Voltage regulation resource configuration decision-making method and system for low-computing-power distribution transformer area

Abstract

The invention discloses a voltage regulation resource configuration decision-making method and system for a low-computing power distribution area, and belongs to the technical field of power distribution network operation management and control, and the method comprises the steps: collecting the annual operation voltage state information of a node in a high-permeability distributed photovoltaic distribution area, and carrying out the typical scene screening of voltage out-of-limit; aiming at a typical scene of voltage out-of-limit in the power distribution area, taking voltage out-of-limit minimization of all nodes in the power distribution area as a target, and obtaining a voltage regulation resource configuration scheme in the typical scene; constructing other derivative scenes of the power distribution area according to the typical scene, and obtaining a voltage regulation resource configuration scheme in the corresponding scene; and importing the obtained configuration schemes into an intelligent fusion terminal, and performing scene matching and outputting a voltage regulation resource configuration decision based on the acquired voltage operation state information of the nodes in the power distribution area. According to the method, rapid voltage regulation resource configuration decision output can be carried out on a low-calculation-power distribution area, and effective decision support is provided for power distribution network maintenance personnel.

Description

Technical Field

[0001] The present invention belongs to the technical field of distribution network operation control, and particularly relates to a voltage regulation resource allocation decision method and system for a low-computing-power distribution substation area. Background Art

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

[0003] With the increasing global demand for clean energy, distributed photovoltaic power generation has developed rapidly due to its advantages such as environmental protection and flexibility. In some areas with rich light resources and large power demands, a large number of distributed photovoltaics are connected to distribution substations, forming a high-penetration distributed photovoltaic distribution substation area. However, the voltage over-limit problem in high-penetration distributed photovoltaic distribution substation areas is particularly prominent. When a large amount of distributed photovoltaics generate electricity and the local load is small, the excess electric energy is inverted to the power grid, resulting in the voltage of the substation area rising above the upper limit; conversely, when the light is insufficient and the load is large, the voltage will fall below the lower limit. Voltage over-limit will not only affect the power consumption quality of users, but also may damage power grid equipment and reduce the equipment life. To solve the voltage over-limit problem, it is an inevitable choice to configure voltage regulation resources in the substation area. By reasonably configuring voltage regulation devices such as capacitors, reactors, and energy storage, effective voltage regulation can be achieved. However, most distribution substations usually face the problem of insufficient computing power, and the hardware equipment of the substation area is difficult to quickly output voltage regulation resource allocation decisions according to the operation state of the power grid, which hinders the high-quality operation of low-computing-power distribution substations.

[0004] In actual operation, the operation state of the power grid is changing at all times. There is an urgent need to quickly output resource allocation decisions to provide effective and sufficient decision support for distribution network maintenance personnel, so as to ensure the stable operation of the node voltage in the substation area. Traditional resource allocation decision methods cannot meet this rapid response requirement due to complex calculations and long time consumption. Therefore, there is an urgent need for a method that can not only fully consider the actual operation conditions of the substation area, but also utilize limited computing resources to quickly output voltage regulation resource allocation decisions, so as to ensure the stable operation of the voltage in high-penetration distributed photovoltaic distribution substation areas. Summary of the Invention

[0005] The purpose of the present invention is to overcome the above-mentioned deficiencies existing in the prior art, and provide a voltage regulation resource allocation decision method and system for a low-computing-power distribution substation area. Aiming at the voltage deviation problem existing in high-penetration distributed photovoltaic distribution substation areas with weak data processing capabilities, it realizes the offline and rapid configuration suggestion output of voltage regulation resource allocation for low-computing-power distribution substations, meets the requirement of quickly outputting voltage regulation resource allocation decisions for this type of substation area, and provides sufficient configuration decision reserves for distribution network maintenance personnel of low-computing-power distribution substations to optimize the operation level of the distribution network.

[0006] In order to achieve the above object, the present invention is implemented through the following technical solutions:

[0007] On the one hand, the technical solution of the present invention provides a method for making decisions on voltage regulation resource allocation for low-computing-power distribution stations, including:

[0008] Collect the year-round operating voltage status information of nodes within a high-penetration distributed photovoltaic distribution area and screen for typical scenarios where voltage exceeds the limit;

[0009] For typical scenarios where voltage exceeds the limit in distribution substations, the voltage regulation resource allocation plan for these scenarios is obtained with the goal of minimizing the voltage exceeding the limit at all nodes in the distribution substation.

