CN118070487A - Resource allocation method and device for virtual power plant, storage medium and computer equipment - Google Patents
Resource allocation method and device for virtual power plant, storage medium and computer equipment Download PDFInfo
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Abstract
The application discloses a resource allocation method and device of a virtual power plant, a storage medium and computer equipment, wherein the method comprises the following steps: determining access resource information of a target virtual power plant, wherein the access resource information comprises resource types and resource characteristics corresponding to a plurality of access resources; dividing a plurality of access resources into a plurality of resource groups according to resource types, and respectively establishing an aggregation characteristic model and a response characteristic model corresponding to each resource group based on the resource characteristics corresponding to each resource group; and allocating the access resources in each resource group based on the aggregation characteristic model and the response characteristic model. The method can realize effective complementation and full utilization among multiple types of resources and support the multiple time scale regulation and control targets of the virtual power plant.
Description
Technical Field
The application relates to the technical field of virtual power plants, in particular to a resource allocation method and device of a virtual power plant, a storage medium and computer equipment.
Background
The virtual power plant is a power coordination management system for realizing aggregation and coordination optimization of distributed power sources (distributed energy resource, DER) such as distributed power sources (distributed generator, DG), an energy storage system, controllable loads, electric vehicles and the like through advanced information communication technology and a software system, so as to be used as a special power plant to participate in the power market and the power grid operation. Virtual power plants are capable of aggregating DERs into the operation of the power market and auxiliary service market, providing management and auxiliary services for distribution and transmission grids.
In the prior art, in the resource allocation of a virtual power plant, as allocation resources may be distributed in different energy systems/scenes, unified management needs to be performed on equipment of different technology types, and the load characteristics of the equipment exhibit complexity, uncertainty and dynamic change characteristics. Therefore, there are problems that resource allocation is difficult and the allocation method cannot be matched with the actual demand.
Disclosure of Invention
In view of the above, the embodiments of the present application provide a resource allocation method and apparatus, a storage medium, and a computer device for a virtual power plant.
According to an aspect of the present application, there is provided a resource allocation method of a virtual power plant, the method comprising:
determining access resource information of a target virtual power plant, wherein the access resource information comprises resource types and resource characteristics corresponding to a plurality of access resources;
Dividing a plurality of access resources into a plurality of resource groups according to resource types, and respectively establishing an aggregation characteristic model and a response characteristic model corresponding to each resource group based on the resource characteristics corresponding to each resource group;
And allocating the access resources in each resource group based on the aggregation characteristic model and the response characteristic model.
Optionally, the resource type includes a distributed power device, an energy storage device, and a load device; the distributed power supply equipment comprises distributed wind energy, distributed photovoltaic and combined cooling, heating and power; the energy storage device comprises a centralized energy storage device and a distributed energy storage device; the load equipment comprises an air conditioner, an electric boiler, an electric water heater, an electric automobile and a water pump; the resource group comprises a distributed power supply equipment group, an energy storage equipment group and a load equipment group.
Optionally, the establishing an aggregate characteristic model and a response characteristic model corresponding to each resource group based on the resource characteristics corresponding to each resource group includes:
acquiring output characteristics and/or load characteristics of each access device in each resource group, and acquiring first difference characteristics of each access device in a time scale direction and second difference characteristics of each access device in an inertia direction in an energy production process corresponding to the target virtual power plant;
According to the output characteristics and/or the load characteristics, the first difference characteristics and the second difference characteristics of each access device, constructing a physical characteristic model of each access device, and establishing an aggregation characteristic model of each resource group based on the physical characteristic model of each access device in each resource group through an aggregation technology, wherein the aggregation characteristic model comprises a distributed power supply aggregation characteristic model, an energy storage device aggregation characteristic model and a load aggregation characteristic model;
and establishing a response characteristic model of each resource group according to the output characteristic and/or the load characteristic of each access device in each resource group, wherein the response characteristic model comprises a distributed power supply response characteristic model, an energy storage device response characteristic model and a load response characteristic model.
