Abstract：The existing analytical models had to extern the variable dimension to consider the false alarms, thus they were difficult or time-consuming to be solved. To deal with this problem, a staged analytical model for power system fault diagnosis is proposed in this paper. In the first stage, the elements’ influence on the objective function was analyzed, and the fault measurement index, which considers both the protection relation and the circuit breaker relation, was then established to filter the suspect elements. In the second stage, the actual states of the protection and the circuit breaker were introduced into the fault hypothesis, and an improved objective function was constructed combining both the logic errors and information errors. The discrete particle swarm optimization was used to solve the above optimization problem, and according to the best solution, the fault elements as well as the actual states of the relays and circuit breakers can be obtained. Finally, the effectiveness and fault-tolerance of the proposed method were verified by many complex fault scenarios of the IEEE 39-bus system, which shows that this method has good prospect, since it can estimate the fault elements and evaluate abnormal alarms quickly and accurately, even with many false alarms.
徐彪, 尹项根, 张哲, 庞帅, 李旭升. 电网故障诊断的分阶段解析模型[J]. 电工技术学报, 2018, 33(17): 4113-4122.
Xu Biao, Yin Xianggen, Zhang Zhe, Pang Shuai, Li Xusheng. A Staged Analytical Model for Power System Fault Diagnosis. Transactions of China Electrotechnical Society, 2018, 33(17): 4113-4122.
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