Absorption method and system based on virtual power plant

Abstract

The invention provides a consumption method and system based on a virtual power plant, and the method comprises the steps: obtaining the information of power grid equipment, constructing the virtual power plant based on the information of power generation equipment, estimating an electricity utilization load based on the information of electricity utilization equipment, and carrying out the estimation of the electricity utilization load based on the estimated electricity utilization load, renewable energy consumption constraints and the information of energy storage equipment. The method comprises the steps of constructing a mapping relation among a virtual power plant, electric equipment and energy storage equipment, configuring network transmission resources based on the mapping relation among the virtual power plant, the electric equipment and the energy storage equipment to obtain network configuration information, and updating the mapping relation and the network configuration information based on the matching degree between the virtual power plant and the electric equipment to obtain network configuration information. The renewable energy consumption process can be effectively managed, and effective transmission of data and monitoring information in the virtual power plant can be ensured through configuration of the NFV network equipment and configuration of the network flow table.

Description

Technical Field

[0001] The present invention relates to the field of virtual power plants, and in particular to resource configuration technology of virtual power plants and communication networks. Background Art

[0002] With the continuous development of renewable energy technology, more and more renewable energy power generation equipment is now integrated into the power supply network. Different from traditional large power grid equipment, renewable energy equipment usually has the characteristics of small capacity, large quantity, and dispersed distribution, so renewable energy equipment is also called distributed power supply. At the same time, the access of distributed power supply to the power supply network may have an impact on the stability of the power grid. At present, the technology called "virtual power plant (VPP)" is usually chosen to integrate and superimpose different distributed power sources into a virtual single power plant, and the resource scheduling and control of distributed energy is realized through the virtual power plant.

[0003] At the same time, the consumption of renewable energy is also a hot technical issue that has attracted widespread attention. Virtual power plant technology also provides technical support for the comprehensive management of the consumption of renewable energy. In addition, in terms of data support, in order to ensure the correct operation of virtual power plant technology, it is also necessary to ensure that control instructions, business data, monitoring data, etc. can be sent and received correctly and stably.

[0004] There is still a lack of in-depth research in the existing technology on how to improve the comprehensive management capabilities of renewable energy consumption based on virtual power plant technology and how to ensure the stable and efficient operation of the virtual power plant information transmission network. There is an urgent need to provide a new renewable energy consumption method and system. Summary of the invention

[0005] The purpose of the present invention is to provide a consumption method and system based on a virtual power plant to improve the comprehensive management capability for renewable energy consumption and ensure the effective transmission of virtual power plant network information.

[0006] The present invention provides a consumption method based on a virtual power plant, comprising the following steps:

[0007] Step 1: Obtain information about power grid equipment, which includes power generation equipment, power consumption equipment, and energy storage equipment.

[0008] Specifically, the information on power generation equipment includes the type of power generation equipment, the number of power generation equipment, the power generation information, the location information of power generation equipment, etc., which is information related to power consumption; the type of power generation equipment is divided based on the type of renewable energy, including wind power equipment, photovoltaic equipment, etc. The information on power consumption equipment includes the type of power consumption equipment, the number of power consumption equipment, the energy consumption information of power consumption equipment, the working time of power consumption equipment, the working cycle of power consumption equipment, the location information of power consumption equipment, etc., which is information related to power consumption, and the type of power consumption equipment includes fixed load power consumption equipment and adjustable load power consumption equipment.

[0009] Step 2: Build a virtual power plant based on the power generation equipment information, estimate the power load based on the power consumption equipment information, and build a mapping relationship between the virtual power plant, power consumption equipment, and energy storage equipment based on the estimated power load, renewable energy consumption constraints, and energy storage equipment information.

[0010] Specifically, based on the acquired type of power generation equipment, number of power generation equipment, power generation information, and location information of power generation equipment, the power generation equipment is divided into different virtual power plants, and the power generation of the virtual power plant is estimated. Based on the acquired type of power consumption equipment, number of power consumption equipment, energy consumption information of power consumption equipment, working time of power consumption equipment, working cycle of power consumption equipment, and location information of power consumption equipment, the power load is estimated. Based on the matching degree between the virtual power plant and the power load, a mapping relationship between the virtual power plant and the power load is constructed; the mapping relationship between the virtual power plant and the power load complies with the constraints of renewable energy consumption and energy storage equipment information. The matching degree is the matching degree between the power generation of the virtual power plant and the energy consumption of the power consumption equipment.