Optionally, the allocating access resources in each resource group based on the aggregate characteristic model and the response characteristic model includes:
Determining a plurality of application scenes corresponding to the target virtual power plant, and determining a resource allocation rule of each application scene based on resource allocation characteristics of various types of resources corresponding to each application scene;
Establishing a resource allocation model of each application scene based on the resource allocation rule, the aggregation characteristic model and the response characteristic model;
And selecting a target resource allocation model corresponding to the current application scene from the resource allocation models, acquiring real-time access equipment information and electricity utilization plan information corresponding to the target virtual power plant, and allocating output parameters and/or load parameters of the real-time access equipment by taking preset conditions as allocation targets and utilizing the target resource allocation model according to the real-time access equipment information and the electricity utilization plan information.
Optionally, the allocating the output parameter and/or the load parameter of the real-time access device by using the target resource allocation model with the preset condition as the allocation target according to the real-time access device information and the power consumption plan information includes:
Determining controllable load equipment and uncontrollable load equipment which are accessed in real time according to the real-time access equipment information, and determining controllable electricity utilization planning information of the controllable load equipment and uncontrollable electricity utilization planning information of the uncontrollable load equipment according to the electricity utilization planning information, wherein the controllable electricity utilization planning information comprises minimum electricity utilization planning information and maximum electricity utilization planning information;
and determining optimal output parameters and/or optimal load parameters of each real-time access device by taking preset conditions as allocation targets and utilizing the target resource allocation model according to the real-time access device information, the controllable electricity utilization plan information and the uncontrollable electricity utilization plan information, and allocating the output parameters and/or the load parameters of each real-time access device based on the optimal output parameters and/or the optimal load parameters.
Optionally, the allocating the output parameter and/or the load parameter of each real-time access device based on the optimal output parameter and/or the optimal load parameter includes:
judging whether each real-time access device in each resource group has operation risk or not based on the optimal output parameter and/or the optimal load parameter corresponding to each real-time access device in each resource group;
And if any real-time access equipment has operation risk, re-determining the allocation target based on the risk access equipment with operation risk and the preset condition, and re-determining the optimal output parameters and/or the optimal load parameters of each access equipment for allocation.
Optionally, the preset condition includes one of lowest operation cost of the target virtual power plant, maximum benefit of the target virtual power plant, and highest load equipment operation efficiency of the target virtual power plant.
According to another aspect of the present application, there is provided a resource allocation apparatus of a virtual power plant, the apparatus comprising:
the information determining module is used for determining access resource information of the target virtual power plant, wherein the access resource information comprises resource types and resource characteristics corresponding to a plurality of access resources;
the model building module is used for dividing a plurality of access resources into a plurality of resource groups according to resource types, and respectively building an aggregation characteristic model and a response characteristic model corresponding to each resource group based on the resource characteristics corresponding to each resource group;
and the resource allocation module is used for allocating the access resources in each resource group based on the aggregation characteristic model and the response characteristic model.
Optionally, the resource type includes a distributed power device, an energy storage device, and a load device; the distributed power supply equipment comprises distributed wind energy, distributed photovoltaic and combined cooling, heating and power; the energy storage device comprises a centralized energy storage device and a distributed energy storage device; the load equipment comprises an air conditioner, an electric boiler, an electric water heater, an electric automobile and a water pump; the resource group comprises a distributed power supply equipment group, an energy storage equipment group and a load equipment group.
Optionally, the model building module is configured to:
acquiring output characteristics and/or load characteristics of each access device in each resource group, and acquiring first difference characteristics of each access device in a time scale direction and second difference characteristics of each access device in an inertia direction in an energy production process corresponding to the target virtual power plant;
According to the output characteristics and/or the load characteristics, the first difference characteristics and the second difference characteristics of each access device, constructing a physical characteristic model of each access device, and establishing an aggregation characteristic model of each resource group based on the physical characteristic model of each access device in each resource group through an aggregation technology, wherein the aggregation characteristic model comprises a distributed power supply aggregation characteristic model, an energy storage device aggregation characteristic model and a load aggregation characteristic model;
and establishing a response characteristic model of each resource group according to the output characteristic and/or the load characteristic of each access device in each resource group, wherein the response characteristic model comprises a distributed power supply response characteristic model, an energy storage device response characteristic model and a load response characteristic model.
