A distributed resource management and control decision method, system, device and medium

By classifying and managing distributed resources within the distribution substation area, the problems of long response time and poor control effect of power quality issues have been solved. Flexible and rapid adjustment of voltage over-limit and harmonic distortion has been achieved, thereby improving the power quality of the power system.

CN119602223BActive Publication Date: 2026-01-23ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY +1
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Patent Information

Application Number
CN202411624366.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-11-14
Publication Date
2026-01-23
Estimated Expiration
2044-11-14

AI Technical Summary

Technical Problem

The existing power quality issues in distribution substations have long decision-making response times and poor control effects, making it difficult to coordinate the operation of different types of distributed resources. This leads to problems such as voltage exceeding limits and harmonic exceedances, affecting the development of the power system.

Method used

By classifying distributed resources within the distribution area and combining voltage and harmonic data, targeted control decisions are formulated, including control criteria for voltage overruns, harmonic distortion, and complex power quality issues, enabling flexible and rapid adjustment of distributed resources.

Benefits of technology

It enables flexible and rapid management and control of different power quality issues, fully taps the regulation potential of distributed resources, improves the response speed and control effect of power quality, and ensures the efficient operation of the power distribution system.

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Abstract

The application belongs to the field of power distribution network operation management and control, and discloses a distributed resource management and control decision method, system, device and medium. The method comprises the following steps: classifying various types of distributed resources in a distribution network; determining a distributed resource access management and control task based on a distributed resource access management and control target criterion; determining a voltage out-of-limit problem distributed resource access management and control decision based on a distributed resource access management and control criterion under a voltage out-of-limit problem; determining a harmonic distortion problem distributed resource access management and control decision based on a distributed resource access management and control criterion under a harmonic distortion problem; and determining a composite power quality problem distributed resource access management and control execution decision based on a distributed resource access management and control criterion under a composite power quality problem. The application realizes flexible and rapid management and control of complex demands of different power quality problems.
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Description

TECHNICAL FIELD

[0001] The present application relates to the field of power distribution network operation management and control, in particular to a distributed resource management and control decision method, system, device and medium. BACKGROUND

[0002] With the rapid development of source-load-storage multi-type flexible resources such as photovoltaic, energy storage, and flexible load in the power distribution system, large-scale distributed resources are widely accessed in the power distribution area. However, distributed photovoltaic output and load power consumption have random characteristics, which can easily cause a large fluctuation in the voltage of the power distribution area and cause voltage out-of-limit problems. At the same time, large-scale distributed resources need to be accessed in the power distribution area by relying on power electronic devices, which will generate a large amount of harmonics during operation and cause the risk of harmonic overlimit. The current power distribution area has various types of distributed resources, large scale, and outstanding power quality problems, and it is urgent to manage and control multi-type power quality problems. Since photovoltaic, energy storage, and flexible load have flexible and controllable characteristics, the access management and control of the above distributed resources make it possible to improve the power quality of the power distribution area.

[0003] The existing dispatching and control mode of the power distribution area is still relatively traditional, and the management and control decision scheme of different types of equipment mainly relies on field experience to carry out and implement, lacking targeted guidance for different types of power quality problems. At present, for the power quality problems of the power distribution area, the main solution is to adopt a single problem unified solution, which cannot consider the possibility of direct coordination and processing of different types of problems in the case of voltage out-of-limit and harmonic overlimit problems, not only causing waste of adjustment resources, but also causing difficulties in coordinated operation of different types of distributed resources and synchronous treatment of multi-type power quality problems. With the construction of new power systems, the demand for high-quality power supply in the power distribution area is increasing, but due to the single power quality problem control measure, it is difficult to tap the adjustment potential of large-scale distributed resources, which will cause long response time of power quality problem decision and poor control effect, etc. seriously restricting the development and construction of new power systems.

[0004] Therefore, how to provide a distributed resource management and control decision method, system, device and medium is a problem to be solved at present. SUMMARY

[0005] The embodiments of the present application provide a distributed resource management and control decision method, system, device and medium to solve the problem of long response time of power quality problem decision and poor control effect in the prior art.

[0006] To provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended as a general commentary, nor is it intended to identify key / important components or to describe the scope of protection of these embodiments. Its sole purpose is to present some concepts in a simple form as a prelude to the detailed description that follows.

[0007] According to a first aspect of the present invention, a distributed resource management and control decision-making method is provided.

[0008] In one embodiment, the distributed resource management and control decision-making method includes:

[0009] Based on the information on the types of distributed resources connected to the grid within the distribution transformer area, the various types of distributed resources in the distribution network are classified; based on the voltage data information of each frequency at the grid connection point of the distribution transformer area, and combined with the criteria for distributed resource access control objectives, the distributed resource access control tasks are determined.

