A voltage regulation resource configuration decision method and system for a low-computing-power power distribution area

Abstract

The application discloses a voltage regulation resource configuration decision method and system for a low-computing-power distribution area, and belongs to the technical field of distribution network operation management and control. The method comprises the following steps: collecting annual operation voltage state information of nodes in a high-permeability distributed photovoltaic distribution area, and performing typical scene screening of voltage out-of-limit; aiming at the typical scene of voltage out-of-limit of the distribution area, taking the minimum voltage out-of-limit of all nodes in the distribution area as a target, obtaining a voltage regulation resource configuration scheme under the typical scene; constructing other derived scenes of the distribution area according to the typical scene, and obtaining a voltage regulation resource configuration scheme under the corresponding scene; and importing the obtained configuration schemes into an intelligent fusion terminal, performing scene matching and outputting a voltage regulation resource configuration decision based on the collected voltage operation state information of nodes in the distribution area. The application can realize fast voltage regulation resource configuration decision output for the low-computing-power distribution area, and provide effective decision support for distribution network maintenance personnel.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of power distribution network operation management and control, and particularly relates to a voltage regulation resource configuration decision method and system for low-computing-power distribution areas. BACKGROUND

[0002] The statements herein only provide background technology related to the present application, and do not necessarily constitute prior art.

[0003] With the increasing demand for clean energy worldwide, distributed photovoltaic power generation has developed rapidly due to its environmental protection and flexibility. In some areas with abundant sunlight resources and high demand for electricity, a large number of distributed photovoltaics are connected to distribution areas, forming high-penetration distributed photovoltaic distribution areas. However, the voltage out-of-limit problem of high-penetration distributed photovoltaic distribution areas is particularly prominent. When a large amount of distributed photovoltaic power is generated and the local load is small, the excess power is fed back to the grid, causing the voltage to rise above the upper limit; on the contrary, when the sunlight is insufficient and the load is large, it will also cause the voltage to fall below the lower limit. Voltage out-of-limit not only affects the power quality of users, but also may cause damage to grid equipment and reduce equipment life. In order to solve the problem of voltage out-of-limit, it is necessary to configure voltage regulation resources in the area, and by reasonably configuring voltage regulation devices such as capacitors, reactors, energy storage, etc., the voltage can be effectively regulated. However, most distribution areas usually face the problem of insufficient computing power, and the hardware devices in the area are difficult to quickly output voltage regulation resource configuration decisions according to the operating state of the grid, hindering the high-quality operation of low-computing-power distribution areas.

[0004] In actual operation, the operating state of the grid changes at all times, and it is urgent to quickly output resource configuration decisions to provide effective and sufficient decision support for distribution network maintenance personnel, and thus ensure the stable operation of node voltage in the area. Traditional resource configuration decision methods cannot meet the demand for rapid response due to their complex calculations and long processing times. Therefore, there is an urgent need for a method that can fully consider the actual operating conditions of the area and quickly output voltage regulation resource configuration decisions using limited computing resources, thereby ensuring the stable operation of voltage in high-penetration distributed photovoltaic distribution areas. SUMMARY

[0005] The purpose of the present application is to overcome the deficiencies in the prior art, and to provide a voltage regulation resource configuration decision method and system for low-computing-power distribution areas. For the voltage deviation problem existing in high-penetration distributed photovoltaic distribution areas with weak data processing capability, the present application realizes the offline rapid configuration and suggestion output of voltage regulation resource configuration in low-computing-power distribution areas, meets the demand for rapid voltage regulation resource configuration decision output in this type of area, and provides sufficient configuration decision reserves for distribution network operation level optimization by low-computing-power distribution network maintenance personnel.

[0006] To achieve the above object, the present application is realized by the following technical solutions:

[0007] In one aspect, the technical scheme of the present application provides a voltage regulation resource configuration decision method for low-computing-power distribution areas, comprising:

[0008] Collecting annual operation voltage state information of nodes in a high-penetration distributed photovoltaic distribution area, and performing typical scene screening of voltage out-of-limit;

[0009] For typical scenes of voltage out-of-limit in the distribution area, obtaining a voltage regulation resource configuration scheme under the typical scenes, with the minimum voltage out-of-limit of all nodes in the distribution area as the target;

[0010] According to the typical scenes, other derived scenes of the distribution area are constructed, and a voltage regulation resource configuration scheme under the corresponding scenes is obtained;

[0011] The obtained various configuration schemes are imported into an intelligent fusion terminal, which is used as a basis for offline rapid judgment of voltage regulation resource configuration suggestions according to the distribution area information statistics judgment;

[0012] Based on the collected voltage operation state information of each node in the distribution area, scene matching is performed and a voltage regulation resource configuration decision is output.

