A fuzzy logic based power system stabilizer with learning ability
Journal Article
·
· IEEE Transactions on Energy Conversion
- Univ. of Calgary, Alberta (Canada). Dept. of Electrical and Computer Engineering
A fuzzy logic based Power System Stabilizer (PSS) with learning ability is proposed in this paper. The proposed PSS employs a multilayer adaptive network. The network is trained directly from the input and the output of the generating unit. The algorithm combines the advantages of the Artificial neural Networks (ANNs) and Fuzzy Logic Control (FLC) schemes. Studies show that the proposed Adaptive-Network-Based Fuzzy Logic PSS (ANF PSS) can provide good damping of the power system over a wide range of operating conditions and improve the dynamic performance of the system.
- OSTI ID:
- 438802
- Report Number(s):
- CONF-960111--
- Journal Information:
- IEEE Transactions on Energy Conversion, Journal Name: IEEE Transactions on Energy Conversion Journal Issue: 4 Vol. 11; ISSN 0885-8969; ISSN ITCNE4
- Country of Publication:
- United States
- Language:
- English
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