An Improved Protective Relaying Technique for Transmission Line Connected With UPFC and DFIG-Based Wind Farm

被引:0
|
作者
Mohanty, Subodh Kumar [1 ]
Mohapatra, Srikant [1 ]
Siano, Pierluigi [2 ,3 ]
机构
[1] KIIT Deemed Univ, Sch Elect Engn, Bhubaneswar 751024, India
[2] Univ Salerno, Dept Management & Innovat Syst, I-84084 Fisciano, SA, Italy
[3] Univ Johannesburg, Dept Elect & Elect Engn Sci, ZA-2006 Johannesburg, South Africa
关键词
Wind farms; Protective relaying; Protection; Doubly fed induction generators; Boosting; Impedance; Wind speed; Fault detection; Ensemble learning; Wind energy; Doubly fed induction generator (DFIG)-wind farm; fault classification; fault detection (FD); fast discrete S-transform (FDST); gradient boosting learning; unified power flow controller (UPFC) compensated line; POWER-FLOW CONTROLLER; FAULT-DETECTION; DISTANCE RELAY; CLASSIFICATION; ALGORITHM; SCHEME; SYSTEM; IMPACT; SERIES;
D O I
10.1109/TII.2024.3463707
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Nowadays, wind energy is one of the cleanest and most economically affordable generating sources and there is an increasing trend towards doubly fed induction generator (DFIG)-based wind farms integrated with power grids through unified power flow controller (UPFC) devices for extracting large amounts of electrical power. The conventional protective relaying scheme used in transmission lines (TLs) is mostly affected by the nonlinear variation of output power due to the fluctuation of wind speed and power control mode operation of UPFC. Therefore, a novel approach of fast discrete S-transform assisted gradient boosting ensemble method for fault detection and classification scheme is proposed in this article to overcome the problem of such TL relaying scheme. The proposed method requires only grid-side current information to process the intelligent relaying scheme for this UPFC-compensated line connecting the DFIG-based wind farm. The performance of the proposed method is tested with different cases through the MATLAB/Simulink platform for different wind speeds. The proposed method has a low computational burden as it requires only three-phase current information. The performance of the proposed method is further tested on a larger network, the modified IEEE 39-bus New England system with a wind farm. Finally, the results of comparative analysis with some earlier established techniques justify the efficacy of the proposed method for fault detection and classification tasks. The proposed method has 100% accuracy for fault detection and 99.86% accuracy for fault classification.
引用
收藏
页码:839 / 848
页数:10
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