A Centralized Multi-String PV System Control with Multi-Dimensional MPPT Control

Imran Pervez, Charalampos Antoniadis, Hakim Ghazzai, Y. Massoud
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Abstract

This paper proposes an improved Maximum Power Point Tracking (MPPT) control for the inverter's photovoltaic (PV) string connection. This is achieved by replacing MPPT control microcontrollers across each PV string with a single central microcontroller controlling all PV strings' Maximum Power Point (MPP). The proposed system, in addition to making the PV string system more power efficient, also reduces the overall system cost. However, replacing multiple controllers across each string with a single central controller makes the MPPT problem multi-dimensional, increasing the complexity. To solve this, we first used the Jaya algorithm for solving the multi-dimensional MPPT problem. Then, the proposed Multi-Dimensional MPPT (MDMPPT) Jaya is compared to another metaheuristic, the Particle Swarm Optimization (PSO), and a conventional algorithm, the Perturb and Observe (P&O). The results prove the superiority of the proposed Jaya algorithm over PSO and P&O.
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基于多维MPPT控制的多串光伏系统集中控制
针对逆变器的光伏串接,提出了一种改进的最大功率点跟踪控制方法。这是通过将每个PV串上的MPPT控制微控制器替换为一个控制所有PV串的最大功率点(MPP)的中央微控制器来实现的。所提出的系统,除了使PV串系统更节能外,还降低了整体系统成本。然而,用单个中央控制器替换每个串上的多个控制器使MPPT问题变得多维,从而增加了复杂性。为了解决这个问题,我们首先使用Jaya算法来解决多维MPPT问题。然后,将提出的多维MPPT (MDMPPT) Jaya与另一种元启发式算法粒子群优化(PSO)和传统算法扰动与观测(P&O)进行了比较。实验结果证明了Jaya算法相对于PSO和P&O算法的优越性。
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