Method for predicting generation power of interconnected photovoltaic power station
A photovoltaic power station, power generation technology, applied in the direction of light radiation generator, generator/motor, electrical digital data processing, etc., can solve the problem of increasing the burden of power grid dispatching
Active Publication Date: 2010-06-09
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology
The connection of large-capacity grid-connected photovoltaic power plants to the power grid will inevitably bring severe challenges to the dispatch management and safe and stable operation of the power system, and will greatly increase the dispatch burden of the power grid
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[0038] The composition and working principle of the grid-connected photovoltaic power station:
[0039] Grid-connected photovoltaic power plants include building-integrated grid-connected photovoltaic systems and large-scale grid-connected photovoltaic systems built on deserts, tidal flats, and saline-alkali land. The grid-connected photovoltaic power generation system is mainly composed of photovoltaic cell arrays, inverters and transformers. The direct current generated by the photovoltaic cells is converted into alternating current by the inverter and then boosted by the transformer and incorporated into the grid. Most grid-connected photovoltaic power plants are not equipped with battery packs for energy storage. Due to changes in solar radiation received by photovoltaic power plants, ambient temperature, different times of the day, seasons and other factors, its output power will show severe fluctuations and intermittences.
[0040] Factors affecting the power generation...
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The invention relates to a method for predicting generation power of interconnected photovoltaic power stations, which belongs to the technical field of photovoltaic generation, and is used for predicting generation power of the interconnected photovoltaic power stations. The technical scheme is that input parameters and output parameters of the photovoltaic power stations, i.e. the output power,including solar radiation intensity, environmental temperature, wind speed collected on production sites of the interconnected photovoltaic power stations to establish an input and output parameter association database of the photovoltaic power stations and update the database through on-line self-study in real time. The method is characterized by using data mining technology to mine data in the input and output parameter association database of the photovoltaic power stations to obtain a predicted value of the generation power of the interconnected photovoltaic power stations. Employing the method, the generation power of the interconnected photovoltaic power stations can be correctly predicted, reliable reference information can be provided for dispatch management departments, and the management level of electrical power systems is greatly improved.
Description
technical field [0001] The invention relates to a method for predicting power generation power of a grid-connected photovoltaic power station according to factors such as solar radiation intensity, ambient temperature and wind speed, and belongs to the technical field of photovoltaic power generation. Background technique [0002] The production, transmission, distribution, and consumption of electric energy are carried out at the same time. It is necessary to maintain the balance between supply and demand at all times so that it will not be damaged in order to ensure the normal operation of the power system. Since photovoltaic power generation is directly affected by factors such as sunlight, temperature, time, and seasons, "there is electricity when there is sunlight, and there is no electricity if there is no sunlight", and its output power will show severe fluctuations and intermittences. The connection of large-capacity grid-connected photovoltaic power plants to the po...
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IPC IPC(8): H02N6/00G06F17/30
Inventor 米增强王飞刘兴杰梅华威石金玮余洋
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)