A voltage control method and system for transmission lines considering the integration of new energy sources

Abstract

The present invention provides a voltage control method and system for a transmission line considering the access of renewable energy, belonging to the technical field of power systems. The method and system specifically include: obtaining similar situations of abnormal fluctuation trends of historical power generation of different access nodes of interest in a time period; determining, based on the similar situations, when the fluctuation impact meets the requirements, based on the transmission amount interval in which the transmission amount in the transmission line is located, determining a processing method for voltage control of the transmission line according to similar situations of abnormal fluctuation trends of power generation of different first-class access nodes, and combining similar situations of abnormal fluctuation trends of power generation of second-class access nodes with first-class access nodes, thereby improving the reliability of voltage control.

Description

Technical Field

[0001] The present invention belongs to the technical field of power systems, and in particular relates to a voltage control method and system for a power transmission line considering the integration of new energy sources. Background Art

[0002] The output of the new energy system has a certain randomness, so the voltage of the transmission line may fluctuate to a certain extent, making it difficult for the operation stability of the transmission line to meet the requirements.

[0003] Specifically, in order to solve the above technical solutions, the existing technical solutions often perform input control processing of voltage control devices based on voltage monitoring results, such as reactive power compensation devices, overvoltage control devices, etc. However, the existing technical solutions have the following technical problems:

[0004] When performing voltage control processing, existing technical solutions often perform voltage control processing after the transmission voltage deviates. Once a voltage deviation occurs, the reactive power compensation device may be unable to meet the voltage control needs due to its small compensation capacity. Therefore, how to perform reactive power control processing in advance to avoid the situation where the voltage cannot be effectively controlled and to ensure the operational stability of the transmission line becomes a technical problem that needs to be solved urgently.

[0005] In order to solve the above technical problems, the present application provides a voltage control method and system for a transmission line considering the access of new energy. Summary of the Invention

[0006] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0007] Specifically, the present application provides a method for controlling voltage of a transmission line considering the integration of new energy sources, which specifically includes:

[0008] S1 determines, based on the composition data of the renewable energy power generation of the transmission line in different time periods and the composition data of the renewable energy power generation of the access nodes of the renewable energy equipment, that the risk of node exceeding the limit in the time period is within a preset coefficient range, and proceeds to the next step;

[0009] S2 determines the access types of different access nodes based on the composition data of the energy storage device of the new energy equipment, and determines the access nodes of interest based on the abnormal fluctuation data of the historical power generation of a type of access node in a time period and the power generation data;

[0010] S3 obtains similar situations of abnormal fluctuation trends of historical power generation of different access nodes of interest during the period, and proceeds to the next step when it is determined based on the similar situations that the fluctuation impact meets the requirements;

[0011] S4 determines a processing method for voltage control of the transmission line based on the transmission amount interval in which the transmission amount in the transmission line is located, according to the similarity of the abnormal fluctuation trends of the power generation of different first-class access nodes, and in combination with the similarity of the abnormal fluctuation trends of the power generation of the second-class access nodes and the first-class access nodes.

[0012] The beneficial effects of the present invention are:

[0013] The composition data of the renewable energy power generation of the transmission lines in different time periods and the composition data of the renewable energy power generation of the access nodes of the new energy equipment are used to determine whether the risk of node over-limit in the said time period is within the preset coefficient range. The difference in the online power of the new energy equipment of the transmission lines in different time periods due to the influence of data such as the amount of sunlight in different time periods is comprehensively considered, thereby realizing the generation of differentiated voltage control strategies in different time periods according to the difference in power generation, thereby ensuring the reliability of the voltage control of the transmission lines.

[0014] According to the similarity of the abnormal fluctuation trends of the power generation of different Class I access nodes and the similarity of the abnormal fluctuation trends of the power generation of Class II access nodes and Class I access nodes, the processing method of voltage control of the transmission line is determined. Not only is the difference in voltage over-limit risk caused by the overlap of the fluctuation trends at the abnormal fluctuation moments of Class I access nodes considered, but also the similarity of the abnormal fluctuation trends of the power generation of Class II access nodes and Class I access nodes is further combined to realize the generation of differentiated voltage control methods for the difference in the probability of voltage over-limit risk caused by different Class II access nodes. Then, on the basis of ensuring the amount of power connected to the grid, the voltage is controlled in advance, avoiding the emergence of technical problems with greater risks of voltage over-limit caused by the use of voltage monitoring.

[0015] A further technical solution is that the composition data of the renewable energy power generation includes the proportion of renewable energy power generation in the transmission line and the renewable energy power generation.

[0016] A further technical solution is that the composition data of the renewable energy power generation is determined according to the renewable energy power generation of the transmission lines on different dates.

[0017] A further technical solution is that the constituent data of the new energy power generation of the access nodes of the new energy equipment includes the new energy power generation of different access nodes.