Optionally, the resource allocation module is configured to:
Determining a plurality of application scenes corresponding to the target virtual power plant, and determining a resource allocation rule of each application scene based on resource allocation characteristics of various types of resources corresponding to each application scene;
Establishing a resource allocation model of each application scene based on the resource allocation rule, the aggregation characteristic model and the response characteristic model;
And selecting a target resource allocation model corresponding to the current application scene from the resource allocation models, acquiring real-time access equipment information and electricity utilization plan information corresponding to the target virtual power plant, and allocating output parameters and/or load parameters of the real-time access equipment by taking preset conditions as allocation targets and utilizing the target resource allocation model according to the real-time access equipment information and the electricity utilization plan information.
Optionally, the resource allocation module is configured to:
Determining controllable load equipment and uncontrollable load equipment which are accessed in real time according to the real-time access equipment information, and determining controllable electricity utilization planning information of the controllable load equipment and uncontrollable electricity utilization planning information of the uncontrollable load equipment according to the electricity utilization planning information, wherein the controllable electricity utilization planning information comprises minimum electricity utilization planning information and maximum electricity utilization planning information;
and determining optimal output parameters and/or optimal load parameters of each real-time access device by taking preset conditions as allocation targets and utilizing the target resource allocation model according to the real-time access device information, the controllable electricity utilization plan information and the uncontrollable electricity utilization plan information, and allocating the output parameters and/or the load parameters of each real-time access device based on the optimal output parameters and/or the optimal load parameters.
Optionally, the resource allocation module is configured to:
judging whether each real-time access device in each resource group has operation risk or not based on the optimal output parameter and/or the optimal load parameter corresponding to each real-time access device in each resource group;
And if any real-time access equipment has operation risk, re-determining the allocation target based on the risk access equipment with operation risk and the preset condition, and re-determining the optimal output parameters and/or the optimal load parameters of each access equipment for allocation.
Optionally, the preset condition includes one of lowest operation cost of the target virtual power plant, maximum benefit of the target virtual power plant, and highest load equipment operation efficiency of the target virtual power plant.
According to still another aspect of the present application, there is provided a storage medium having stored thereon a computer program which, when executed by a processor, implements the resource allocation method of a virtual power plant described above.
According to still another aspect of the present application, there is provided a computer device including a storage medium, a processor and a computer program stored on the storage medium and executable on the processor, the processor implementing the resource allocation method of a virtual power plant described above when executing the program.
By means of the technical scheme, the resource allocation method, the resource allocation device, the storage medium and the computer equipment of the virtual power plant provided by the embodiment of the application are used for grouping all access resources of the target virtual power plant according to the resource types to obtain a plurality of resource groups with different resource types, and for each resource group, the resource characteristics of all access equipment in the resource groups are utilized to construct an aggregation characteristic model and a response characteristic model of each resource group, so that all access equipment of the target virtual power plant is allocated by utilizing the aggregation characteristic model and the response characteristic model to optimize the equipment running state of the target virtual power plant. According to the embodiment of the application, the load characteristics of various types of resources accessed into the virtual power plant are obtained; establishing an aggregate characteristic model of the resources based on the resource types and the resource characteristics of each type of resources; and establishing an aggregation characteristic and response characteristic model of the multi-energy multi-main-body equipment based on the resource characteristic and the aggregation characteristic model, and establishing a virtual power plant source charge storage aggregation resource self-adaptive dynamic combination method by using a phasing model to obtain a resource allocation method of the target virtual power plant. The method realizes the effective complementation and full utilization of the multi-energy resources and supports the multi-time scale regulation and control target of the virtual power plant.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
FIG. 1 shows a schematic flow chart of a resource allocation method of a virtual power plant according to an embodiment of the present application;
fig. 2 shows a schematic structural diagram of a resource allocation device of a virtual power plant according to an embodiment of the present application.
Detailed Description
The application will be described in detail hereinafter with reference to the drawings in conjunction with embodiments. It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other.
In this embodiment, a resource allocation method of a virtual power plant is provided, as shown in fig. 1, and the method includes:
and step 101, determining access resource information of a target virtual power plant, wherein the access resource information comprises resource types and resource characteristics corresponding to a plurality of access resources.
In the embodiment of the application, the access resource information of the permission of the target virtual power plant needing to carry out resource allocation is obtained, wherein the access resource information comprises access resources of all types and resource characteristics of all access resources, and the resource characteristics specifically comprise the output characteristic and the load characteristic of the resources so as to realize resource allocation based on the resource characteristics.
