scholarly journals Modeling and Power Optimization Control of Tidal Energy Systems

Author(s):  
Ahmed G. Abo-Khalil ◽  
◽  
Khairy Sayed ◽  
Ahmed Elnozahy ◽  
B. G. Yu ◽  
...  

As interest in emergency power has increased, research on engine generators has been actively conducted. Permanent magnet synchronous generators (PMSGs) are suitable for small-capacity engine generators because they have higher efficiency and faster response than other motors. In this paper, the static and dynamic characteristics of the tidal turbine have been modeled and implemented experimentally. The rotational speed of the PMSG is regulated to extract the generator maximum power at a variable tidal velocity using the conventional optimum tip-speed ratio method. has been implemented to the proposed tidal power system since it is a simple method. The performance of the PMSG in the tidal power system has been investigated at different tidal speeds. The experimental results have validated the efficiency of the proposed controller to extract the maximum power point.

Author(s):  
Mohd Nurhadi Mad Zain ◽  
Norzanah Rosmin ◽  
Nor Khairunnisa Sidek ◽  
Aede Hatib Musta’amal@Jamal ◽  
Maherah Hussin ◽  
...  

2011 ◽  
Vol 321 ◽  
pp. 80-83 ◽  
Author(s):  
Li Qun Liu ◽  
Zhi Xin Wang

An efficient Maximum Power Point Tracking (MPPT) control method is important to increase the output efficiency of a photovoltaic (PV) material. The output power of PV power system depends on local irradiance conditions. The output characteristics of large-scale PV materials under partial shading conditions have multiple maximum power points, which make the tracking of the actual maximum power point (MPP) a difficult task. A novel combined fuzzy and perturb and observe (PO) control method is suggested to extract maximum power from the PV materials under these conditions. The ability of the proposed method and its increased performance as compare with the traditional fuzzy control method is evaluated by means of experimental tests performed on a real PV power system and based on the MSP430x44x microcontroller.


2019 ◽  
Vol 8 (3) ◽  
pp. 5104-5110

In the last few years, several concepts have been developed in the field of Power Quality (PQ) improvements. Features of PQ plays a significant part in power system based applications. Nowadays, technologies in Renewable Energy Source (RES) have got more opportunities for promoting Photo-Voltaic (PV) for generating electric power. It may affect the reliability and stability of entire power system, also produces the switching frequency with irregular manner and variation within the certain region. Also, Incremental-Conductance (IC) method miserably fails to recognize Global Maximum Power Point (MPP) and gets trapped in one of the Local MPP. Since the conventional MPPT (Maximum Power Point Tracking) might not separate the maximum power of the P-V characteristic curve, a novel tracking system needs to be established. In this research work, Kinetic Gas Molecular Optimization (KGMO) is implemented with IC for improving the PQ by providing the adequate switching pulse to inverter for enhancing the system performance. The proposed method reduced the Total Harmonic Distortion (THD) up to 4.67 %, and the efficiency is observed by evaluation over the traditional Radial Basis Function Neural Network (RBFNN) and IC-MPPT techniques. The proposed method is implemented in the MATLAB/Simulink software to analyze the performance of PQ issues.


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