Enhancing grid reliability with solar-wind energy systems

Swapna Subudhiray, Smrutiranjan Nayak

Abstract


Grid-connected hybrid photovoltaic (PV) wind systems are widely recognized as a promising solution for mitigating renewable intermittency; however, most existing studies focus either on component-level modeling or basic integration without detailed analysis of power conditioning, control coordination, and grid-side performance. In particular, the functional role of DC–DC converters and energy management strategies in stabilizing hybrid outputs under variable environmental conditions remains insufficiently explored. This paper proposes a structured grid-connected PV wind hybrid system incorporating coordinated DC–DC conversion with maximum power point tracking (MPPT) and centralized control for voltage stabilization and power smoothing. The proposed architecture explicitly defines the operational role of each subsystem, including PV array, wind turbine generator, DC–DC converters, controller, and grid interface to ensure stable power delivery under fluctuating irradiance and wind speed. A MATLAB-based model is developed to evaluate system behavior under standalone and hybrid operating modes. Simulation results demonstrate improved voltage stability and enhanced power continuity in the hybrid configuration compared to standalone PV operation. The findings confirm that coordinated power conditioning significantly improves grid reliability and supports effective renewable energy integration.

Keywords


Grid reliability; Grid stability; Load management; Solar energy; Wind energy

Full Text:

PDF


DOI: http://doi.org/10.11591/ijra.v15i3.pp737-744

Refbacks

  • There are currently no refbacks.


Copyright (c) 2026 Swapna Subudhiray, Smrutiranjan Nayak

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

IAES International Journal of Robotics and Automation (IJRA)
ISSN 2089-4856, e-ISSN 2722-2586

This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

Web Analytics Made Easy - Statcounter IJRA Visitor Statistics