[0011] Step three: Based on the mapping relationship between the virtual power plant, power consuming equipment, and energy storage equipment, the network transmission resources are configured to obtain network configuration information.

[0012] The network transmission resources include network transmission equipment and network flow tables based on network function virtualization (NFV) technology. Specifically, the network transmission resources are configured to obtain network configuration information, including: based on the mapping relationship between the virtual power plant, the power consumption equipment, and the energy storage equipment, the information transmission requirements between the virtual power plants are obtained, and the information transmission requirements include data transmission requirements and control information transmission requirements; based on the information transmission requirements, the network transmission resources are logically configured, and the transmission flow table is configured.

[0013] Step 4: Based on the matching degree between the virtual power plant and the power-consuming equipment, the mapping relationship and network configuration information are updated.

[0014] Specifically, based on the grid operation data, the actual matching degree between the power generation of the virtual power plant and the energy consumption of the power equipment is obtained; the virtual power plant is adjusted, the power generation of the adjusted virtual power plant is predicted, the energy consumption of the power equipment is predicted, and based on the prediction results, the predicted matching degree between the power generation of the virtual power plant and the energy consumption of the power equipment is obtained; the adjustment of the virtual power plant complies with the renewable energy consumption constraints;

[0015] Based on the actual matching degree and the predicted matching degree, the mapping relationship between the virtual power plant and the power load is updated; based on the updated mapping relationship, the network configuration information is updated.

[0016] Corresponding to the consumption method based on the virtual power plant, the present invention also provides a consumption system based on the virtual power plant, comprising:

[0017] The information acquisition unit acquires information of power grid equipment, wherein the power grid equipment includes: power generation equipment, power consumption equipment, and energy storage equipment.

[0018] The mapping construction unit constructs a virtual power plant based on the information of power generation equipment, estimates the power load based on the information of power consumption equipment, and constructs a mapping relationship between the virtual power plant, power consumption equipment, and energy storage equipment based on the estimated power load, renewable energy consumption constraints, and energy storage equipment information.

[0019] The network configuration unit configures network transmission resources based on the mapping relationship between the virtual power plant, power-consuming equipment, and energy storage equipment to obtain network configuration information.

[0020] The updating unit updates the mapping relationship and network configuration information based on the matching degree between the virtual power plant and the power-consuming equipment.

[0021] The present invention also provides a device, including a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to execute the computer program to implement the steps of the virtual power plant-based consumption method as described above.

[0022] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the virtual power plant-based consumption method as described above are implemented.

[0023] The consumption method and system based on virtual power plants provided by the present invention acquire power grid equipment information, construct a virtual power plant based on power generation equipment information, estimate power load based on power consumption equipment information, and construct a mapping relationship between the virtual power plant, power consumption equipment, and energy storage equipment based on the estimated power load, renewable energy consumption constraints, and energy storage equipment information. Based on the mapping relationship between the virtual power plant, power consumption equipment, and energy storage equipment, network transmission resources are configured to obtain network configuration information. Based on the matching degree between the virtual power plant and the power consumption equipment, the mapping relationship and network configuration information are updated, so that the renewable energy consumption process can be effectively managed, and the effective transmission of data and monitoring information in the virtual power plant can be guaranteed by configuring NFV network equipment and configuring network flow tables. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a flow chart of the consumption method based on virtual power plant;

[0025] Figure 2 This is the system block diagram of the consumption system based on virtual power plant. DETAILED DESCRIPTION

[0026] The present invention provides a consumption method and system based on a virtual power plant to improve the comprehensive management capability for renewable energy consumption and ensure the effective transmission of virtual power plant network information. The present invention is further described below in conjunction with an embodiment.

[0027] The present invention provides a consumption method based on a virtual power plant, such as Figure 1 As shown, the following steps are included:

[0028] Step 1: Obtain information about power grid equipment, which includes power generation equipment, power consumption equipment, and energy storage equipment.