[0010] Based on the voltage limit violation information and corresponding control tasks of the distribution transformer area grid connection point, and in accordance with the distributed resource access control criteria under the voltage limit violation problem, the distributed resource access control decision for the voltage limit violation problem is determined.

[0011] Based on the information on harmonic distortion problems at the grid connection points of the distribution network area and the corresponding control tasks, and in conjunction with the control criteria for distributed resource access under harmonic distortion problems, the control decision for distributed resource access under harmonic distortion problems is determined.

[0012] Based on the information on voltage over-limit and harmonic distortion issues at the grid connection points of the distribution network area and the corresponding control tasks, and in accordance with the control criteria for distributed resource access under complex power quality issues, the execution decision for distributed resource access control under complex power quality issues is determined.

[0013] In one embodiment, the categories of distributed resources in the distribution network include distributed photovoltaic resources, energy storage resources, disconnectable power electronic load resources, non-disconnectable power electronic load resources, disconnectable ordinary load resources, and non-disconnectable ordinary load resources.

[0014] In one embodiment, the expression for the distributed resource access control objective criterion is:

[0015]

[0016] In the formula: k i K1 represents the power quality control task for distribution substation i at grid connection point; K2 represents the single control task for voltage exceeding the upper limit; K3 represents the single control task for voltage exceeding the lower limit; K4 represents the combined control task for voltage exceeding the lower limit and harmonic distortion; K5 represents the single control task for harmonic distortion; K6 represents that this distribution substation currently does not require power quality control.i V represents the voltage amplitude at grid connection point i in the distribution substation area; max This refers to the maximum voltage amplitude limit in the distribution network; V min The minimum voltage amplitude limit in the distribution network; THD V,i Total harmonic distortion of voltage at grid connection point i in the distribution area; The maximum limit of total harmonic distortion of voltage at grid connection point i in the distribution area.

[0017] In one embodiment, the distributed resource access control task includes a single control task for voltage exceeding the upper limit, a combined control task for voltage exceeding the upper limit and harmonic distortion exceeding the upper limit, a single control task for voltage exceeding the lower limit, a combined control task for voltage exceeding the lower limit and harmonic distortion exceeding the lower limit, and a single control task for harmonic distortion exceeding the lower limit.

[0018] In one embodiment, when the control task is a single control task for voltage exceeding the upper limit and a single control task for voltage exceeding the lower limit, a distributed resource access control decision for voltage exceeding the limit is determined.

[0019] When the control task is a single control task for harmonic distortion exceeding the limit, determine the control decision for distributed resource access to harmonic distortion problems.

[0020] When the control task is a combined control task of voltage exceeding the upper limit and harmonic distortion exceeding the limit, and a combined control task of voltage exceeding the lower limit and harmonic distortion exceeding the limit, the distributed resource access control execution decision for the combined power quality problem is determined.

[0021] In one embodiment, the step of determining the distributed resource access control decision for harmonic distortion problems based on the harmonic distortion problem information and corresponding control tasks at the grid connection points of the distribution network area, combined with the distributed resource access control criteria under the harmonic distortion problem, includes:

[0022] Based on the power data collected from the grid connection points of the distribution network area, the non-base frequency power flow direction of the grid connection points of the distribution network area is judged and its classification is determined;

[0023] Based on the classification of non-base frequency power flow direction matching corresponding control tasks, and by conducting decision analysis on energy storage resources and power electronic load resources respectively, the distributed resource access control decision for harmonic distortion problem is determined.

[0024] In one embodiment, the classification expression for the non-fundamental frequency power flow is:

[0025]

[0026] In the formula, d i D1 represents the flow of non-baseband power from distributed resources to the distribution network at grid connection point i in the distribution substation area; D2 represents the flow of non-baseband power from the distribution network to distributed resources at grid connection point i in the distribution substation area; Pi N The non-base frequency power flowing from distribution substation connection point i to the distribution network.

[0027] According to a second aspect of the present invention, a distributed resource management and control decision system is provided.

[0028] In one embodiment, the distributed resource management and decision-making system includes:

[0029] The distributed resource management and control task determination module is used to classify various types of distributed resources in the distribution network according to the type information of grid-connected distributed resources in the distribution transformer area; and to determine the distributed resource access management and control task based on the frequency voltage data information of the grid connection point of the distribution transformer area and the distributed resource access management and control target criteria.

[0030] The voltage limit violation management module is used to determine the distributed resource access management decision for voltage limit violation issues based on the voltage limit violation information and corresponding management tasks of the distribution transformer area's grid connection point, and in accordance with the distributed resource access management criteria under the voltage limit violation issue.

[0031] The harmonic distortion problem control module is used to determine the distributed resource access control decision for harmonic distortion problems based on the harmonic distortion problem information and corresponding control tasks of the distribution network area grid connection point, combined with the distributed resource access control criteria under the harmonic distortion problem.

