Method and system for consumption based on virtual power plant

Abstract

The application provides a kind of based on virtual power plant's accommodation method and system, by obtaining power grid equipment information, based on power generation equipment information constructs virtual power plant, based on power consumption equipment information estimates power consumption load, based on estimated power consumption load, renewable energy accommodation constraint and energy storage equipment information, mapping relationship is constructed between virtual power plant, power consumption equipment, energy storage equipment, based on the mapping relationship between virtual power plant, power consumption equipment, energy storage equipment, network transmission resource is configured, obtains network configuration information, based on the matching degree between virtual power plant and power consumption equipment, mapping relationship and network configuration information are updated, can make the accommodation process of renewable energy be effectively managed, and can be configured to NFV network equipment and the configuration of network flow table, guarantee the effective transmission of data and monitoring information in virtual power plant.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of virtual power plant, in particular to the resource configuration technology of virtual power plant and communication network. BACKGROUND

[0002] With the continuous development of renewable energy technology, more and more renewable energy power generation equipment is currently integrated into the power supply network. Unlike traditional large power grid equipment, renewable energy equipment is usually characterized by small capacity, large quantity, and scattered distribution, so it is also called distributed power supply. At the same time, the access of distributed power supply to the power supply network may impact the stability of the power grid, and the technology called "virtual power plant (VPP)" is currently usually selected to integrate and superimpose different distributed power supply into a virtual single power plant, and through the virtual power plant, the resource scheduling and control of distributed energy are realized.

[0003] At the same time, the consumption of renewable energy is also a widely concerned technical hotspot problem, and the 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 the virtual power plant technology, it is also necessary to ensure that control instructions, business data, monitoring data, etc. can be correctly and stably sent and received.

[0004] In the prior art, there is still a lack of in-depth research on how to improve the comprehensive management capability of renewable energy consumption based on virtual power plant technology, how to ensure the stable and efficient work of the virtual power plant information transmission network, etc. It is urgent to provide a new renewable energy consumption method and system. SUMMARY

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

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

[0007] Step one, obtain power grid equipment information, the power grid equipment includes: power generation equipment, power consumption equipment, energy storage equipment.

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

[0009] Step two, based on the power generation equipment information, a virtual power plant is constructed, based on the power consumption equipment information, power consumption load is estimated, based on the estimated power consumption load, renewable energy consumption constraints, and energy storage device information, a mapping relationship is constructed among the virtual power plant, the power consumption equipment, and the energy storage device.

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

[0011] Step three, based on the mapping relationship among the virtual power plant, the power consumption equipment, and the energy storage device, the network transmission resource is configured to obtain network configuration information.

[0012] The network transmission resource includes network transmission equipment based on network function virtualization (NFV, Network Functions Virtualization) technology and network flow table. Specifically, the network transmission resource is configured to obtain network configuration information, including: based on the mapping relationship among the virtual power plant, the power consumption equipment, and the energy storage device, the information transmission demand among the virtual power plants is obtained, the information transmission demand includes data transmission demand and control information transmission demand; based on the information transmission demand, the network transmission resource is logically configured, and the transmission flow table is configured.

[0013] Step four, based on the matching degree between the virtual power plant and the power consumption equipment, the mapping relationship and the network configuration information are updated.

[0014] Specifically, based on grid operation data, an actual matching degree between virtual power plant power generation and power consumption equipment energy consumption is obtained; the virtual power plant is adjusted, the virtual power plant power generation after adjustment is predicted, the power consumption equipment energy consumption is predicted, based on the prediction result, a predicted matching degree between the virtual power plant power generation and the power consumption equipment energy consumption is obtained; the adjustment of the virtual power plant conforms to the renewable energy consumption constraint;

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

[0016] Corresponding to the virtual power plant-based consumption method, the application also provides a virtual power plant-based consumption system, comprising:

[0017] An information acquisition unit acquires grid equipment information, the grid equipment comprising: power generation equipment, power consumption equipment, energy storage equipment.