[0010] Construct other derivative scenarios of the distribution substation area based on typical scenarios, and obtain the voltage regulation resource configuration plan for the corresponding scenarios;

[0011] Import the obtained configuration plans into the intelligent fusion terminal and use them as the basis for offline rapid judgment of voltage regulation resource configuration suggestions based on statistical judgment of distribution station area information;

[0012] Based on the collected voltage operation status information of each node in the distribution substation area, scenario matching is performed and voltage regulation resource configuration decisions are output.

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

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

[0015] The voltage exceeds the upper limit: Where: U D is the voltage measurement value of each node in the distribution station area, is the node voltage upper limit judgment value, U max.1 is the maximum value of node voltage within the distribution station area;

[0016] Voltage exceeds the lower limit: Where: is the node voltage lower limit judgment value, U min.1 is the minimum value of node voltage within the distribution station area;

[0017] High photovoltaic power generation: Where: P PV.1 is the measured value of photovoltaic power generation within the distribution station area, Determine the limit value for high-level photovoltaic power generation;

[0018] High load level: Where: PL.1 is the measured value of the user load power in the distribution substation area, is the judgment limit for high-level access of the user load;

[0019] The scenarios that meet the above scenario screening criteria are recorded as the typical scenario set

[0020] In at least one embodiment, the obtaining of the voltage regulation resource configuration scheme under the typical scenario is specifically as follows: for the typical scenario of voltage over-limit in the distribution substation area, with the minimum voltage over-limit of all nodes in the distribution substation area as the goal, the active and reactive voltage regulation resource configuration schemes under the typical scenario are obtained.

[0021] In at least one embodiment, other derivative scenarios constructed according to the typical scenario include: the first derivative scenario, the second derivative scenario, and the third derivative scenario;

[0022] The first derivative scenario is that the minimum value of the node voltage in the distribution substation area remains unchanged while the maximum value of the node voltage increases due to the increase in the photovoltaic power generation;

[0023] The second derivative scenario is that the minimum value of the node voltage in the distribution substation area decreases while the maximum value of the node voltage remains unchanged due to the increase in the electricity load level;

[0024] The third derivative scenario is that the maximum value of the node voltage in the distribution substation area increases and the minimum value decreases due to the increase in the photovoltaic power generation and the increase in the electricity load level.

[0025] In at least one embodiment, the basis for the offline quick judgment of the voltage regulation resource configuration suggestion based on the statistics and judgment of the distribution substation area information includes: the active and reactive voltage regulation resource capacities installed at the configuration nodes under the typical scenario; the active and reactive voltage regulation resource capacities installed at the configuration nodes under the first derivative scenario; the active and reactive voltage regulation resource capacities installed at the configuration nodes under the second derivative scenario; the active and reactive voltage regulation resource capacities installed at the configuration nodes under the third derivative scenario.

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

[0027] On the other hand, the technical solution of the present invention also provides a voltage regulation resource configuration decision system for a low-computing-power distribution substation area, including:

[0028] The data acquisition and typical scenario screening module is configured to: collect the annual operation voltage state information of the nodes in the high-penetration distributed photovoltaic distribution substation area, and perform the screening of the typical scenarios of voltage over-limit;

[0029] A voltage regulation resource allocation calculation module, configured to: for typical scenarios of voltage violation in a distribution substation area, with the goal of minimizing voltage violations at all nodes in the distribution substation area, obtain a voltage regulation resource allocation plan for typical scenarios;

[0030] A derivative scenario generation and configuration plan calculation module, configured to: construct other derivative scenarios of the distribution substation area according to the typical scenario, and obtain a voltage regulation resource allocation plan for the corresponding scenario;

[0031] An information import module, configured to: import the obtained various configuration plans into the intelligent fusion terminal, and use it as the basis for quickly judging offline the voltage regulation resource allocation suggestions based on the statistics and judgment of the distribution substation area information;

[0032] A scenario matching and configuration decision output module, configured to: based on the voltage operation status information of each node in the distribution substation area collected, perform scenario matching and output a voltage regulation resource allocation decision.

