A New State Estimation Method for Distribution Network with High Penetrated Renewable Energy Considering Extreme Weather Impact

With the high proportion of distributed photovoltaic (PV) connected to the distribution network, the conventional static state estimation based on data acquisition and monitoring system can no longer meet the requirements of advanced applications in the distribution management system. Considering the changes in distribution network characteristics after high proportion of PV integration. This proposes two state estimation methods - a static robust one based on generalized maximum likelihood estimation and a dynamic one with two parameters.