Methodology for calculating the indicator of availability of network PV power plants

Abstract

Relevance: the introduction of grid-connected photovoltaic (PV) plants is an important part of renewable energy development, especially in countries with high solar radiation, such as Uzbekistan. The availability factor of PV power plants plays a key role in assessing their performance, as it reflects the ability of the plant to provide stable electricity generation. Modern monitoring and analysis techniques can improve the performance of PV power plants, minimize downtime and increase the economic efficiency of solar energy systems.

Aim this study aims to develop and improve the methodology for calculating the availability coefficient of grid-connected photovoltaic power plants, taking into account operational data, climatic conditions and technical characteristics of the equipment. The aim of the work is to analyze the factors affecting the availability time of PV power plants and to develop approaches to improve the reliability and efficiency of their operation.

Methods: to achieve the set objectives, methods of comparative analysis of operational characteristics of FES in different climatic conditions, as well as standard methods of calculating the availability factor were used. The study used satellite monitoring data, SCADA-systems and cloud platforms performance indicators, as well as mathematical models that allow taking into account the influence of climatic and operational factors on the FES performance.

Results: the results of the study showed that the availability factor of grid PV plants in most cases exceeds 98.5% with minimal downtime and standard maintenance. Analysis of climatic data confirmed that hot conditions can reduce system efficiency, but the use of SCADA systems and remote monitoring allows for rapid response to changes and minimizes losses. The study also revealed that modernization of the control system and regular maintenance can improve the reliability of PV power plants and their economic efficiency.