CN-122026429-A - Dynamic resource regulation and control method and system for multiple services of power distribution network

Abstract

The invention relates to the technical field of intelligent power distribution network dispatching operation, and discloses a dynamic resource regulation and control method and a system for multiple services of a power distribution network, wherein the method comprises the steps of dividing loads into a stable load group and a plurality of fluctuation load groups based on real-time power consumption data; the method comprises the steps of predicting future electricity demand of a fluctuation type load group, dynamically distributing priority according to a prediction result, wherein the load group with the prediction value exceeding a threshold value is given high priority, generating an initial capacity distribution queue according to the priority, finally monitoring the load state of the high-priority fluctuation type load group in real time in the process of executing the queue, and triggering dynamic adjustment of distribution capacity distribution immediately once the load fluctuation increase is detected, so that the utilization efficiency and the power supply reliability of distribution capacity resources are effectively improved in a multi-service scene.

Inventors

• YAO WEI
• SUN CHANGWEN
• WU MINGFENG
• WU XIAOJUN
• ZHANG GUANGWEI
• HE DAN
• ZHU YING
• ZHANG YING
• SHEN DONGMING
• WU MING
• XU BINGYAN
• GUO LEI
• ZHAO YINGYING
• GAO SONGYAO

Assignees

• 国网山西省电力有限公司太原供电分公司
• 国网山西省电力有限公司电力科学研究院
• 国网上海市电力公司金山供电公司
• 华东电力试验研究院有限公司

Dates

Publication Date

20260512

Application Date

20260407

Claims (10)

1. 1. The dynamic resource regulation and control method for the multi-service of the power distribution network is characterized by comprising the following steps: Acquiring real-time electricity utilization data under a multi-service scene of a power distribution network, and carrying out load grouping on the multi-service scene according to the real-time electricity utilization data to obtain a stable load group and a plurality of fluctuation type load groups; Predicting the electricity demand of the fluctuation type load group in a future period to obtain an electricity demand predicted value; The power consumption demand predicted value is used for assigning priorities to the fluctuation type load groups, and an initial capacity power distribution queue is obtained according to the priorities; and monitoring the load of a high-priority fluctuation type load group when the initial capacity distribution queue is executed, and adjusting distribution capacity distribution when the load fluctuation of the high-priority fluctuation type load group is increased.
2. 2. The method for dynamic resource regulation of multiple services in a power distribution network according to claim 1, wherein obtaining an initial capacity distribution queue according to the priority comprises: acquiring a distribution total capacity, wherein the distribution total capacity comprises a main network side injection capacity, a distributed power supply capacity and a flexible load capacity; Distributing a first capacity that meets the load demand of the stable load group; Obtaining a second capacity, and distributing the second capacity to the plurality of fluctuation type load groups according to the order of the priority from high to low to obtain the initial capacity distribution queue; Wherein the sum of the first capacity and the second capacity is the total power distribution capacity.
3. 3. The method for dynamic resource adjustment and control for multiple services of a power distribution network according to claim 2, wherein when the second capacity is allocated to the plurality of fluctuating load groups, further comprising obtaining an allocation coefficient, determining a power distribution capacity according to the allocation coefficient, and allocating the second capacity according to the power distribution capacity, wherein obtaining the allocation coefficient comprises: Establishing a collaborative optimization model with the aim of minimizing the total cost of system operation in a resource regulation period, wherein the total cost of operation comprises the cost of purchasing electricity to a main network and the punishment cost of not meeting the priority of a fluctuation type load group; setting constraint conditions, wherein the constraint conditions comprise system power balance constraint, capacity safety constraint of a distribution line and operation constraint of priority; and carrying out rolling solution on the collaborative optimization model under the constraint condition to obtain the distribution coefficient.
4. 4. The method for multi-service dynamic resource regulation of a power distribution network according to claim 1, wherein the load fluctuation increase comprises that the instantaneous deviation of real-time active power of the high-priority fluctuation type load group relative to the reference power exceeds a dynamic threshold and the power change rate exceeds a rate threshold, wherein the dynamic threshold is positively correlated with the historical power fluctuation standard deviation of the high-priority fluctuation type load group.
5. 5. The method for dynamic resource regulation of multiple services in a power distribution network according to claim 1 or 4, wherein when load fluctuation increases in the high-priority fluctuating load group, adjusting distribution capacity allocation includes at least one of: Reducing the power supply of the low-priority wave load group; Discharging, by a distributed energy storage device, the high priority fluctuating load group where load fluctuation increases; After obtaining the user side response, the power supply of the target user side is interrupted.
6. 6. The method for dynamic resource regulation of multiple services in a power distribution network according to claim 5, wherein invoking a distributed energy storage device to discharge to the high priority fluctuating load group where load fluctuation increases comprises: Determining a target node according to the access position of the high-priority fluctuation load group; screening available distributed energy storage devices according to the target node to form a candidate set; Calculating equivalent impedance between the access node of each distributed energy storage device in the candidate set and the target node; sorting the candidate sets according to the equivalent impedance to generate a calling sequence; and discharging the high-priority fluctuation load group with the increased load fluctuation according to the calling sequence.
7. 7. The method for dynamic resource regulation and control of multiple services of a power distribution network according to claim 1, wherein the grouping of the multiple service scenarios according to the real-time electricity consumption data comprises calculating a fluctuation rate and a peak Gu Chalv of each load point, and dividing the loads with the fluctuation rate less than 10% and the peak Gu Chalv less than 30% into stable load groups.
8. 8. The method for dynamic resource regulation of multiple services in a power distribution network according to claim 7, wherein load-grouping the multiple service scenarios according to the real-time electricity usage data further comprises: performing time sequence decomposition on the real-time electricity utilization data, and extracting a steady-state base load component and a fluctuation disturbance component; establishing a multidimensional feature vector according to the steady-state base load component and the fluctuation disturbance component, wherein the multidimensional feature vector comprises a load fluctuation rate, a frequency domain feature, a daily peak-valley difference and a load change gradient; and calculating the multidimensional feature vector according to a clustering algorithm, and grouping loads according to the similarity of calculation results.
9. 9. The method for dynamic resource adjustment and control of multiple services in a power distribution network according to claim 1, wherein dynamically assigning priorities to the fluctuating load groups according to the prediction results comprises: for each fluctuation type load group, acquiring a real-time load rate and a load rate safety upper limit value of a distribution line to which the fluctuation type load group is connected, and a power consumption demand predicted value and a service value weight of the fluctuation type load group in a future period T; calculating the ratio of the predicted value of the electricity demand to the capacity threshold value to obtain a load demand deviation factor; calculating a priority grade according to the safety margin factor, the load demand deviation factor and the business value weight; And sequencing the plurality of fluctuation type load groups according to the priority scores to obtain the priority.
10. 10. A dynamic resource regulation system for multiple services in a power distribution network, comprising: The load grouping module is used for grouping loads of the multi-service scene according to real-time electricity consumption data of the power distribution network under the multi-service scene to obtain a stable load group and a plurality of fluctuation type load groups; the electricity consumption demand prediction module predicts the electricity consumption demand of the fluctuation type load group in a future period to obtain an electricity consumption demand predicted value; The capacity distribution queue generating module is used for distributing priorities to the fluctuation type load groups according to the electricity demand predicted values and obtaining initial capacity distribution queues according to the priorities, wherein the fluctuation type load groups with the electricity demand predicted values exceeding a threshold value are given high priorities; And the resource regulation and control module is used for monitoring the load of the high-priority fluctuation type load group when the initial capacity distribution queue is executed, and regulating distribution capacity distribution when the load fluctuation of the high-priority fluctuation type load group is increased.

