Modern utility grid is experiencing a transition from conservative centralized generation
structure to a more distributed and decentralized structure. To achieve this transition …

In this paper, two new Artificial Neural Network MPPT controllers based on fixed and
variable step size have been proposed and investigated. The data required to generate the …

Renewable energy sources have attracted attention in the last few years as an efficient and
sustainable alternative to conventional fossil fuels. Among these sources, solar power …

A novel methodology to assess the degradation of a photovoltaic module is presented. The
degradation of the module can be represented by a progressive alteration of the equivalent …

This paper covers the study towards the implementation of a Neural Network based
approach for the efficiency control of Photovoltaic systems. The algorithm aims to track the …

为进一步提高光伏发电系统的输出效率和动态调节性能, 设计基于神经网络的改进扰动观察法
最大功率点跟踪(MPPT) 控制. 该方法在扰动观察法基础上引入神经网络算法 …

Traditional photovoltaic (PV) models are characterized by excessive parameters, significant
nonlinearity, and transcendental equations, making it challenging to simultaneously satisfy …

A hybrid neural network approach based tool for identifying the photovoltaic one‐diode
model is presented. The generalization capabilities of neural networks are used together …

DC motor is commonly used in Robotic, Machine, Lift Motor, Crane Motor and many others
application. Additional controller is needs to control the performance rotation of the DC …

Photovoltaic (PV) offers an environmentally friendly source of electricity since it is clean,
pollution free and inexhaustible. However, the output from a PV solar cell alone is not good …