Comprehensive Evaluation of Distributed PV Grid-Connected Based on Combined Weighting Weights and TOPSIS-RSR Method

To effectively quantify the impact of distributed photovoltaic(PV)access on the distribution network,this paper proposes a comprehensive evaluation method of distributed PV grid connection combining subjective and objective combination of assignment and technique for order preference by similarity to an ideal solution(TOPSIS)—rank sum ratio(RSR)(TOPSIS-RSR)method.Based on the traditional distribution network evaluation system,a comprehensive evaluation system has been constructed.It fully considers the new development requirements of distributed PV access on the environmental friendliness and absorptive capacity of the distribution grid and comprehensively reflects the impact of distributed PV grid connection.The analytic hierarchy process(AHP)was used to determine the subjective weights of the primary indicators,and the Spearman consistency test was combined to determine the weights of the secondary indicators based on three objective assignment methods.The subjective and objective combination weights of each assessment indicator were calculated through the principle of minimum entropy.Calculate the distance between the indicators to be evaluated and the positive and negative ideal solutions,the relative closeness ranking,and qualitative binning by TOPSIS-RSR method to obtain the comprehensive evaluation results of different scenarios.By setting up different PV grid-connected scenarios and utilizing the IEEE33 node simulation algorithm,the correctness and effectiveness of the proposed subject-object combination assignment and integrated assessment method are verified.

Roles of light transmission aggregometry and CYP2C19 genotype in predicting ischaemic complications during interventional therapy for intracranial aneurysms

Background and purpose Light transmission aggregometry(LTA)and CYP2C19 genotype analysis are commonly used to evaluate the antiplatelet effects of clopidogrel during the interventional treatment of intracranial aneurysms.The aim of this study was to determine which test can predict ischaemic events during these treatments.Methods Patient demographic information,imaging data,laboratory data and ischaemic complications were recorded.LTA and CYP2C19 genotype results were compared,and multiple linear regression was performed to examine factors related to platelet reactivity.Multivariate regression analysis was performed to determine whether LTA and CYP2C19 could predict ischaemic complications and to identify other clinical risk factors.Receiver operating characteristic curve analysis was conducted to calculate the cut-off value for predicting ischaemic complications.A subgroup analysis was also performed for different CYP2C19 genotype metabolisers,as well as for patients with flow diverters and traditional stents.Results A total of 379 patients were included,of which 22 developed ischaemic events.Maximum platelet aggregation induced by ADP(ADP-MPA)could predict ischaemic events(p<0.001;area under the curve,0.752(95%CI 0.663 to 0.842)),and its cut-off value was 41.5%.ADP-MPA(p=0.001)and hypertension duration>10 years(p=0.022)were independent risk factors for ischaemic events,while the CYP2C19 genotype was not associated with ischaemic events.In the subgroup analysis,ADP-MPA could predict ischaemic events in fast metabolisers(p=0.004)and intermediate metabolisers(p=0.003).The cut-off value for ischaemic events was lower in patients with flow diverters(ADP-MPA=36.4%)than in patients with traditional stents(ADP-MPA=42.9%).Conclusions ADP-MPA can predict ischaemic complications during endovascular treatment of intracranial aneurysms.Patients with flow diverters require stronger antiplatelet medication than patients with traditional stents.