Optimizing Renewable Energy Integration: A Hybrid System Architecture for Sustainable Energy Production, Storage, and Grid Stability

Abstract

The global transition to renewable energy is imperative to address climate change, energy security, and environmental sustainability. This research paper explores the latest advancements in renewable energy technologies, including solar, wind, and biomass, and proposes a novel hybrid system architecture to overcome the challenges of intermittency, storage, and grid integration. The proposed system integrates multiple renewable energy sources with advanced energy storage solutions, such as lithium-ion and flow batteries, and leverages smart grid technologies for real-time energy management. By employing predictive analytics, machine learning, and demand response strategies, the system optimizes energy production, storage efficiency, and grid stability. Performance evaluation demonstrates significant improvements in energy output, storage efficiency (85%), and grid reliability compared to existing systems. 

Country : India

1 Prabhu Kumar2 K Bhavana3 C Abhinaykumar

  1. Department of Artificial Intelligence & Data Science, Mother Theresa Institute of Engineering and Technology, Palamaner-517408, Chittoor, Andhra Pradesh, India
  2. Department of Artificial Intelligence & Data Science, Mother Theresa Institute of Engineering and Technology, Palamaner-517408, Chittoor, Andhra Pradesh, India
  3. Department of Artificial Intelligence & Data Science, Mother Theresa Institute of Engineering and Technology, Palamaner-517408, Chittoor, Andhra Pradesh, India

IRJIET, Volume 9, Special Issue of INSPIRE’25 April 2025 pp. 59-62

doi.org/10.47001/IRJIET/2025.INSPIRE10

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