Evaluation of the Energy Efficiency of Solar Power Plants Smart Inverter Technology Based on Optimization Algorithms

Abstract

This study aims to evaluate the energy efficiency of solar power plants that apply smart inverter technology based on optimization algorithms. The research approach used is a qualitative method with a descriptive-analytical case study design, which was chosen to gain an in-depth understanding of the system performance and the mechanism of energy efficiency improvement in real operational conditions. The research was conducted on medium-scale solar power plant facilities that have implemented smart inverters, taking into account system availability, operational data, and access to key informants. The research informants consisted of three people, consisting of project managers, renewable energy consultants, and academics in the field of power systems, who were selected purposively because they had competence and direct involvement in system planning, evaluation, and development. The results show that smart inverters based on optimization algorithms are able to consistently improve energy efficiency and system stability compared to conventional inverters, especially in the face of fluctuations in environmental conditions and loads. This study recommends the application of an integrated energy efficiency evaluation approach as well as the development of more adaptive optimization algorithms to support an efficient and sustainable solar energy system.