Abstract-With the construction of UHV power grid, power grid operation gradually presents the integration characteristic. Hence, it is much more difficult for the current intelligent power grid dispatching and control system's bus to meet the needs of data exchange among the different dispatching agencies. According to the characteristics of the smart grid, a cloud bus architecture is proposed in this paper, while the power dispatching domain name, distributed proxy, cloud service management and access, cloud message management and transmission are studied in order to achieve sharing of services and efficient transmission of data and expound the prospect of cloud bus finally.Keywords-cloud bus; distributed proxy; cloud service management and access; cloud message management and transmission

Multi-channel multi-core CPU parallel and CPU+GPU heterogeneous parallel are effective means to enhance Network Analysis Application computing. To solve the job scheduling problem of Network Analysis Application with multi-level dispatching, multi-user, multi-task in CPU/GPU heterogeneous cluster environment, a multi-user concurrent job scheduling method for Network Analysis Application in CPU/GPU cluster is proposed. According to the characteristics of Network Analysis Application, it is suggested that state estimation and dispatcher power flow should be accelerated in parallel with CPU, while static security analysis, perturbation power flow calculation and interruption capacity scanning should be accelerated in parallel with CPU+GPU. The job scheduling method proposed in this paper can satisfy the high concurrent requests of multi-level Dispatching & Control Center in the isomorphic and heterogeneous computing environments.

Based on the Monte Carlo method, an improved risk assessment method for hybrid AC/DC power system with VSC station considering the operation status of generators, converter stations, AC lines and DC lines is proposed. According to the sequential AC/DC power flow algorithm, node voltage and line active power are solved, and then the operation risk indices of node voltage over-limit and line active power over-limit are calculated. Finally, an improved two-area IEEE RTS-96 system is taken as a case to analyze and assessment its operation risk. The results show that the proposed model and method can intuitively and directly reflect the weak nodes and weak lines of the system, which can provide some reference for the dispatching department.

This paper proposes a monitoring method of power dispatching automation master station based on clustering algorithm. Based on the application of history data, this method constructs multi-dimensional space vector, and generates operation state knowledge base by clustering algorithm. Real time data can be monitored and classified by using the generated knowledge base. The validity of the method is verified by a period of basic data. The results show that the method has better ability and accuracy to monitor power dispatching automation master station system, and it can provide reference for the selection of monitoring method of power dispatching automation master station.

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