[0032] The composite power quality problem management module is used to determine the execution decision of distributed resource access management for composite power quality problems based on the voltage over-limit and harmonic distortion problem information and corresponding management tasks of the distribution network area grid connection point, and according to the distributed resource access management criteria under composite power quality problems.

[0033] In one embodiment, the categories of distributed resources in the distribution network include distributed photovoltaic resources, energy storage resources, disconnectable power electronic load resources, non-disconnectable power electronic load resources, disconnectable ordinary load resources, and non-disconnectable ordinary load resources.

[0034] In one embodiment, the expression for the distributed resource access control objective criterion is:

[0035]

[0036] In the formula: k i K1 represents the power quality control task for distribution substation i at grid connection point; K2 represents the single control task for voltage exceeding the upper limit; K3 represents the single control task for voltage exceeding the lower limit; K4 represents the combined control task for voltage exceeding the lower limit and harmonic distortion; K5 represents the single control task for harmonic distortion; K6 represents that this distribution substation currently does not require power quality control.i V represents the voltage amplitude at grid connection point i in the distribution substation area; max This refers to the maximum voltage amplitude limit in the distribution network; V min The minimum voltage amplitude limit in the distribution network; THD V,i Total harmonic distortion of voltage at grid connection point i in the distribution area; The maximum limit of total harmonic distortion of voltage at grid connection point i in the distribution area.

[0037] In one embodiment, the distributed resource access control task includes a single control task for voltage exceeding the upper limit, a combined control task for voltage exceeding the upper limit and harmonic distortion exceeding the upper limit, a single control task for voltage exceeding the lower limit, a combined control task for voltage exceeding the lower limit and harmonic distortion exceeding the lower limit, and a single control task for harmonic distortion exceeding the lower limit.

[0038] In one embodiment, when the control task is a single control task for voltage exceeding the upper limit and a single control task for voltage exceeding the lower limit, a distributed resource access control decision for voltage exceeding the limit is determined.

[0039] When the control task is a single control task for harmonic distortion exceeding the limit, determine the control decision for distributed resource access to harmonic distortion problems.

[0040] When the control task is a combined control task of voltage exceeding the upper limit and harmonic distortion exceeding the limit, and a combined control task of voltage exceeding the lower limit and harmonic distortion exceeding the limit, the distributed resource access control execution decision for the combined power quality problem is determined.

[0041] In one embodiment, when the harmonic distortion problem control module determines the distributed resource access control decision for harmonic distortion problems based on the harmonic distortion problem information and corresponding control tasks of the distribution network area grid connection points, combined with the distributed resource access control criteria under harmonic distortion problems, the module judges and classifies the non-base frequency power flow of the distribution network area grid connection points based on the power data information collected from the distribution network area grid connection points; matches the corresponding control tasks based on the classified non-base frequency power flow, and performs decision analysis on energy storage resources and power electronic load resources respectively to determine the distributed resource access control decision for harmonic distortion problems.

[0042] In one embodiment, the classification expression for the non-fundamental frequency power flow is:

[0043]

[0044] In the formula, d i D1 represents the flow of non-baseband power from distributed resources to the distribution network at grid connection point i in the distribution substation area; D2 represents the flow of non-baseband power from the distribution network to distributed resources at grid connection point i in the distribution substation area; P i NThe non-base frequency power flowing from distribution substation connection point i to the distribution network.

[0045] According to a third aspect of the present invention, a computer device is provided.

[0046] In one embodiment, the computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the method described above.

[0047] According to a fourth aspect of the present invention, a computer-readable storage medium is provided.

[0048] In one embodiment, a computer program is stored on the computer-readable storage medium, which, when executed by a processor, implements the steps of the above method.

[0049] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects:

[0050] (1) This invention establishes a distributed resource management and control system for different types of power quality problems. In response to the problem of reduced power quality level of power distribution system under large-scale access of distributed resources, it comprehensively considers the differentiated characteristics of voltage over-limit, harmonic over-limit and their compound problems, and realizes flexible and rapid management and control of complex needs of different power quality problems.

[0051] (2) This invention is geared towards the large-scale development trend of photovoltaic, energy storage and flexible load in distribution substations. By finely distinguishing the controllability and adjustability of different types of resources such as photovoltaic, energy storage and load, it fully explores the adjustment potential of large-scale, multi-type and distributed resources, and maximizes the utilization of distributed resources while ensuring the qualified power quality of distribution substations.

[0052] (3) By setting target criteria for different power quality problems, combining the improvement capabilities of different distributed resources for multiple types of power quality problems, this invention efficiently and flexibly allocates the adjustment capabilities of distributed resources, effectively ensuring the self-operation capabilities and efficiency of resources such as photovoltaics and energy storage, and at the same time realizing targeted and precise control of power quality problems in the power distribution system.

