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KMID : 0371819980300030222
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Nuclear Engineering and Technology
1998 Volume.30 No. 3 p.222 ~ p.234
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On-line Estimation of DNB Protection Limit via a Fuzzy Neural Network
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Na Man-Gyun
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Abstract
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The Westinghouse OT d T DNB protection logic heavily restricts the operation region by applying the same logic for a full range of operating pressure in order to maintain its simplicity. In this work, a fuzzy neural network method is used to estimate the DNB protection limit using the measured average temperature and pressure of a reactor core. Fuzzy system parameters are optimized by a hybrid teaming method. This algorithm uses a gradient descent algorithm to optimize the antecedent parameters and a least-squares algorithm to solve the consequent parameters. The proposed method is applied to Yonggwang 3&4 nuclear power plants and the proposed method has 5.99 percent larger thermal margin than the conventional OT d T trip logic. This simple algorithm provides a good information for the nuclear power plant operation and diagnosis by estimating the DNB protection limit each time step.
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