@inproceedings{69895b98328b423f9fb1ac8b124147ce,
title = "Optimal monitoring allocation by considering voltage sags locating and disturbance tolerance",
abstract = "This paper presents a bi-level optimal allocation for voltage-sag monitors with the consideration of fault locating and disturbance tolerance ability. In the first level, a binary linear programming model is proposed for both symmetrical and asymmetrical faults. A binary gravity search algorithm (BGSA) is applied for solving the binary optimization problem. In the second level, to select the optimal allocation among all feasible solutions, the disturbance tolerance ability is modeled and quantified based on fuzzy inference. Allocation-level disturbance tolerance indexes are then obtained to determine the ultimate monitoring allocation. The IEEE 39-bus test system is used for the validation of proposed method.",
keywords = "BGSA, Disturbance tolerance, Fault locating, Fuzzy inference, MRA (Monitor Reach Area), Optimal allocation, Voltage-sag monitor",
author = "Haotian Sun and Xiaotong Du and Hao Yi and Fang Zhuo and Shanshan Luo and Juna Zhang and Xinxiang Wang and Yongheng Li",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE; 2018 China International Conference on Electricity Distribution, CICED 2018 ; Conference date: 17-09-2018 Through 19-09-2018",
year = "2018",
month = dec,
day = "27",
doi = "10.1109/CICED.2018.8592448",
language = "英语",
series = "China International Conference on Electricity Distribution, CICED",
publisher = "IEEE Computer Society",
pages = "954--959",
booktitle = "2018 China International Conference on Electricity Distribution, CICED 2018 - Proceedings",
}