[0053] (4) This invention proposes a management and control decision-making method for different forms of distributed resources and different types of power quality problems in distribution substations. Through comprehensive analysis and evaluation of power quality problems, the management and control tasks of multiple types of distributed resources are clarified. The current operating status of the distribution substation is determined in a timely manner through monitoring data information of the distribution substation, and the management and control tasks are adjusted in real time. This realizes dynamic response and efficient control of complex power quality problems in the distribution system, and solves the problem that different types of distributed resources are difficult to coordinate and operate, and multiple types of power quality problems cannot be managed simultaneously during the process of power quality improvement in the distribution system. The method proposed in this invention has a wide range of applications and can be applied to the power system field to improve the efficiency and scientific nature of orderly access and scheduling decisions of massive distributed resources in distribution substations in the power system.

[0054] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the invention. Attached Figure Description

[0055] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0056] Figure 1 This is a flowchart illustrating a distributed resource management and control decision-making method according to an exemplary embodiment;

[0057] Figure 2 This is a structural block diagram of a distributed resource management and control decision system according to an exemplary embodiment;

[0058] Figure 3 This is a schematic diagram of the structure of a computer device according to an exemplary embodiment;

[0059] Figure 4 This is a schematic diagram illustrating the principle of a distributed resource management and control decision-making method according to an exemplary embodiment;

[0060] Figure 5 This is a schematic diagram illustrating the distributed resource access control target criterion in a distributed resource control decision-making method according to an exemplary embodiment;

[0061] Figure 6 This is a schematic diagram illustrating the priority of distributed resource management in a distributed resource management decision-making method for the problem of voltage exceeding the upper limit, according to an exemplary embodiment.

[0062] Figure 7 This is a schematic diagram illustrating the voltage lower limit problem and distributed resource management priority in a distributed resource management decision-making method according to an exemplary embodiment.

[0063] Figure 8This is a schematic diagram illustrating the harmonic distortion problem in a distributed resource management decision-making method according to an exemplary embodiment, and prioritizing distributed resource management. Detailed Implementation

[0064] The following description and accompanying drawings fully illustrate specific embodiments described herein to enable those skilled in the art to practice them. Some embodiments may include or substitute parts and features of other embodiments. The scope of the embodiments herein encompasses the entire scope of the claims and all available equivalents thereof. Throughout this document, the terms “first,” “second,” etc., are used only to distinguish one element from another without requiring or implying any actual relationship or order between the elements. Indeed, a first element can also be referred to as a second element, and vice versa. Furthermore, the terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, such that a structure, apparatus, or device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a structure, apparatus, or device. Without further limitation, an element defined by the phrase “comprising one…” does not exclude the presence of other identical elements in the structure, apparatus, or device that includes said element. The various embodiments described herein are presented in a progressive manner, with each embodiment focusing on its differences from other embodiments; similar or identical parts between embodiments can be referred to interchangeably.

[0065] The terms "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer" used in this document to indicate orientations or positional relationships are based on the orientations or positional relationships shown in the accompanying drawings. They are used solely for the convenience of describing the document and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. In the description herein, unless otherwise specified and limited, the terms "installed," "connected," and "linked" should be interpreted broadly. For example, they can refer to mechanical or electrical connections, or internal connections between two elements; they can be direct connections or indirect connections through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms according to the specific circumstances.

[0066] In this document, unless otherwise stated, the term "multiple" means two or more.

[0067] In this article, the character " / " indicates that the objects before and after it are in an "or" relationship. For example, A / B means: A or B.

[0068] In this article, the term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.

[0069] It should be understood that although the steps in the flowchart are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order constraint on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the diagram may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0070] The modules in the apparatus or system of this application can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0071] Where there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0072] Figure 1 An embodiment of a distributed resource management and control decision-making method according to the present invention is shown.

[0073] In this optional embodiment, the distributed resource management and control decision method includes:

[0074] Step S101: Classify the distributed resources of each type in the distribution network according to the information on the types of distributed resources connected to the grid in the distribution transformer area; determine the distributed resource access control task based on the voltage data information of each frequency of the grid connection point of the distribution transformer area and the distributed resource access control target criteria.

[0075] Step S103: Based on the voltage limit violation information of the distribution transformer area's grid connection point and the corresponding control tasks, and in accordance with the distributed resource access control criteria under the voltage limit violation problem, determine the distributed resource access control decision for the voltage limit violation problem.

[0076] Step S105: Based on the information on harmonic distortion problems at the grid connection points of the distribution network area and the corresponding control tasks, and in conjunction with the control criteria for distributed resource access under harmonic distortion problems, determine the control decision for distributed resource access under harmonic distortion problems.

