Obstructed irradiation negatively impacts solar PV performance and raises issues of power loss (PL). In the partial shading conditions (PSCs), each row in the PV system has a distinct current production capability under the adverse shadowing effects, which is caused to introduce multiple power peaks known as GMPP and LMPP on the power-voltage (P-V) curves. The MPP tracking device is misleading during adverse irradiation circumstances due to numerous power maxima points. The array system adopted a realignment strategy to boost the PV system's resiliency under the shading mentioned earlier. In this paper, a novel physical relocation approach depends on the 'Successive Rotation Approach' (SRA) based novel game puzzle, which illustrates high GMPP better performance under PSCs. The present study suggests that the SRA puzzle-based PV module restructuring methodology has a more significant shade dispersion factor (SDF) capability compared to traditional arrangements such as SP, TCT, SDK, and I-SDK, thus reducing PL and optimizing positions of GMPP. An experimental system is developed to validate the MATLAB/Simulink-based results, which proves the close agreement under similar realistic shading situations. In addition to this, the temperature effect due to shading is ivestigated and non-symmetric (6 × 9) PV array configurations are considered for performance evaluation through experimental work.

受阻照射会对太阳能光伏性能产生负面影响，并引发功率损耗 (PL) 问题。在部分遮挡条件 (PSC) 中，光伏系统中的每一行在不利遮挡效应下都具有不同的电流产生能力，这导致在功率-电压 (PV) 曲线上引入多个功率峰值，称为 GMPP 和 LMPP。由于许多功率最大值点，MPP 跟踪设备在不利辐照情况下会产生误导。阵列系统采用重新排列策略来提高光伏系统在前面提到的阴影下的弹性。在本文中，一种新颖的 物理重定位 方法依赖于 基于“连续旋转方法”（SRA）的新颖游戏拼图，这说明了高 GMPP 更好的性能 在 PSC 下。本研究表明，与 SP、TCT、SDK 和 I-SDK 等传统安排相比，基于 SRA 拼图的光伏组件重组方法具有更显着的色散系数 (SDF) 能力，从而降低 PL 并优化 GMPP 的位置. 开发了一个实验系统来验证基于 MATLAB/Simulink 的结果，这证明了在类似的现实阴影情况下的紧密一致性。除此之外，还研究了遮蔽引起的温度效应，并通过实验工作考虑了非对称 (6 × 9) 光伏阵列配置以进行性能评估。