Proceedings of the 2016 International Conference on Energy, Power and Electrical Engineering

Interval Power Flow Analysis Based on Type-II Fuzzy Logic Forecasting

Authors
Ruihua Bi, Li Tao, Dongli Xu, Xiang Wang
Corresponding Author
Ruihua Bi
Available Online October 2016.
DOI
https://doi.org/10.2991/epee-16.2016.75How to use a DOI?
Keywords
interval power flow; type-II fuzzy logic forecasting; interval arithmetic; power analysis
Abstract

In the traditional power flow analysis, the output of generator is controllable and certain. While due to the intermittence and randomness of new energy resources, the output of new energy generator is uncertain, traditional power flow calculation cannot deal with this kind of uncertain power flow problem, thus type-II fuzzy logic forecasting and interval arithmetic are applied to solve this uncertain problem in the paper. Type-II fuzzy logic forecasting is used to get the output of generator in a mathematical sense that the uncertain variables can be express as an interval form, then interval arithmetic is applied to calculate power flow. As one of interval arithmetic, Krawczyk-Moore method is applied in power flow calculation in this paper, which convergence does not need to get inverse of interval matrix, and the initial interval obtained by type-II fuzzy logic can improve the problems of early convergence, slow convergence and no convergence which are drawbacks of interval arithmetic. The Algorithm is tested on IEEE 30-bus system to validate the applicability.

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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Volume Title
Proceedings of the 2016 International Conference on Energy, Power and Electrical Engineering
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
10.2991/epee-16.2016.75
ISSN
2352-5401
DOI
https://doi.org/10.2991/epee-16.2016.75How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Ruihua Bi
AU  - Li Tao
AU  - Dongli Xu
AU  - Xiang Wang
PY  - 2016/10
DA  - 2016/10
TI  - Interval Power Flow Analysis Based on Type-II Fuzzy Logic Forecasting
BT  - Proceedings of the 2016 International Conference on Energy, Power and Electrical Engineering
PB  - Atlantis Press
SP  - 334
EP  - 339
SN  - 2352-5401
UR  - https://doi.org/10.2991/epee-16.2016.75
DO  - https://doi.org/10.2991/epee-16.2016.75
ID  - Bi2016/10
ER  -