[0077] Step S107: Based on the information on voltage over-limit and harmonic distortion problems at the grid connection points of the distribution network area and the corresponding control tasks, and in accordance with the distributed resource access control criteria under the composite power quality problem, determine the execution decision for distributed resource access control under the composite power quality problem.

[0078] Figure 2 An embodiment of the distributed resource management and decision-making system of the present invention is shown.

[0079] In this optional embodiment, the distributed resource management and decision-making system includes:

[0080] The distributed resource management and control task determination module 201 is used to classify various types of distributed resources in the distribution network according to the type information of grid-connected distributed resources in the distribution transformer area; and to determine the distributed resource access management and control task based on the frequency voltage data information of the grid connection point of the distribution transformer area and the distributed resource access management and control target criteria.

[0081] The voltage limit violation management module 203 is used to determine the distributed resource access management decision for voltage limit violation issues based on the voltage limit violation information and corresponding management tasks of the distribution transformer area's grid connection point, and in accordance with the distributed resource access management criteria under the voltage limit violation issue.

[0082] The harmonic distortion problem control module 205 is used to determine the harmonic distortion problem distributed resource access control decision based on the harmonic distortion problem information and corresponding control tasks of the distribution network area grid connection point, combined with the distributed resource access control criteria under the harmonic distortion problem.

[0083] The composite power quality problem control module 207 is used to determine the execution decision of distributed resource access control for composite power quality problems based on the voltage over-limit and harmonic distortion problem information and corresponding control tasks of the distribution network area grid connection point, and in accordance with the distributed resource access control criteria under composite power quality problems.

[0084] To facilitate understanding of the above technical solutions of the present invention, the following further describes the above technical solutions of the present invention from the perspectives of architecture and principle, as follows:

[0085] The first aspect of this invention provides a distributed resource management decision-making method for improving power quality in distribution substations (e.g., Figure 4 As shown in the figure, it establishes a distributed resource management and control system for different types of power quality problems, explores the regulation potential of distributed resources and their ability to improve power quality problems, and realizes dynamic response and efficient control of complex power quality problems in the power distribution system.

[0086] A distributed resource management and control decision-making method for improving power quality in distribution substations includes:

[0087] 1. Based on the types of distributed resources connected to the grid within the distribution transformer area, these resources are classified into three main categories: distributed photovoltaic equipment, energy storage equipment, and power load. To improve the efficiency of distributed resource access management in the distribution transformer area, the following classification criteria are proposed:

[0088] 1) When the grid-connected equipment is a photovoltaic (PV) device, then this equipment belongs to distributed PV resources;

[0089] 2) When the grid-connected equipment is an energy storage device, then this equipment belongs to energy storage resources;

[0090] 3) When the grid-connected equipment is a power electronic load, if the conditions shown in equation (1) are met, then the equipment belongs to the power electronic load resource that can be disconnected; if the conditions shown in equation (1) are not met, then the equipment belongs to the power electronic load resource that cannot be disconnected.

[0091] (4) When the grid-connected equipment is a non-electric electronic load equipment, if the conditions shown in equation (2) are met, then the equipment belongs to the ordinary load resource that can be disconnected; if the conditions shown in equation (2) are not met, then the equipment belongs to the ordinary load resource that cannot be disconnected.

[0092] α PE,CF >P i PE,CF / P i PE (1)

[0093] α NM,CF >P i NM,CF / P i NM (2)

[0094] In the formula: α PE,CF P is the disconnectability judgment coefficient for power electronic loads. i PE,CF P represents the power value of the disconnectable load among the grid-connected electronic loads at grid connection point i in the distribution area; i PE α represents the power value of the grid-connected electronic load at grid connection point i in the distribution area; NM,CF P is the cutoff judgment coefficient for non-electric electronic loads. i NM,CF P represents the power value of the disconnectable load among the non-electric electronic loads connected to the grid at grid connection point i in the distribution area; i NM The value represents the power of the non-electric electronic load connected to the grid at grid connection point i in the transformer substation.

[0095] 2. Based on the collected voltage data information of each frequency at the grid connection point of the distribution radio area, and according to the distributed resource access control target criteria, the time interval of each judgment is the same as the time interval of the control command issuance, and the distributed resource access control task is determined.

[0096] Based on the collected voltage data at various frequencies from the distribution transformer substations and grid connection points, task judgment is made according to the distributed resource access control target criteria, such as... Figure 5 As shown, the specific control target criteria are set as follows:

[0097]

[0098] In the formula: k i K1 represents the power quality control task for grid connection point i in the distribution area; K2 represents the single control task for voltage exceeding the upper limit; K3 represents the single control task for voltage exceeding the lower limit; K4 represents the combined control task for voltage exceeding the lower limit and harmonic distortion; K5 represents the single control task for harmonic distortion; K6 represents that this distribution area currently does not require power quality control; V i V represents the voltage amplitude at grid connection point i in the distribution area; max This refers to the maximum voltage amplitude limit in the distribution network; V min The minimum voltage amplitude limit in the distribution network; THD V,i Total harmonic distortion of voltage at grid connection point i in the transformer substation; The maximum limit of total harmonic distortion rate of voltage at grid connection point i in the transformer substation.

