Showing posts with label maximum power point tracking. Show all posts
Showing posts with label maximum power point tracking. Show all posts

Thursday, 1 February 2024

Enhanced Model Based Algorithm to Reinforce PV System with Optimized Tracking Capability | Chapter 6 | Contemporary Perspective on Science, Technology and Research Vol. 4

To achieve a reliable and efficient system operation, this study presents an optimized algorithm which enhances the model-based (MB) tracking capability so as to overcome major deficiencies as discussed below. Photovoltaic (PV) power has become the most attractive choice among various renewable resources. However, one major challenge associated with PV interfacing is its intermittent output characteristic which varies dramatically with the operating conditions. Thus, designing an effective maximum power point tracking (MPPT) algorithm is a key aspect for optimizing PV system performance. Numerous MPPT algorithms have been proposed earlier having their own specific advantages. However, these are found to have two major limitations which have to be essentially addressed. Firstly, they become ineffective in the dynamic conditions where there is rapid change in environmental parameters like insolation and temperature. Secondly, they fail to discriminate between global and local peaks under partial shading conditions. Effectiveness of proposed tracking algorithm is tested by obtaining PV power characteristics under dynamic conditions where different parameters are varied alternately. On the basis of modified governing equations and incorporating the precised estimation of parameters, it predetermines the MPP analytically. First simulated results are obtained where it is tested for dynamic variations of all the three parameters. Then the experimental validation is carried out on a 2 KW installed panel where real time data is recorded through CR1000 data logger and environmental parameters are sensed with elements like pyranometer, humidity sensor, etc. Numerous experimental results are analyzed for tracked MPP in the dynamic conditions, which are then summarized in tabular forms. These are finally plotted and compared with simulated results to illustrate the effectiveness of proposed MB algorithm. Thus, it has been verified that MB algorithm is very efficient and effective for tracking not only in dynamically varying insolation or temperature but additionally it is equally capable for typical shaded panels also.

Author(s) Details:

Md. Ehtesham,
Department of Electrical and Electronics, Maulana Azad National Urdu University, Cuttack Campus, India.

Mohmmad Ahmad,
Department of Electrical Engineering, Rajkiya Engineering College, Bijnor, India.

Please see the link here: https://stm.bookpi.org/CPSTR-V4/article/view/13139

Tuesday, 18 May 2021

An Introduction to Wind Energy Conversion System with Low Voltage Ride-Through Capability | Chapter 6 | Advanced Aspects of Engineering Research Vol. 9

 The global demand for electrical energy is growing at twice the rate of primary energy demand. The current power system scenario necessitates very stable and high-quality power. Wind turbines and solar photovoltaic systems are examples of distributed generation that are important in the perception of green energy. To reduce CO2 emissions, electricity generation from renewable sources such as wind and solar is preferable. Wind energy is one of the most rapidly evolving energy streams among the sustainable options. The percentage of renewable energy in global generation is steadily increasing. The evolution of various wind energy conversion systems (WECSs) is discussed in this chapter, along with their benefits and drawbacks. The growing use of power electronic converter (PEC)-based renewable energy is changing power system dynamics and raising new issues about stability. Several concerns in the power system with the incorporation of wind energy are also covered, including power quality difficulties, low voltage ride-through (LVRT) capability, fault ride-through (FRT) capability, power oscillations, primary frequency regulation (PFR), virtual inertia support, and so on. Low voltage ride-through capability indicates that the WECS must remain connected to the grid (as per grid code) and produce a certain amount of reactive power during grid disturbances (with voltage dip). Grid code requirements in various nations will be met by the DFIG-based WECS, which will provide grid assistance during voltage dips produced by various grid breakdowns. To accomplish fault ride-through capability, the rotor side converter (RSC) and grid side converter (GSC) can be correctly controlled according to the grid code requirements.

Author(s) Details

Tomson Thomas
Department of Electrical Engineering, Rajiv Gandhi Institute of Technology, Kottayam, Kerala, 686501, India.

M. R. Anoopraj
Department of Electrical Engineering, Rajiv Gandhi Institute of Technology, Kottayam, Kerala, 686501, India.

A. Prince
Department of Electrical Engineering, Rajiv Gandhi Institute of Technology, Kottayam, Kerala, 686501, India.

Ginu Ann George
Department of Electrical Engineering, Rajiv Gandhi Institute of Technology, Kottayam, Kerala, 686501, India.

View Book :- https://stm.bookpi.org/AAER-V9/article/view/1014