Intelligent Risk Evaluation of Transmission Line Icing Based on Bayesian ANFIS

DOI

10.2991/iceep-16.2016.45How to use a DOI?

Keywords

Bayesian inference; Adaptive Network-based Fuzzy Inference Systems (ANFIS); Icing risk evaluation

Abstract

Transmission line icing is a serious threat to the security of power system. Risk evaluation for icing is the foundation of building ice disaster defense system and ensuring the safety of power system. In this paper, the index system of transmission line icing risk assessment was developed in consideration of the influence factors. By applying Bayesian inference to ANFIS, the Bayesian ANFIS icing risk evaluation model was established and was applied into practice. Experiments showed that, the ANFIS system can optimize the parameters of the network by applying Bayesian inference and has good learning abilities and adaptabilities. The method is effective and feasible in the risk evaluation of transmission line icing.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yali Huang
AU  - Tiannan Ma
AU  - Meiqiong Wu
AU  - Dongxiao Niu
PY  - 2016/11
DA  - 2016/11
TI  - Intelligent Risk Evaluation of Transmission Line Icing Based on Bayesian ANFIS
BT  - Proceedings of the 2016 5th International Conference on Energy and Environmental Protection (ICEEP 2016)
PB  - Atlantis Press
SP  - 260
EP  - 267
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-16.2016.45
DO  - 10.2991/iceep-16.2016.45
ID  - Huang2016/11
ER  -