Abstract-The operation of distribution network will be greatly affected when distributed generation (DG) is accessed to the network. The degree of influence is closely related to the location and capacity of distributed generation. Therefore, it is of great significance to evaluate the consequence of installing distributed generation to distribution network. This research was carried out from the perspective of reactive power optimization, and the evaluation was performed by super-efficiency data envelopment analysis (DEA). The research is expected to reduce the active power loss of distribution network, to reduce the voltage offset and to make the program more economical. The proposed method could objectively sort the different schemes of DG access to distribution network. Finally, an example was given to show that the proposed method can rank the efficiency values of the evaluation scheme and select the optimal scheme, which is feasible in engineering application.

With distributed generation access to the grid, power quality problems become increasingly prominent. These problems can threaten the safe and stable operation of the power grid. This paper establishes a distributed power quality comprehensive evaluation system. The improved entropy method is used to weight the subjective evaluation value and the objective evaluation value, to perform comprehensive evaluation of the power quality of the distributed distribution network. The subjective evaluation is obtained by the improved analytic hierarchy process, and the objective evaluation value is obtained by efficiency evaluation of the distributed power quality data by super efficiency data envelopment analysis. The results show that the improved entropy method considers both subjective and objective factors, resulting in comprehensive evaluation results that are more comprehensive and objective.