Optionally, the resource type includes a distributed power device, an energy storage device, and a load device; the distributed power supply equipment comprises distributed wind energy, distributed photovoltaic and combined cooling, heating and power; the energy storage device comprises a centralized energy storage device and a distributed energy storage device; the load equipment comprises an air conditioner, an electric boiler, an electric water heater, an electric automobile and a water pump; the resource group comprises a distributed power supply equipment group, an energy storage equipment group and a load equipment group. The load devices can be divided into controllable load devices and uncontrollable load devices, wherein the controllable load devices refer to load devices capable of regulating and controlling power, and the uncontrollable load devices refer to load devices incapable of regulating and controlling power.
Step 102, dividing the plurality of access resources into a plurality of resource groups according to the resource types, and respectively establishing an aggregate characteristic model and a response characteristic model corresponding to each resource group based on the resource characteristics corresponding to each resource group.
In the embodiment of the application, after each access resource of the target virtual power plant is determined, different types of access resources can be divided into corresponding resource groups according to the types of the access resources, so as to form the resource groups of each resource type. After obtaining resource groups of different resource types, according to the resource characteristics of each access device in the resource groups, an aggregation characteristic model and a response characteristic model corresponding to each resource group are established, so that when the access resource allocation is carried out subsequently, the resource allocation can be carried out by considering the relevance among all types of access devices of the same type in the group.
In this embodiment of the present application, optionally, the establishing an aggregate characteristic model and a response characteristic model corresponding to each resource group based on the resource characteristics corresponding to each resource group includes:
102-1, acquiring output characteristics and/or load characteristics of each access device in each resource group, and acquiring first difference characteristics of each access device in a time scale direction and second difference characteristics of each access device in an inertial measurement direction in an energy production process corresponding to the target virtual power plant;
102-2, constructing a physical characteristic model of each access device according to the output characteristic and/or the load characteristic, the first difference characteristic and the second difference characteristic of each access device, and constructing an aggregation characteristic model of each resource group based on the physical characteristic model of each access device in each resource group through an aggregation technology, wherein the aggregation characteristic model comprises a distributed power supply aggregation characteristic model, an energy storage device aggregation characteristic model and a load aggregation characteristic model;
102-3, establishing a response characteristic model of each resource group according to the output characteristic and/or the load characteristic of each access device in each resource group, wherein the response characteristic model comprises a distributed power supply response characteristic model, an energy storage device response characteristic model and a load response characteristic model.
In this embodiment, for any one resource group, the resource characteristics, that is, the output characteristics and/or the load characteristics, of each access device in the resource group are obtained, and the difference characteristics, that is, the first difference characteristic and the second difference characteristic, of each access device in the time scale direction and the inertia scale direction are obtained, so that the process description is performed on the power balance and the dynamic output of each access device according to the resource characteristics, the first difference characteristic and the second difference characteristic of each access device, so as to construct the physical characteristic model of each access device. Based on the physical device characteristic model of each access device and a preset aggregation technology, an aggregation characteristic model of a resource group is constructed, for example, a distributed power supply aggregation characteristic model, an energy storage device aggregation characteristic model and a load aggregation characteristic model are constructed according to the aggregation technology of multiple load resources such as fuzzy clustering, K-Means clustering and the like of target virtual power plant data mining analysis. So that the aggregate characteristics of the internals between a class of access devices are described by an aggregate characteristics model. In addition, a response characteristic model of each resource group can be established according to the output characteristic and the load characteristic of each access device in each resource group, so as to obtain a distributed power supply response characteristic model, an energy storage device response characteristic model and a load response characteristic model. So that the response characteristics of a type of response of an access device to external stimuli are described by a response characteristics model.
And 103, allocating the access resources in each resource group based on the aggregation characteristic model and the response characteristic model.
In the embodiment of the application, after the aggregation characteristic model and the response characteristic model of various types of resources are constructed, the resource allocation of different types of access equipment can be realized by utilizing the aggregation characteristic model and the response characteristic model according to the information such as the actual access equipment of the target virtual power plant, the power consumption plan of the actual access equipment and the like, so that the influence of the various types of access equipment is fully considered and the parameters of the various access equipment are allocated. The resource allocation of the virtual power plant improves the output stability of the distributed resources and the use efficiency of each resource, ensures the safe, reliable and economic operation of the virtual power plant, and increases the benefits of the virtual power plant in the electric power market.
