A novel protection method for a wind farm collector line based on FCM clustering analysis

Yu, Kun; Liu, Zhanlei; Zhao, Guoxuan; Li, Jiazheng; Zhang, Xiangjun; Wang, Zhan

doi:10.1016/j.ijepes.2021.106863

Cited by 14 publications

(5 citation statements)

References 15 publications

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“…Although the adaptive methods proposed in References 7, 10, 13, 22–24 are robust to the effects of wind turbines and their power fluctuations, it is not effective against the effects of FACTS devices. These methods are based on the fault classification in the presence of distributed generation sources.…”

Section: Discussionmentioning

confidence: 99%

“…2 Despite numerous advantages of wind resources, the presence of WFs in distribution and transmission networks causes alternations that adversely affect the network protection scheme. [3][4][5][6][7][8] Because WF collector lines are normally short, [9][10][11][12] resistive faults can disturb the performance of distance relays of these lines and transmission lines. 13,14 The most common fault in a power grid is the single-phase-to-ground fault.…”

Section: Doubly-fed Induction Generator (Dfig)-basedmentioning

confidence: 99%

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A new adaptive coordination scheme of distance relays in DFIG ‐ based wind farm collector lines and transmission line compensated by STATCOM

Barati

Seifossadat

Joorabian

2021

Int Trans Electr Energ Syst

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This paper proposes an adaptive characteristic for eliminating the adverse effects of fault resistance and static synchronous compensator (STATCOM) on the performance of distance relays in transmission line and collector lines of doubly-fed induction generator (DFIG)-based wind farms in the case of singlephase-to-ground resistive faults. The proposed method improves the performance in distance relaying and maintains the coordination between relay pairs in the transmission line and wind farm collector lines. In this method, an adaptive coefficient that can modify the zone settings of conventional distance relays is added to their characteristic to improve the accuracy and coordination under the mentioned conditions. Using analytical relationships and numerical results from simulations in Matlab/Simulink environment, the efficiency of the proposed method is confirmed.

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Section: Discussionmentioning

confidence: 99%

Section: Doubly-fed Induction Generator (Dfig)-basedmentioning

confidence: 99%

A new adaptive coordination scheme of distance relays in DFIG ‐ based wind farm collector lines and transmission line compensated by STATCOM

Barati

Seifossadat

Joorabian

2021

Int Trans Electr Energ Syst

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“…Fuzzy C-mean clustering in the field of classification and evaluation has been a large number of research results. FCM cluster analysis method can qualitatively and quantitatively determine the "affinity" between the research objects and can be automatically classified into meaningful categories based on the degree of similarity between the objects in the absence of pre-given identification of the classified objects [23].…”

Section: Improved Fcm Clustering Algorithm Based On Ap Clusteringmentioning

confidence: 99%

Knowledge Graph-based Interactive Sharing Platform for Teaching English Majors in Colleges and Universities

Zhang

2023

Applied Mathematics and Nonlinear Sciences

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In this paper, we found that the traditional FCM clustering algorithm is over-sensitive to noise or outliers, and AP clustering is added on the basis of the FCM algorithm to improve and optimize the FCM algorithm. The improved and optimized algorithm is used to derive high-frequency words for teaching English majors, and the hot knowledge map of English teaching is studied according to the high-frequency words. Construct the knowledge map framework and utilize the knowledge map framework to build the U+ English teaching interactive sharing platform. Adopt a top-down approach to construct the knowledge graph, and after defining entity relationships and attributes, propose the learning path recommendation method of the U+ platform based on the knowledge graph. Comparative experiments are used to analyze the teaching effect of the U+ platform and students’ English learning engagement. After 8 weeks of interactive and shared learning on the U+ platform, the students in the experimental class improved their English single choice, perfect fill-in-the-blank, and reading comprehension scores by 2, 4, and 3 points, respectively, and the U+ platform had obvious help in improving the students’ English scores, and the platform was effective in teaching. The mean value of the positive dimension of learning engagement of the students in the experimental class is 4.1634, with an interval range of [4,4.3], and they are positively engaged in English learning, and the mean value of the negative dimension is 1.8341, with a range of [1.6,2.4], and there are fewer negative performances, and the U+ platform has a positive impact on the student’s English learning engagement.

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“…Its principle is fuzzy mathematics and fuzzy logic. Fuzzy clustering is a kind of clustering algorithm in which each object can partly belong to a certain class, that is, the value of membership degree is not limited to 0 and 1 but in the interval of [0,1] [21]. Objects no longer have either/or characteristics for classes but can belong to multiple classes at the same time, and the specific degree of belonging to classes can be expressed by a membership function [22].…”

Section: Fuzzy C-means Rough Setmentioning

confidence: 99%

Aviation and Airspace Management under Rough Set Theory

Zhu

Kan

2022

Mathematical Problems in Engineering

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With the development of aviation industry, a series of problems have appeared in aviation and airspace, among which the most prominent problem is the congestion of aviation and airspace. Airspace congestion has become a major problem in the development of civil aviation in China. Especially in the central and eastern regions of China, airspace congestion is becoming more and more serious. To better solve the problem of airspace congestion, rough set theory and the Fuzzy C-means (FCM) model are first analyzed. By analyzing the temporal and spatial characteristics of traffic congestion in the control sector, a multisector traffic congestion identification model is established based on radar track data. Four multisector congestion characteristics including equivalent traffic volume, proximity, saturation, and traffic density are established. FCM and rough set theory are used to classify and identify sector congestion. Finally, the model based on FCM-rough set theory is compared with other methods based on the data of the regional control sector in northwest China. The experimental results show that the congestion recognition rate of the model is 92.6%, 93.5%, and 94.2%, and the congestion misjudgment rate is 1.5%, 1.2%, and 1.3%, respectively. Hence, the multisector congestion recognition model has a high recognition rate and a low misjudgment rate, and the overall discrimination result is relatively stable. By comparing the proposed method with other methods, it is concluded that the recognition accuracy of the model based on FCM theory is superior to other methods. In summary, the congestion situation of the sector is affected by a variety of macro- and micro-characteristics of the sector, and the congestion identification model is feasible and efficient. Multisector traffic congestion identification has certain application value for airspace planning, air traffic control-assisted decision making, and air traffic flow management. This work can optimize the aviation and airspace management system and provide relevant suggestions for the study of aviation and airspace congestion.

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A novel protection method for a wind farm collector line based on FCM clustering analysis

Cited by 14 publications

References 15 publications

A new adaptive coordination scheme of distance relays in DFIG ‐ based wind farm collector lines and transmission line compensated by STATCOM

A new adaptive coordination scheme of distance relays in DFIG ‐ based wind farm collector lines and transmission line compensated by STATCOM

Knowledge Graph-based Interactive Sharing Platform for Teaching English Majors in Colleges and Universities

Aviation and Airspace Management under Rough Set Theory

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