The output power of solar photovoltaic (PV) system is intermittent in nature with a non-linear output voltage. This has peak power points in accordance with varying irradiation and temperature. Hence a Maximum Power Point Tracker (MPPT), which is power extraction technique is essential in PV power systems to ensure maximum power delivery for a given point of time. Thenonlinear power voltage curve gets more intense when shading of PV panels takes place, as the panels receive irregular and different solar irradiation, which alters the profile of power –voltage (P-V) curves. Due to the partial shading, the panels exhibit peculiar multiple power peaks instead of one single peak as in the case of uniform irradiation and as a result the conventional MPPT schemes could attain only local maxima and the global one. This research article proposes a new intelligent, bio inspired Meerkat optimization algorithm (MOA) which is capabale finding the global power peak and ensured maximum power delivery. ThisMOA MPPT technique is employed for a 120 W PV system and the versatility of the said scheme is tested by subjecting the PV panel for three different partially shaded conditions. The results reveal that the MOA exhibits fast tracking speed of with improved efficiencyof 99.8% when compared with particle swarm optimization (PSO) and differential evolution algorithm (DE)MPPT schemes.

太阳能光伏 (PV) 系统的输出功率本质上是间歇性的，具有非线性输出电压。根据不同的辐照和温度，这具有峰值功率点。因此，最大功率点跟踪器 (MPPT) 是一种功率提取技术，在 PV 电力系统中必不可少，可确保在给定时间点提供最大功率。当光伏电池板被遮蔽时，非线性电源电压曲线变得更加强烈，因为电池板接收到不规则和不同的太阳辐射，这会改变功率-电压 (PV) 曲线的轮廓。由于局部阴影，面板表现出特殊的多个功率峰值，而不是均匀照射情况下的单个峰值，因此传统的 MPPT 方案只能获得局部最大值和全局最大值。这篇研究文章提出了一种新的智能、受生物启发的猫鼬优化算法 (MOA)，它能够找到全局功率峰值并确保最大功率输送。该 MOA MPPT 技术用于 120 W PV 系统，并且通过将 PV 面板置于三种不同的部分阴影条件下来测试所述方案的多功能性。结果表明，与粒子群优化 (PSO) 和差分进化算法 (DE) MPPT 方案相比，MOA 表现出快速的跟踪速度，效率提高了 99.8%。该 MOA MPPT 技术用于 120 W PV 系统，并且通过将 PV 面板置于三种不同的部分阴影条件下来测试所述方案的多功能性。结果表明，与粒子群优化 (PSO) 和差分进化算法 (DE) MPPT 方案相比，MOA 表现出快速的跟踪速度，效率提高了 99.8%。该 MOA MPPT 技术用于 120 W PV 系统，并且通过将 PV 面板置于三种不同的部分阴影条件下来测试所述方案的多功能性。结果表明，与粒子群优化 (PSO) 和差分进化算法 (DE) MPPT 方案相比，MOA 表现出快速的跟踪速度，效率提高了 99.8%。