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Application of a Genetic Neuro-Fuzzy Logic to Departure from Nucleate Boiling Protection Limit Estimation
Volume 128 · Number 3 · December 1999 · Pages 327-340
Technical Paper · Reactor Operations and Control
Man Gyun Na
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A neuro-fuzzy method is used to estimate the departure from nucleate boiling (DNB) protection limit using the measured average temperature and pressure of a reactor core. The neuro-fuzzy system parameters are optimized by two learning methods. A genetic algorithm is used to optimize the antecedent parameters of the neuro-fuzzy inference system, and a least-squares algorithm is used to solve the consequent parameters. Two neuro-fuzzy inference systems are used according to the pressure and temperature regions. The proposed method, which is applied to the Yonggwang 3 and 4 nuclear power plants, has a 6.09% larger thermal margin than the conventional Westinghouse OT T DNB protection logic. This simple algorithm can provide good information for nuclear power plant operation and diagnosis by estimating the DNB protection limit each time step.
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