Hybrid energy storage photovoltaic power generation system based on power prediction method

A photovoltaic power generation system and power prediction technology, applied in photovoltaic power generation, photovoltaic power stations, photovoltaic modules, etc., can solve the problems of too much dependence on weather forecast accuracy, poor smoothing effect, and poor practicability, so as to improve energy storage Utilization rate, good smoothing effect and few influencing factors

Active Publication Date: 2014-04-30
STATE GRID CORP OF CHINA +1
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Problems solved by technology

The research on photovoltaic power prediction in the prior art mainly focuses on the power prediction of photovoltaic power plants to meet the grid dispatching requirements; however, the existing photovoltaic power prediction algorithms, such as BP neural network, similar day typical trend method and least squares support vector machine The method has m

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  • Hybrid energy storage photovoltaic power generation system based on power prediction method
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  • Hybrid energy storage photovoltaic power generation system based on power prediction method

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[0032] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0033] The present invention provides a hybrid energy storage photovoltaic power generation system based on a power prediction method, such as figure 1 As shown, the system includes an energy storage controller, an energy storage unit, a photovoltaic cell, and an inverter; the energy storage unit, photovoltaic cell, and the inverter are all connected to the energy storage controller; the energy storage unit includes a super capacitor and a lithium battery ;

[0034] The energy storage controller includes a control module, a photovoltaic power prediction module and a DC-DC power module; the DC-DC power module includes a photovoltaic battery DC-DC power module, a super capacitor DC-DC power module and a lithium battery DC-DC power module;

[0035] The control module is used to adjus...

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Abstract

The invention provides a hybrid energy storage photovoltaic power generation system based on a power prediction method. The hybrid energy storage photovoltaic power generation system based on the power prediction method comprises an energy storage unit and an inverter, wherein the energy storage unit and the inverter are connected with an energy storage controller. The energy storage controller comprises a control module, a photovoltaic power prediction module and a DC-DC power module; the control module is used for adjusting the operating mode of the energy storage unit; the photovoltaic power prediction module is used for predicting photovoltaic power generation power according to output power of a photovoltaic battery in the system and sending a power prediction value to the inverter. Compared with the prior art, the hybrid energy storage photovoltaic power generation system based on the power prediction method can reduce the capacity of the energy storage unit and improve the utilization rate of stored energy; due to the fact that the energy storage unit does not need to be started frequently to compensate the power difference between the photovoltaic battery and the inverter, the service life of the energy storage unit is prolonged; an inverter output curve is smoothed, and therefore the impact on a power grid is reduced.

Description

technical field [0001] The invention relates to a hybrid energy storage photovoltaic power generation system, in particular to a hybrid energy storage photovoltaic power generation system based on a power prediction method. Background technique [0002] When the photovoltaic power generation system is connected to the grid, the energy storage unit is configured to stabilize the power fluctuation and improve the acceptance capacity of the grid. As the power compensation device of the photovoltaic power generation system, the energy storage unit's reasonable control of its output power and prediction of photovoltaic power are crucial to the stable operation of the photovoltaic power generation system. [0003] When configuring the energy storage unit, most photovoltaic power generation systems only simply compensate the power output curve of the photovoltaic module, and do not have a perfect power prediction algorithm. When the fluctuation of photovoltaic energy is large, the ...

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Application Information

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IPC IPC(8): H02J3/38H02S10/20
CPCY02E10/56Y02E70/30
Inventor 林培峰梁适春牛萌刘海军
Owner STATE GRID CORP OF CHINA
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