CN-121984235-A - Multi-scene power resource aggregation and scheduling integrated system based on regional scope

CN121984235ACN 121984235 ACN121984235 ACN 121984235ACN-121984235-A

Abstract

The invention discloses a multi-scenario power resource aggregation scheduling integrated system based on a regional scope, and relates to the technical field of power scheduling. The system comprises a target area, a data uploading module, a scheme optimizing module and a scheme transmission module, wherein the target area is used for acquiring equipment data in the target area, acquiring target operation data of target equipment and uploading the target operation data to a cloud end, the scheme optimizing module is used for enabling the cloud end to receive the operation data and carrying out power resource scheduling optimization according to the operation data to obtain a target scheduling scheme, the scheme transmission module is used for encrypting the target scheduling scheme to obtain a final optimizing scheme and sending the final optimizing scheme to a user end so as to enable the user end to execute the final optimizing scheme. Through the regional adaptation algorithm, the standardized protocol and the full-flow safety protection, the problems of scheduling suitability, resource coordination, safety access and the like are solved, the resource utilization efficiency, the system stability and the scheduling flexibility are improved, and the regional requirements of a novel power system are adapted.

Inventors

XU CHAOFENG
HU CHANGSHI
GUO QIANKUN
LI ZHENHUA
ZHOU ZHIYUAN
ZHANG TIANQIANG

Assignees

安徽博诺思信息科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260119

Claims (8)

1. An integrated system for aggregating and scheduling multi-scenario power resources based on regional scope, the system comprising: the data uploading module is used for acquiring equipment data in a target area, acquiring target operation data of target equipment and uploading the target operation data to a cloud end, wherein the target equipment is any one of the equipment data; The scheme optimization module is used for enabling the cloud to receive the operation data, and carrying out power resource scheduling optimization according to each operation data to obtain a target scheduling scheme; And the scheme transmission module is used for encrypting the target scheduling scheme to obtain a final optimization scheme, and transmitting the final optimization scheme to the user side so that the user side executes the final optimization scheme.
2. The regional scope-based multi-scenario power resource aggregate scheduling integration system of claim 1, wherein the data upload module comprises: Constructing operation data to obtain multi-dimensional feature vectors, calculating Euclidean distance between a first multi-dimensional feature vector and each multi-dimensional feature vector, and if the Euclidean distance is smaller than a preset threshold value, combining the corresponding multi-dimensional feature vectors to obtain a first neighbor list, wherein the first multi-dimensional feature vector is any one of a plurality of multi-dimensional feature vectors; Acquiring a second neighbor list of a second multidimensional feature vector, traversing clusters in the second neighbor list, taking any cluster as a reverse cluster if the first multidimensional feature vector is contained in the cluster, and combining the reverse clusters to obtain a reverse neighbor list; Calculating the intersection number of the first neighbor list and the second neighbor list to obtain a shared neighbor list, and calculating the reciprocal of the sum of the clustering distances in the first multi-dimensional feature vector and the first neighbor list to obtain distance contribution; Calculating local density according to the reverse neighbor list, the shared neighbor list and the distance contribution, and taking the shortest Euclidean distance between a cluster with the local density larger than a density threshold and the first multidimensional feature vector as a relative distance; And taking the local density as a vertical axis and the relative distance as a horizontal axis to obtain a decision graph, and taking the multidimensional feature vector with higher density and higher relative distance in the decision graph as target operation data.
3. The regional scope-based multi-scenario power resource aggregate scheduling integration system of claim 1, wherein the solution optimization module comprises: the training data acquisition module is used for acquiring static basic data and external associated data, and carrying out data preprocessing on the static basic data and the external associated data to obtain intermediate static data and intermediate associated data, wherein the external associated data comprises historical load data, historical water conservancy data and historical meteorological data; the model parameter training module is used for inputting the intermediate static data and the intermediate association data into a long-period memory network model for training to obtain updated parameters, and updating the model parameters of the long-period memory network model according to the updated parameters to obtain a load prediction model; and the model performance verification module is used for inputting the target operation data into the load prediction model to obtain a prediction result.
4. The regional-scope-based multi-scenario power resource aggregate scheduling integrated system of claim 3, wherein historical water conservancy data in the external association data is collected at a preset collection frequency.
5. The regional-scope-based multi-scenario power resource aggregate scheduling integrated system of claim 3, wherein the load prediction model is used to predict the amount of power that can be generated by a future 24-hour-step hydropower station.
6. The regional-scope-based multi-scenario power resource aggregation scheduling integrated system according to claim 3, wherein the scheme optimization module optimizes the target operation data and the prediction result through a preset algorithm to obtain a target scheduling scheme.
7. The regional scope-based multi-scenario power resource aggregate scheduling integration system of claim 1, further comprising: The regional power resource census module is used for updating data of power supplies, power grids, loads and energy storage in the region according to a preset period; the regional scheduling plan module is used for acquiring a special scheduling plan aiming at scenes such as extreme weather, equipment faults, load sudden increases and the like in the region; and the emergency response module is used for starting a corresponding special scheduling plan in a preset time when the regional power grid is abnormal.
8. The regional scope-based multi-scenario power resource aggregate scheduling integration system of claim 1, further comprising: The identity authentication module is used for performing bidirectional identity authentication on the access equipment by adopting a national encryption algorithm SM 2; the data encryption transmission module is used for carrying out end-to-end encryption on transmission data by adopting SSL/TLS 1.3 protocol; the boundary protection module is used for deploying a regional special firewall and an intrusion detection system and intercepting illegal access and malicious attack.