[0013] In at least one embodiment, the typical scene screening principles include node voltage operation range judgment, photovoltaic power operation range judgment, and load power operation range judgment, and a typical scene set is constructed according to the above principles.

[0014] In at least one embodiment, the typical scene set specifically includes:

[0015] Voltage over the upper limit: In the formula: U D is the voltage measurement value of each node in the distribution area, is the upper limit judgment value of the node voltage, U max.1 is the maximum value of the node voltage in the distribution area;

[0016] Voltage under the lower limit: In the formula: is the lower limit judgment value of the node voltage, U min.1 is the minimum value of the node voltage in the distribution area;

[0017] High photovoltaic generation: In the formula: P PV.1 is the photovoltaic power measurement value in the distribution area, is the high-level photovoltaic power judgment limit value;

[0018] High load level: In the formula: PL.1 a user load power measurement value in the power distribution area, a high level access judgment limit value for the user load;

[0019] The scene meeting the above scene screening criteria is recorded as a typical scene set

[0020] In at least one embodiment, the obtaining of the voltage regulation resource configuration scheme under the typical scene is specifically: for the voltage out-of-limit typical scene of the power distribution area, taking the minimum voltage out-of-limit of all nodes in the power distribution area as the target, the active and reactive voltage regulation resource configuration scheme under the typical scene is obtained.

[0021] In at least one embodiment, the other derived scenes constructed according to the typical scene include: a first derived scene, a second derived scene and a third derived scene.

[0022] The first derived scene is that the minimum value of the node voltage in the power distribution area does not change and the maximum value of the node voltage rises due to the rise of the photovoltaic power generation capacity.

[0023] The second derived scene is that the minimum value of the node voltage in the power distribution area decreases and the maximum value of the node voltage does not change due to the rise of the electricity load level.

[0024] The third derived scene is that the maximum value of the node voltage in the power distribution area rises and the minimum value decreases due to the rise of the photovoltaic power generation capacity and the rise of the electricity load level.

[0025] In at least one embodiment, the basis for the off-line quick judgment of the voltage regulation resource configuration suggestion determined according to the power distribution area information includes: the active and reactive voltage regulation resource capacity installed at the configuration node under the typical scene; the active and reactive voltage regulation resource capacity installed at the configuration node under the first derived scene; the active and reactive voltage regulation resource capacity installed at the configuration node under the second derived scene; and the active and reactive voltage regulation resource capacity installed at the configuration node under the third derived scene.

[0026] In at least one embodiment, the voltage regulation resource configuration decision of the power distribution area includes: judging the scene set to which the current power distribution area operating scene belongs, and outputting the voltage regulation resource configuration decision under the corresponding scene through the intelligent fusion terminal.

[0027] In another aspect, the technical scheme of the present application also provides a voltage regulation resource configuration decision system for a low-computing-power power distribution area, which includes:

[0028] The data acquisition and typical scene screening module is configured to: acquire the annual operating voltage state information of the nodes in the high-penetration distributed photovoltaic power distribution area, and screen the typical scenes of voltage out-of-limit;

[0029] The voltage regulation resource configuration calculation module is configured to, for a voltage out-of-limit typical scenario of a power distribution area, obtain a voltage regulation resource configuration scheme under the typical scenario, with the minimum voltage out-of-limit of all nodes in the power distribution area as a target;

[0030] The derived scenario generation and configuration scheme calculation module is configured to construct other derived scenarios of the power distribution area according to the typical scenario, and obtain a voltage regulation resource configuration scheme under the corresponding scenario;

[0031] The information import module is configured to import each obtained configuration scheme into the intelligent fusion terminal as a basis for offline rapid judgment of the voltage regulation resource configuration suggestion determined according to the power distribution area information statistics;

[0032] The scenario matching and configuration decision output module is configured to perform scenario matching and output a voltage regulation resource configuration decision based on the voltage operation state information of each node of the power distribution area collected.

