CN-121984139-A - Configuration method, system, equipment and medium based on resource aggregation and networking requirements

Abstract

The invention discloses a configuration method, a system, equipment and a medium based on resource aggregation and networking requirements, which belong to the technical field of power distribution network node configuration, and comprise the steps of collecting power distribution network data and preprocessing to obtain correction data; the method comprises the steps of establishing a typical load curve according to correction data, extracting typical load characteristics according to the typical load curve, determining configuration demand information and resource callable information of a power distribution network according to the typical load characteristics, and selecting configuration nodes according to the configuration demand information and the resource callable information under the restriction of constraint conditions. The method solves the problems that the intelligent terminal configuration method of the distribution network in the prior art depends on empirical node selection or single data support, and the requirement and resource capacity suitability is poor due to the fact that a definite quantization rule is lacking in configuration requirement judgment, and in addition, the prior art mostly ignores the safety constraint of the power network or only considers the cost target, so that the operation potential safety hazard exists in the configuration scheme.

Inventors

• WANG ZHUOYUE
• MIAO YU
• LI YUE
• SHI TONG
• HE MINGJUN
• LIU ANJIANG
• HAO SHUQING
• YANG ZIJIAN
• LIU TIANYU
• PAN SONG
• ZHOU YIMING
• HE HONGYAN
• CAI YONGXIANG
• YOU XINYU
• DENG SONG
• LI QIANMIN
• LI XINHAO
• FAN KE
• ZHANG HENGRONG

Assignees

• 贵州电网有限责任公司

Dates

Publication Date

20260505

Application Date

20251225

Claims (10)

1. 1. The configuration method based on the resource aggregation and the networking requirement is characterized by comprising the following steps: Collecting power distribution network data and preprocessing the power distribution network data to obtain correction data; Establishing a typical load curve according to the correction data, and extracting typical load characteristics according to the typical load curve; Determining configuration demand information and resource callable information of the power distribution network according to the typical load characteristics; And under the restriction of constraint conditions, selecting configuration nodes according to the configuration requirement information and the resource callable information.
2. 2. The resource aggregation and networking requirement based configuration method according to claim 1, wherein the step of extracting the typical load characteristics comprises: based on the correction data, an active power load curve and a reactive power load curve are constructed; the representative load signature is extracted from the active power load profile and the reactive power load profile.
3. 3. The method for configuring resources based on resource aggregation and networking requirements according to claim 2, wherein the step of obtaining configuration requirement information and resource callable information comprises: Calculating the difference value between the maximum value of the load at each moment of the power distribution network and the maximum allowable load according to the correction data to obtain the load more amount at each moment; Recording the time duration and the maximum load limit of the time period by counting the time period when the value of the load limit is continuously larger than Q, wherein the time period duration and the maximum load limit form the configuration requirement information, and counting the time period from the node of which the value of the first load limit is larger than Q until the condition that the value of the load limit is not larger than Q occurs; and calculating the resource callable information of equipment in the power distribution network at different moments according to the adjustment lower limit of the flexible resource, the typical load characteristic and the time length of the time period.
4. 4. The resource aggregation and networking requirement based configuration method according to claim 3, wherein the constraint condition comprises: the intelligent terminal is configured with node voltage safety constraint, node regulation and control capability constraint, node transformer safety operation constraint and line capacity constraint.
5. 5. The method for configuring a network based on resource aggregation and networking requirements according to claim 4, wherein the step of selecting the configuration node comprises: The minimum configuration cost is taken as a target, and an optimization model is established by combining the configuration requirement information, the resource callable information and the constraint condition; solving the optimization model through a discrete decision particle swarm algorithm to obtain the configuration state of each node; And determining the configuration node according to the configuration state.
6. 6. The resource aggregation and networking requirement based configuration method according to claim 5, wherein the step of solving the optimization model by using a discrete decision particle swarm algorithm comprises: setting the configuration node as a position vector of the particle, and constructing the particle by combining the set speed vector; And under the constraint condition, updating the vector position of the particle to acquire the configuration state of each node.
7. 7. The method for configuring a network based on resource aggregation and networking requirements according to claim 6, wherein the step of collecting and preprocessing the power distribution network data to obtain the correction data comprises the steps of: Detecting empty data, error data and excess data in the power distribution network data to obtain a detection result; Judging the detection result through a detection rule, and marking the detection result which does not accord with the detection rule as abnormal data; and cleaning the data according to the detection result of the detection rule to obtain the correction data.
8. 8. The configuration system based on resource aggregation and networking requirements, applying the configuration method based on resource aggregation and networking requirements according to any one of claims 1 to 7, is characterized by comprising: the data acquisition and processing module acquires power distribution network data and performs preprocessing to acquire correction data; The load characteristic extraction module is used for establishing a typical load curve according to the correction data and extracting typical load characteristics according to the typical load curve; the resource allocation module is used for determining allocation demand information and resource callable information of the power distribution network according to the typical load characteristics; and the node selection module is used for selecting the configuration nodes according to the configuration requirement information and the resource callable information under the restriction of the constraint condition.
9. 9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the resource aggregation and networking requirement based configuration method according to any one of claims 1 to 7 when the computer program is executed.
10. 10. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program when executed by a processor realizes the steps of the resource aggregation and networking requirement based configuration method according to any one of claims 1 to 7.

