A Soft Computing Intelligent Control Algorithm to Extract Maximum Energy from Solar Panel

M. Hasan
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Abstract

Utilizing soft computing, a maximum power point tracking (maximum PPT) control algorithm is developed, and its performance is compared to that of more traditional Lead Acid battery charging methods such as incremental conductance technique-based maximum PPT. Since the power vs voltage graph of a photovoltaic (PV) cell is nonlinear, a suitable control method seeks to obtain the highest power under dynamic conditions. In order to construct a PV cell with the maximum PPT, a fuzzy logic control approach known as soft computing is used. The cell active energy is used to charge the lead acid battery. A fuzzy logic compares its performance with the incremental conductance technique under dynamic conditions. Moreover, dc to dc converter is required to maintain constant output voltage to charge the battery under low level voltage. A zeta converter is taken to maintain output voltage under various insolation. The significance of algorithm is demonstrated by MATLAB Simulation results and hardware results.
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太阳能电池板能量提取的软计算智能控制算法
利用软计算,开发了一种最大功率点跟踪(maximum PPT)控制算法,并将其性能与基于最大PPT的增量电导技术等更传统的铅酸电池充电方法进行了比较。由于光伏(PV)电池的功率与电压的关系图是非线性的,因此合适的控制方法寻求在动态条件下获得最高功率。为了构建具有最大PPT的光伏电池,使用了一种称为软计算的模糊逻辑控制方法。电池活性能量用于对铅酸蓄电池充电。模糊逻辑将其性能与动态条件下的增量电导技术进行了比较。此外,直流-直流转换器需要保持恒定的输出电压,以便在低电平电压下对电池充电。zeta转换器用于在各种日照条件下保持输出电压。MATLAB仿真结果和硬件结果表明了该算法的重要意义。
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来源期刊
CiteScore
3.80
自引率
6.20%
发文量
57
审稿时长
20 weeks
期刊介绍: IJMEMS is a peer reviewed international journal aiming on both the theoretical and practical aspects of mathematical, engineering and management sciences. The original, not-previously published, research manuscripts on topics such as the following (but not limited to) will be considered for publication: *Mathematical Sciences- applied mathematics and allied fields, operations research, mathematical statistics. *Engineering Sciences- computer science engineering, mechanical engineering, information technology engineering, civil engineering, aeronautical engineering, industrial engineering, systems engineering, reliability engineering, production engineering. *Management Sciences- engineering management, risk management, business models, supply chain management.
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