System and method for power generation load forecasting of hydropower plants based on machine learning

Abstract

The invention discloses a hydropower plant power generation load forecasting system and method based on machine learning, and relates to the technical field of data processing; the power generation load forecasting module is used to predict the power generation of a water turbine unit in this quarter, and combines the predicted first power generation with the planned power generation The power is compared, and the comparison result is sent to the failure analysis module of the water turbine unit; the failure analysis module of the water turbine unit is used to verify the failure of the water turbine unit, and to analyze the risk factors that cause the failure of the water turbine unit; the optimal power distribution module is used to obtain all According to the difference between the predicted total generated power and the used generated power, the optimal number of turbines is selected for power distribution; the cost of the total generated power of the hydroelectric units can be guaranteed to be minimized, so that the number of hydraulic turbines can be optimized.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a machine learning-based power generation load forecasting system and method for hydropower plants. Background technique [0002] A hydropower plant, also known as a hydroelectric power plant, is a factory that converts the kinetic energy and potential energy of water into electrical energy. It is located at a high place in the river, using the pressure of water to make the water turbine rotate, and then convert the kinetic energy and potential energy into mechanical energy, which is then driven by the water turbine. The generator set rotates and converts mechanical energy into electrical energy; therefore, the hydroelectric unit is particularly important in the process of generating electrical energy in a hydropower plant; once the hydroelectric unit fails, it may cause a decrease in the productivity of electrical energy, making it impossible to supply the planned electri...

AI Technical Summary

Problems solved by technology

[0002] A hydropower plant, also known as a hydroelectric power plant, is a factory that converts the kinetic energy and potential energy of water into electrical energy. It is located at a high place in the river, using the pressure of water to make the water turbine rotate, and then convert the kinetic energy and potential energy into mechanical energy, which is then driven by the water turbine. The generator set rotates and converts mechanical energy into electrical energy; therefore, the hydroelectric unit is particularly important in the process of generating electrical energy in a hydropower plant; once a hydroelectric unit fails, it may cause a decrease in the productivity of electrical energy, making it impossible to supply the planned electrical energy to the transmission line

[0003] The specific structure of the hydroelectric unit consists of a hydraulic turbine, a generator and related hydropower auxiliary equipment. In order to ensure the stable operation of the hydroelectric unit, it is necessary to be equipped with a governor, etc. One of the important equipment in the hydroelectric unit is the generator. , the generator will generate corresponding vibrations during the working process. Once there is a change, it is impossible to ensure that the hydropower plant can generate electricity smoothly; therefore, it is necessary to detect whether the generator fails in real time. If there is a failure, how to reasonably distribute the power to complete the planned power supply is an extremely important issue

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