PRS-7051 power prediction system builds a prediction model of station output power based on the historical power of PV station/wind farm, historical environmental data, topography, numerical weather forecast, operation status of PV/wind turbine arrays and other data, predicts ultra-short-term and short-term output power in the future. The system displays and analyzes actual power, predicted power and planned power, offer the option to download reports on predicted power, provides PV power stations with power prediction data to be reported to dispatchers, and offer reference for the production, operation, and maintenance of power plants.
Power Prediction System
The system is applied to new energy PV stations/wind farm to predict the output power in the future.
Product Overview
Product advantages
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01
High-precision weather forecasting: The system combines data from multiple authoritative domestic and international weather forecasts with on-site environmental measurements to develop tailored weather models for each site, resulting in highly accurate weather forecasting. -
02
Multidimensional prediction models: By utilizing specific power forecasting models that take into consideration the unique topographical features of each site, such as mountains and plains, the system achieves superior accuracy in predicting power output. -
03
Multiple prediction algorithms: The system leverages a diverse array of algorithms, including neural networks, categorical regression, clustering, and more, to generate optimal prediction results. -
04
Extensible communication interfaces: The system offers support for a broad range of conventional communication modes, including 104, 102, ftp, sftp, in addition to several non-standard communication protocols. With the aid of our communication management products, it facilitates seamless data transmission across multiple protocols.
Technical parameters
Technical parameters | |
Single calculation time of generation power prediction | <5min |
MTBF of system hardware | >30000h |
Monthly system availability | >99% |
Time resolution of power prediction results | ≤15min |
Monthly average accuracy of short-term power predictions | ≥85% for PV; ≥83% for wind power |
Monthly average accuracy of ultra-short-term power predictions | ≥90% for the 4th hour of PV; ≥87% for wind power |