[0033] The technical scheme of the present application has the following advantages:

[0034] 1) The voltage regulation resource configuration decision method for low-computing-power distribution areas of the present application realizes offline rapid configuration suggestion output of low-computing-power distribution area voltage regulation resource configuration, meets the needs of rapid voltage regulation resource configuration decision output of this type of area, and provides sufficient configuration decision reserves for low-computing-power distribution area maintenance personnel to optimize power distribution network operation level, for the voltage deviation problem of high-penetration distributed photovoltaic areas with weak data processing capability.

[0035] 2) The voltage regulation resource configuration decision method for low-computing-power distribution areas of the present application can realize quantitative suggestions for voltage regulation resource capacity configuration in the area based on intelligent fusion terminal collected information in weak data information processing areas.

[0036] 3) The voltage regulation resource configuration decision method for low-computing-power distribution areas of the present application only requires weak data information processing areas to make judgments in combination with the operation voltage range of each node in the distributed photovoltaic power distribution network area, thereby improving the decision-making ability of weak data information processing areas for voltage regulation resource configuration.

[0037] 4) The voltage regulation resource configuration decision method for low-computing-power distribution areas of the present application proposes a typical scenario division criterion for voltage out-of-limit of high-penetration distributed photovoltaic power distribution areas, and constructs other operation scenarios that may occur in this type of area based on the typical scenario, thereby realizing output of a voltage regulation resource configuration scheme that is more in line with the development trend of high-penetration distributed photovoltaic areas. BRIEF DESCRIPTION OF DRAWINGS

[0038] The accompanying drawings, which form a part of this specification, are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification. The embodiments of the application, and their

[0039] Figure 1 is a flowchart of a voltage regulation resource configuration decision method for low-computing-power distribution areas. DETAILED DESCRIPTION

[0040] It should be noted that the following detailed description is illustrative only, and is intended to provide further description of the application. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0041] As introduced in the background, the purpose of the present application is to overcome the shortcomings of the prior art, and to provide a voltage regulation resource configuration decision method and system for low-computing-power distribution areas. The present application addresses the voltage deviation problem in high-penetration distributed photovoltaic distribution areas with weak data processing capability, and realizes offline fast configuration suggestion output for low-computing-power distribution area voltage regulation resource configuration, meeting the needs of fast voltage regulation resource configuration decision output for this type of distribution area, and providing sufficient configuration decision reserves for low-computing-power distribution network maintenance personnel to optimize distribution network operation level.

[0042] Embodiment 1

[0043] In a typical embodiment of the present application, as shown in Figure 1 The present embodiment discloses a voltage regulation resource configuration decision method for low-computing-power distribution areas, comprising:

[0044] S100: Collecting annual operation voltage state information of nodes in a high-penetration distributed photovoltaic distribution area, and performing typical scene screening of voltage out-of-limit.

[0045] S200: For the typical scene of voltage out-of-limit in the distribution area, taking the minimum voltage out-of-limit of all nodes in the distribution area as the target, obtaining a voltage regulation resource configuration scheme under the typical scene.

[0046] S300: Constructing other derived scenes of the distribution area according to the typical scene, and obtaining a voltage regulation resource configuration scheme under the corresponding scene.

[0047] S400: Importing each configuration scheme obtained into an intelligent fusion terminal, and taking it as a basis for offline fast judgment of voltage regulation resource configuration suggestion according to distribution area information statistics.

[0048] S500: Based on the collected voltage operation state information of each node in the distribution area, performing scene matching and outputting a voltage regulation resource configuration decision.

[0049] The detailed description is as follows.

[0050] S100: Collect the voltage state information of all nodes in the distribution area throughout the year as the original scene library, and select the typical scenes of the voltage overrun of the nodes in the distribution area from the original scene library according to the typical scene screening principle.

[0051] For the high-penetration distributed photovoltaic distribution area, the power generation of the distributed photovoltaic system and the load size of the distribution users are the key factors affecting whether the voltage of the nodes in the distribution area is overrun. Therefore, the voltage state information of all nodes in the high-penetration distributed photovoltaic distribution area throughout the year is collected first, and then the typical scenes of the voltage overrun of the nodes in the distribution area are selected from the original scene library according to the typical scene screening principle.

[0052] The typical scene screening principle includes node voltage operation range judgment, photovoltaic power operation range judgment, and load power operation range judgment. Specifically, the typical scene set is constructed according to the following screening principle:

[0053] (1) Voltage overrun upper limit: wherein, U D is the measured value of the voltage of each node in the distribution area, is the upper limit judgment value of the voltage of the node, U max.1 is the maximum value of the voltage of the node in the distribution area.