[0018] A further technical solution is that the method for determining the impact risk of node exceeding the limit in the time period is:

[0019] Determining the composition ratio of renewable energy power generation of the transmission line in the period based on the composition data of renewable energy power generation of the transmission line on different dates in the period;

[0020] Determine the risk-constituting date among the dates based on the composition ratio and renewable energy power generation;

[0021] The impact risk of node exceeding the limit in the time period is determined by the composition data of the new energy power generation of the access node on the risk-forming date.

[0022] A further technical solution is that the method for determining the processing method for voltage control of the transmission line is:

[0023] Based on the transmission amount interval in which the transmission amount in the transmission line is located, determining the transmission amount interval corresponding to the transmission line, and using it as the matching transmission amount interval;

[0024] Based on the similarity of abnormal fluctuation trends of power generation of different types of access nodes, the moments when the fluctuation trends of abnormal fluctuations of different types of access nodes are consistent are determined and regarded as a type of consistent moments;

[0025] According to the similarity of the abnormal fluctuation trends of the power generation of the second type of access nodes and the first type of access nodes, determining a moment at which the fluctuation trends of the second type of access nodes are consistent with the abnormal fluctuation moments of the first type of access nodes in the first type of consistent moments, and using the moment as the fluctuation matching moment;

[0026] The processing method for voltage control of the transmission line is determined based on the composition data of the matching transmission power interval and the power generation of the new energy equipment, the number of first-class consistent moments in the most recent preset time period, the number of fluctuation matching moments of the second-class access nodes and the power generation.

[0027] On the other hand, the present invention provides a computer system comprising: a memory and a processor in communication connection, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned method for voltage control of a transmission line considering the access of new energy when running the computer program.

[0028] Other features and advantages will be described in the following description, and in part will become apparent from the description, or understood by practicing the invention. The purpose and other advantages of the invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0029] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The above and other features and advantages of the present invention will become more apparent by describing in detail example embodiments thereof with reference to the accompanying drawings.

[0031] Figure 1 It is a flow chart of a voltage control method for a transmission line considering the integration of new energy sources;

[0032] Figure 2 It is a flow chart of a method for determining the impact risk of node exceeding a limit in a time period;

[0033] Figure 3 is a flow chart of a method focusing on determination of an access node;

[0034] Figure 4 It is a flow chart to determine whether the impact of fluctuations meets the requirements. DETAILED DESCRIPTION

[0035] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concepts of the example embodiments to those skilled in the art. Like reference numerals in the figures represent like or similar structures, and thus their detailed description will be omitted.

[0036] The terms "a", "an", "the", and "said" are used to indicate the presence of one or more elements / components / etc.; the terms "including" and "having" are used to express an open-ended inclusive meaning and mean that additional elements / components / etc. may be present in addition to the listed elements / components / etc.

[0037] Example 1

[0038] To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, a voltage control method for a transmission line considering the integration of new energy sources is provided, specifically comprising:

[0039] S1 determines, based on the composition data of the renewable energy power generation of the transmission line in different time periods and the composition data of the renewable energy power generation of the access nodes of the renewable energy equipment, that the risk of node exceeding the limit in the time period is within a preset coefficient range, and proceeds to the next step;

[0040] Furthermore, the composition data of the renewable energy power generation includes the proportion of renewable energy power generation in the transmission line and the renewable energy power generation.

[0041] Specifically, the composition data of the renewable energy power generation is determined according to the renewable energy power generation of the transmission lines on different dates.

[0042] It should be noted that the constituent data of the new energy power generation of the access nodes of the new energy equipment includes the new energy power generation of different access nodes.

[0043] Specifically, such as Figure 2 As shown, the method for determining the impact risk of node crossing the limit in the time period is:

[0044] Determining the composition ratio of renewable energy power generation of the transmission line in the period based on the composition data of renewable energy power generation of the transmission line on different dates in the period;

[0045] Determine the risk-constituting date among the dates based on the composition ratio and renewable energy power generation;

[0046] The impact risk of node exceeding the limit in the time period is determined by the composition data of the new energy power generation of the access node on the risk-forming date.

[0047] Specifically, the risk-constituting date is the date when both the composition ratio and the renewable energy power generation do not meet the requirements. Specifically, the date when both the composition ratio and the renewable energy power generation are too high, that is, not within the preset range, is regarded as the risk-constituting date.

[0048] It is understandable that the impact risk of node over-limit in the period is determined by using the composition data of the renewable energy power generation of the access node on the risk-forming date, specifically including:

[0049] Based on the composition data of the renewable energy power generation of the access nodes on the risk-forming date, determining the access nodes whose proportion of renewable energy power generation in the transmission line is greater than a preset proportion threshold as fluctuation-affecting nodes;

[0050] The risk-constituting date when the proportion of fluctuation-affected nodes in the access nodes is greater than the preset proportion is taken as the impact date, and the proportion of the impact date in the date is taken as the node-over-limit impact risk of the time period.