[0029] Specifically, the information on power generation equipment includes the type of power generation equipment, the number of power generation equipment, the power generation information, the location information of power generation equipment, etc., which is information related to power consumption; the type of power generation equipment is divided based on the type of renewable energy, including wind power equipment, photovoltaic equipment, etc. The information on power consumption equipment includes the type of power consumption equipment, the number of power consumption equipment, the energy consumption information of power consumption equipment, the working time of power consumption equipment, the working cycle of power consumption equipment, the location information of power consumption equipment, etc., which is information related to power consumption, and the type of power consumption equipment includes fixed load power consumption equipment and adjustable load power consumption equipment.

[0030] In another embodiment, historical operation information and surrounding environment information of the power grid equipment may also be obtained. For example, historical fault information of the power grid equipment may be obtained; and environmental sensors such as temperature sensors and humidity sensors may be arranged around the power grid equipment to obtain surrounding environment information of the power grid equipment.

[0031] Step 2: Build a virtual power plant based on the power generation equipment information, estimate the power load based on the power consumption equipment information, and build a mapping relationship between the virtual power plant, power consumption equipment, and energy storage equipment based on the estimated power load, renewable energy consumption constraints, and energy storage equipment information.

[0032] Specifically, based on the acquired type of power generation equipment, number of power generation equipment, power generation information, and location information of power generation equipment, the power generation equipment is divided into different virtual power plants, and the power generation of the virtual power plant is estimated. Based on the acquired type of power equipment, energy consumption information of power equipment, working time of power equipment, working cycle of power equipment, and location information of power equipment, the power load is estimated. Based on the matching degree between the virtual power plant and the power load, a mapping relationship between the virtual power plant and the power load is constructed; the mapping relationship between the virtual power plant and the power load complies with the constraints of renewable energy consumption and energy storage equipment information. The matching degree is the matching degree between the power generation of the virtual power plant and the energy consumption of the power equipment. The renewable energy consumption and energy storage equipment information constraints are:

[0033] ∑(VP i -C i )≥0,VP i =TP i +DP ii , where VP i is the estimated power generation of the i-th virtual power plant, TP i is the power generation of the i-th traditional power plant, DP i is the power generation of the i-th renewable power generation equipment, C i is the estimated i-th power load;

[0034] min∑TP i ,∑TP i is the total power generation of conventional power plants;

[0035] min∑B i ,∑B i The total amount of electricity stored in the energy storage device.

[0036] In another embodiment, the mapping relationship between the virtual power plant and the power load can be adjusted based on the historical operation information and surrounding environment information of the acquired power grid equipment. In another embodiment, when the number of power generation equipment changes, the divided virtual power plant can be adjusted based on the operating status of the power generation equipment, the number of power generation equipment, etc.

[0037] The construction process of the mapping relationship, the constraint process of the mapping relationship, and the adjustment process of the mapping relationship can be implemented based on a neural network. Specifically, the renewable energy consumption demand is processed into a parameter that can be recognized by the neural network, the power generation of the virtual power plant and the energy consumption of the power equipment are used as input parameters, and the energy storage equipment information and the renewable energy consumption demand are used as constraint factors, which are input into the mapping relationship construction module of the neural network. The mapping relationship construction module outputs the mapping relationship between the virtual power plant and the power load; the mapping relationship between the virtual power plant and the power load, the historical operation information of the power grid equipment, and the surrounding environment information are input into the mapping relationship adjustment module of the neural network. The mapping relationship adjustment module outputs the adjusted mapping relationship between the virtual power plant and the power load.

[0038] Step three: Based on the mapping relationship between the virtual power plant, power consuming equipment, and energy storage equipment, the network transmission resources are configured to obtain network configuration information.

[0039] The network transmission resources include network transmission equipment and network flow tables based on Network Function Virtualization (NFV) technology.

[0040] The network transmission resources are configured to obtain network configuration information, including: based on the mapping relationship between the virtual power plant, the power equipment, and the energy storage equipment, the information transmission requirements between the virtual power plants are obtained, and the information transmission requirements include data transmission requirements and control information transmission requirements; based on the information transmission requirements, the network transmission resources are logically configured, and the transmission flow table is configured. Specifically, in order to ensure the stable and efficient operation of the power transmission process between the virtual power plant and the power load, data transmission and information monitoring of the virtual power plant and the power load are required. When the virtual power plant and the power load need to perform information transmission processes such as data transmission or monitoring information transmission, the corresponding network transmission logic unit is configured for the information transmission process, and the corresponding network flow table is configured for the network transmission logic unit.

