http://localhost:8080/xmlui/handle/123456789/51 Wed, 20 May 2026 06:58:17 GMT 2026-05-20T06:58:17Z http://localhost:80/xmlui/bitstream/id/42a98ba0-12fb-4b28-99e6-f0dcd02e33f0/ http://localhost:8080/xmlui/handle/123456789/51 http://localhost:8080/xmlui/handle/123456789/6067 Performance analysis of hybrid renewable energy integreted systems Devi, Manisha 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. Sharma, P.R. Sat, 01 Mar 2025 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/6067 2025-03-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/3408 Control techniques for power quality improvement in grid integrated solar PV energy system Kumar, Abhishek Agarwal, Rashmi and Singh Bhim Wed, 01 Nov 2023 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/3408 2023-11-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/3407 Control aspects of dstatcom for power quality improvement Ram Atma Sharma, P.R. and Ahuja Rajesh Kumar Thu, 01 Feb 2024 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/3407 2024-02-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/146 Congestion management in deregulated power system Gautam, Anubha Sharma P. R., and Kumar Yogendra Fri, 01 Apr 2022 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/146 2022-04-01T00:00:00Z