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Prediction Model of Short-term Load in Power System Based on Interval Type-2 Fuzzy Logic.

Authors :
Yun-Peng Li
Jie-Sheng Wang
Ming-Wei Wang
Source :
IAENG International Journal of Computer Science; Sep2021, Vol. 48 Issue 3, p646-652, 7p
Publication Year :
2021

Abstract

The operation schedule system in electric power system needs to predict the short-term load on-line in that its prediction accuracy has great influence on the technique and economic performance index. A prediction model on short-term load of power system was put forward based on the interval type-2 fuzzy logic system (IT2FLS). Firstly, IT2FLS and the corresponding prediction model are discussed in details. Then interval type-1 fuzzy sets (IT1FSs) and IT2FLS based forecasting algorithms are adopted to realize the prediction of the chaotic time series and short-term load in electric power system. Simulation results show the effectiveness of proposed prediction method with higher prediction accuracy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1819656X
Volume :
48
Issue :
3
Database :
Supplemental Index
Journal :
IAENG International Journal of Computer Science
Publication Type :
Academic Journal
Accession number :
152234466