[0054] (2) Voltage overrun lower limit: wherein: is the lower limit judgment value of the voltage of the node, U min.1 is the minimum value of the voltage of the node in the distribution area.

[0055] (3) High photovoltaic generation: wherein, P PV.1 is the measured value of the photovoltaic power in the distribution area, is the high-level photovoltaic power generation judgment limit value.

[0056] (4) High load level: wherein, P L.1 is the measured value of the user load power in the distribution area, is the high-level user load access judgment limit value.

[0057] The scenes that meet the above typical scene screening criteria are selected from the original scene library, and are recorded as the typical scene set

[0058] S200: For the voltage overrun typical scenes of the distribution area, the minimum voltage overrun of all nodes in the distribution area is taken as the target, and the voltage regulation resource configuration scheme under the typical scenes is obtained.

[0059] A mathematical model is established based on the typical scenario set of the high penetration rate distributed photovoltaic substation constructed by S100, and the minimum voltage over-limit amplitude of all nodes in the substation is taken as the target. The optimal solution of the model can be obtained by using the particle swarm algorithm, and the active and reactive voltage regulation resource configuration scheme covering the typical scenario of voltage over-limit of the high penetration rate distributed photovoltaic distribution substation can be obtained.

[0060] The voltage regulation resource configuration scheme is generally represented as: the voltage regulation resource configuration capacity of N1 node is P 1,1 +jQ 1,1 ; …; the voltage regulation resource configuration capacity of N m node is P m,1 +jQ m,1 . Wherein P 1,1 +jQ 1,1 represents the active capacity and reactive capacity of the voltage regulation resource to be installed in the typical scenario of node N1, and m is the number of voltage regulation resources to be configured.

[0061] S300: Construct other derived scenarios of the distribution substation in combination with the voltage over-limit typical scenario of the distribution substation and the actual operation state information of the distribution substation, and obtain the voltage regulation resource configuration scheme under the corresponding scenario.

[0062] Specifically, the typical scenario obtained by S100 is taken as a reference, the actual operation state information of the high penetration rate distributed photovoltaic distribution substation is combined, other derived scenarios of the high penetration rate distributed photovoltaic distribution substation are constructed, and the voltage regulation resource configuration scheme under the corresponding scenario is obtained by using the calculation method of S200.

[0063] Since U max.1 and U min.1 in the typical scenario of the high penetration rate distributed photovoltaic distribution substation will change with the change of photovoltaic power generation and load level, three other scenarios that may occur in the high penetration rate distributed photovoltaic distribution substation are derived as follows:

[0064] (1) The first derived scenario (hereinafter referred to as scenario 2): due to more photovoltaic access or higher photovoltaic power generation in each photovoltaic node in the distribution substation, the minimum value of the node voltage in the distribution substation does not change, and the maximum value of the node voltage increases, that is,

[0065]

[0066] In the formula, is the scenario set required to meet scenario 2; U min.2 is the minimum value of the node voltage in scenario 2; U max.2 is the maximum value of the node voltage in scenario 2; P PV.2 is the distributed photovoltaic output power in scenario 2; k PV.2To increase the scaling factor of distributed photovoltaic output in Scenario 2, generally k PV.2 >1;k U This is an empirical coefficient for the upper limit of voltage, determined by distribution network operation and maintenance personnel based on their field experience; typically k U >1.

[0067] The voltage regulation resource configuration scheme for scenario 2 is obtained using the S200 method, generally expressed as: the voltage regulation resource configuration capacity of node N1 is P. 1,2 +jQ 1,2 ;……;N m The node voltage regulation resource configuration capacity is P. m,2 +jQ m,2 Among them, P 1,2 +jQ 1,2 This indicates the active and reactive power capacity of the voltage regulation resources that node N1 needs to install in scenario 2.

[0068] (2) Second derivative scenario (hereinafter referred to as scenario 3): The continuous increase in the power load level in the distribution transformer area leads to a decrease in the minimum voltage of each node in the area while the maximum voltage of each node remains unchanged, i.e.

[0069]

[0070] In the formula, The set of scenarios that meet the requirements of Scenario 3; U min.3 U represents the minimum node voltage within the transformer area in scenario 3. max.3 P represents the maximum node voltage within the transformer area in scenario 3. L.3 k represents the user load power in scenario 3. L.3 To increase the user load ratio in scenario 3, generally k L.3 >1;k L This is an empirical coefficient for the lower voltage limit determined by distribution network operation and maintenance personnel based on their field experience; typically k L <1.

