云层、灰尘和建筑物遮挡以及航行时各种运动会造成船舶甲板局部遮阴变化,导致铺设在甲板上的光伏阵列功率-电压输出曲线呈多峰值特性,传统最大功率点跟踪（MPPT）算法此时难以获得最佳功率追踪性能。为解决该问题,提出一种基于改进伞蜥优化算法和改进型扰动观察法（IFLO-IP&O）混合算法的船舶光伏发电MPPT控制方法：首先,将非标准Circle混沌映射、莱维飞行策略和三角形随机游走策略引入伞蜥优化算法,构建改进伞蜥优化算法以搜索到全局最大功率点（GMPP）邻域;其次,采用引入变步长机制的改进扰动观察法实现对GMPP的精准跟踪;最后,通过,设定切换逻辑将这两种算法整合为统一的框架,并将其应用于船舶光伏系统。仿真结果表明：在不同太阳辐照度条件下,所提MPPT控制方法在收敛速度、搜索精度和振荡程度等方面均表现良好。
Abstract
Under conditions of partial shading caused by cloud cover, dust accumulation, building obstructions, and vessel movement during navigation, photovoltaic arrays deployed on ship decks exhibit multi-peak characteristics in their power-voltage output curves. This renders traditional maximum power point tracking （MPPT） algorithms inadequate for optimal power extraction. To address this issue, this study proposes a hybrid MPPT control method combining improved frilled lizard optimization algorithm with variable step perturbation and observation method （IFLO-IP&O） for shipboard photovoltaic systems. The methodology involves three key innovations： First, the integration of non-standard Circle chaotic mapping, Lévy flight strategy, and triangular random walk strategy into the Frilled Lizard Optimization algorithm creates an enhanced global search capability to locate the neighborhood of the global maximum power point （GMPP）. Second, a variable-step perturbation mechanism enables precise tracking of GMPP. Third, an adaptive switching logic seamlessly integrates these two algorithms into a unified framework, which is then applied to shipboard photovoltaic systems. Simulation results demonstrate that the proposed IFLO-IP&O hybrid method achieves superior performance in convergence speed, tracking accuracy, and oscillation suppression across various illumination scenarios.
关键词
光伏发电 /
最大功率点跟踪 /
局部遮阴 /
控制算法 /
变步长扰动观察法 /
伞蜥优化算法
Key words
PV power /
maximum power point tracking /
partial shaded /
control algorithms /
variable step size perturbation and observation method /
frilled lizard optimization algorithm
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基金
湖北省武汉市洪山区科技成果转化揭榜挂帅项目（202402hx0780）
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