Huang Liang

Risk assessment model of relay protection system based on multi-state Bayesian networks

Relay protection is important for power systems stable operation. However, logic state of traditional Bayesian network is simplex. To adapt to the relay protection system operation environment with increasing complexity in current years, a risk assessment model of relay protection system based on multiple-state Bayesian networks is established with dynamic and static indexes. Taking advantages of figurative expression of Bayesian network, the model can express multiple states of system and probability clearly, and also can calculate the risk grade by using qualitative and quantitative analysis of multi-state Bayesian networks.

State comprehensive evaluation of secondary equipment in an intelligent substation based on real-time information

Secondary equipment of real-time information on its status evaluation plays a very important role. And the development of secondary equipment intellectualization and change the way of communication, the equipment real-time state information in an intelligent substation secondary can through the device self-checking information data to realize the online monitoring and network analyzer. Comprehensive evaluation model of secondary equipment health status based on real-time monitoring of environmental information is established. The analytic hierarchy process (AHP) and the subjective and objective combination method of the entropy weight method is used to reduce the weight deviation. Considering the serious information easy to be submerged risks in the process of traditional weighted, a mechanism of that serious information trigger weight fusing and redistribution weight correction is put forward, to ensure the accuracy of the evaluation results. The state evaluation results of fuzzy membership degree is transferred into the evaluation scores and the corresponding state level is determined. The rationality of the comprehensive status evaluation model proposed in the paper is verified by the example analysis.