[0071] The voltage regulation resource configuration scheme for scenario 3 is obtained using the S200 method, generally expressed as: the voltage regulation resource configuration capacity of node N1 is P. 1,3 +jQ 1,3 ;……;N m The node voltage regulation resource configuration capacity is P. m,3 +jQ m,3 Among them, P 1,3 +jQ 1,3 This indicates the active and reactive power capacity of the voltage regulation resources that node N1 needs to install in scenario 3.

[0072] (3) The third derivative scenario (hereinafter referred to as scenario 4): the power generation level of each photovoltaic node in the transformer area continues to rise, and the user load level continues to rise, resulting in a decrease in the minimum voltage of each node in the transformer area and an increase in the maximum voltage of the node, that is

[0073]

[0074] wherein, is a set of scenarios required to meet scenario 4; U min.4 is the minimum voltage of the node in scenario 4; P PV.4 is the distributed photovoltaic output power in scenario 4; k PV.4 is the distributed photovoltaic output increase coefficient in scenario 4, generally k PV.4 > 1; P L.4 is the user load power in scenario 4; k L.4 is the user load increase coefficient in scenario 4, generally k L.4 > 1.

[0075] The S200 method is used to obtain the voltage regulation resource configuration scheme under scenario 4, which is generally represented as: the voltage regulation resource configuration capacity of node N1 is P 1,4 +jQ 1,4 ; …; the voltage regulation resource configuration capacity of node N m is P m,4 +jQ m,4 . Wherein P 1,4 +jQ 1,4 represents the active capacity and reactive capacity of the voltage regulation resource to be installed in node N1 in scenario 4.

[0076] S400: The voltage regulation resource configuration schemes under each scenario obtained are integrated and imported into the intelligent fusion terminal as the basis for offline rapid judgment of the voltage regulation resource configuration suggestion according to the distribution transformer area information statistics.

[0077] Specifically, the four scenario configuration schemes of one typical scenario and three derivative scenarios obtained by S200 and S300 are integrated to form a set of voltage regulation resource configuration schemes for high-penetration distributed photovoltaic distribution transformer areas under all scenarios, which are imported into the intelligent fusion terminal as the basis for offline rapid judgment of the voltage regulation resource configuration suggestion according to the transformer area information statistics.

[0078] The judgment basis is as follows:

[0079] (1) The typical scenario (i.e. scenario 1) configuration scheme: the voltage regulation resource configuration capacity of node N1 is P 1,1 +jQ 1,1 ; …; the voltage regulation resource configuration capacity of node N m is P m,1 +jQm,1 ;

[0080] (2) The first derived scenario (i.e. scenario 2) configuration scheme: the voltage regulation resource configuration capacity of the N1 node is P 1,2 +jQ 1 ,2 ; …; N m The voltage regulation resource configuration capacity of the N1 node is P m,2 +jQ m,2 ;

[0081] (3) The second derived scenario (i.e. scenario 3) configuration scheme: the voltage regulation resource configuration capacity of the N1 node is P 1,3 +jQ 1 ,3 ; …; N m The voltage regulation resource configuration capacity of the N1 node is P m,3 +jQ m,3 ;

[0082] (4) The third derived scenario (i.e. scenario 4) configuration scheme: the voltage regulation resource configuration capacity of the N1 node is P 1,4 +jQ 1 ,4 ; …; N m The voltage regulation resource configuration capacity of the N1 node is P m,4 +jQ m,4 .

[0083] S500: Collect and import the node voltage all-day operation range in the distribution area into the intelligent fusion terminal, and the intelligent fusion terminal performs scenario matching according to the collected data and outputs the distribution area voltage regulation resource configuration decision.

[0084] Specifically, the node voltage all-day operation range data in the high-penetration distributed photovoltaic distribution area is collected and input into the intelligent fusion terminal, and the intelligent fusion terminal performs scenario matching according to the collected data and outputs the distribution area voltage regulation resource configuration suggestion in real time. The specific process is as follows:

[0085] S501: If , the intelligent fusion terminal outputs "the current distribution area voltage is within the normal operation range. The current voltage regulation resource configuration meets the operation requirement".

