CN-122026384-A - Scheduling method, device, system, equipment and medium for distributed energy storage resources

CN122026384ACN 122026384 ACN122026384 ACN 122026384ACN-122026384-A

Abstract

The invention discloses a scheduling method, a device, a system, equipment and a medium of distributed energy storage resources, belonging to the field of resource scheduling; the method comprises the steps of establishing a classification hierarchical resource library of distributed energy storage resources by utilizing a plurality of real-time monitoring data and historical monitoring data, carrying out resource aggregation on the distributed energy storage resources according to the classification hierarchical resource library to obtain a plurality of resource aggregation groups, constructing an aggregation resource pool by adopting resource parameters of the resource aggregation groups, screening target aggregation groups meeting regional load demands from the aggregation resource pool, sending a scheduling offer request to a user, and carrying out scheduling processing on the distributed energy storage resources corresponding to the target aggregation groups after receiving scheduling confirmation information fed back by the user. The invention can accurately attach the actual demands of the power grid and the users, improves the resource screening precision, effectively stores the idle distributed energy storage resources at the user side, and greatly improves the resource utilization rate.

Inventors

ZHOU SHUCAN
CAO HUAZHEN
HUANG XIN
LI YIXIN
ZHENG MINJIA
DONG JIADU
YUE YUAN
HUANG XINYI

Assignees

广东电网有限责任公司

Dates

Publication Date: 20260512
Application Date: 20260212

Claims (10)

1. A method for scheduling distributed energy storage resources, the method comprising: Acquiring a plurality of real-time monitoring data, wherein each real-time monitoring data is data obtained by acquiring real-time operation data of a distributed energy storage resource idle by a user, and carrying out integrity and consistency verification and anomaly identification on the real-time operation data; Utilizing a plurality of real-time monitoring data and historical monitoring data to construct a classification and grading resource library of the distributed energy storage resources, wherein the classification and grading resource library is an information library constructed based on classification and grading results after classifying and grading the distributed energy storage resources; Performing resource aggregation on distributed energy storage resources according to the classified hierarchical resource library to obtain a plurality of resource aggregation groups, and constructing an aggregate resource pool by adopting resource parameters of the resource aggregation groups, wherein each resource aggregation group corresponds to one regulation and control scene; And screening a target aggregation group meeting the regional load requirement from the aggregation resource pool, sending a scheduling offer request to a user, and performing scheduling processing on the distributed energy storage resources corresponding to the target aggregation group after receiving scheduling confirmation information fed back by the user.
2. The method for scheduling distributed energy storage resources according to claim 1, wherein the obtaining a plurality of real-time monitoring data includes: Acquiring real-time operation data uploaded by a plurality of edge terminals, wherein the edge terminals are connected with distributed energy storage resources of users, and acquiring the real-time data of the distributed energy storage resources according to preset time intervals; sequentially carrying out integrity check, abnormal data identification and consistency check on each real-time operation data to obtain check operation data; And integrating the verification operation data into a structured real-time state library according to the ID of the distributed energy storage resource, and adding labels to the real-time state library to obtain real-time monitoring data.
3. The method for scheduling distributed energy storage resources according to claim 1, wherein said constructing a classified hierarchical resource library of distributed energy storage resources using a plurality of said real-time monitoring data and history monitoring data comprises: calling a preset classification model to classify the distributed energy storage resources according to the real-time monitoring data and the historical monitoring data to obtain classification information; Determining a reliability threshold value of the distributed energy storage resources according to the real-time monitoring data and the historical monitoring data, and grading the distributed energy storage resources according to the reliability threshold value to obtain grading information; And constructing a classified and graded resource library of the distributed energy storage resources by adopting the classified information, the real-time monitoring data and the historical monitoring data.
4. The method for scheduling distributed energy storage resources according to claim 3, wherein the performing resource aggregation on the distributed energy storage resources according to the classification and classification resource library to obtain a plurality of resource aggregation groups, and constructing an aggregate resource pool by adopting resource parameters of the resource aggregation groups includes: Performing resource aggregation on the distributed energy storage resources according to the regional information of the distributed energy storage resources and the classification information of the classification hierarchical resource library to obtain a plurality of resource aggregation groups; After traversing the distributed energy storage resources of each resource aggregation group and completing integrity verification, calculating resource parameters of the distributed energy storage resources of each resource aggregation group, wherein the resource parameters comprise total capacity, total power, redundant capacity and available capacity; Combining the resource parameters of each resource aggregation group and marking the regulation and control scene of each resource aggregation group to obtain an aggregation resource pool.
5. The method for scheduling distributed energy storage resources according to claim 1, wherein the step of screening the target aggregate group satisfying the regional load requirement from the aggregate resource pool and sending a scheduling offer request to a user, and performing scheduling processing on the distributed energy storage resources corresponding to the target aggregate group after receiving scheduling confirmation information fed back by the user, includes: receiving a power grid dispatching instruction, and calling an ARIMA algorithm according to the power grid dispatching instruction to determine regional load requirements; Screening a target aggregation group meeting the regional load demand from the aggregation resource pool based on the regional load demand and sending a scheduling offer request to a user, wherein the target aggregation group comprises at least one resource aggregation group; After receiving the scheduling confirmation information fed back by the user, sending a scheduling instruction to the edge terminal corresponding to the target aggregation group, so that the edge terminal controls the corresponding distributed energy storage resource to perform charging and discharging operations.
6. The method for scheduling distributed energy storage resources according to any one of claims 1 to 5, wherein after the step of screening a target aggregate group from the aggregate resource pool to meet a regional load requirement and sending a scheduling offer request to a user, and after receiving scheduling confirmation information fed back by the user, performing scheduling processing on the distributed energy storage resources corresponding to the target aggregate group, the method further comprises: Acquiring scheduling execution data, wherein the scheduling execution data is acquired by monitoring the real-time execution state of distributed energy storage resources in scheduling processing; And if the scheduling execution data is determined to contain abnormal data, generating a scheduling execution report by adopting the abnormal data, and archiving the scheduling execution report to a local encryption database.
7. A scheduling apparatus for distributed energy storage resources, the apparatus comprising: The system comprises an acquisition module, a storage module and a storage module, wherein the acquisition module is used for acquiring a plurality of real-time monitoring data, wherein each real-time monitoring data is data obtained by acquiring real-time operation data of a distributed energy storage resource idle by a user, and carrying out integrity and consistency verification and anomaly identification on the real-time operation data; the resource library constructing module is used for constructing a classified and graded resource library of the distributed energy storage resources by utilizing the real-time monitoring data and the historical monitoring data, wherein the classified and graded resource library is an information library constructed based on the classified and graded results after classifying and grading the distributed energy storage resources; a resource pool module is constructed and used for carrying out resource aggregation on the distributed energy storage resources according to the classified hierarchical resource library to obtain a plurality of resource aggregation groups, and resource parameters of the resource aggregation groups are adopted to construct an aggregate resource pool, wherein each resource aggregation group corresponds to one regulation and control scene; And the scheduling module is used for screening a target aggregation group meeting the regional load requirement from the aggregation resource pool, sending a scheduling offer request to a user, and scheduling the distributed energy storage resources corresponding to the target aggregation group after receiving scheduling confirmation information fed back by the user.
8. The dispatching system of the distributed energy storage resources is characterized by comprising a cloud energy storage platform and a plurality of edge terminals, wherein each edge terminal is connected with a plurality of distributed energy storage devices of a user, and the cloud energy storage platform is respectively connected with the plurality of edge terminals; The cloud energy storage platform performs the method for scheduling distributed energy storage resources according to any one of claims 1-6.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of scheduling distributed energy storage resources as claimed in any one of claims 1-6 when executing the program.
10. A computer readable storage medium storing computer executable instructions for causing a computer to perform the method of scheduling distributed energy storage resources of any one of claims 1-6.

