Modeling of photovoltaic and wind turbine based distributed generation in state estimation

This paper proposes an algorithm for distribution state estimation with included unmonitored (or partially monitored) photovoltaic generation and wind turbine&asynchronous generator based models, as well as distributed loads. These data are treated as pseudo measurements and included in the state estimation with lower weights. Initial state estimations for unmonitored (partially monitored) distributed generation and loads are calculated from the weather forecast data or daily load profiles, respectively. The pseudo measurements are additionally re-adjusted by the optimal load/generation reallocation procedure to fit the real-time measurements inside the weighted least square (WLS) based state estimation algorithm. The results and practical aspects of the proposed methodology are demonstrated on characteristic real-life urban distribution network with 40 buses.