[0086] S502: If , the intelligent fusion terminal outputs "the current distribution area voltage exceeds the upper limit of the voltage operation range. It is suggested to configure P 1,2 +jQ 1,2 capacity at the N1 node, P 2,2 +jQ 2,2 capacity at the N2 node, …, P m +jQ m,2 capacity at the N node.m ,2 "current transformer voltage exceeds the lower limit of the voltage operating range. It is recommended to configure P

[0087] S503: if , the intelligent fusion terminal outputs "current transformer voltage exceeds the lower limit of the voltage operating range. It is recommended to configure P 1,3 +jQ 1,3 capacity at N1 node, P 2,3 +jQ 2,3 capacity at N2 node, …, P m +jQ m,3 capacity at N node. m ,3 ".

[0088] S504: if , the intelligent fusion terminal outputs "current transformer voltage exceeds the lower limit and upper limit of the voltage operating range. It is recommended to configure P 1,4 +jQ 1,4 capacity at N1 node, P 2,4 +jQ 2,4 capacity at N2 node, …, P m +jQ m,4 capacity at N node. m,4 ".

[0089] The embodiment is a voltage regulation resource configuration decision method for a low-computing-power distribution transformer area. The voltage operating state information of the nodes in a high-penetration distributed photovoltaic transformer area is collected and typical scenarios are selected. The voltage regulation resource configuration scheme in a typical scenario is obtained by taking the minimum voltage overrun of all nodes in the typical scenario as the target. Other derived scenarios of the high-penetration distributed photovoltaic transformer area are constructed based on the typical scenario, and the corresponding voltage regulation resource configuration scheme is obtained. The above configuration scheme is imported into an intelligent fusion terminal, and the voltage regulation resource configuration decision is output based on the voltage operating range of the nodes in the distribution transformer area, so that the voltage regulation resource configuration decision of the high-penetration distributed photovoltaic transformer area is quickly output, and sufficient voltage regulation resource configuration decision reserves are provided for distribution network maintenance personnel. Moreover, the method only requires the distribution transformer area with weak data information processing capability to make a judgment based on the operating voltage range of each node in the distributed photovoltaic distribution transformer area, so that the corresponding voltage regulation resource configuration decision can be output, the decision-making ability of the distribution transformer area with weak data information processing capability for voltage regulation resource configuration is improved, and the low-computing-power high-penetration distributed photovoltaic distribution transformer area can be quickly output for voltage regulation resource configuration decision, thereby providing effective decision-making support for distribution network maintenance personnel.

[0090] Embodiment 2

[0091] In a typical embodiment of the application, the embodiment discloses a voltage regulation resource configuration decision system for a low-computing-power distribution transformer area, comprising:

[0092] The data collection and typical scene screening module is configured to collect the annual operation voltage state information of the nodes in the high penetration distributed photovoltaic power distribution area and screen typical scenes of voltage out-of-limit;

[0093] Specifically, the annual operation voltage state information of the nodes in the power distribution area is collected as an original scene library, and the typical scenes of voltage out-of-limit of the nodes in the area are selected from the original scene library according to the typical scene screening principle;

[0094] The voltage regulation resource configuration calculation module is configured to obtain a voltage regulation resource configuration scheme under the typical scenes by taking the minimum voltage out-of-limit of all the nodes in the power distribution area as a target for the typical scenes of voltage out-of-limit of the power distribution area;

[0095] Specifically, the typical scene set of the high penetration distributed photovoltaic area constructed by the data collection and typical scene screening module is taken as a target to obtain an active and reactive voltage regulation resource configuration scheme capable of covering the typical scenes of voltage out-of-limit of the power distribution area;

[0096] The derived scene generation and configuration scheme calculation module is configured to construct other derived scenes of the power distribution area according to the typical scenes and obtain a voltage regulation resource configuration scheme under the corresponding scenes;

[0097] Specifically, the other derived scenes of the power distribution area are constructed according to the typical scenes of voltage out-of-limit of the power distribution area combined with the actual operation state information of the power distribution area, and a voltage regulation resource configuration scheme under the corresponding scenes is obtained;

[0098] The information import module is configured to import each obtained configuration scheme into the intelligent fusion terminal as a basis for the offline quick judgment of the voltage regulation resource configuration suggestion according to the information statistics and judgment of the power distribution area;

[0099] Specifically, the voltage regulation resource configuration schemes under each obtained scene are integrated and imported into the intelligent fusion terminal as a basis for the offline quick judgment of the voltage regulation resource configuration suggestion according to the information statistics and judgment of the power distribution area;

[0100] The scene matching and configuration decision output module is configured to perform scene matching and output a voltage regulation resource configuration decision based on the collected voltage operation state information of each node in the power distribution area;

[0101] Specifically, the voltage operation range of the nodes in the power distribution area is collected and imported into the intelligent fusion terminal, and the intelligent fusion terminal performs scene matching and outputs a voltage regulation resource configuration decision of the power distribution area according to the collected data.