In an embodiment of the present application, optionally, the allocating access resources in each of the resource groups based on the aggregate characteristic model and the response characteristic model includes:
Step 103-1, determining a plurality of application scenes corresponding to the target virtual power plant, and determining a resource allocation rule of each application scene based on resource allocation characteristics of various types of resources corresponding to each application scene;
step 103-2, establishing a resource allocation model of each application scene based on the resource allocation rule, the aggregation characteristic model and the response characteristic model;
And 103-3, selecting a target resource allocation model corresponding to the current application scene from the resource allocation models, acquiring real-time access equipment information and electricity utilization planning information corresponding to the target virtual power plant, and allocating output parameters and/or load parameters of the real-time access equipment by taking preset conditions as allocation targets and utilizing the target resource allocation model according to the real-time access equipment information and the electricity utilization planning information.
In this embodiment, the decomposition coordination concept may be used to determine multiple application scenarios of the target virtual power plant, and determine, based on different resource allocation characteristics of various types of resources in different application scenarios, a guaranteed priority order that needs to be guaranteed for working capabilities of each resource group when each resource group is used in different application scenarios. For example, the application scenario energy storage device resource group corresponding to the morning time period has high guaranteed priority, and the application scenario load device resource group corresponding to the noon time period has high guaranteed priority. Thereby, the resource allocation rule of each application scene is determined based on the guaranteed priority order of each resource group. The application scene and the time period do not completely correspond, for example, the time period in the morning generally stores energy preferentially, but in some special cases, reliable operation of the load equipment is very important, and resource allocation can be performed by selecting a resource group of the load equipment as a rule of the application scene with the highest priority. Further, according to the resource allocation rules under each application scene, and the aggregate characteristic model and the response characteristic model of each resource group, establishing a resource allocation model of each application scene. In the using stage of the model, determining a current scene according to the current scene information, and acquiring a resource allocation model of an application scene consistent with the current application scene as a target resource allocation model; then acquiring real-time access equipment information of a target virtual power plant and power consumption plan information of load equipment in the real-time access equipment; and finally, taking the preset condition as a deployment target, and generating deployment parameters of each real-time access device by utilizing a target resource deployment model according to the real-time access device information and the electricity consumption plan information, so as to set the output parameters and the load parameters of each real-time access device, and enabling the target virtual power plant to be kept in an optimal running state by taking the preset condition as the target. The preset condition comprises one of the lowest running cost of the target virtual power plant, the maximum income of the target virtual power plant and the highest running efficiency of load equipment of the target virtual power plant.
In the embodiment of the present application, optionally, in step 103-3, the allocating the output parameter and/or the load parameter of the real-time access device according to the real-time access device information and the power consumption plan information by using the target resource allocation model with the preset condition as the allocation target includes: determining controllable load equipment and uncontrollable load equipment which are accessed in real time according to the real-time access equipment information, and determining controllable electricity utilization planning information of the controllable load equipment and uncontrollable electricity utilization planning information of the uncontrollable load equipment according to the electricity utilization planning information, wherein the controllable electricity utilization planning information comprises minimum electricity utilization planning information and maximum electricity utilization planning information; and determining optimal output parameters and/or optimal load parameters of each real-time access device by taking preset conditions as allocation targets and utilizing the target resource allocation model according to the real-time access device information, the controllable electricity utilization plan information and the uncontrollable electricity utilization plan information, and allocating the output parameters and/or the load parameters of each real-time access device based on the optimal output parameters and/or the optimal load parameters.
In this embodiment, the load devices include controllable load devices and uncontrollable load devices, and the electricity consumption plan information includes electricity consumption plan information of each load device, where controllable electricity consumption plan information of any controllable load device is minimum electricity consumption plan information and maximum electricity consumption plan information of the device, and uncontrollable electricity consumption plan information of the uncontrollable load device is fixed electricity consumption plan information. And the optimal output parameters and/or the optimal load parameters of the real-time access equipment are planned by taking the preset conditions as allocation targets and utilizing a target resource allocation model according to the real-time access equipment information, the controllable electricity consumption plan information and the uncontrollable electricity consumption plan information, so that the real-time access equipment is allocated according to the optimal output parameters and/or the optimal load parameters. The target resource allocation model is used for planning optimal working parameters of each real-time access device to reach the target by taking preset conditions as targets, and the uncontrollable load device and the controllable load device can meet respective power utilization plans and ensure working effects.
