Research on Fuzzy Recognition Model for Multiple Scenarios of Voltage Exceeding Limits in Distributed Photovoltaic Access Network

With the large-scale integration of distributed photovoltaic power into the distribution network, its impact on voltage stability is becoming increasingly prominent, especially the problem of voltage exceeding the limit, which has become an urgent technical problem to be solved. Therefore, this article studies a fuzzy recognition model for voltage exceeding limits in multiple scenarios after distributed photovoltaic access to the distribution network. Firstly, the mechanism of voltage exceeding limit in distributed photovoltaic access network was analyzed, and the characteristics of distributed photovoltaic access and the features of voltage exceeding limit scenarios were clarified. Subsequently, in response to the multi scenario characteristics of voltage exceeding limits, this paper designs a fuzzy logic based voltage exceeding limit multi scenario recognition model. This model can effectively handle the uncertainty and fuzziness in voltage limit problems by introducing fuzzy sets and fuzzy reasoning mechanisms, achieving accurate assessment of voltage limit risk in different scenarios. Finally, a fuzzy rule library was used to achieve multi scenario fuzzy recognition of voltage exceeding limits. The research results indicate that the distributed photovoltaic access distribution network voltage limit multi scenario fuzzy recognition model proposed in this paper has high recognition accuracy and efficiency, and can effectively address the challenges of voltage limit problems in different scenarios, providing strong support for the safe and stable operation of the distribution network.