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Distributed Generation Grid-Connected Method Based on Big Data Analysis

The large-scale integration of distributed PV into the distribution network will pose challenges to grid security. How to dissipate distributed PV power generation is particularly important. Aiming at the incomplete information of distribution network, a distributed generation grid-connected method based on big data analysis is proposed. The historical data of each link in the grid system is integrated, and the distributed power grid-connected capability analysis model is proposed. Considering the adjustment ability of different grid configuration modes, the voltage deviation and voltage fluctuation index are taken as the target value for quantitative calculation, and the safety indexes such as short-circuit current and branch current-carrying flow are taken as constraints, and the acceptance ability is analyzed. Finally, the effectiveness and feasibility of the proposed method are verified by the actual distribution network. The results show that the energy storage configuration is more obvious on the grid side than on the distributed generation side. Distributed PV consumption capacity can be greatly improved.