Abstract：In order to achieve the multi-objective requirements of high quality, high efficiency and low cost of the automatic verification system of electric energy metering instruments intermediate checks, a mathematical model was established to minimize the comprehensive verification cost and maximize verification efficiency. To solve the model, an improved fast non-dominated multi-objective optimization algorithm (INSGA-Ⅱ) was proposed, which improved the searching ability of the population by designing a multi-point crossover mutation strategy, and using perturbation population to improve the diversity of the population and prevent the population from falling into local optimum. The effectiveness and feasibility of the model and algorithm were verified by example simulation and algorithm comparison. The results showed that INSGA-Ⅱ algorithm can effectively obtain the non-dominated solution of the problem, which is of guiding significance to improve the verification quality, verification efficiency and reduce the verification cost. Finally, the optimal solution of the model was applied to the intermediate checks of the automatic verification system of low-voltage current transformer in Hubei Electric Power Metering Center of State Grid, and the control chart was drawn to monitor the operation status of the verification system online, which ensured that the measurement process was always in the state of statistical control.
李亮波,解金芳,耿睿,田天. 基于INSGA-Ⅱ的电能计量器具自动化检定系统期间核查方案研究[J]. 计量学报, 2023, 44(8): 1248-1255.
LI Liang-bo,XIE Jin-fang,GENG Rui,TIAN Tian. Research on Intermediate Checks Scheme of Automatic Verification System of Electric Energy Metering Instruments Based on INSGA-Ⅱ. Acta Metrologica Sinica, 2023, 44(8): 1248-1255.
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2023, Vol. 44 