[0099] When the control tasks are K1 and K3, step S3 is used to determine the control execution decision; when the control task is K5, step S4 is used to determine the control execution decision; when the control tasks are K2 and K4, step S5 is used to determine the control execution decision.

[0100] 3. Based on the voltage limit violation information and control tasks at the distribution transformer area's grid connection point, and in accordance with the distributed resource access control criteria under the voltage limit violation problem, obtain the distributed resource access control decision for the voltage limit violation problem.

[0101] 1) When the control task for the distribution area is K1, a decision is made to disconnect the distributed photovoltaic resources. Then, the control target criterion from step 2 is used for judgment. If the control task for the grid-connected point of the distribution area is K6, then the distributed resource control for this grid-connected point is completed; if the control task for the grid-connected point of the distribution area is still K1, a decision is made to disconnect the energy storage resources discharging at this time, thus completing the distributed resource control for this distribution area. Figure 6 As shown.

[0102] 2) When the control task of the distribution area is K3, a decision is made to disconnect the energy storage resources being charged at this time. Then, the control target criterion from step 2 is used for judgment. If the control task of the distribution area's grid connection point is K6, then the distributed resource control of this distribution area's grid connection point is completed; if the control task of the distribution area's grid connection point is still K3, a decision is made to disconnect the ordinary load resources that can be disconnected. Then, the control target criterion from step 2 is used for judgment. If the control task of the distribution area's grid connection point is still K3, a decision is made to disconnect the power electronic load resources that can be disconnected, completing the distributed resource control of this distribution area. Figure 7 As shown.

[0103] 4. Based on the information and control tasks related to harmonic distortion issues at the grid connection points of the distribution network area, and in accordance with the control criteria for distributed resource access under harmonic distortion issues, obtain the control decision for distributed resource access under harmonic distortion issues.

[0104] Based on the power data collected from the distribution substation grid connection points, the non-baseband power flow direction of substation grid connection point i is determined and its classification is established, such as... Figure 8 As shown, the classification method is as follows:

[0105]

[0106] In the formula, d i D1 represents the flow of non-baseband power from distributed resources to the distribution network at grid connection point i in the distribution area; D2 represents the flow of non-baseband power from the distribution network to distributed resources at grid connection point i in the distribution area; P i N The non-base frequency power flowing from the grid connection point i of the transformer substation to the distribution network.

[0107] When the control task for the distribution area is K5 and the non-baseband power flow is D1, a decision is made to disconnect the distributed photovoltaic resources. Then, using the control target criterion from step 2 and the non-baseband power flow criterion from step 4, if the control task for the distribution area is K6, the distributed resource control for this distribution area is completed; if the control task after the decision is K5 and the non-baseband power flow is D1, a decision is made to disconnect the energy storage resources discharging at this time. The distributed resource control for this distribution area is then completed.

[0108] When the control task for the distribution area is K5 and the non-baseband power flow is D2, a decision is made to disconnect the energy storage resources being charged at this time. Then, using the control target criterion from step 2 and the non-baseband power flow criterion from step 4, if the control task for the distribution area is K6, then the distributed resource control for this distribution area is completed; if the control task for the distribution area after the decision is K5 and the non-baseband power flow is D2, a decision is made to disconnect the power electronic load resources that can be disconnected. The distributed resource control for this distribution area is then completed.

[0109] 5. Based on the information and control tasks regarding voltage overruns and harmonic distortion issues at the grid connection points of the distribution substation, and in accordance with the control criteria for distributed resource access under complex power quality issues, obtain the execution decision for distributed resource access control under complex power quality issues.

[0110] 1) When the control task for the transformer area is K2, first use step 1) in step 3 to make a voltage over-limit control decision. Then use step 4 to make a harmonic distortion control decision, thus completing the distributed resource control under the complex power quality problem of this transformer area.

[0111] 2) When the control task for the transformer area is K4, first use step 2) in step 3 to make a voltage over-limit control decision. Then use step 4 to make a harmonic distortion control decision, thus completing the distributed resource control under the complex power quality problem of this transformer area.

[0112] It can realize the rational management and control of distributed resources based on the monitoring data of distribution transformer areas, improve the power quality level of transformer area operation, and provide decision support for the efficient management and control of large-scale, multi-type, and distributed resources of the power distribution system.

