Fuzzy Neural Design of Power Systems Stabilizers
journal of kerbala university,
2009, Volume 5, Issue 3, Pages 333-345
AbstractThis paper presents a new approach of designing the Power Systems Stabilizer (PSS) that is based on fuzzy neural system. Adaptive Network based Fuzzy Inference System (ANFIS) is utilized in constructing the Fuzzy Neural Power Systems Stabilizer (FNPSS). The employment of ANFIS enables the system avoiding defects caused when using fuzzy logic and neural networks individually in designing an efficient PSS. Single Machine Infinite Bus (SMIB) power system has been taken as a case study to evaluate the suggested strategy performance. Simulation results have been conducted to confirm the approach validity.
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