An improved slime mould algorithm based MPPT strategy for multi-peak photovoltaic system

被引：3
|
作者：
Dong M. [1 ]
Hu J.-S. [1 ]
Yang J. [1 ]
Song D.-R. [1 ]
Wan J.-H. [1 ]
机构：
[1] The College of Automation, Central South University, Changsha
来源：
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2023年 / 40卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Lévy flight; maximum power point tracking; partial shading condition; photovoltaic system; slime mold optimization algorithm;
D O I：
10.7641/CTA.2022.11268
中图分类号：
学科分类号：
摘要：
When the photovoltaic array is under partial shading condition, the traditional maximum power point tracking strategy is easy to fall into the local optimal solution and reduce power generation efficiency of the photovoltaic system. In order to solve this problem, a maximum power point tracking strategy based on the improved slime mould algorithm is proposed in this paper. The algorithm changes the boundary conditions of slime mould optimization algorithm based on the characteristics of photovoltaic array, which improves the tracking speed of the algorithm. Meanwhile it used the Lévy flight to improve the convergence criterion of slime mould optimization algorithm, which can improve the random search ability of the algorithm, and further improve the tracking speed of the algorithm. The simulation and experimental results show that the proposed strategy has quickly tracking speed and tracking accuracy, and can quickly track the maximum power point under various lighting conditions and effectively improve the power generation efficiency of the photovoltaic system. © 2023 South China University of Technology. All rights reserved.
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页码：1440 / 1448
页数：8
相关论文
共 16 条
  • [1] WU Jie, YANG Junhua, Control on green energy source and ecologic environment, Control Theory & Applications, 21, 6, pp. 864-869, (2004)
  • [2] FEMIA N, PETRONE G, SPAGNUOLO G, Et al., A technique for improving P&O MPPT performances of double-stage grid-connected photovoltaic systems, IEEE Transactions on Industrial Electronics, 56, 11, pp. 4473-4482, (2009)
  • [3] WANG Jianshan, YANG Yi, YANG Yuanpei, Et al., Research on multi peak MPPT algorithm based on equal power curve method, Solar Energy Journal, 40, 2, pp. 563-571, (2019)
  • [4] CHANDRASEKAKAN K, SANKAR S, BANUMALAR K., Partial shading detection for PV arrays in a maximum power tracking system using the sine-cosine algorithm, Energy for Sustainable Development, 55, pp. 105-121, (2020)
  • [5] MANSOOR M, MIRZA A F, LING Q, Et al., Novel grass hopper optimization based MPPT of PV systems for complex partial shading conditions, Solar Energy, 198, pp. 499-518, (2020)
  • [6] ELTAMALY A M, FARH H M H., Dynamic global maximum power point tracking of the PV systems under variant partial shading using hybrid GWO-FLC, Solar Energy, 177, 1, pp. 306-316, (2019)
  • [7] MAO M, ZHANG L, YANG L, Et al., MPPT using modified salp swarm algorithm for multiple bidirectional PV-Cuk converter system under partial shading and module mismatching, Solar Energy, 209, pp. 334-349, (2020)
  • [8] SARVI M, AHMADI S, ABD S., A PSO-based maximum power point tracking for photovoltaic systems under environmental and partially shaded conditions, Progress in Photovoltaics, 23, 2, pp. 201-214, (2015)
  • [9] ABDALLA O, REZK H, AHMED E M., Wind driven optimization algorithm based global MPPT for PV system under non-uniform solar irradiance, Solar Energy, 180, pp. 429-444, (2019)
  • [10] BOLLIPO R B, MIKKILI S, BONTHAGORLA P K., Hybrid, optimal, intelligent and classical PV MPPT techniques: A review, CSEE Journal of Power and Energy Systems, 7, 1, pp. 9-33, (2021)
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