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

[0019] A network configuration unit configures network transmission resources based on the mapping relationship among the virtual power plant, the power consumption equipment and the energy storage equipment, to obtain network configuration information.

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

[0021] The application also provides a device comprising a memory and a processor, the memory being used to store a computer program, and the processor being used to execute the computer program to realize the steps of the virtual power plant-based consumption method.

[0022] The application also provides a non-transitory computer readable storage medium having a computer program stored thereon, the computer program being executed by a processor to realize the steps of the virtual power plant-based consumption method.

[0023] The present invention provides a method and system for renewable energy consumption based on virtual power plants. This method acquires grid equipment information, constructs a virtual power plant based on power generation equipment information, estimates power load based on power consumption equipment information, establishes 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 this mapping relationship, obtains network configuration information, and updates the mapping relationship and network configuration information based on the matching degree between the virtual power plant and power consumption equipment. This enables effective management of the renewable energy consumption process and ensures effective transmission of data and monitoring information within the virtual power plant through the configuration of NFV network devices and network flow tables. Attached Figure Description

[0024] Figure 1 This is a flowchart of a virtual power plant-based power consumption method;

[0025] Figure 2 This is a system block diagram of a power consumption system based on a virtual power plant. Detailed Implementation

[0026] This invention provides a method and system for renewable energy consumption based on virtual power plants, to improve the comprehensive management capabilities for renewable energy consumption and ensure the effective transmission of information in the virtual power plant network. The invention will be further described below with reference to embodiments.

[0027] This invention provides a method for absorbing power from a virtual power plant, such as... Figure 1 As shown, it includes the following steps:

[0028] Step 1: Obtain information on power grid equipment, including power generation equipment, power consumption equipment, and energy storage equipment.

[0029] Specifically, power generation equipment information includes power generation equipment type, quantity, power generation, and location information, etc., all related to power consumption. Power generation equipment type is categorized based on renewable energy type, including wind power equipment, photovoltaic equipment, etc. Power consumption equipment information includes power consumption equipment type, quantity, energy consumption, operating time, operating cycle, and location information, etc., all related to power consumption. Power consumption equipment type includes fixed-load power consumption equipment and load-accessible power consumption equipment.

[0030] In another implementation, historical operating information and surrounding environmental information of the power grid equipment can also be obtained. For example, historical fault information of the power grid equipment can be obtained; environmental sensors such as temperature sensors and humidity sensors can be deployed around the power grid equipment to obtain surrounding environmental information.

[0031] Step two, constructing a virtual power plant based on power generation equipment information, estimating power consumption load based on power consumption equipment information, constructing a mapping relationship among the virtual power plant, power consumption equipment and energy storage equipment based on the estimated power consumption load, renewable energy consumption constraint and energy storage equipment information.

[0032] Specifically, based on the obtained power generation equipment type, power generation equipment quantity, power generation information, power generation equipment location information, 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 obtained power consumption equipment type, power consumption equipment energy consumption information, power consumption equipment working time, power consumption equipment working cycle, power consumption equipment location information, the power consumption load is estimated. Based on the matching degree between the virtual power plant and the power consumption load, the mapping relationship between the virtual power plant and the power consumption load is constructed; the mapping relationship between the virtual power plant and the power consumption load meets the renewable energy consumption and energy storage equipment information constraint. 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. The renewable energy consumption and energy storage equipment information constraint is:

[0033] ∑(VP i -C i )≥0,VP i =TP i +DP ii , wherein 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 consumption load;

[0034] min∑TP i ,∑TP i is the total power generation of the traditional power plant;

[0035] min∑B i ,∑B i is the total amount of power stored by the energy storage equipment.

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

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

[0038] Step three, based on the mapping relationship between the virtual power plant, the power consumption equipment, and the energy storage equipment, the network transmission resource is configured to obtain network configuration information.

[0039] The network transmission resource includes a network transmission device based on the network function virtualization (NFV, Network Functions Virtualization) technology and a network flow table.