Description

Scheduling method, device, system, equipment and medium for distributed energy storage resources Technical Field The present invention relates to the field of resource scheduling technologies, and in particular, to a method, an apparatus, a system, a device, and a medium for scheduling distributed energy storage resources. Background Along with the improvement of the permeability of new energy and the diversified development of the energy consumption requirement of a user side, the scale of the distributed energy storage resources of the user side such as a household energy storage battery, an industrial and commercial standby energy storage cabinet, a park idle energy storage system and the like is rapidly increased, so that the distributed energy storage system is not only a key support for stabilizing regional load fluctuation and improving the flexibility of a power grid, but also a core link for promoting the consumption of the distributed energy and realizing the collaborative development of 'source network load storage'. In the use process, a large amount of user side energy storage is in an idle state for a long time, so that resource waste is caused. In order to save idle energy storage resources, one common method is a method of classifying resources based on capacity or power, screening basic resources by dividing a fixed capacity interval (for example, a large capacity energy storage of more than 10kWh and a small capacity energy storage of less than 5 kWh) or a power level to determine available idle resources, and then scheduling the idle resources obtained by screening to perform charge and discharge treatment. However, the method has the following technical problems that the resource classification and screening are carried out based on a single dimension (quantity or power), so that not only is different power scheduling scenes difficult to adapt, but also the user often needs to use the screened idle resources due to different reasons, and further, the re-matching and scheduling are needed. Therefore, the existing mode is low in matching and screening precision, and cannot meet the diversified requirements of a power grid and users. Disclosure of Invention The invention provides a scheduling method, a scheduling device, a scheduling system, scheduling equipment and scheduling media for distributed energy storage resources, which can solve the technical problems that the screening of idle resources in the prior art is low in precision and the application requirements are difficult to meet. A first aspect of an embodiment of the present invention provides a method for scheduling distributed energy storage resources, where the method includes: Acquiring a plurality of real-time monitoring data, wherein each real-time monitoring data is data obtained by acquiring real-time operation data of a distributed energy storage resource idle by a user, and carrying out integrity and consistency verification and anomaly identification on the real-time operation data; Utilizing a plurality of real-time monitoring data and historical monitoring data to construct a classification and grading resource library of the distributed energy storage resources, wherein the classification and grading resource library is an information library constructed based on classification and grading results after classifying and grading the distributed energy storage resources; Performing resource aggregation on distributed energy storage resources according to the classified hierarchical resource library to obtain a plurality of resource aggregation groups, and constructing an aggregate resource pool by adopting resource parameters of the resource aggregation groups, wherein each resource aggregation group corresponds to one regulation and control scene; And screening a target aggregation group meeting the regional load requirement from the aggregation resource pool, sending a scheduling offer request to a user, and performing scheduling processing on the distributed energy storage resources corresponding to the target aggregation group after receiving scheduling confirmation information fed back by the user. According to the invention, the resource pool containing different regulation and control scenes can be constructed by utilizing the real-time monitoring data of the distributed energy storage resources, the aggregation group meeting the requirements is screened from the resource pool for regulation and control, the screening precision is improved and the utilization rate of the idle distributed energy storage resources is improved on the basis of fitting the power grid and the actual requirements of users. With reference to the first aspect, in one implementation manner, the acquiring a plurality of real-time monitoring data includes: Acquiring real-time operation data uploaded by a plurality of edge terminals, wherein the edge terminals are connected with distributed energy storage resources of users, and acquiring th