Description

Configuration method, system, equipment and medium based on resource aggregation and networking requirements Technical Field The invention relates to the technical field of power distribution network node configuration, in particular to a configuration method, a system, equipment and a medium based on resource aggregation and networking requirements. Background With the wide application of renewable energy sources in large-scale grid connection and power electronic equipment, modern power distribution networks are rapidly developing towards the directions of alternating current-direct current mixing, high elasticity and intellectualization. The intelligent terminal is used as a core hub for connecting a secondary system of the power distribution network, and the cooperative configuration level of the intelligent terminal and secondary equipment directly determines the aggregation regulation and control capability of the power grid on flexible resources, so that the intelligent terminal has important significance in guaranteeing the power supply reliability and improving the operation economy. However, the existing intelligent terminal configuration methods have a plurality of technical bottlenecks: firstly, the traditional configuration scheme is mainly based on static load data and a single economic target to develop planning, is difficult to adapt to the change of the running characteristics of the power grid caused by bilateral random fluctuation of source load, is easy to cause the problems of voltage out-of-limit, regulation response lag and the like in a distributed energy high-permeability scene, and lacks systematic quantitative evaluation on the elasticity of the power grid. Secondly, the existing model is insufficient in consideration of actual operation constraint, and key boundary conditions such as regulation and control capability limitation of flexible resources, safety load rate of a transformer and line capacity are often ignored, so that an optimization result is disjointed with engineering actual demands. Meanwhile, the data quality is the basis of configuration optimization, but the historical operation data of the power distribution network often has the problems of abnormal values, missing values and the like, and the traditional method lacks a targeted data cleaning and feature extraction mechanism, cannot accurately capture typical load characteristics of flexible resources such as charging piles, energy storage, photovoltaics and the like, and directly influences the scientificity and effectiveness of a configuration scheme. Aiming at the problems, the invention provides a corresponding collaborative configuration method to realize the accurate adaptation of the intelligent terminal and a secondary system. Disclosure of Invention The present invention has been made in view of the above-described problems. Therefore, the technical problem solved by the invention is how to realize the regulation and control of the nodes of the power distribution network by a configuration method based on resource aggregation and networking requirements, and simultaneously ensure that the implementation of the scheme is carried out with the lowest cost under the specified constraint condition. The method comprises the following steps of collecting power distribution network data and preprocessing the power distribution network data to obtain correction data, establishing a typical load curve according to the correction data, extracting typical load characteristics according to the typical load curve, determining configuration demand information and resource callable information of the power distribution network according to the typical load characteristics, and selecting configuration nodes according to the configuration demand information and the resource callable information under the limitation of constraint conditions. The method for configuring the network based on the resource aggregation and the networking requirements comprises the steps of extracting typical load characteristics, constructing an active power load curve and a reactive power load curve based on the correction data, and extracting the typical load characteristics from the active power load curve and the reactive power load curve. The method has the beneficial effects that an active power and reactive power load curve is constructed according to the preprocessed correction data, interference of original data distortion on feature extraction is avoided, the load curve can truly reflect the operation characteristics of flexible resources, and typical load features are extracted through the cooperation of the two-dimensional load curve. The method comprises the steps of obtaining configuration demand information and resource callable information, calculating a difference value between a maximum value of load and a maximum allowable load of a power distribution network at each moment according to correction data to obtain a load excee