Control method and system of wind power-photovoltaic-energy storage combined system

A technology of a combined system and control method, applied in the field of renewable energy storage system optimization, can solve problems such as affecting optimization algorithm results, loss of high-dimensional meteorological data, affecting renewable energy production revenue, etc., to improve computing efficiency and improve convergence. effect of speed

Pending Publication Date: 2022-03-01
QINGHAI ELECTRIC POWER ENERGY SAVING SERVICE +1
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  • Application Information

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Problems solved by technology

The model-based method will face the following two problems: On the one hand, in the face of the uncertainty of wind power, photovoltaic output, etc., the renewable energy-energy storage collaborative control strategy is closely related to the accuracy of wind power, photovoltaic output power prediction, assuming The consistency between the output power probability distribution of renewable energy and the actual probability distri

Method used

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  • Control method and system of wind power-photovoltaic-energy storage combined system
  • Control method and system of wind power-photovoltaic-energy storage combined system
  • Control method and system of wind power-photovoltaic-energy storage combined system

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Embodiment 1

[0045] Embodiment 1 of the present disclosure introduces a control method of a combined wind power-photovoltaic-energy storage system.

[0046] like figure 1 A control method for a wind power-photovoltaic-energy storage combined system is shown, including the following steps:

[0047] Obtain electricity prices, output power of photovoltaic power plants and wind farms, and station weather data;

[0048] According to the acquired information data and the preset energy storage control model, considering the output uncertainty of wind power and photovoltaic, adjust the power of energy storage equipment to realize the coordinated operation control of wind power-photovoltaic-energy storage combined system;

[0049] Among them, the energy storage control model takes the maximum total revenue as the objective function, considers the operational constraints of the joint system, and uses deep reinforcement learning to control the energy storage equipment and wind power, as well as the ...

Embodiment 2

[0155] Embodiment 2 of the present disclosure introduces a control system of a combined wind power-photovoltaic-energy storage system.

[0156] like Figure 7 The control system of a combined wind power-photovoltaic-energy storage system shown includes:

[0157] The obtaining module is configured to obtain the electricity price, the output power of the photovoltaic power station and the wind farm and the meteorological data of the station respectively;

[0158] The regulation module is configured to adjust the power of the energy storage device to realize the coordinated operation control of the combined wind power-photovoltaic-energy storage system according to the acquired information data and the preset energy storage control model, considering the output uncertainty of wind power and photovoltaic ;

[0159] Among them, the energy storage control model takes the maximum total revenue as the objective function, considers the operational constraints of the joint system, and...

Embodiment 3

[0162] Embodiment 3 of the present disclosure provides a computer-readable storage medium.

[0163] A computer-readable storage medium, on which a program is stored. When the program is executed by a processor, the steps in the control method of the combined wind power-photovoltaic-energy storage system according to Embodiment 1 of the present disclosure are implemented.

[0164] The detailed steps are the same as the control method of the combined wind power-photovoltaic-energy storage system provided in Embodiment 1, and will not be repeated here.

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Abstract

The invention belongs to the technical field of renewable energy storage system optimization, and provides a control method and system for a wind power-photovoltaic-energy storage combined system, and the method comprises the following steps: respectively obtaining the electricity price, the output power of a photovoltaic power station and a wind power station, and the station meteorological data; according to the acquired information data and a preset energy storage control model, considering the output uncertainty of wind power and photovoltaic power, and adjusting the power of energy storage equipment to realize coordinated operation control of the wind power-photovoltaic-energy storage combined system; wherein the energy storage control model takes the maximum total income as an objective function, considers the operation constraint of the combined system, and adopts deep reinforcement learning to control the coordinated operation of the energy storage equipment and wind power and the coordinated operation of the energy storage equipment and photovoltaic in the combined system.

Description

technical field [0001] The disclosure belongs to the technical field of optimization of renewable energy energy storage systems, and specifically relates to a control method and system for a combined wind power-photovoltaic-energy storage system. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] With the use of conventional fossil energy, resulting in shortage of fossil energy and environmental degradation, global energy structure adjustment is imperative. The focus of global energy structure adjustment is the development and utilization of renewable energy, and the importance of renewable energy such as wind power and photovoltaic power generation is gradually emerging. In the future, renewable energy generators, such as wind farms and photovoltaic power stations, will participate in electricity market transactions as generators. The inc...

Claims

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Application Information

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IPC IPC(8): H02J3/32H02J3/38G06N3/04G06N3/08G06N7/00
CPCH02J3/32H02J3/381G06N3/08H02J2203/20H02J2300/24H02J2300/28G06N7/01G06N3/045Y02E10/56Y02E10/76Y02E70/30
Inventor 张怡雪王伟张晶杨明黄诗颖李鹏张辉祁寿贤胡荣辉马理想吴梦娣林丽蓉张涛李明宇王琦张玉勇程子涵
Owner QINGHAI ELECTRIC POWER ENERGY SAVING SERVICE
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