Studies on the optimizing model of fault diagnosis for power network

Abstract

The optimizing model of fault diagnosis for power network is formulated as a 0-1 integer programming problem. The fault equipments can be determined by means of the refined mathematical manipulation. We make a deep study of the present optimizing models and their disadvantages, especially the problems of inconsequence and non-uniqueness of some diagnosis results, and find the cause of the non-uniqueness lies in the fact that the model only takes the influence of each protection into account and ignores the conjunct influence of main and back up protections. On the basis of this point, taking a general view of the configuration characteristics of present secondary systems and the features of the diagnosis information, an improved optimizing model of fault diagnosis for power network is proposed in this paper. The particularity of breaker malfunction protection is taken into account in the new model. The expecting status functions of the equipments are redefined. The preconditioning of the raw data for fault diagnosis and the realization of the system are also explicated briefly. Theoretic analysis and instance verifications indicate that the new model is more reasonable and the diagnosis results are exacter.