[0033] The beneficial effects of the above technical solutions of the present invention are as follows:

[0034] 1) A voltage regulation resource allocation decision method for a low-computing-power distribution substation area according to the present invention addresses the voltage deviation problem existing in a high-penetration distributed photovoltaic substation area with weak data processing capabilities, realizes the output of quick offline configuration suggestions for voltage regulation resource allocation in a low-computing-power distribution substation area, meets the need for quick voltage regulation resource allocation decision output in this type of substation area, and provides sufficient configuration decision reserves for maintenance personnel of low-computing-power distribution networks to optimize the operation level of the distribution network.

[0035] 2) A voltage regulation resource allocation decision method for a low-computing-power distribution substation area according to the present invention can realize quantitative suggestions for the capacity allocation of voltage regulation resources in the substation area based on the information collected by the intelligent fusion terminal in a substation area with weak data information processing capabilities.

[0036] 3) A voltage regulation resource allocation decision method for a low-computing-power distribution substation area according to the present invention only requires a substation area with weak data information processing capabilities to make a judgment in combination with the operating voltage range of each node in the distributed photovoltaic distribution network substation area, improving the decision-making ability of the substation area with weak data information processing capabilities for voltage regulation resource allocation.

[0037] 4) A voltage regulation resource allocation decision method for a low-computing-power distribution substation area according to the present invention proposes a criterion for dividing typical scenarios of voltage violation in a high-penetration distributed photovoltaic distribution substation area, and constructs other operating scenarios that may occur in this type of substation area based on the typical scenario, so as to realize the output of a voltage regulation resource allocation plan that is more in line with the development trend of high-penetration distributed photovoltaic substation areas. Description of the Drawings

[0038] The accompanying drawings forming a part of this invention are used to provide a further understanding of the invention. The schematic embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0039] Figure 1 It is a schematic flow chart of a voltage regulation resource allocation decision-making method for a low-computing-power distribution substation area of the present invention. Detailed implementation manners

[0040] It should be noted that the following detailed descriptions are all illustrative and are intended to provide further explanations of the present invention. Unless otherwise specified, all technical and scientific terms used in the present invention have the same meanings as those commonly understood by those of ordinary skill in the technical field to which the present invention belongs.

[0041] As introduced in the background art, the purpose of the present invention is to overcome the above-mentioned deficiencies in the existing technology, and to provide a voltage regulation resource allocation decision-making method and system for a low-computing-power distribution substation area. Aiming at the voltage deviation problem existing in a high-penetration distributed photovoltaic distribution substation area with weak data processing capabilities, it realizes the offline and rapid output of configuration suggestions for voltage regulation resource allocation in a low-computing-power distribution substation area, meets the demand for rapid voltage regulation resource allocation decision-making output in this type of substation area, and provides sufficient configuration decision-making reserves for maintenance personnel of low-computing-power distribution network substation areas to optimize the operation level of the distribution network.

[0042] Embodiment 1

[0043] In a typical implementation manner of the present invention, as Figure 1 shown, this embodiment discloses a voltage regulation resource allocation decision-making method for a low-computing-power distribution substation area, including:

[0044] S100: Collect the annual operating voltage status information of the nodes in the high-penetration distributed photovoltaic distribution substation area, and screen the typical scenarios of voltage over-limit.

[0045] S200: For the typical scenarios of voltage over-limit in the distribution substation area, with the minimum voltage over-limit of all nodes in the distribution substation area as the goal, obtain the voltage regulation resource allocation scheme under the typical scenarios.

[0046] S300: Construct other derivative scenarios of the distribution substation area according to the typical scenarios, and obtain the voltage regulation resource allocation schemes under the corresponding scenarios.

[0047] S400: Import the obtained various configuration schemes into the intelligent fusion terminal, and use it as the basis for the offline and rapid judgment of the voltage regulation resource allocation suggestions according to the statistics and judgment of the distribution substation area information.

[0048] S500: Based on the voltage operation status information of each node in the collected distribution substation area, perform scenario matching and output the voltage regulation resource allocation decision.

[0049] The following is a detailed description.

