[China Instrument Network Instrument Development] According to Jiangsu Electric Power Research Institute, the Institute and China Electric Power Research Institute successfully completed a distributed photovoltaic power forecasting system. This is the first prediction system based on the all-sky imager.
As a clean and renewable energy source, solar energy has become an important role in the future energy strategy, resulting in a gradual increase in the proportion of photovoltaic power generation in the power generation structure of the power grid. What follows is a series of problems caused by the operation of photovoltaic power generation, including its intermittent, random and fluctuating nature that cannot be avoided. In order to ensure the safe operation of the power grid, high-precision photovoltaic power forecasting systems are particularly important. It predicts the output power of photovoltaic power plants, which helps the power system dispatching department to coordinate the coordination of conventional energy and photovoltaic power generation and adjust the dispatch schedule in time.
The Distributed Photovoltaic Power Forecasting System developed by the Institute of Electrical Engineering for the first time uses an all-sky imager to track the rapid changes in the cloud and predicts the cloud's trajectory based on the changes in the cloud's ability to block the sun's light intensity to achieve distributed photovoltaic output. The 4h ultra-short-term high-precision prediction; at the same time, the system uses a digital weather forecasting system to achieve a short-term 24h forecast of distributed photovoltaic output, and the prediction accuracy meets the NB/T32031-2016 "Photovoltaic Power Prediction System Functional Specification" requirements.
The more quasi-photovoltaic power forecasting, the grid will reduce photovoltaic power cuts, thereby greatly improving the ability of the grid to absorb sunlight, and reducing the economic losses caused by power curtailment to PV owners, and increasing the PV plant investment return rate. In the long run, enhancing the installation and configuration of high-precision PV power prediction systems will effectively increase the economic efficiency of PV power plants.
The Distributed Photovoltaic Power Forecasting System developed by the Institute of Electrical Engineering for the first time uses an all-sky imager to track the rapid changes in the cloud and predicts the cloud's trajectory based on the changes in the cloud's ability to block the sun's light intensity to achieve distributed photovoltaic output. The 4h ultra-short-term high-precision prediction; at the same time, the system uses a digital weather forecasting system to achieve a short-term 24h forecast of distributed photovoltaic output, and the prediction accuracy meets the NB/T32031-2016 "Photovoltaic Power Prediction System Functional Specification" requirements.
The more quasi-photovoltaic power forecasting, the grid will reduce photovoltaic power cuts, thereby greatly improving the ability of the grid to absorb sunlight, and reducing the economic losses caused by power curtailment to PV owners, and increasing the PV plant investment return rate. In the long run, enhancing the installation and configuration of high-precision PV power prediction systems will effectively increase the economic efficiency of PV power plants.
Tote Bag,Beverages Bag,Paper Tote Bag,Cardboard Wine Paper Bag
Fushan Color Print Co., Ltd , https://www.jsfushanprinting.com