Description

Dynamic resource regulation and control method and system for multiple services of power distribution network Technical Field The invention relates to the technical field of intelligent power distribution network dispatching operation, in particular to a dynamic resource regulation and control method and system for multiple services of a power distribution network. Background The distribution network is used as a key link of electric energy distribution, and is faced with a serious challenge brought by the large-scale access of fluctuation loads such as electric automobile charging piles, intermittent distributed energy sources and the like, and the randomness and intermittent power injection and extraction of the loads lead to the obvious difference between the distribution network tide distribution and the traditional scene. In the aspect of resource allocation decision, the dynamic optimization capability matched with load time-varying characteristics is lacking, so that the power flow distribution is not optimal and the operation index is deteriorated, and the method is particularly characterized in that static allocation can continuously and preferentially guarantee a load with a certain electric distance but high priority, so that power is transmitted along a high-impedance path for a long time, unnecessary active power loss is caused, and an operation mode cannot be pre-adjusted according to future load distribution, so that the voltage deviation of the tail end of a distribution line easily exceeds an allowable range in the peak of load, and the equipment insulation is threatened due to the fact that the voltage is too high in the light load. In the execution control layer, when the high-priority load generates far-over-predicted transient power jump (such as electric vehicle charging station is charged quickly at the same time), the system cannot quickly supplement power deficiency, so that voltage dip of an access point is easily caused, and normal operation of other sensitive loads on the same bus is influenced. And because of the lack of feedback correction, a large error exists between the actual electricity utilization curve and the planned distribution curve of the load, and the steady-state error leads to the falling of the regulation and control target, so that the accurate on-demand distribution of capacity resources can not be realized. Disclosure of Invention Therefore, the invention aims to overcome the problem of how to effectively allocate capacity resources in a multi-service scene in the prior art, and provides a dynamic resource regulation and control method and a system for power distribution network multi-service, which can effectively improve the utilization efficiency and the power supply reliability of the power distribution capacity resources in the multi-service scene. In order to solve the above technical problems, the present invention provides a method for dynamic resource adjustment and control of multiple services in a power distribution network, including: Acquiring real-time electricity utilization data under a multi-service scene of a power distribution network, and carrying out load grouping on the multi-service scene according to the real-time electricity utilization data to obtain a stable load group and a plurality of fluctuation type load groups; Predicting the electricity demand of the fluctuation type load group in a future period to obtain an electricity demand predicted value; The power consumption demand predicted value is used for assigning priorities to the fluctuation type load groups, and an initial capacity power distribution queue is obtained according to the priorities; and monitoring the load of a high-priority fluctuation type load group when the initial capacity distribution queue is executed, and adjusting distribution capacity distribution when the load fluctuation of the high-priority fluctuation type load group is increased. The method comprises the steps of obtaining an initial capacity distribution queue according to the priority, wherein the initial capacity distribution queue comprises a main network side injection capacity, a distributed power supply capacity and a flexible load capacity, distributing a first capacity meeting the load requirement of the stable load group, obtaining a second capacity, distributing the second capacity to the plurality of fluctuation load groups according to the priority from high to low, and obtaining the initial capacity distribution queue, wherein the sum of the first capacity and the second capacity is the distribution total capacity. The method comprises the steps of obtaining a distribution coefficient, determining a distribution capacity according to the distribution coefficient, and distributing the second capacity according to the distribution capacity, wherein obtaining the distribution coefficient comprises the steps of building a collaborative optimization model with the aim of minimizing total c