[0041] Step 4: Based on the matching degree between the virtual power plant and the power-consuming equipment, the mapping relationship and network configuration information are updated.

[0042] Specifically, based on the power grid operation data, the actual matching degree between the power generation of the virtual power plant and the energy consumption of the power equipment is obtained; the virtual power plant is adjusted, and the adjustment of the virtual power plant complies with the renewable energy consumption constraints; the power generation of the adjusted virtual power plant is predicted, and the energy consumption of the power equipment is predicted, and based on the prediction results, the predicted matching degree between the power generation of the virtual power plant and the energy consumption of the power equipment is obtained; based on the actual matching degree and the predicted matching degree, the mapping relationship between the virtual power plant and the power load is updated; based on the updated mapping relationship, the network configuration information is updated.

[0043] Specifically, if |VP i -C i |≥P 1 , P 1 is the matching threshold between the power plant power generation and the energy consumption of the power equipment. i The power generation is adjusted, and the adjustment process complies with the following constraints:

[0044] ∑(VP i -C i )≥0;min∑TP i ;

[0045] In one embodiment, the actual matching degree and the predicted matching degree are used as input parameters and input into a mapping relationship updating module of a neural network, and the mapping relationship updating module outputs an updated mapping relationship between a virtual power plant and an electric load; based on the updated mapping relationship between the virtual power plant and the electric load, an updated network transmission logic unit and a network flow table are configured for the information transmission process;

[0046] In another embodiment, a target matching degree matrix is ​​obtained based on the actual matching degree and the predicted matching degree, and an updated network transmission logic unit and a network flow table are configured for the information transmission process based on the target matching degree matrix. The target matching degree matrix is:

[0047] in, Where P is the target matching degree between the virtual power plant and the power load, P threshold is the judgment threshold of target matching change.

[0048] The consumption method based on virtual power plant provided by the present invention obtains power grid equipment information, builds a virtual power plant based on power generation equipment information, estimates power load based on power consumption equipment information, builds a mapping relationship between the virtual power plant, power consumption equipment and energy storage equipment based on the estimated power load, renewable energy consumption constraints and energy storage equipment information, configures network transmission resources based on the mapping relationship between the virtual power plant, power consumption equipment and energy storage equipment, obtains network configuration information, and updates the mapping relationship and network configuration information based on the matching degree between the virtual power plant and the power consumption equipment, so that the renewable energy consumption process can be effectively managed, and the effective transmission of data and monitoring information in the virtual power plant can be guaranteed by configuring NFV network equipment and configuring network flow tables.

[0049] Corresponding to the consumption method based on virtual power plant, such as Figure 2 As shown, the present invention also provides a consumption system based on a virtual power plant, comprising:

[0050] The information acquisition unit acquires information of power grid equipment, wherein the power grid equipment includes: power generation equipment, power consumption equipment, and energy storage equipment.

[0051] The mapping construction unit constructs a virtual power plant based on the information of power generation equipment, estimates the power load based on the information of power consumption equipment, and constructs a mapping relationship between the virtual power plant, power consumption equipment, and energy storage equipment based on the estimated power load, renewable energy consumption constraints, and energy storage equipment information.

[0052] The network configuration unit configures network transmission resources based on the mapping relationship between the virtual power plant, power-consuming equipment, and energy storage equipment to obtain network configuration information.

[0053] The updating unit updates the mapping relationship and network configuration information based on the matching degree between the virtual power plant and the power-consuming equipment.

[0054] The present invention also provides a device, including a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to execute the computer program to implement the steps of the virtual power plant-based consumption method as described above.

[0055] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the virtual power plant-based consumption method as described above are implemented.