In an embodiment of the present application, optionally, the allocating the output parameter and/or the load parameter of each real-time access device based on the optimal output parameter and/or the optimal load parameter includes: judging whether each real-time access device in each resource group has operation risk or not based on the optimal output parameter and/or the optimal load parameter corresponding to each real-time access device in each resource group; and if any real-time access equipment has operation risk, re-determining the allocation target based on the risk access equipment with operation risk and the preset condition, and re-determining the optimal output parameters and/or the optimal load parameters of each access equipment for allocation.
In this embodiment, after determining the optimal output parameter and/or the optimal load parameter of each real-time access device by using the target resource allocation model, in order to ensure that each device not only can meet the allocation target, but also can ensure the operation safety of each device, whether each real-time access device has an operation risk or not can be determined according to the optimal output parameter and/or the optimal load parameter of each real-time access device in each resource group, if a certain device has an operation risk, the allocation target can be regenerated according to the risk access device having an operation risk and a preset condition, and the regenerated allocation target is utilized to reuse the target resource allocation model to determine the new optimal output parameter and/or the optimal load parameter of each real-time access device until the determined optimal output parameter and/or the optimal load parameter of each real-time access device not only meets the allocation target, but also does not have an operation risk, so that each real-time access device can be allocated according to the finally determined optimal output parameter and/or the optimal load parameter, and the target virtual power plant can operate in an optimal mode under the condition of ensuring the operation safety.
By applying the technical scheme of the embodiment, all access resources of the target virtual power plant are grouped according to the resource types to obtain a plurality of resource groups with different resource types, and for each resource group, an aggregate characteristic model and a response characteristic model of each resource group are constructed by utilizing the resource characteristics of all access devices in the resource group, so that all access devices of the target virtual power plant are allocated by utilizing the aggregate characteristic model and the response characteristic model to optimize the device running state of the target virtual power plant. According to the embodiment of the application, the load characteristics of various types of resources accessed into the virtual power plant are obtained; establishing an aggregate characteristic model of the resources based on the resource types and the resource characteristics of each type of resources; and establishing an aggregation characteristic and response characteristic model of the multi-type multi-main-body equipment based on the resource characteristic and the aggregation characteristic model, and establishing a virtual power plant source charge storage aggregation resource self-adaptive dynamic combination method by using a phasing model to obtain a resource allocation method of the target virtual power plant. The method realizes the effective complementation and full utilization of the multi-energy resources and supports the multi-time scale regulation and control target of the virtual power plant.
Further, as a specific implementation of the method of fig. 1, an embodiment of the present application provides a resource allocation apparatus of a virtual power plant, as shown in fig. 2, where the apparatus includes:
the information determining module is used for determining access resource information of the target virtual power plant, wherein the access resource information comprises resource types and resource characteristics corresponding to a plurality of access resources;
the model building module is used for dividing a plurality of access resources into a plurality of resource groups according to resource types, and respectively building an aggregation characteristic model and a response characteristic model corresponding to each resource group based on the resource characteristics corresponding to each resource group;
and the resource allocation module is used for allocating the access resources in each resource group based on the aggregation characteristic model and the response characteristic model.
Optionally, the resource type includes a distributed power device, an energy storage device, and a load device; the distributed power supply equipment comprises distributed wind energy, distributed photovoltaic and combined cooling, heating and power; the energy storage device comprises a centralized energy storage device and a distributed energy storage device; the load equipment comprises an air conditioner, an electric boiler, an electric water heater, an electric automobile and a water pump; the resource group comprises a distributed power supply equipment group, an energy storage equipment group and a load equipment group.
Optionally, the model building module is configured to:
acquiring output characteristics and/or load characteristics of each access device in each resource group, and acquiring first difference characteristics of each access device in a time scale direction and second difference characteristics of each access device in an inertia direction in an energy production process corresponding to the target virtual power plant;
According to the output characteristics and/or the load characteristics, the first difference characteristics and the second difference characteristics of each access device, constructing a physical characteristic model of each access device, and establishing an aggregation characteristic model of each resource group based on the physical characteristic model of each access device in each resource group through an aggregation technology, wherein the aggregation characteristic model comprises a distributed power supply aggregation characteristic model, an energy storage device aggregation characteristic model and a load aggregation characteristic model;
and establishing a response characteristic model of each resource group according to the output characteristic and/or the load characteristic of each access device in each resource group, wherein the response characteristic model comprises a distributed power supply response characteristic model, an energy storage device response characteristic model and a load response characteristic model.
