For distribution network fault analysis,an active distribution network mode based on Big data and intelligent technolo-gy is proposed to achieve dual coordination of reliability and economy.In this study,a multi-source and multi feature fusion method was adopted,while considering spatiotemporal characteristics and selecting appropriate auxiliary decision-making methods.In addi-tion,a dual planning model for the economy and stability of distribution networks under distributed power supply access and N-1 faults was constructed to address the challenges of distributed power supply access and N-1 faults.The results show that the compre-hensive expected value of the planning model tends to converge after about 47 iterations,proving that the algorithm has strong conver-gence ability.In terms of trend results,double-layer planning is smoother than single-layer planning and tends to stabilize at around Opu.The annual profit of the dual level planning increased from 66.74 million yuan to 67.85 million yuan,and the network loss de-creased from 3.88 million yuan to 2.64 million yuan.The results indicate that the bilevel programming genetic algorithm has signifi-cant effectiveness in optimizing the configuration of power outage faults in intelligent distribution networks,achieving dual coordination optimization of reliability and economy.
维普
万方数据