Wind power plant power management system and method

Abstract

The invention relates to a wind power plant power management system and method. The system comprises a data collector which is used for carrying out the measurement point data collection from an SCADA system and PLC equipment; a data storage module used for storing the collected measuring point data into a real-time database and a historical database respectively and processing the stored measuring point data; a control module used for comparing the measuring point data stored in the real-time database and controlling the power of each participating fan according to a comparison result. According to the method, the control precision of the algorithm is improved by collecting the pitch angle of the high-frequency fan, the historical database stores the measurement point data of the non-high-frequency measurement points in a CSV format, the usability of the measurement point data is improved, when the power-limited fan carries out power-limited output, power adjustment can be quickly carried out on the fan needing power limiting and the power generation loss caused by power adjustment is reduced at the maximum efficiency.

Description

technical field [0001] The invention belongs to the technical field of wind farm power control, and in particular relates to a wind farm power management system and method. Background technique [0002] The current status of domestic wind farm power control systems: With the rapid development of the wind power market, the proportion of wind power generation in the grid capacity is gradually increasing. Due to various reasons such as the instability of wind speed and the scattered distribution of wind power equipment, it is difficult to accurately control the output of wind turbines. The proportion of wind power installed capacity. Common wind farm power control in the market has the following defects: [0003] 1. The communication cycle is long, resulting in the out-of-synchronization phenomenon between the issued command and the actual output, resulting in low control accuracy and sensitivity, poor signal followability, and serious power loss. [0004] 2. There is a large...

AI Technical Summary

Problems solved by technology

[0003] 1. The communication cycle is long, resulting in asynchronous phenomena between the issued instructions and the actual output, resulting in low control accuracy and sensitivity, poor signal followability, and serious power loss

[0004] 2. There is a large deviation between the theoretical power of the fan and the actual power that can be generated, which affects the power distribution

[0005] 3. The reliability of the system is not high, occasional suspended animation, unnecessary power cuts occur, resulting in power loss

[0006] 4. The continuous upgrade and improvement in the later period is not enough, the intelligence is not high, and the system cannot be optimized for a specific site

[0007] 5. The design of historical data storage is unreasonable, it is inconvenient to access and use big data analysis technology, and it is difficult to clean data

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