| dc.description.abstract |
Renewable energy sources have become a promising substitute for traditional electrical
energy generation, especially in areas where conventional methods are not feasible.
The rapid growth of photovoltaic and wind power generation over the past few years
has paved the way for innovative hybrid energy solutions. This study presents a
hybrid energy system integrating solar panels and wind turbines, offering a sustainable
and environmentally friendly alternative to traditional power generation methods. A
novel control technique is developed to optimize energy extraction from the PV and
wind systems, ensuring efficient performance under dynamic environmental conditions.
Comprehensive simulation results validate the feasibility of the hybrid system, and a
Matlab/Simulink model is developed to simulate its behavior.
This investigation aims to achieve five primary objectives that collectively
contribute to the development of an efficient and reliable hybrid renewable energy
system. Firstly, the study focuses on modeling a hybrid renewable system to understand
its dynamics and behavior. Secondly, it seeks to improve the power quality of the hybrid
system, ensuring a stable and consistent energy supply. Thirdly, the investigation aims
to enhance the grid stability of the hybrid system, facilitating seamless integration with
existing power grids. Fourthly, the study endeavors to determine the optimal sizing of
the hybrid renewable energy system, striking a balance between energy demand and
supply. Lastly, the investigation seeks to improve the reliability of the hybrid system,
minimizing downtime and ensuring a consistent energy supply.
The primary objective of this study is to design a comprehensive model of a
Hybrid Renewable System (HRS) that integrates solar and wind power. This model
addresses the challenges associated with power quality, maximum power extraction,
and contingency planning, including the incorporation of conversion technologies and
integration strategies.
The incorporation of renewable energy-based micro-generation systems into
distribution grids has introduced several challenges, including power quality issues.
This study aims to enhance power quality in grid-connected hybrid Solar Photo
Voltaic (SPV) and wind energy systems. By implementing a three-level inverter
and employing pulse width modulation technique, the proposed approach efficiently
mitigates harmonics and ensures waveform equality. A comparative analysis with
conventional systems demonstrates the potential to reduce total harmonic distortion.
Additionally, this research presents a comprehensive methodology for assessing
voltage stability and Total Harmonic Distortion (THD) at the Point of Common
Coupling (PCC) in networks integrated with PV systems.
The variable nature of solar and wind power injection creates significant power
system stability challenges. Our proposed solution addresses this issue by generating
v
and stepping up DC voltage, which is then converted into high-quality AC power using
advanced SVPWM inverters. Furthermore, a transient current limiter is incorporated to
improve power quality and overall system stability by reducing transients. Simulation
results in MATLAB/Simulink validate the proposed model’s effectiveness, showcasing
its superior performance compared to existing approaches. This research investigates
the optimal placement and sizing of Battery Energy Storage Systems (BESS) in
distribution networks, leveraging Hybrid Energy Systems (HES). The main goal is to
minimize operational costs, encompassing voltage regulation, power losses, and peak
demand expenses. Genetic Algorithm (GA) and Particle Swarm Optimization (PSO)
are used to optimize the objective function for BESS installation in an IEEE 33-
bus distribution network. The results from both methods are compared, demonstrating
potential improvements in network efficiency through cost reduction, voltage deviation
mitigation, and power loss minimization.
A thorough investigation has been conducted on the stability of a grid-connected
hybrid energy system, integrating PV and wind power. To minimize grid fluctuations,
a supercapacitor-based energy storage system is utilized. Additionally, a DQ control
technique is recommended to maintain power balance and optimize power extraction
from the hybrid system. The system’s dynamic performance under various operating
conditions is evaluated using root loci and time-domain analyses, showing that the
proposed control mechanism can effectively maintain system balance. |
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