[0113] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 3 As shown, the computer device includes a processor, memory, and a network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and 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 medium. The database stores static and dynamic information data. The network interface communicates with external terminals via a network connection. When the computer program is executed by the processor, it implements the steps in the above method embodiments.

[0114] Those skilled in the art will understand that Figure 3 The structure shown is merely a block diagram of a portion of the structure related to the present invention and does not constitute a limitation on the computer device to which the present invention is applied. A specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0115] In addition, the present invention also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0116] In addition, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the above method embodiments.

[0117] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided by this invention can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0118] This invention is not limited to the structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this invention is limited only by the appended claims.

Claims

1. A distributed resource management and control decision-making method, characterized in that, include: Based on the information on the types of distributed resources connected to the grid within the distribution transformer area, the various types of distributed resources in the distribution network are classified; based on the voltage data information of each frequency at the grid connection point of the distribution transformer area, and combined with the criteria for distributed resource access control objectives, the distributed resource access control tasks are determined. Based on the voltage limit violation information and corresponding control tasks of the distribution transformer area grid connection point, and in accordance with the distributed resource access control criteria under the voltage limit violation problem, the distributed resource access control decision for the voltage limit violation problem is determined. Based on the information on harmonic distortion problems at the grid connection points of the distribution network area and the corresponding control tasks, and in conjunction with the control criteria for distributed resource access under harmonic distortion problems, the control decision for distributed resource access under harmonic distortion problems is determined. Based on the information on voltage over-limit and harmonic distortion issues at the grid connection points of the distribution network area and the corresponding control tasks, and in accordance with the control criteria for distributed resource access under complex power quality issues, the execution decision for distributed resource access control under complex power quality issues is determined.

2. The distributed resource management and control decision-making method according to claim 1, characterized in that, The categories of distributed resources in the distribution network include distributed photovoltaic resources, energy storage resources, disconnectable power electronic load resources, non-disconnectable power electronic load resources, disconnectable ordinary load resources, and non-disconnectable ordinary load resources.

3. The distributed resource management and control decision-making method according to claim 1, characterized in that, The expression for the distributed resource access control objective criterion is: In the formula: k i K1 represents the power quality control task for distribution substation i at grid connection point; K2 represents the single control task for voltage exceeding the upper limit; K3 represents the single control task for voltage exceeding the lower limit; K4 represents the combined control task for voltage exceeding the lower limit and harmonic distortion; K5 represents the single control task for harmonic distortion; K6 represents that this distribution substation currently does not require power quality control. i V represents the voltage amplitude at grid connection point i in the distribution substation area; max This refers to the maximum voltage amplitude limit in the distribution network; V min The minimum voltage amplitude limit in the distribution network; THD V,i Total harmonic distortion of voltage at grid connection point i in the distribution area; The maximum limit of total harmonic distortion of voltage at grid connection point i in the distribution area.

4. The distributed resource management and control decision-making method according to claim 1, characterized in that, The distributed resource access control tasks include a single control task for voltage exceeding the upper limit, a combined control task for voltage exceeding the upper limit and harmonic distortion exceeding the upper limit, a single control task for voltage exceeding the lower limit, a combined control task for voltage exceeding the lower limit and harmonic distortion exceeding the lower limit, and a single control task for harmonic distortion exceeding the lower limit.

5. The distributed resource management and control decision-making method according to claim 4, characterized in that, When the control task is a single control task for voltage exceeding the upper limit and a single control task for voltage exceeding the lower limit, determine the distributed resource access control decision for voltage exceeding the limit problem; When the control task is a single control task for harmonic distortion exceeding the limit, determine the control decision for distributed resource access to harmonic distortion problems. When the control task is a combined control task of voltage exceeding the upper limit and harmonic distortion exceeding the limit, and a combined control task of voltage exceeding the lower limit and harmonic distortion exceeding the limit, the distributed resource access control execution decision for the combined power quality problem is determined.

6. The distributed resource management and control decision-making method according to claim 1, characterized in that, The process of determining the distributed resource access control decision for harmonic distortion problems based on the information on harmonic distortion issues at the grid connection points of the distribution network area and the corresponding control tasks, combined with the distributed resource access control criteria under harmonic distortion problems, includes: Based on the power data collected from the grid connection points of the distribution network area, the non-base frequency power flow direction of the grid connection points of the distribution network area is judged and its classification is determined; Based on the classification of non-base frequency power flow direction matching corresponding control tasks, and by conducting decision analysis on energy storage resources and power electronic load resources respectively, the distributed resource access control decision for harmonic distortion problem is determined.

