ئەز   Dilovan Muhsin Haji

In this review paper, the concept of Big Data will be presented. In the beginning, a definition of Big Data its features will be reviewed. Then, the main or the most important issue met in big data management with the steps for data processing will be described. As well, the technologies used with Big Data management will be reviewed. Also, the most important visualization methods and techniques for analyzing big data will be listed and explained. Lastly, what challenges the Big Data is faced for privacy will be described and what you need to design a privacy model.

This paper proposes dynamic behavior analysis of Adaptive Neuro Fuzzy Inference System (ANFIS) based Maximum Power Point Tracking (MPPT) controller for a standalone photovoltaic (PV) system under various weather conditions such as different level of irradiance and temperature. Also, the dynamic behavior analysis of the system has been done by using different MPPT techniques which are ANFIS, Perturb and Observation (P&O) and Fuzzy Logic Controller (FLC). Based upon the results, the ANFIS based MPPT controller can track the maximum power point faster than other suggested controllers under various weather circumstances. It also observed that the intelligent based MPPT algorithms have lower rippling in power compared with conventional P&O algorithm. In addition, the dynamic behavior analysis of proposed MPPT controller shows that the system could stay operating at MPP during changes occurring to the load by changing PV voltage and current to extract the desired maximum power.

This paper proposes different maximum power point tracking (MPPT) techniques under different conditions for standalone photovoltaic (PV) systems by using MATLAB/Simulink framework. The MPPT techniques include Fuzzy Logic Controller (FLC) which is compared with Perturb and Observation (P&O). Based upon the simulation results, the FLC based MPPT controller can track the maximum power point (MPP) faster than other suggested controller under various weather circumstances such as different level of irradiance and temperature. It also observed the intelligent based MPPT algorithms have lower rippling in power compared with conventional P&O algorithm.