Genetically optimized neuro-fuzzy IPFC for damping modal oscillations of power system
An integrated approach of radial basis function neural network (RBFNN) and Takagi-Sugeno (TS) fuzzy scheme with a genetic optimization of their parameters has been developed in this paper to design intelligent adaptive controllers for improving the transient stability performance of power systems. A...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2002
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2625/ http://shdl.mmu.edu.my/2625/1/1885.pdf |