Integrated Optimization Strategies for High‐Efficiency Solar PV Plants

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Authors: Stephen Dayana Priyadharshini, M. Arvindhan
Cited by: 0
References: 7

Abstract

The escalating global demand for renewable energy necessitates advanced optimization strategies for solar photovoltaic (PV) plant efficiency to reduce levelized cost of energy (LCOE) and maximize investment returns. This paper presents a comprehensive review of state-of-the-art optimization methodologies for solar PV systems, integrating advanced module technologies, intelligent control systems, and multi-objective optimization frameworks. The study evaluates eight primary optimization strategies: advanced PV modules including bifacial designs achieving up to 40% energy gain in high-albedo environments and TOPC on modules with commercial efficiencies of 23-24%; dynamic tracking systems where single-axis trackers deliver 15-25% annual yield improvements, extending to 40% when combined with bifacial modules; thermal management systems utilizing radiative cooling technologies reducing module temperatures by 13°C; power electronics optimization employing particle swarm optimization (PSO)-based maximum power point tracking (MPPT) algorithms achieving 10% efficiency gains under partial shading conditions; artificial intelligence frameworks incorporating machine learning-based forecasting that improves solar irradiance prediction accuracy by 18% compared to traditional statistical methods; hybrid renewable systems demonstrating 12% energy cost reduction through optimized dispatch strategies; dual-use land approaches including agrivoltaics and photovoltaics systems yielding 5-15% efficiency improvements; and lifecycle sustainability optimization through advanced materials and recycling frameworks. The methodology combines real-world industrial deployments, machine learning analytics, simulation studies, and multi-objective evolutionary algorithms. Results demonstrate that integrated optimization approaches can achieve cumulative efficiency improvements exceeding 50% compared to conventional fixed-tilt systems. The findings provide quantitative benchmarks and practical implementation guidelines for utility-scale solar PV installations, contributing to the advancement of renewable energy technologies and sustainable energy transition strategies.

Fields of Study & Subjects

Photovoltaic System Optimization Techniques Solar Thermal and Photovoltaic Systems Photovoltaic Systems and Sustainability

Publication details

Journal / source
Wiley eBooks
Pages
309–326
Publication date
27 February 2026
Language
EN
Document type
Book chapter