Optionally, the resource allocation module is configured to:
Determining a plurality of application scenes corresponding to the target virtual power plant, and determining a resource allocation rule of each application scene based on resource allocation characteristics of various types of resources corresponding to each application scene;
Establishing a resource allocation model of each application scene based on the resource allocation rule, the aggregation characteristic model and the response characteristic model;
And selecting a target resource allocation model corresponding to the current application scene from the resource allocation models, acquiring real-time access equipment information and electricity utilization plan information corresponding to the target virtual power plant, and allocating output parameters and/or load parameters of the real-time access equipment by taking preset conditions as allocation targets and utilizing the target resource allocation model according to the real-time access equipment information and the electricity utilization plan information.
Optionally, the resource allocation module is configured to:
Determining controllable load equipment and uncontrollable load equipment which are accessed in real time according to the real-time access equipment information, and determining controllable electricity utilization planning information of the controllable load equipment and uncontrollable electricity utilization planning information of the uncontrollable load equipment according to the electricity utilization planning information, wherein the controllable electricity utilization planning information comprises minimum electricity utilization planning information and maximum electricity utilization planning information;
and determining optimal output parameters and/or optimal load parameters of each real-time access device by taking preset conditions as allocation targets and utilizing the target resource allocation model according to the real-time access device information, the controllable electricity utilization plan information and the uncontrollable electricity utilization plan information, and allocating the output parameters and/or the load parameters of each real-time access device based on the optimal output parameters and/or the optimal load parameters.
Optionally, the resource allocation module is configured to:
judging whether each real-time access device in each resource group has operation risk or not based on the optimal output parameter and/or the optimal load parameter corresponding to each real-time access device in each resource group;
And if any real-time access equipment has operation risk, re-determining the allocation target based on the risk access equipment with operation risk and the preset condition, and re-determining the optimal output parameters and/or the optimal load parameters of each access equipment for allocation.
Optionally, the preset condition includes one of lowest operation cost of the target virtual power plant, maximum benefit of the target virtual power plant, and highest load equipment operation efficiency of the target virtual power plant.
It should be noted that, in the embodiment of the present application, other corresponding descriptions of each functional unit related to the resource allocation device of the virtual power plant may refer to corresponding descriptions in the method of fig. 1, and are not described herein again.
The embodiment of the application also provides computer equipment, which can be a personal computer, a server, network equipment and the like, and comprises a bus, a processor, a memory, a communication interface, an input/output interface and a display device. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is for storing location information. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement the steps in the method embodiments.
It will be appreciated by those skilled in the art that the structure of the computer device described above is merely a partial structure related to the present application and does not constitute a limitation of the computer device to which the present application is applied, and that a specific computer device may include more or fewer components, or may combine certain components, or have different arrangements of components.
In one embodiment, a computer readable storage medium is provided, which may be non-volatile or volatile, and on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method embodiments described above.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
The user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magneto-resistive random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (PHASE CHANGE Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in various forms such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), etc. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.
Claims (10)
1. A method for resource allocation of a virtual power plant, the method comprising:
determining access resource information of a target virtual power plant, wherein the access resource information comprises resource types and resource characteristics corresponding to a plurality of access resources;
Dividing a plurality of access resources into a plurality of resource groups according to resource types, and respectively establishing an aggregation characteristic model and a response characteristic model corresponding to each resource group based on the resource characteristics corresponding to each resource group;
And allocating the access resources in each resource group based on the aggregation characteristic model and the response characteristic model.
2. The method of claim 1, wherein the resource types include distributed power devices, energy storage devices, and load devices; the distributed power supply equipment comprises distributed wind energy, distributed photovoltaic and combined cooling, heating and power; the energy storage device comprises a centralized energy storage device and a distributed energy storage device; the load equipment comprises an air conditioner, an electric boiler, an electric water heater, an electric automobile and a water pump; the resource group comprises a distributed power supply equipment group, an energy storage equipment group and a load equipment group.
