Practical Method for Mitigating Three-Phase Unbalance Based on Data-Driven User Phase Identification

Unbalanced operation of a three-phase distribution system could incur more power losses, compared with the balanced operation. So far, the phase information of users in low voltage areas is not recorded by power utilities and the three-phase unbalance degree is very significant in some low voltage d...

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Veröffentlicht in:IEEE transactions on power systems Jg. 35; H. 2; S. 1653 - 1656
Hauptverfasser: Liu, Shengyuan, Jin, Renyun, Qiu, Haifeng, Cui, Xueyuan, Lin, Zhenzhi, Lian, Zikuan, Lin, Zhian, Wen, Fushuan, Ding, Yi, Wang, Qin, Yang, Li
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.03.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Clustering
Clustering methods
Computer simulation
Integer programming
Laplace equations
Linear programming
Low voltage
Matrix decomposition
Mixed integer
Mixed integer linear programming
mixed integer linear programming (MILP)
Phase distribution
Phase identification
Power loss
Smart meters
spectral clustering
Switches
three-phase unbalance mitigation
Unbalance
user in low voltage area
Utilities
ISSN:0885-8950, 1558-0679
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Zusammenfassung:Unbalanced operation of a three-phase distribution system could incur more power losses, compared with the balanced operation. So far, the phase information of users in low voltage areas is not recorded by power utilities and the three-phase unbalance degree is very significant in some low voltage distribution systems. Given this background, this letter presents an integrated method for solving related issues including user phase identification based on spectral clustering and three-phase unbalance mitigation, and a Mixed Integer Linear Programming (MILP) model is then formulated. Some actual cases in Zhejiang province, China, are utilized to verify the effectiveness of the presented phase identification algorithm, and simulation results show that the three-phase unbalance can be significantly mitigated.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2020.2965770