OTOVOLTAIC (PV) SYSTEM MONITORING, PERFORMANCE
ANALYSIS AND POWER PREDICTION MODELS
Umaraliev Nurmamat,
Dotsent, Department of "Electronics and Instrumentation", Ferghana
Polytechnic Institute
Muqobil energiya manbaalari va telekommunikatsiya texnologiyalarini rivojlantirishing yangi bosqichilari
Международная научно-техническая конференция «Практическое применение технических и
цифровых технологий и их инновационных решений», ТАТУФФ, Фергана, 4 мая 2023 г.
149
Rakhimov Abdurakhmon Abduraufjon ugli
Assistant, Department of "Electronics and Instrumentation", Ferghana
Polytechnic Institute
PV system monitoring involves real-time tracking of the electrical output
of the panels, as well as weather conditions and other relevant data such as
temperature, humidity, and solar irradiance. This data is collected through
sensors and then analyzed using software tools to identify performance issues
and predict the system's output.
PV output power prediction models use historical and real-time data from
the system's sensors and the surrounding environment to forecast the output
energy of the PV system. Inputs to the model may include solar irradiance,
temperature, wind speed, shading, and other environmental factors that may
influence energy generation.
Due to the fact that the design of the solar photovoltaic power plant under
study is not adapted to changing the position of the sun in space, the amount of
electricity generated by this photovoltaic installation changes over time
depending on the intensity of the sun's rays and the angle of incidence. From this
point of view, using the proposed measurement system, it becomes possible to
continuously monitor the maximum electrical energy generated by a solar
photovoltaic installation at a constant load.
To solve this problem, we will turn on the ESP32 module as a modem and
the RTC DS3231 module connected to it as a device for measuring the exact
current time, as shown in Figure 1.
Performance analysis involves comparing the output of the PV system to
expected results based on weather and other conditions. The analysis can
identify issues such as shading or misalignment that are reducing the system's
output and suggest solutions to optimize the solar power generation.
Новые этапы развития альтернативных источников энергии и телекоммуникационных технологий
Международная научно-техническая конференция «Практическое применение технических и
цифровых технологий и их инновационных решений», ТАТУФФ, Фергана, 4 мая 2023 г.
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