[0040] The network transmission resource is 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, obtaining the information transmission demand between the virtual power plants, the information transmission demand including data transmission demand and control information transmission demand; based on the information transmission demand, the network transmission resource is logically configured, and the transmission flow table is configured. Specifically, to ensure stable and efficient operation of the power transmission process between the virtual power plant and the power consumption load, data transmission and information monitoring of the virtual power plant and the power consumption load are required. When the virtual power plant and the power consumption load need to perform data transmission or monitoring information transmission and other information transmission processes, 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 four, based on the matching degree between the virtual power plant and the power consumption equipment, the mapping relationship and the network configuration information are updated.

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

[0043] Specifically, if |VP i -C i |≥P1, P1 is a matching degree threshold between power plant power generation and power consumption equipment energy consumption, VP i The power generation is adjusted, and the adjustment process meets the following constraints:

[0044] ∑(VP i -C i )≥0;min∑TP i ;

[0045] In an embodiment, the actual matching degree and the predicted matching degree are taken as input parameters, and input into a mapping relationship updating module of a neural network, the mapping relationship updating module outputs an updated mapping relationship between the virtual power plant and the power consumption load; based on the updated mapping relationship between the virtual power plant and the power consumption 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] Wherein, Wherein, P is a target matching degree between the virtual power plant and the power consumption load, P threshold is a judgment threshold of the target matching degree change.

[0048] The virtual power plant-based consumption method provided by the application can effectively manage the consumption process of renewable energy, and can ensure the effective transmission of data and monitoring information in the virtual power plant through the configuration of the NFV network device and the configuration of the network flow table.

[0049] Corresponding to the virtual power plant-based consumption method, as shown in Figure 2 The application also provides a virtual power plant-based consumption system, comprising:

[0050] An information acquisition unit acquires power grid equipment information, the power grid equipment including power generation equipment, power consumption equipment and energy storage equipment.

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

[0052] The network configuration unit configures the network transmission resource based on the mapping relationship among the virtual power plant, the power consumption equipment and the energy storage equipment, and obtains network configuration information.

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

[0054] The application further provides a device comprising a memory and a processor, wherein the memory is used for storing a computer program, and the processor is used for executing the computer program to realize the steps of the virtual power plant-based consumption method.

[0055] The application further provides a non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to realize the steps of the virtual power plant-based consumption method.

[0056] The above describes one embodiment of the application in detail, but the content is only the preferred embodiment of the application and cannot be considered as limiting the scope of the application. Any equivalent changes and improvements made within the scope of the application should still belong to the patent coverage of the application.

Claims

1. A method for absorbing power from a virtual power plant, comprising the following steps: Obtain information about power grid equipment, including: Power generation equipment, electrical equipment, energy storage equipment; A virtual power plant is constructed based on power generation equipment information, and the power load is estimated based on power consumption equipment information. Based on the estimated power load, renewable energy consumption constraints, and energy storage equipment information, a mapping relationship is established between the virtual power plant, power consumption equipment, and energy storage equipment. Based on the mapping relationship between virtual power plants, electrical equipment, and energy storage devices, network transmission resources are configured to obtain network configuration information; Based on the matching degree between virtual power plants and electrical equipment, the mapping relationship and network configuration information are updated; Acquiring information about power grid equipment further includes: acquiring historical operating information and surrounding environmental information of the power grid equipment; A virtual power plant is constructed based on power generation equipment information. Electricity load is estimated based on electricity consumption equipment information. Based on the estimated electricity load, renewable energy consumption constraints, and energy storage equipment information, a mapping relationship is established between the virtual power plant, electricity consumption equipment, and energy storage equipment, including: The power generation equipment is divided into different virtual power plants, and the power generation of the virtual power plants is estimated. Predict electrical load based on equipment information; Based on the matching degree between virtual power plants and electricity loads, a mapping relationship between virtual power plants and electricity loads is constructed. The matching degree is the matching degree between the power generation of the virtual power plant and the energy consumption of the electrical equipment. The mapping relationship conforms to the information constraints of renewable energy consumption and energy storage equipment. Based on the historical operating information of power grid equipment and surrounding environmental information, the mapping relationship between virtual power plants and electricity loads is adjusted; Based on the matching degree between virtual power plants and electrical equipment, the mapping relationship and network configuration information are updated, including: Based on power grid operation data, obtain the actual matching degree between the power generation of the virtual power plant and the energy consumption of electrical equipment; The virtual power plant is adjusted, and the power generation of the adjusted virtual power plant is predicted. The energy consumption of electrical equipment is also predicted. Based on the prediction results, the prediction matching degree between the power generation of the virtual power plant and the energy consumption of electrical equipment is obtained. The adjustment of the virtual power plant complies with the renewable energy consumption constraints. The mapping relationship between virtual power plants and electricity loads is updated based on the actual matching degree and the predicted matching degree. The network configuration information is updated based on the updated mapping relationship.