7. The distributed resource management and control decision-making method according to claim 6, characterized in that, The classification expression for the non-fundamental frequency power flow direction is: In the formula, d i D1 represents the non-baseband power flow direction at grid connection point i in the distribution substation area; D2 represents the non-baseband power flow from distributed resources to the distribution network at grid connection point i in the distribution substation area; D2 represents the non-baseband power flow from the distribution network to distributed resources at grid connection point i in the distribution substation area. The non-base frequency power flowing from distribution substation connection point i to the distribution network.

8. A distributed resource management and control decision-making system, characterized in that, include: The distributed resource management and control task determination module is used to classify various types of distributed resources in the distribution network according to the type information of grid-connected distributed resources in the distribution transformer area; and to determine the distributed resource access management and control task based on the frequency voltage data information of the grid connection point of the distribution transformer area and the distributed resource access management and control target criteria. The voltage limit violation management module is used to determine the distributed resource access management decision for voltage limit violation issues based on the voltage limit violation information and corresponding management tasks of the distribution transformer area's grid connection point, and in accordance with the distributed resource access management criteria under the voltage limit violation issue. The harmonic distortion problem control module is used to determine the distributed resource access control decision for harmonic distortion problems based on the harmonic distortion problem information and corresponding control tasks of the distribution network area grid connection point, combined with the distributed resource access control criteria under the harmonic distortion problem. The composite power quality problem management module is used to determine the execution decision of distributed resource access management for composite power quality problems based on the voltage over-limit and harmonic distortion problem information and corresponding management tasks of the distribution network area grid connection point, and according to the distributed resource access management criteria under composite power quality problems.

9. The distributed resource management and control decision system according to claim 8, characterized in that, The categories of distributed resources in the distribution network include distributed photovoltaic resources, energy storage resources, disconnectable power electronic load resources, non-disconnectable power electronic load resources, disconnectable ordinary load resources, and non-disconnectable ordinary load resources.

10. The distributed resource management and control decision system according to claim 8, characterized in that, The expression for the distributed resource access control objective criterion is: In the formula: k i K1 represents the power quality control task for distribution substation i at grid connection point; K2 represents the single control task for voltage exceeding the upper limit; K3 represents the single control task for voltage exceeding the lower limit; K4 represents the combined control task for voltage exceeding the lower limit and harmonic distortion; K5 represents the single control task for harmonic distortion; K6 represents that this distribution substation currently does not require power quality control. i V represents the voltage amplitude at grid connection point i in the distribution substation area; max This refers to the maximum voltage amplitude limit in the distribution network; V min The minimum voltage amplitude limit in the distribution network; THD V,i Total harmonic distortion of voltage at grid connection point i in the distribution area; The maximum limit of total harmonic distortion of voltage at grid connection point i in the distribution area.

11. The distributed resource management and control decision system according to claim 8, characterized in that, The distributed resource access control tasks include a single control task for voltage exceeding the upper limit, a combined control task for voltage exceeding the upper limit and harmonic distortion exceeding the upper limit, a single control task for voltage exceeding the lower limit, a combined control task for voltage exceeding the lower limit and harmonic distortion exceeding the lower limit, and a single control task for harmonic distortion exceeding the lower limit.

12. The distributed resource management and control decision system according to claim 11, characterized in that, When the control task is a single control task for voltage exceeding the upper limit and a single control task for voltage exceeding the lower limit, determine the distributed resource access control decision for voltage exceeding the limit problem; When the control task is a single control task for harmonic distortion exceeding the limit, determine the control decision for distributed resource access to harmonic distortion problems. When the control task is a combined control task of voltage exceeding the upper limit and harmonic distortion exceeding the limit, and a combined control task of voltage exceeding the lower limit and harmonic distortion exceeding the limit, the distributed resource access control execution decision for the combined power quality problem is determined.

13. The distributed resource management and control decision system according to claim 8, characterized in that, The harmonic distortion problem control module, based on the harmonic distortion problem information and corresponding control tasks of the distribution network area grid connection points, and combined with the distributed resource access control criteria under the harmonic distortion problem, determines the distributed resource access control decision for the harmonic distortion problem. It then uses power data collected from the distribution network area grid connection points to judge and classify the non-base frequency power flow direction of the grid connection points. Based on the classified non-base frequency power flow direction, it matches the corresponding control tasks and performs decision analysis on energy storage resources and power electronic load resources respectively to determine the distributed resource access control decision for the harmonic distortion problem.

14. The distributed resource management and decision-making system according to claim 13, characterized in that, The classification expression for the non-fundamental frequency power flow direction is: In the formula, d i D1 represents the non-baseband power flow direction at grid connection point i in the distribution substation area; D2 represents the non-baseband power flow from distributed resources to the distribution network at grid connection point i in the distribution substation area; D2 represents the non-baseband power flow from the distribution network to distributed resources at grid connection point i in the distribution substation area. The non-base frequency power flowing from distribution substation connection point i to the distribution network.

15. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

16. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

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