[0050] S100: Collect the annual operating voltage status information of the internal nodes in the distribution substation area as the original scenario library, and select the typical scenarios of node voltage over-limit in the distribution substation area from the original scenario library according to the typical scenario screening principle.

[0051] For a distribution substation area with a high penetration rate of distributed photovoltaic power generation, the power generation of the distributed photovoltaic system and the load size of the distribution users are the key factors affecting whether the node voltage in the substation area exceeds the limit. Therefore, first collect the annual operating voltage status information of the nodes inside the distribution substation area with a high penetration rate of distributed photovoltaic power generation, and use this as the original scenario library. Then, according to the typical scenario screening principle, select the typical scenarios of node voltage over-limit in the distribution substation area from the original scenario library.

[0052] Among them, the typical scenario screening principle includes the judgment of the node voltage operating range, the judgment of the photovoltaic power generation power operating range, and the judgment of the load power operating range. Specifically, construct the typical scenario set The screening principle is as follows:

[0053] (1) Voltage exceeding the upper limit: In the formula: U D is the measured value of the node voltage in the substation area, is the upper limit judgment value of the node voltage, U max.1 is the maximum value of the node voltage in the substation area.

[0054] (2) Voltage exceeding 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 substation area.

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

[0056] (4) High load level: [[ID=;46]]In the formula: P L.1 is the measured value of the user load power in the substation area, is the judgment limit value for high-level access of the user load. <;

[0057] In the original scenario library, screen the scenarios that can meet the above typical scenario screening criteria, and record them as the typical scenario set

[0058] S200: For the typical scenarios of distribution substation area voltage over-limit, with the goal of minimizing the voltage over-limit of all nodes in the distribution substation area, obtain the voltage regulation resource allocation plan under the typical scenarios.

[0059] Based on the typical scenario set of a high-penetration distributed photovoltaic substation area constructed by S100, a mathematical model is established. With the goal of minimizing the voltage over-limit amplitude of all nodes in the substation area, the particle swarm optimization algorithm can be used to obtain the optimal solution of the model, and an active and reactive voltage regulation resource allocation scheme that can cover the typical scenarios of voltage over-limit in high-penetration distributed photovoltaic distribution substation areas can be obtained.

[0060] The voltage regulation resource allocation scheme is generally expressed as: the voltage regulation resource allocation capacity of node N1 is P 1,1 +jQ 1,1 ;...; N m The voltage regulation resource allocation capacity of the node is P m,1 +jQ m,1 . Among them, P 1,1 +jQ 1,1 represents the active power capacity and reactive power capacity of the voltage regulation resources that need to be installed at node N1 in the typical scenario, and m is the number of voltage regulation resources that need to be configured.

[0061] S300: Combine the typical scenarios of voltage over-limit in the distribution substation area with the actual operation status information of the distribution substation area to construct other derivative scenarios of the distribution substation area, and obtain the voltage regulation resource allocation scheme corresponding to the scenarios.

[0062] Specifically, taking the typical scenarios obtained by S100 as a reference, combining the actual operation status information of the high-penetration distributed photovoltaic distribution substation area, constructing other derivative scenarios of the high-penetration distributed photovoltaic distribution network substation area, and using the S200 calculation method to obtain the voltage regulation resource allocation scheme corresponding to the scenarios.

[0063] Since U max.1 and U min.1 in the typical scenarios of high-penetration distributed photovoltaic distribution substation areas will change with the change of photovoltaic power generation and load levels, the following three other possible scenarios in high-penetration distributed photovoltaic distribution substation areas are derived:

[0064] (1) The first derivative scenario (hereinafter referred to as scenario 2): Due to more photovoltaic access or increased photovoltaic power generation in each photovoltaic node in the distribution substation area, the minimum value of the node voltage in the distribution substation area remains unchanged, and the maximum value of the node voltage increases, that is

[0065]

[0066] In the formula, is the scenario set that meets the requirements of scenario 2; U min.2 is the minimum value of the node voltage in the substation area in scenario 2; U max.2 is the maximum value of the node voltage in the substation area in scenario 2; P PV.2 is the distributed photovoltaic output power in scenario 2; k PV.2To increase the proportionality coefficient of the distributed PV output in Scenario 2, generally k PV.2 > 1; k U is the empirical coefficient of the voltage upper limit determined by the distribution network operation and maintenance personnel according to on-site experience. Generally, k U > 1.

