Research on Two-stage Identification of Distributed Photovoltaic Output Based on WGAN Data Reconstruction Technology

In recent years, the development of household distributed photovoltaics has been rapid, and its unobservable characteristics have brought huge challenges to the planning and control of the power grid and user energy management by the power sector. In view of this, this article proposes a two-stage identification method for distributed photovoltaic output based on data reconstruction technology. This method transforms the problem of distributed photovoltaic output identification into the problem of reconstruction of actual load missing data. Based on this, it fully considers the hidden photovoltaic feature information in the net load, corrects the photovoltaic output identification results, and achieves precise identification of the target user's photovoltaic output. Compared with existing methods, the proposed method does not need to consider the impact of environmental factors on photovoltaic output during identification, and the accuracy of the results identified by existing technologies is also significantly improved.