Abstract-This paper proposes a novel reactive power dynamic monitoring and auto-compensation system for rural distribution network. The proposed system employs advanced reactive power measurement, Data Transfer Unit (DTU) and hybrid network communication. The technology based on Internet and General Packet Radio Service (GPRS) to achieve remote data exchange between control center and each distributed reactive power compensation equipment. Then the developed scheduling software in control center server will quick compute the best scheme of reactive power compensation according to the upload data and dispatch switching command by reverse communication pathway to implement dynamic reactive power compensation. Finally, the application test validates that the proposed system has good performance in reactive power dynamic monitoring and auto-compensation, and effectively guarantees the power quality in rural distribution network at the same time.
In this paper, design and implementation of a new parallel computing method based on CUDA (Compute Unified Device Architecture) platform is described in detail. The method includes algorithm of matrix fraction and partial LU decomposition that are used to support parallel computing for simulation of the whole scene test in power system. The paper describes all the steps of algorithm implementation for deploying the software with CUDA technology. And performances are evaluated by test, in which two Jacobi matrix equations of power flow calculation with different dimension are selected as the test case. The results are compared with that of serial computing and MPI (Message Passing Interface). The results show that the method proposed in this paper has better performance of acceleration on CUDA platform, which can support the simulation of the whole scene test on wide-area power grid.
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