Power Identification of Distributed Generation Based on Back-Propagation Neural Network

Distributed generator (DG) is widely used and applied due to the energy environment issues. photovoltaic generation a typical kind of DG. Its output power random fluctuant, which has great influence on safe, stable economic operation system. Thus it necessary identify generated by distributed generation. This paper proposes identification method based BP Neural Network. The sample data comes from simulation PSCAD consists current active that are measured in branch network connected with DG training Matlab. Simulation results verify Network can accurately.