[0102] Embodiment 3

[0103] In one typical embodiment of the present application, the embodiment provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the voltage regulation resource configuration decision method for low-computing-power distribution areas as introduced in Embodiment 1, and the steps include:

[0104] S100: Collecting annual operation voltage state information of nodes in a high-permeability distributed photovoltaic distribution area, and performing typical scene screening of voltage out-of-limit.

[0105] S200: For the typical scene of voltage out-of-limit of the distribution area, taking the minimum voltage out-of-limit of all nodes in the distribution area as the target, obtaining a voltage regulation resource configuration scheme under the typical scene.

[0106] S300: Constructing other derived scenes of the distribution area according to the typical scene, and obtaining a voltage regulation resource configuration scheme under the corresponding scene.

[0107] S400: Importing each configuration scheme obtained into an intelligent fusion terminal, and taking it as a basis for offline rapid judgment of the voltage regulation resource configuration suggestion according to the distribution area information statistics.

[0108] S500: Based on the collected voltage operation state information of each node of the distribution area, performing scene matching and outputting a voltage regulation resource configuration decision.

[0109] Embodiment 4

[0110] In one typical embodiment of the present application, the embodiment provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements the steps of the voltage regulation resource configuration decision method for low-computing-power distribution areas as introduced in Embodiment 1 when executing the program, and the steps include:

[0111] S100: Collecting annual operation voltage state information of nodes in a high-permeability distributed photovoltaic distribution area, and performing typical scene screening of voltage out-of-limit.

[0112] S200: For the typical scene of voltage out-of-limit of the distribution area, taking the minimum voltage out-of-limit of all nodes in the distribution area as the target, obtaining a voltage regulation resource configuration scheme under the typical scene.

[0113] S300: Constructing other derived scenes of the distribution area according to the typical scene, and obtaining a voltage regulation resource configuration scheme under the corresponding scene.

[0114] S400: Importing each configuration scheme obtained into an intelligent fusion terminal, and taking it as a basis for offline rapid judgment of the voltage regulation resource configuration suggestion according to the distribution area information statistics.

[0115] S500: Based on the collected voltage operating state information of each node of the power distribution area, scene matching is performed and a voltage regulation resource configuration decision is output.

[0116] The above only describes the preferred embodiments of the present application and is not intended to limit the present application. The present application can be variously changed and modified by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for voltage regulation resource configuration decision for low-computing power distribution areas, characterized in that, Comprise: Collect the annual operation voltage state information of nodes in the high penetration distributed photovoltaic power distribution area, and screen the typical scenes of voltage overrun; For the typical scenes of voltage overrun in the power distribution area, obtain the voltage regulation resource configuration scheme under the typical scenes by taking the minimum voltage overrun of all nodes in the power distribution area as the target; According to the typical scenes, construct other derived scenes of the power distribution area, and obtain the voltage regulation resource configuration scheme under the corresponding scenes; Import each configuration scheme obtained into the intelligent fusion terminal, and use it as the basis for offline rapid judgment of the voltage regulation resource configuration suggestion determined according to the power distribution area information statistics; Based on the collected voltage operation state information of each node in the power distribution area, match the scenes and output the voltage regulation resource configuration decision; The typical scene screening principles include node voltage operation range judgment, photovoltaic power generation power operation range judgment, and load power operation range judgment, and a typical scene set is constructed according to the above principles; The typical scene set specifically comprises: voltage upper limit: , wherein: is a voltage measurement value of each node in a power distribution area, is a node voltage upper limit determination value, is a maximum value of node voltage in the power distribution area; voltage lower limit: , wherein: is a node voltage lower limit determination value, is a minimum value of node voltage in a distribution area. Photovoltaic high generation: , wherein: is a photovoltaic power generation measurement value in a power distribution area, is a photovoltaic high-level power generation judgment limit value; High load level: wherein: P is the measured value of the power of the load of the user in the distribution area, Pmax is the limit value of the high level access of the load of the user. Scenarios satisfying the above scenario screening criteria are noted as a typical scenario set ; The other derived scenes constructed according to the typical scenes include a first derived scene, a second derived scene, and a third derived scene; The first derived scene is that the minimum value of the node voltage in the power distribution area does not change and the maximum value of the node voltage rises due to the rise of photovoltaic power generation; The second derived scene is that the minimum value of the node voltage in the power distribution area decreases and the maximum value of the node voltage does not change due to the rise of the electricity load level; The third derived scene is that the maximum value of the node voltage in the power distribution area rises and the minimum value decreases due to the rise of photovoltaic power generation and the rise of the electricity load level.

