Comprehensive evaluation of equipment utilization on DG-connected distribution network based on pignistic probability distance optimum evidence synthesis

Large-scale distributed generation (DG) accessing to the distribution network (DN), will affect the distribution network equipment utilization rate (DNEUR). However, at present, there is a lack of comprehensive research on the effect of DG connected to grid on the comprehensive evaluation of DNEUR. Hence, this paper constructs a comprehensive evaluation system of DNEUR, according to the characteristics of DG power generation and the influence of DG connected to grid on the DNEUR. Comprehensive evaluation system includes six aspects: power supply reliability, safety criterion, grid structure, load characteristics, grid construction margin and equipment load capacity. In order to overcome the limitations of Analytic Hierarchy Process (AHP) and entropy weight method, a new AHP-entropy weight combination weighting method based on Pignistic probability distance optimal evidence synthesis is proposed. And on this basis, a comprehensive evaluation model is constructed. Finally, the operation data of five typical regions are used to verify the model. The results show that the method proposed in this paper can effectively reduce the influence of deviation from the expert weight. In the process of AHP-entropy weighting, the weight of the subjective and objective weights is adjusted scientifically according to the optimization results.