[0067] The S200 method is used to obtain the voltage regulation resource configuration scheme under Scenario 2, which is generally expressed as: the voltage regulation resource configuration capacity of Node N1 is P 1,2 + jQ 1,2 ; ……; N m The voltage regulation resource configuration capacity of the node is P m,2 + jQ m,2 . Among them, P 1,2 + jQ 1,2 represents the active power capacity and reactive power capacity of the voltage regulation resources to be installed at Node N1 in Scenario 2.

[0068] (2) The second derivative scenario (hereinafter referred to as Scenario 3): The continuous increase in the power consumption load level within the distribution substation area leads to a decrease in the minimum node voltage within the substation area while the maximum node voltage remains unchanged, that is

[0069]

[0070] In the formula, is the set of scenarios that meet the requirements of Scenario 3; U min.3 is the minimum node voltage within the substation area in Scenario 3; U max.3 is the maximum node voltage within the substation area in Scenario 3; P L.3 is the magnitude of the user load power in Scenario 3; k L.3 is the user load increase proportionality coefficient in Scenario 3. Generally, k L.3 > 1; k L is the empirical coefficient of the voltage lower limit determined by the distribution network operation and maintenance personnel according to on-site experience. Generally, k L < 1.

[0071] The S200 method is used to obtain the voltage regulation resource configuration scheme under Scenario 3, which is generally expressed as: the voltage regulation resource configuration capacity of Node N1 is P 1,3 + jQ 1,3 ; ……; N m The voltage regulation resource configuration capacity of the node is P m,3 + jQ m,3 . Among them, P 1,3 + jQ 1,3 represents the active power capacity and reactive power capacity of the voltage regulation resources to be installed at Node N1 in Scenario 3.

[0072] (3) The third derived scenario (hereinafter referred to as Scenario 4): The power generation levels of each photovoltaic node in the substation area continue to increase, and the user load levels continue to increase, resulting in a decrease in the minimum node voltage and an increase in the maximum node voltage in the substation area, that is

[0073]

[0074] In the formula, is the set of scenarios that meet the requirements of Scenario 4; U min.4 is the minimum node voltage in the substation area in Scenario 4; P PV.4 is the output power of distributed photovoltaics in Scenario 4; k PV.4 is the proportionality coefficient of the increase in the output of distributed photovoltaics in Scenario 4. Generally, k PV.4 > 1; P L.4 is the magnitude of the user load power in Scenario 4; k L.4 is the proportionality coefficient of the increase in the user load 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 expressed as: The voltage regulation resource configuration capacity of Node N1 is P 1,4 +jQ 1,4 ;...; N m The voltage regulation resource configuration capacity of the node is P m,4 +jQ m,4 . Among them, P 1,4 +jQ 1,4 represents the active power capacity and reactive power capacity of the voltage regulation resources that need to be installed at Node N1 in Scenario 4.

[0076] S400: Synthesize the voltage regulation resource configuration schemes obtained under each scenario and import them into the intelligent fusion terminal, which is used as the basis for quickly judging offline the voltage regulation resource configuration suggestions based on the statistics of the distribution substation area information.

[0077] Specifically, it is to synthesize the 1 typical scenario and 3 derived scenarios obtained by S200 and S300, a total of 4 scenario configuration schemes, to form a set of voltage regulation resource configuration schemes for the full scenario of a high-penetration distributed photovoltaic distribution substation area, and import them into the intelligent fusion terminal as the basis for quickly judging offline the voltage regulation resource configuration suggestions based on the statistics of the substation area information.

[0078] The judgment basis is as follows:

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

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

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

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

[0083] S500: Collect the all-day operation range of the node voltage in the distribution substation area and import it into the intelligent fusion terminal. The intelligent fusion terminal performs scenario matching based on the collected data and outputs the decision on the voltage regulation resource configuration of the distribution substation area.

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

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

[0086] S502: If Then the intelligent fusion terminal outputs "The current substation area voltage exceeds the upper limit of the voltage operation range. It is recommended to configure P 1,2 +jQ 1,2 capacity at the N1 node, configure P 2,2 +jQ 2,2 capacity at the N2 node,..., configure P m at the N node) m,2 +jQm ,2 "Capacity".