2. The voltage regulation resource configuration decision method for low-computing power distribution areas according to claim 1, characterized in that, The voltage regulation resource configuration scheme under the typical scenes is specifically obtained as follows: for the typical scenes of voltage overrun in the power distribution area, obtain the active and reactive voltage regulation resource configuration scheme under the typical scenes by taking the minimum voltage overrun of all nodes in the power distribution area as the target.

3. The voltage regulation resource configuration decision method for low-computing power distribution areas according to claim 1, characterized in that, The basis for offline rapid judgment of the voltage regulation resource configuration suggestion determined according to the power distribution area information statistics includes: the active and reactive voltage regulation resource capacity installed at the configuration node under the typical scenes; the active and reactive voltage regulation resource capacity installed at the configuration node under the first derived scene; the active and reactive voltage regulation resource capacity installed at the configuration node under the second derived scene; and the active and reactive voltage regulation resource capacity installed at the configuration node under the third derived scene.

4. The voltage regulation resource configuration decision method for low-computing power distribution areas according to claim 1, characterized in that, The voltage regulation resource configuration decision of the power distribution area includes: judging the scene set to which the current power distribution area operation scene belongs, and outputting the voltage regulation resource configuration decision under the corresponding scene through the intelligent fusion terminal.

5. A voltage regulation resource configuration decision system for low-computing-power distribution areas, characterized in that, Comprise: The data acquisition and typical scene screening module is configured to collect the annual operation voltage state information of nodes in the high penetration distributed photovoltaic power distribution area, and screen the typical scenes of voltage overrun; The voltage regulation resource configuration calculation module is configured to obtain the voltage regulation resource configuration scheme under the typical scenes by taking the minimum voltage overrun of all nodes in the power distribution area as the target for the typical scenes of voltage overrun in the power distribution area; The derived scene generation and configuration scheme calculation module is configured to construct other derived scenes of the power distribution area according to the typical scenes, and obtain the voltage regulation resource configuration scheme under the corresponding scenes; The information import module is configured to import the obtained configuration schemes into the intelligent fusion terminal as a basis for offline quick judgment of the voltage regulation resource configuration suggestion according to the power distribution area information statistics judgment; The scene matching and configuration decision output module is configured to perform scene matching and output a voltage regulation resource configuration decision based on the collected voltage operation state information of each node in the power distribution area; The typical scene screening principles include node voltage operation range judgment, photovoltaic power generation power operation range judgment, and load power operation range judgment, and a typical scene set is constructed according to the principles; The typical scene set specifically includes: voltage upper limit: , wherein: is a voltage measurement value of each node in the power distribution area, is a node voltage upper limit determination value, is a maximum value of node voltage in the power distribution area; voltage lower limit: wherein: is a node voltage lower limit determination value, is a minimum value of node voltage in a distribution area. Photovoltaic high generation: , wherein: is a photovoltaic power generation measurement value in a power distribution area, is a photovoltaic high-level power generation judgment limit value; High load level: wherein: P is the measured value of the power of the load of the user in the distribution area, P is the high level access limit value for the load of the user. Scenarios satisfying the above scenario screening criteria are noted as a typical scenario set ; Other derived scenes constructed according to the typical scenes include a first derived scene, a second derived scene, and a third derived scene; The first derived scene is a scenario in which the minimum node voltage in the power distribution area does not change but the maximum node voltage rises due to an increase in photovoltaic power generation; The second derived scene is a scenario in which the minimum node voltage in the power distribution area decreases but the maximum node voltage does not change due to an increase in the electricity load level; The third derived scene is a scenario in which the maximum node voltage in the power distribution area rises and the minimum node voltage decreases due to an increase in photovoltaic power generation and an increase in the electricity load level.

6. A computer-readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to implement the steps in the low-computing-power-oriented power distribution area voltage regulation resource configuration decision method of any one of claims 1-4.

7. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the program to implement the steps in the low-computing-power-oriented power distribution area voltage regulation resource configuration decision method of any one of claims 1-4.

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