[0056] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A consumption method based on a virtual power plant, comprising the following steps: Obtaining power grid equipment information, the power grid equipment comprising: Power generation equipment, power consumption equipment, energy storage equipment; Build a virtual power plant based on the information of power generation equipment, estimate the power load based on the information of power consumption equipment, and build a mapping relationship between the virtual power plant, power consumption equipment, and energy storage equipment based on the estimated power load, renewable energy consumption constraints, and energy storage equipment information; Based on the mapping relationship between virtual power plants, power consumption equipment, and energy storage equipment, network transmission resources are configured to obtain network configuration information; Based on the matching degree between the virtual power plant and the power-consuming equipment, the mapping relationship and network configuration information are updated.

2. The method according to claim 1, characterized in that Obtaining power grid equipment information further includes: Obtain historical operation information and surrounding environment information of power grid equipment.

3. The method according to claim 2, characterized in that A virtual power plant is constructed based on the information of power generation equipment, and the power load is estimated based on the information of power consumption equipment. Based on the estimated power load, renewable energy consumption constraints and energy storage equipment information, a mapping relationship is constructed between the virtual power plant, power consumption equipment and energy storage equipment, including: Divide power generation equipment into different virtual power plants and estimate the power generation of virtual power plants; Estimate power load based on power equipment information; Based on the matching degree between the virtual power plant and the power load, a mapping relationship between the virtual power plant and the power load is constructed, wherein the matching degree is the matching degree between the power generation of the virtual power plant and the energy consumption of the power equipment; the mapping relationship complies with the information constraints of renewable energy consumption and energy storage equipment; Based on the historical operation information of the power grid equipment and the surrounding environment information, the mapping relationship between the virtual power plant and the power load is adjusted.

4. The method according to claim 1, characterized in that Network transmission resources include network transmission equipment and network flow tables based on network function virtualization (NFV) technology; Based on the mapping relationship between the virtual power plant, power consumption equipment and energy storage equipment, the network transmission resources are configured to obtain network configuration information, specifically including: based on the mapping relationship between the virtual power plant, power consumption equipment and energy storage equipment, the information transmission requirements between the virtual power plants are obtained; Logically configure network transmission resources based on information transmission requirements and configure the transmission flow table.

5. The method according to claim 1, characterized in that Based on the matching degree between the virtual power plant and the power consumption equipment, the mapping relationship and network configuration information are updated, including: Based on the grid operation data, obtain the actual matching degree between the power generation of the virtual power plant and the energy consumption of the power equipment; Adjust the virtual power plant, predict the power generation of the adjusted virtual power plant, predict the energy consumption of the power equipment, and obtain the predicted matching degree between the power generation of the virtual power plant and the energy consumption of the power equipment based on the prediction results; the adjustment of the virtual power plant complies with the renewable energy consumption constraint; Based on the actual matching degree and the predicted matching degree, the mapping relationship between the virtual power plant and the power load is updated; Based on the updated mapping relationship, the network configuration information is updated.

6. The method according to claim 3 or 5, characterized in that: One or more of the mapping relationship construction process, the mapping relationship constraint process, the mapping relationship adjustment process, and the mapping relationship update process are implemented based on a neural network.

7. The method according to claim 5, characterized in that: Based on the updated mapping relationship, the network configuration information is updated, including: A target matching degree matrix is ​​obtained based on the actual matching degree and the predicted matching degree, and an updated network transmission logic unit and a network flow table are configured for the information transmission process based on the target matching degree matrix; the target matching degree matrix is: in, Where P is the target matching degree between the virtual power plant and the power load, P threshold is the judgment threshold of target matching change.

8. A consumption system based on a virtual power plant, comprising: An information acquisition unit, which acquires information of power grid equipment, wherein the power grid equipment includes: power generation equipment, power consumption equipment, and energy storage equipment; A mapping construction unit, which constructs a virtual power plant based on the information of power generation equipment, estimates the power load based on the information of power consumption equipment, and constructs a mapping relationship between the virtual power plant, power consumption equipment, and energy storage equipment based on the estimated power load, renewable energy consumption constraints, and energy storage equipment information; The network configuration unit configures network transmission resources based on the mapping relationship between the virtual power plant, power consumption equipment, and energy storage equipment to obtain network configuration information; The updating unit updates the mapping relationship and network configuration information based on the matching degree between the virtual power plant and the power-consuming equipment.

9. A consumption device based on a virtual power plant, comprising a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to execute the computer program to implement the method according to any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method according to any one of claims 1 to 7.

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