In this paper, we propose a grid active power loss calculation method based on partial priority clustering, which improves the calculation efficiency by utilizing the partial priority clustering algorithm and accurately divides the grid operation modes by fully utilizing the efficient clustering attribute of the correspondence between dataset of grid operation modes and grid loss values. The method proposed in this paper can analyze and process the large datasets accumulated during the long-term operation of the power grid and effectively perform evaluation on the grid active power loss. Results of grid simulation show that the calculation accuracy of this method is much higher than the traditional grid loss evaluation method.
Grid Planning, Excitation System Adjustment Coefficient, Reactive Compensation.
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