3. The method according to claim 2, wherein the establishing an aggregate characteristic model and a response characteristic model corresponding to each resource group based on the resource characteristics corresponding to each resource group includes:
acquiring output characteristics and/or load characteristics of each access device in each resource group, and acquiring first difference characteristics of each access device in a time scale direction and second difference characteristics of each access device in an inertia direction in an energy production process corresponding to the target virtual power plant;
According to the output characteristics and/or the load characteristics, the first difference characteristics and the second difference characteristics of each access device, constructing a physical characteristic model of each access device, and establishing an aggregation characteristic model of each resource group based on the physical characteristic model of each access device in each resource group through an aggregation technology, wherein the aggregation characteristic model comprises a distributed power supply aggregation characteristic model, an energy storage device aggregation characteristic model and a load aggregation characteristic model;
and establishing a response characteristic model of each resource group according to the output characteristic and/or the load characteristic of each access device in each resource group, wherein the response characteristic model comprises a distributed power supply response characteristic model, an energy storage device response characteristic model and a load response characteristic model.
4. The method of claim 2, wherein the deploying access resources within each of the resource groups based on the aggregate characteristic model and the response characteristic model comprises:
Determining a plurality of application scenes corresponding to the target virtual power plant, and determining a resource allocation rule of each application scene based on resource allocation characteristics of various types of resources corresponding to each application scene;
Establishing a resource allocation model of each application scene based on the resource allocation rule, the aggregation characteristic model and the response characteristic model;
And selecting a target resource allocation model corresponding to the current application scene from the resource allocation models, acquiring real-time access equipment information and electricity utilization plan information corresponding to the target virtual power plant, and allocating output parameters and/or load parameters of the real-time access equipment by taking preset conditions as allocation targets and utilizing the target resource allocation model according to the real-time access equipment information and the electricity utilization plan information.
5. The method according to claim 4, wherein the allocating the output parameter and/or the load parameter of the real-time access device according to the real-time access device information and the power consumption plan information by using the target resource allocation model with the preset condition as the allocation target includes:
Determining controllable load equipment and uncontrollable load equipment which are accessed in real time according to the real-time access equipment information, and determining controllable electricity utilization planning information of the controllable load equipment and uncontrollable electricity utilization planning information of the uncontrollable load equipment according to the electricity utilization planning information, wherein the controllable electricity utilization planning information comprises minimum electricity utilization planning information and maximum electricity utilization planning information;
and determining optimal output parameters and/or optimal load parameters of each real-time access device by taking preset conditions as allocation targets and utilizing the target resource allocation model according to the real-time access device information, the controllable electricity utilization plan information and the uncontrollable electricity utilization plan information, and allocating the output parameters and/or the load parameters of each real-time access device based on the optimal output parameters and/or the optimal load parameters.
6. The method according to claim 5, wherein the adapting the output parameter and/or the load parameter of each real-time access device based on the optimal output parameter and/or the optimal load parameter comprises:
judging whether each real-time access device in each resource group has operation risk or not based on the optimal output parameter and/or the optimal load parameter corresponding to each real-time access device in each resource group;
And if any real-time access equipment has operation risk, re-determining the allocation target based on the risk access equipment with operation risk and the preset condition, and re-determining the optimal output parameters and/or the optimal load parameters of each access equipment for allocation.
7. The method of claim 4, wherein the preset condition comprises one of a lowest operating cost of the target virtual power plant, a maximum profit of the target virtual power plant, and a highest operating efficiency of a load device of the target virtual power plant.
8. A resource allocation apparatus of a virtual power plant, the apparatus comprising:
the information determining module is used for determining access resource information of the target virtual power plant, wherein the access resource information comprises resource types and resource characteristics corresponding to a plurality of access resources;
the model building module is used for dividing a plurality of access resources into a plurality of resource groups according to resource types, and respectively building an aggregation characteristic model and a response characteristic model corresponding to each resource group based on the resource characteristics corresponding to each resource group;
and the resource allocation module is used for allocating the access resources in each resource group based on the aggregation characteristic model and the response characteristic model.
9. A storage medium having stored thereon a computer program, which when executed by a processor, implements the method of any of claims 1 to 7.
10. A computer device comprising a storage medium, a processor and a computer program stored on the storage medium and executable on the processor, characterized in that the processor implements the method of any one of claims 1 to 7 when executing the computer program.
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