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This paper proposes a parallel computing method of topological analysis based on the partition of grid model data, and based on the smart grid dispatch control system it design and develop the parallel topology analysis service using the OpenMP shared memory programming model and C/C++ programming language. According to the layering and zoning features of the smart grid dispatch control system, this method divides the grid mode by area and power station. Package the topology search function and do parallel processing for mode data according to different area and power station, which can realize the parallel network topology analysis. The test result on the actual grid shows that this method has good stability and real-time, and it can meet the system online simulation, analysis and control applications requires for the topology analysis.

According to the characteristics of the wind farm measuration and the impact of bad data on the state estimation, this paper introduces the reference value of measurement type and the bad data reference factor into the weight function, and then presents the calculation method of state estimation method for solving residual contamination problem caused by large-scale wind power integration. In order to improve the software computing speed and the data section real-time performance of robust state estimation, using parallel algorithms to do Givens transformation. Finally, the simulation tests of a regional power grid to prove that the proposed method can effectively identify telemetry bad data of wind farms eliminate residual pollution caused by it, which improve the speed and accuracy of the State Estimation.

According to the characteristics of the wind farm measuration, this paper presents a Fine and Robust State Estimation method for solving residual contamination problem caused by large-scale wind power integration. This method introduces the reference value of measurement type into the weight function and uses the pre-check information of state estimation measurement to do SCADA measurement pretreatment, and then form the bad data reference factor to assist positioning the bad data of measurement. Finally, the simulation tests of a regional power grid to prove that the proposed method can effectively identify telemetry bad data of wind farms eliminate residual pollution caused by it, which improve the accuracy of the State Estimation.

This paper present a parallel solving method of large-scale power flow correction equations and the program implementation based on the shared memory programming model OpenMP, which Improve the utilization rate the computer CPU resources and the computing speed. The method uses factor tables for solving the power flow equations. Combined the sparsity of correction equations coefficient matrix, the rows which can be do normalized simultaneously are grouped for doing the normalization and elimination operations in parallel. Meanwhile, use the row grouping information which is obtained during the factor table generation process to do parallel previous generation computing. Finally, the simulation for the actual power grid verified the validity and rationality of the method.

This paper construct a large-scale power grid online analysis architecture based on "'Dispatch Cloud' architecture and combined with the power system characteristics and large grid dispatch system online analysis software features, it propose power grid online analysis software wide-area multi-level distributed parallel computing mode based on Dispatch Cloud Platform which is service oriented architecture (SOA). In this mode the coordination manage needed is achieved in the way of service encapsulation based SOA, including, data and model management services, computing resource management services, the job management and parallel computing services, In this mode the coordination manage needed is achieved in the way of service encapsulation based on SOA, including, data and model management services, computing resource management services, the job management and parallel computing services. which will provide theoretical and technical support to the large-scale power grid Online analysis software design and development Using Cloud technology.