Optimization of Voltage Unbalance Compensation by Smart Inverter
Ryuto Shigenobu,
Akito Nakadomari,
Ying-Yi Hong,
Paras Mandal,
Hiroshi Takahashi and
Tomonobu Senjyu
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Ryuto Shigenobu: Faculty of Engineering, Electrical and Electronics Engineering, Fukui University, 3-9-1 Bunkyo, Fukui-shi, Fukui 910-8507, Japan
Akito Nakadomari: Faculty of Engineering, University of the Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan
Ying-Yi Hong: Department of Electrical Engineering, Chung Yuan Christian University, Taoyuan 32023, Taiwan
Paras Mandal: Department of Electrical and Computer Engineering, Power and Renewable Energy Systems (PRES) Lab, University of Texas at El Paso, El Paso, TX 79968, USA
Hiroshi Takahashi: Fuji Electric Co., Ltd., Tokyo 141-0032, Japan
Tomonobu Senjyu: Faculty of Engineering, University of the Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan
Energies, 2020, vol. 13, issue 18, 1-22
Abstract:
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 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:18:p:4623-:d:409450
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