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

3. The method according to claim 1, characterized in that: The process of constructing the mapping relationship based on a neural network, constraining the mapping relationship, adjusting the mapping relationship, and updating the mapping relationship are one or more of the following processes:

4. The method according to claim 1, characterized in that, Based on the updated mapping relationship, the network configuration information is updated, including: The target matching degree matrix is ​​obtained based on the actual matching degree and the predicted matching degree. Based on the target matching degree matrix, updated network transmission logic units and network flow tables are configured for the information transmission process. The target matching degree matrix is: in, Where P is the target matching degree between the virtual power plant and the electricity load, P threshold The threshold for judging changes in target matching degree.

5. A power consumption system based on a virtual power plant, comprising: An information acquisition unit acquires information about power grid equipment, including: power generation equipment, power consumption equipment, and energy storage equipment. The mapping construction unit constructs a virtual power plant based on power generation equipment information, estimates the power load based on power consumption equipment information, and establishes 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 virtual power plants, electrical equipment, and energy storage devices to obtain network configuration information; The update unit updates the mapping relationship and network configuration information based on the matching degree between the virtual power plant and the electrical equipment. Acquiring information about power grid equipment further includes: acquiring historical operating information and surrounding environmental information of the power grid equipment; A virtual power plant is constructed based on power generation equipment information. Electricity load is estimated based on electricity consumption equipment information. Based on the estimated electricity load, renewable energy consumption constraints, and energy storage equipment information, a mapping relationship is established between the virtual power plant, electricity consumption equipment, and energy storage equipment, including: The power generation equipment is divided into different virtual power plants, and the power generation of the virtual power plants is estimated. Predict electrical load based on equipment information; Based on the matching degree between virtual power plants and electricity loads, a mapping relationship between virtual power plants and electricity loads is constructed. The matching degree is the matching degree between the power generation of the virtual power plant and the energy consumption of the electrical equipment. The mapping relationship conforms to the information constraints of renewable energy consumption and energy storage equipment. Based on the historical operating information of power grid equipment and surrounding environmental information, the mapping relationship between virtual power plants and electricity loads is adjusted; Based on the matching degree between virtual power plants and electrical equipment, the mapping relationship and network configuration information are updated, including: Based on power grid operation data, obtain the actual matching degree between the power generation of the virtual power plant and the energy consumption of electrical equipment; The virtual power plant is adjusted, and the power generation of the adjusted virtual power plant is predicted. The energy consumption of electrical equipment is also predicted. Based on the prediction results, the prediction matching degree between the power generation of the virtual power plant and the energy consumption of electrical equipment is obtained. The adjustment of the virtual power plant complies with the renewable energy consumption constraints. The mapping relationship between virtual power plants and electricity loads is updated based on the actual matching degree and the predicted matching degree. The network configuration information is updated based on the updated mapping relationship.

6. A power 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 as described in any one of claims 1-4.

7. A non-transitory computer-readable storage medium having a computer program stored thereon, the computer program being executed by a processor to implement the method as described in any one of claims 1-4.

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