reactive power control by utilizing a smart inverter that improves the voltage unbalance index and detects an unbalanced state of voltage magnitude and phase, and thus enhances power quality by minimizing the voltage imbalance. First of all, this paper presents an analysis of a mathematical approach, which demonstrates that the conventional voltage unbalanced factor (VUF) using the symmetrical component cannot correctly detect the imbalanced state from index equations; and by only minimizing the VUF value, it cannot establish a balanced condition for an unbalanced state of the voltage profile. This paper further discusses that intermittent photovoltaic (PV) output power and diversified load demand lead to an unexpected voltage imbalance. Therefore, considering the complexity of unbalanced voltage conditions, a specific load and an PV profile were extracted from big data and applied to the distribution system model. The effectiveness of the proposed scheme was verified by comparing VUF indices and controlling the active and reactive power of a smart inverter through a numerical simulation.
Keywords
distribution system, k-means clustering, Particle Swarm Optimization, smart inverter, symmetrical component, voltage unbalance
Suggested Citation
Shigenobu R, Nakadomari A, Hong YY, Mandal P, Takahashi H, Senjyu T. Optimization of Voltage Unbalance Compensation by Smart Inverter. (2023). LAPSE:2023.26257
Author Affiliations
Shigenobu R: Faculty of Engineering, Electrical and Electronics Engineering, Fukui University, 3-9-1 Bunkyo, Fukui-shi, Fukui 910-8507, Japan [ORCID]
Nakadomari A: Faculty of Engineering, University of the Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan [ORCID]
Hong YY: Department of Electrical Engineering, Chung Yuan Christian University, Taoyuan 32023, Taiwan [ORCID]
Mandal P: Department of Electrical and Computer Engineering, Power and Renewable Energy Systems (PRES) Lab, University of Texas at El Paso, El Paso, TX 79968, USA [ORCID]
Takahashi H: Fuji Electric Co., Ltd., Tokyo 141-0032, Japan
Senjyu T: Faculty of Engineering, University of the Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan [ORCID]
Journal Name
Energies
Volume
13
Issue
18
Article Number
E4623
Year
2020
Publication Date
2020-09-05
Published Version
ISSN
1996-1073
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Original Submission
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PII: en13184623, Publication Type: Journal Article
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LAPSE:2023.26257
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doi:10.3390/en13184623
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