Parameters optimization design of dual-input dual-buck inverter system based on hyperplane NSGA-II

被引:0
|
作者
Li H. [1 ]
Ge H.-J. [1 ,2 ]
Ma Y. [3 ]
Wang Y.-S. [2 ]
机构
[1] College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing
[2] College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing
[3] COMAC Shanghai Aircraft Design and Research Institute, Shanghai
来源
Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science) | 2023年 / 57卷 / 03期
关键词
dual-input dual-buck inverter (DIDBI); hyperplane-non-dominated sorting genetic algorithm II (HP-NSGA-II); multi-objective; system parameter;
D O I
10.3785/j.issn.1008-973X.2023.03.019
中图分类号
学科分类号
摘要
Aiming at the problems of uneven population distribution and slow convergence in the calculation process of non-dominated sorting genetic algorithm II (NSGA-II), a hyperplane NSGA-II (HP-NSGA-II) was proposed. The algorithm constructed a hyperplane by connecting extreme points reflecting the edge distribution of the population, with its normal vector as the evolutionary trend, the critical layer individuals were projected on the hyperplane, which promoted the population to evolve towards the optimal solution with uniform distribution and good convergence. Dual-input dual-buck inverter (DIDBI) was a multi-objective optimization object, the switching loss, total harmonic distortion of output voltage, and volume of filter elements were regarded as optimization objectives. According to the requirements of resonant frequency, inductor current ripple, and the power factor, the constraint conditions of filter capacitance, filter inductance, and switching frequency were derived. The application situation and value of the HP-NSGA-II were compared with NSGA-II and γ-NSGA-II considering the importance of each target. An Inverter prototype was regarded as an example, the experimental research on parameters optimization design was carried out, and the results show the effectiveness and correctness of the design. © 2023 Zhejiang University. All rights reserved.
引用
收藏
页码:606 / 615
页数:9
相关论文
共 24 条
  • [1] LU Qi-wei, DENG Huan, CHEN Ting, Et al., Parameters optimization and design of LLCC resonant converter in high frequency sinusoidal inverter [J], Transactions of China Electrotechnical Society, 32, 20, pp. 142-152, (2017)
  • [2] ZHANG Jun-hong, GUO Qian, WANG Jian, Et al., Multiobjective optimization of ribs design parameters for plastic oil cooler cover [J], Journal of Zhejiang University: Engineering Science, 50, 7, pp. 1360-1366, (2016)
  • [3] CHEW C K, KONDAPALLI S R R., Modelling, analysis, simulation and design optimization (genetic algorithm) of DC-DC converter for uninterruptible power supply applications [C], 2005 International Conference on Power Electronics and Drive Systems, pp. 1530-1535, (2006)
  • [4] WU Biao, ZHANG Lei, MENG Jin, An optimization design method of low frequency resonant filter based on NSGA-II [J], Electrical Measurement and Instrumentation, 55, 10, pp. 62-67, (2018)
  • [5] ELKHOLY M M, EL-HAMEED M A, EL-FERGANY A A., Harmonic analysis of hybrid renewable microgrids comprising optimal design of passive filters and uncertainties [J], Electric Power Systems Research, 163, pp. 491-501, (2018)
  • [6] SRINIVAS N, DEB K., Multiobjective function optimization using nondominated sorting genetic algorithms [J], Evolutionary Computation, 2, 3, pp. 221-248, (1994)
  • [7] DEB K, PRATAP A, AGARWAL S, Et al., A fast and elitist multiobjective genetic algorithm: NSGA-II [J], IEEE Transactions on Evolutionary Computation, 6, 2, pp. 182-197, (2002)
  • [8] CHENG Hong, GAO Yuan-hai, WANG Chun, Et al., Multiobjective distribution network reconfiguration based on non-revisiting NSGA-II algorithm [J], Power System Protection and Control, 44, 23, pp. 10-16, (2016)
  • [9] SU Yu-gang, CHEN Ling-zhi, TANG Chun-sen, Et al., Evolutionary multi-objective optimization of PID parameters for output voltage regulation in ECPT system based on NSGA-Ⅱ [J], Transactions of China Electrotechnical Society, 31, 19, pp. 106-114, (2016)
  • [10] HE Zhong-hua, YUAN Yi-xing, Reliability optimization design of water distribution system based on surplus energy entropy [J], Journal of Zhejiang University: Engineering Science, 48, 7, pp. 1188-1194, (2014)