Description

Multi-scene power resource aggregation and scheduling integrated system based on regional scope Technical Field The invention relates to the technical field of power dispatching, in particular to a multi-scenario power resource aggregation dispatching integrated system based on a regional scope. Background Along with the deep promotion of the construction of a novel power system, the diversified power resources such as distributed photovoltaics, wind power, small hydropower, energy storage equipment, controllable loads, V2G and the like are rapidly popularized in the area, the structure of the area power system is gradually complicated, and higher requirements are provided for the area suitability, the cooperativity and the safety of resource scheduling. CN121238702A discloses a power system resource scheduling method and device, when the natural climbing amount of a power system is not larger than the climbing demand amount of the power system, resource data of the power system are acquired, objective functions, system power balance constraint, transmission capacity constraint, energy storage charge-discharge constraint, energy storage energy balance constraint, climbing capacity constraint and climbing service demand constraint are built with the aim of minimizing the total running cost of the power system and maximizing the climbing service demand response, objective functions are solved under the constraints, the output of each thermal power unit and each energy storage system in each scheduling period is obtained, the climbing demand amount and the descending climbing demand amount of each flexible climbing price interval in each scheduling period are scheduled according to the solving result, and the power system resources are scheduled. The conventional regional power resource scheduling system has a plurality of outstanding problems, the general design does not fully consider the resource distribution characteristics, the industrial structure differences and the power grid operation characteristics of different regions, so that a scheduling strategy is disjointed from the actual requirements of the regions, the scheduling efficiency is low, meanwhile, the regional distributed photovoltaic, small hydroelectric power, controllable load, V2G and other multi-type power resources lack a unified aggregation regulation and control platform, and the distributed management mode ensures that the cooperative scheduling capability among the resources is weak, so that the global optimization of regional power supply and demand is difficult to realize. Disclosure of Invention The invention aims to solve the problems that 1. The general design does not fully consider the resource distribution characteristics, the industrial structure differences and the power grid operation characteristics of different areas, so that the scheduling strategy is disjointed with the actual demands of the areas and the scheduling efficiency is low; 2. The distributed photovoltaic, small hydropower, controllable load, V2G and other multi-type power resources in the region lack a unified aggregation regulation platform, and the distributed management mode enables the problem that the cooperative scheduling capability among the resources is weak and global optimization of regional power supply and demand is difficult to achieve, so that the multi-scenario power resource aggregation scheduling integrated system based on the region scope is provided. In one aspect of the present invention, a multi-scenario power resource aggregation scheduling integrated system based on regional scope is provided, the system comprising: the data uploading module is used for acquiring equipment data in a target area, acquiring target operation data of target equipment and uploading the target operation data to a cloud end, wherein the target equipment is any one of the equipment data; The scheme optimization module is used for enabling the cloud to receive the operation data, and carrying out power resource scheduling optimization according to each operation data to obtain a target scheduling scheme; And the scheme transmission module is used for encrypting the target scheduling scheme to obtain a final optimization scheme, and transmitting the final optimization scheme to the user side so that the user side executes the final optimization scheme. The problems of regional power dispatching adaptation and coordination are solved through data uploading, cloud optimal dispatching and encryption transmission closed loop, safety is guaranteed, and resource utilization efficiency and system operation stability are improved. Optionally, the data uploading module includes: Constructing operation data to obtain multi-dimensional feature vectors, calculating Euclidean distance between a first multi-dimensional feature vector and each multi-dimensional feature vector, and if the Euclidean distance is smaller than a preset threshold value, combining the corresponding m