As large-scale of electric vehicle(EV)and distributed generator(DG)such as wind and solar energy is being integrated into distribution networks

the situation awareness(SA)program needs to consider more uncertainties. A new methodology of meter placement for SA in the active distribution network considering uncertainty of correlated input variables is proposed based on dynamic probability density function to describe the uncertainty of EV charging/discharging demands and photovoltaic system outputs. The SA analysis is based on state estimation method. Moreover

the covariance matrix adaptation evolution strategy is used to optimize the proposed methodology

and the algorithm can get the desired results. Simulation is conducted on an active distribution network

and the results validate the feasibility and effectiveness of the proposed methodology. It can provide theoretical support for the safety assessment of active distribution networks.