[0087] S503: If then the intelligent fusion terminal outputs "The current substation area voltage exceeds the lower limit of the voltage operation range. It is recommended to configure P 1,3 +jQ 1,3 capacity at node N1, configure P 2,3 +jQ 2,3 capacity at node N2,..., configure P m at node N m,3 +jQ m ,3 capacity".

[0088] S504: If then the intelligent fusion terminal outputs "The current substation area voltage exceeds the upper and lower limits of the voltage operation range. It is recommended to configure P 1,4 +jQ 1,4 capacity at node N1, configure P 2,4 +jQ 2,4 capacity at node N2,..., configure P m at node N m,4 +jQ m,4 capacity".

[0089] In this embodiment, a voltage regulation resource configuration decision method for a low-computing-power distribution substation area sequentially collects the voltage operation status information of the internal nodes of a high-penetration distributed photovoltaic substation area and screens typical scenarios, obtains the voltage regulation resource configuration scheme under the typical scenario with the minimum voltage violation of all nodes in the typical scenario of substation area voltage over-limit, constructs other derivative scenarios of the high-penetration distributed photovoltaic substation area based on the typical scenario and obtains the corresponding voltage regulation resource configuration scheme, imports the above configuration scheme into the intelligent fusion terminal, performs scenario matching based on the voltage operation range of the internal nodes of the distribution substation area and outputs the voltage regulation resource configuration decision, realizing the rapid output of the voltage regulation resource configuration decision for the high-penetration distributed photovoltaic substation area, and providing sufficient voltage regulation resource configuration decision reserves for the distribution network maintenance personnel. Moreover, this method only requires the distribution substation area with weak data information processing ability to judge in combination with the operating voltage range of each node in the distributed photovoltaic substation area, and then can output the corresponding voltage regulation resource configuration decision, improving the decision-making ability of the distribution substation area with weak data information processing ability for voltage regulation resource configuration, and can realize the rapid output of the voltage regulation resource configuration decision for the high-penetration distributed photovoltaic distribution substation area with low computing power, providing effective decision support for the distribution network maintenance personnel.

[0090] Embodiment 2

[0091] In a typical implementation manner of the present invention, this embodiment discloses a voltage regulation resource configuration decision system for a low-computing-power distribution substation area, including:

[0092] A data acquisition and typical scenario screening module, which is configured to: acquire the annual operating voltage status information of nodes in a high-penetration distributed photovoltaic distribution area, and screen typical scenarios of voltage over-limit;

[0093] Specifically, it includes: acquiring the annual operating voltage status information of internal nodes in the distribution area as the original scenario library, and selecting typical scenarios of voltage over-limit of nodes in the area from the original scenario library according to the typical scenario screening principle;

[0094] A voltage regulation resource configuration calculation module, which is configured to: aiming at the typical scenario of voltage over-limit in the distribution area, and taking the minimum voltage over-limit of all nodes in the distribution area as the goal, obtain a voltage regulation resource configuration scheme for the typical scenario;

[0095] Specifically, it includes: based on the typical scenario set of the high-penetration distributed photovoltaic distribution area constructed by the data acquisition and typical scenario screening module, and taking the minimum voltage over-limit amplitude of all nodes in the distribution area as the goal, obtain an active and reactive voltage regulation resource configuration scheme that can cover the typical scenario of voltage over-limit in the distribution area;

[0096] A derivative scenario generation and configuration scheme calculation module, which is configured to: construct other derivative scenarios of the distribution area according to the typical scenario, and obtain a voltage regulation resource configuration scheme for the corresponding scenario;

[0097] Specifically, it includes: combining the typical scenario of voltage over-limit in the distribution area with the actual operation status information of the distribution area, constructing other derivative scenarios of the distribution area, and obtaining a voltage regulation resource configuration scheme for the corresponding scenario;

[0098] An information import module, which is configured to: import the obtained various configuration schemes into the intelligent fusion terminal, and use it as the basis for quickly judging offline the voltage regulation resource configuration suggestions according to the statistical judgment of the distribution area information;

[0099] Specifically, it includes: synthesizing the voltage regulation resource configuration schemes obtained for each scenario and importing them into the intelligent fusion terminal, and using it as the basis for quickly judging offline the voltage regulation resource configuration suggestions according to the statistical judgment of the distribution area information;

[0100] A scenario matching and configuration decision output module, which is configured to: based on the voltage operation status information of each node in the acquired distribution area, perform scenario matching and output a voltage regulation resource configuration decision;

[0101] Specifically, it includes: acquiring the all-day operation range of the voltage of nodes in the distribution area and importing it into the intelligent fusion terminal, and the intelligent fusion terminal performs scenario matching according to the acquired data and outputs a voltage regulation resource configuration decision for the distribution area.

