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

被引：87

作者：

Liu, Shengyuan ^{[1
]}

Cui, Xueyuan ^{[1
]}

Lin, Zhenzhi ^{[1
]}

Lian, Zikuan ^{[1
]}

Lin, Zhian ^{[1
]}

Wen, Fushuan ^{[1
]}

Ding, Yi ^{[1
]}

Wang, Qin ^{[2
]}

Yang, Li ^{[1
]}

Jin, Renyun ^{[3
]}

Qiu, Haifeng ^{[3
]}

机构：

[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Peoples R China

[2] Elect Power Res Inst, 3412 Hillview Ave, Palo Alto, CA 94304 USA

[3] State Grid Zhejiang Hangzhou Xiaoshan Power Suppl, Hangzhou, Peoples R China

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2020年 / 35卷 / 02期

基金：

国家重点研发计划;

关键词：

Phase identification; three-phase unbalance mitigation; user in low voltage area; spectral clustering; mixed integer linear programming (MILP);

D O I：

10.1109/TPWRS.2020.2965770

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：1653 / 1656

页数：4

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