Research On Operational Risk Control For Power Grid Considering Power Transimission And Transformation Equipment

With the rapid economic growth, increasing demand for electricity, and increasing proportion of new energy, the grid is facing more and more uncertain factors. In recent years, frequent natural disasters, which have serious influence on power transmission and transformation equipment operation, result in the fault of power transmission and transformation equipment. Since the beginning of 21 century, the global power grid blackout accidents show that the traditional dispatching mode has been unable to meet the requirements of power grid operation and control in the new situation. Research on power grid operation risk control method, which fully meter the influence of power transmission and transformation equipment factors, in order to prevent the risk of uncertainty factors and enhance the level of power grid’s safe and stable operation, is of great significance.Aimed at the management of transmission and transformation equipment and the power grid operation risk control, this paper carries out the following research work:First, the vulnerability assessment method considering the weighted betweenness and well-being risk contribution is put forward. In the aspect of network structure, based on the complex network theory, the weighted average index is calculated. In the running state of the network, based on the well-being risk tracking model, risk contribution index is established considering the element sensitivity. At the same time, using two-state weather model, calculating the bad weather’s influence on component vulnerability. Integrated vulnerability index is proposed according to the weighted betweenness and well-being risk contribution index, and the power transmission and transformation equipment vulnerability assessment process is given. IEEE-RTS simulation results show that the method can fully take into account the influence of network topology and network running status on power transmission and transformation equipment vulnerability, and can identify the equipment on important transmission section.Secondly, transmission equipment panoramic information has the problem of multiple sources and heterogeneous characteristics, which hinders the efficient aggregation and deep data mining. Aiming at such problem, we proposes a multi-source heterogeneous data aggregation method based on improved hybrid ontology, which uses the semantic feature of ontology to solve the key problem of semantic heterogeneity in the aggregation process. This paper describes the process of multi-source heterogeneous polymerization based on ontology, and introduces the key technologies of data aggregation in detail, and gives the process of ontology construction and ontology mapping. The transparent access of heterogeneous data source layer is realized by this method, and the effective aggregation and deep mining of multi-source heterogeneous data are realized.Finally, fragile assessment and multi-source heterogeneous data aggregation method is applied in the risk control, in order to provide better scheduling decision for dispatchers. Combining with the needs of the project, we complete the research of the power grid operation risk control methods, and the design and the development of risk control system. The equipment vulnerability method is used for assessment of power transmission and transformation equipment fault diagnosis expert system, for the decision analysis. The functional modules of the system are detailed design, and the multi-source heterogeneous data of power transmission and transformation equipment polymerization method is used in the data flow. The B/S interface is used for the comprehensive display of the system. From the method to system and to structure, the risk assessment and control theory is explored in a step-by-step way, and the theory is applied to the actual situation, to carry better guide the value of the power grid risk management and control.