[0102] Embodiment 3

[0103] In a typical implementation of the present invention, this embodiment provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the steps in the voltage regulation resource allocation decision method for low-computing-power distribution substations introduced in Embodiment 1. The steps include:

[0104] S100: Collect the annual operating voltage status information of nodes in the high-penetration distributed photovoltaic distribution substation, and screen the typical scenarios of voltage over-limit.

[0105] S200: For the typical scenarios of voltage over-limit in the distribution substation, with the goal of minimizing the voltage over-limit of all nodes in the distribution substation, obtain the voltage regulation resource allocation scheme under the typical scenarios.

[0106] S30: Construct other derivative scenarios of the distribution substation according to the typical scenarios, and obtain the voltage regulation resource allocation schemes under the corresponding scenarios.

[0107] S400: Import the obtained allocation schemes into the intelligent fusion terminal, and use it as the basis for quickly judging offline the voltage regulation resource allocation suggestions based on the statistics and judgment of the distribution substation information.

[0108] S500: Based on the collected voltage operating status information of each node in the distribution substation, perform scenario matching and output the voltage regulation resource allocation decision.

[0109] Embodiment 4

[0110] In a typical implementation of the present invention, this embodiment provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the steps in the voltage regulation resource allocation decision method for low-computing-power distribution substations introduced in Embodiment 1. The steps include:

[0111] S100: Collect the annual operating voltage status information of nodes in the high-penetration distributed photovoltaic distribution substation, and screen the typical scenarios of voltage over-limit.

[0112] S200: For the typical scenarios of voltage over-limit in the distribution substation, with the goal of minimizing the voltage over-limit of all nodes in the distribution substation, obtain the voltage regulation resource allocation scheme under the typical scenarios.

[0113] S300: Construct other derivative scenarios of the distribution substation according to the typical scenarios, and obtain the voltage regulation resource allocation schemes under the corresponding scenarios.

[0114] S400: Import the obtained allocation schemes into the intelligent fusion terminal, and use it as the basis for quickly judging offline the voltage regulation resource allocation suggestions based on the statistics and judgment of the distribution substation information.

[0115] S500: Based on the voltage operation status information of each node in the distribution substation area collected, perform scenario matching and output the voltage regulation resource configuration decision.

[0116] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A voltage regulation resource allocation decision-making method for low-computing-power distribution substations, characterized in that Including: Collect the annual operating voltage status information of the nodes in the high-penetration distributed photovoltaic distribution substation area, and screen the typical scenarios of voltage over-limit; For the typical scenarios of voltage over-limit in the distribution substation area, with the goal of minimizing the voltage over-limit of all nodes in the distribution substation area, obtain the voltage regulation resource configuration plan for the typical scenarios; Construct other derivative scenarios of the distribution substation area according to the typical scenarios, and obtain the voltage regulation resource configuration plans for the corresponding scenarios; Import the obtained configuration plans into the intelligent fusion terminal, and use it as the basis for quickly judging the voltage regulation resource configuration suggestions offline according to the statistics and judgment of the distribution substation area information; Based on the collected voltage operation status information of each node in the distribution substation area, perform scenario matching and output the voltage regulation resource configuration decision.

2. The voltage regulation resource allocation decision method for low-computing-power distribution substations according to claim 1, wherein The typical scenario screening principles include judging the node voltage operation range, the photovoltaic power generation operation range, and the load power operation range, and constructing a typical scenario set according to the above principles.

