POWER QUALITY VARIABLE WEIGHT COMPREHENSIVE EVALUATION AND MULTIOBJECTIVE OPTIMAZATION OF MULTIFUNCTIONAL GRID-CONNECTED INVERTER

Li Zhijun, Li Gege, Zhang Jiaan

Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (11) : 515-521.

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (11) : 515-521. DOI: 10.19912/j.0254-0096.tynxb.2021-0466

POWER QUALITY VARIABLE WEIGHT COMPREHENSIVE EVALUATION AND MULTIOBJECTIVE OPTIMAZATION OF MULTIFUNCTIONAL GRID-CONNECTED INVERTER

  • Li Zhijun1,2, Li Gege3, Zhang Jiaan1,2
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Abstract

The fluctuation of photovoltaic power generation and load randomness lead to the change of power quality evaluation indexes. The fixed weight comprehensive evaluation index and single objective optimization are usually used by the multifunctional grid-connected inverter, which may cause the deterioration of power quality control effect and the low utilization rate of residual capacity. Based on G1 method improved by mixed variable weight principle, a new comprehensive power quality index evaluation method is proposed. According to the dynamic changes of source and load, the weight of each power index is adjusted in real time to realize the objective evaluation of power quality. On this basis, the optimal comprehensive power quality index and the minimum compensation capacity of the inverter are taken as the objective functions, and the individual indexes are constrained. The nondominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ) is used to realize the multi objective optimization. Finally, the feasibility and effectiveness of the proposed strategy are verified in Matlab.

Key words

power quality / comprehensive evaluation / multi objective optimization / mixed variable weight principle / multifunctional grid-connected inverter

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Li Zhijun, Li Gege, Zhang Jiaan. POWER QUALITY VARIABLE WEIGHT COMPREHENSIVE EVALUATION AND MULTIOBJECTIVE OPTIMAZATION OF MULTIFUNCTIONAL GRID-CONNECTED INVERTER[J]. Acta Energiae Solaris Sinica. 2022, 43(11): 515-521 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0466

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