A photovoltaic power plant power prediction system based on time series database platform

Abstract

The invention relates to a time-sequence-database-platform-based power prediction system of a photovoltaic power station. The system is composed of a communication module, a weather report downloading transmission module, a power prediction module and a time sequence database platform. The time sequence database platform consists of a scada server, a data access storage interface, a shared internal memory, a data transceiver, and a historical database server; the data access storage interface, the shared internal memory, the data transceiver, and the historical database server are successively connected and carry out bidirectional communication; the scada server is connected with the data access storage interface; and the communication module and the power prediction module carry out bidirectional communication with the data access storage interface. With the system, collection and storage of large-scale-number weather reports and real-time data of a photovoltaic power station as well as uploading of prediction results can be realized; smooth upgrading of the processing performance and capacity of the overall system is realized; the data processing performance is high; the secondary developed interface is simple and is easy to use; and the multi-user, multi-thread, and multi-connection access is supported.

Description

technical field [0001] The invention relates to the technical field of photovoltaic power generation, in particular to a photovoltaic power plant power prediction system based on a time series database platform. Background technique [0002] In recent years, under the guidance and encouragement of the National Renewable Energy Law and energy conservation and emission reduction policies, new energy power generation has developed rapidly, especially the installed capacity of photovoltaic power generation has jumped to the first place in the world. Due to the fluctuating and intermittent characteristics of photovoltaic power generation, the integration of large-scale photovoltaic power stations has a major impact on the safety, stability and economic operation of the power grid system. Therefore, configuring a power forecasting system for photovoltaic power stations will help the power system dispatching center to coordinate the coordination and cooperation of conventional ther...

AI Technical Summary

Problems solved by technology

Most of the prediction systems of traditional photovoltaic power plants are implemented based on the B / S architecture and directly deal with commercial databases. Without an efficient and fast data storage and processing platform, the real-time data used cannot guarantee its correctness and real-time performance. In addition, the prediction The results cannot be updated in real time

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