3. The voltage regulation resource allocation decision method for a low-computing-power distribution substation area according to claim 2, wherein The typical scenario set specifically includes: Voltage exceeds the upper limit: Where: U D is the measured voltage value of each node in the distribution substation area, is the judgment value of the upper limit of the node voltage, and U max.1 is the maximum value of the node voltage in the distribution substation area; Voltage below the lower limit: Where: is the lower limit judgment value of the node voltage, and U min.1 is the minimum value of the node voltage in the distribution substation area; High incidence of photovoltaic power generation: Where: P PV.1 is the measured value of photovoltaic power generation in the distribution transformer area, is the judgment limit value of high-level photovoltaic power generation; High load level: Where: P L.1 is the measured value of the user load power in the distribution substation area, is the judgment limit for high-level access of the user load; The scenarios that meet the above scenario screening criteria are denoted as the set of typical scenarios 4. The voltage regulation resource allocation decision-making method for low-computing-power distribution substations according to claim 1, characterized in that The specific method for obtaining the voltage regulation resource configuration plan for the typical scenarios is: for the typical scenarios of voltage over-limit in the distribution substation area, with the goal of minimizing the voltage over-limit of all nodes in the distribution substation area, obtain the active and reactive voltage regulation resource configuration plans for the typical scenarios.

5. The voltage regulation resource allocation decision-making method for low-computing-power distribution substations according to claim 1, characterized in that, The other derivative scenarios constructed according to the typical scenarios include: the first derivative scenario, the second derivative scenario, and the third derivative scenario; The first derivative scenario is that the minimum value of the node voltage in the distribution substation area remains unchanged while the maximum value of the node voltage increases due to the increase in photovoltaic power generation; The second derivative scenario is that the minimum value of the node voltage in the distribution substation area decreases while the maximum value of the node voltage remains unchanged due to the increase in the electricity load level; The third derivative scenario is that the maximum value of the node voltage in the distribution substation area increases and the minimum value decreases due to the increase in photovoltaic power generation and the increase in the electricity load level.

6. The voltage regulation resource allocation decision method for low-computing power distribution areas according to claim 1, characterized in that The basis for quickly judging the voltage regulation resource configuration suggestions offline according to the statistics and judgment of the distribution substation area information includes: the active and reactive voltage regulation resource capacities installed at the configured nodes in the typical scenarios; the active and reactive voltage regulation resource capacities installed at the configured nodes in the first derivative scenario; the active and reactive voltage regulation resource capacities installed at the configured nodes in the second derivative scenario; the active and reactive voltage regulation resource capacities installed at the configured nodes in the third derivative scenario.

7. A voltage regulation resource allocation decision-making method for low-computing-power distribution substations according to claim 1, characterized in that The voltage regulation resource configuration decision for the distribution substation area includes: judging the scenario set to which the current operation scenario of the distribution substation area belongs, and outputting the voltage regulation resource configuration decision for the corresponding scenario through the intelligent fusion terminal.

8. A voltage regulation resource allocation decision-making system for low-computing power distribution substations, characterized in that, Including: The data acquisition and typical scenario screening module is configured to: collect the annual operating voltage status information of the nodes in the high-penetration distributed photovoltaic distribution substation area, and screen the typical scenarios of voltage over-limit; The voltage regulation resource configuration calculation module is configured to: for the typical scenarios of voltage over-limit in the distribution substation area, with the goal of minimizing the voltage over-limit of all nodes in the distribution substation area, obtain the voltage regulation resource configuration plan for the typical scenarios; The derivative scenario generation and configuration plan calculation module is configured to: construct other derivative scenarios of the distribution substation area according to the typical scenarios, and obtain the voltage regulation resource configuration plans for the corresponding scenarios; The information import module is configured to: import each acquired configuration scheme into the intelligent fusion terminal, and use it as a basis for offline rapid judgment of voltage regulation resource configuration suggestions based on statistical judgment of distribution station area information; The scenario matching and configuration decision output module is configured to: perform scenario matching and output voltage regulation resource configuration decisions based on the collected voltage operation status information of each node in the distribution station area.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that When the program is executed by the processor, the steps of the voltage regulation resource configuration decision method for low computing power distribution station area as described in any one of claims 1 to 7 are implemented.

10. A computer device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that When the processor executes the program, the steps in the voltage regulation resource configuration decision method for low computing power distribution station area as described in any one of claims 1-7 are implemented.

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