[0051] It can be understood that the value range of the impact risk of node exceeding the limit in the said time period is between 0 and 1, wherein when the impact risk of node exceeding the limit in the said time period is not within the preset coefficient range, if the impact risk of node exceeding the limit in the said time period is greater than the preset coefficient threshold, then for both types of access nodes, the load fluctuation of the access point is suppressed by the energy storage device to keep it at the preset access power generation.

[0052] If the risk of node over-limit impact in the said period is greater than the preset coefficient threshold, then according to the monitoring data of the voltage in the transmission line, when there is voltage over-limit, the voltage control device of the transmission line is used to maintain the voltage stability of the transmission line.

[0053] In another embodiment, the method for determining the impact risk of node crossing the limit in the time period is:

[0054] Determine the composition ratio of the renewable energy power generation of the transmission line in the period and the renewable energy power generation on different dates based on the composition data of the renewable energy power generation of the transmission line in the period;

[0055] It can be understood that in the above steps, if the proportion of renewable energy power generation and the average value of renewable energy power generation of the transmission lines on different dates in the said period meet the requirements, it means that the renewable energy power generation in the said period is small. Therefore, when the power generation of the new energy equipment fluctuates at this time, the risk of the voltage of the transmission line exceeding the limit is small. Therefore, it can be determined that according to the monitoring data of the voltage in the transmission line during the said period, when the voltage exceeds the limit, the voltage control device of the transmission line is used to maintain the voltage stability of the transmission line.

[0056] In addition, it is explained that if any of the proportion of new energy power generation and the average value of new energy power generation of the transmission lines on different dates in the said period does not meet the requirements, then at this time, if the proportion of new energy power generation and the average value of new energy power generation of the transmission lines on different dates in the said period do not meet the requirements, then at this time, the risk of impact when the power generation of the new energy equipment fluctuates is relatively large. Therefore, it can be directly determined that for the second type of access nodes, the load fluctuations of the access points are suppressed by energy storage devices to keep them at the preset access power generation.

[0057] It should also be noted that whether the requirements are met can be determined by whether the average value of the composition ratio or the average value of the new energy power generation is within a preset range.

[0058] Determining a risk-constituting date among the dates based on the composition ratio and the renewable energy power generation, and determining, through the composition data of the renewable energy power generation of the access nodes on the risk-constituting date, an access node whose composition ratio of renewable energy power generation in the transmission line is greater than a preset ratio threshold, as a fluctuation-affecting node;

[0059] It is understandable that before proceeding to the next step, it is necessary to determine whether the proportion of the number of risky dates meets the requirements. Specifically, when the proportion of the number of risky dates is too large, that is, greater than a certain threshold, it means that due to the influence of weather data such as the amount of sunlight in the current period, the power generation on the current date is relatively large. Therefore, it can be directly determined that for both type II access nodes, the load fluctuations of the access points are suppressed through energy storage devices to keep them at the preset access power generation.

[0060] In addition, if the proportion of the number of risk dates meets the requirements, and at the same time there are no fluctuation-affecting nodes on different risk dates, it means that the power generation of different access nodes is relatively small. Therefore, on this basis, when load fluctuations occur at different access nodes, the probability of the impact on the voltage deviation of the overall transmission line is relatively small. In this case, based on the monitoring data of the voltage in the transmission line during the period, when the voltage exceeds the limit, the voltage control device of the transmission line can be used to maintain the voltage stability of the transmission line.

[0061] In addition, it should be noted that if the voltage control device of the transmission line cannot maintain the voltage stability of the transmission line, it is necessary to activate the energy storage device of the second-class access node with a power generation greater than the threshold, so as to ensure that the second-class access node with a power generation greater than the threshold maintains the preset access power generation.

[0062] Specifically, if there are fluctuation-affecting nodes on the risk date, the risk-affecting date on which the proportion of the number of fluctuation-affecting nodes in the access nodes is greater than the preset proportion is taken as the impact date. When the proportion of the number of impact dates in the date does not meet the requirement, that is, it is greater than a certain threshold, then it means that due to the influence of weather data such as the amount of sunlight in the current period, the power generation on the current date is large. Therefore, it can be directly determined that for both types of access nodes, the load fluctuations of the access points are suppressed through energy storage devices to keep them at the preset access power generation.

[0063] The preset access power generation of different access nodes is determined according to the preset control amount of the power generation of the access nodes, and only when the proportion of the impact dates in the dates meets the requirement, the impact risk of the node exceeding the limit in the time period is determined.

[0064] The impact risk of node crossing the limit in the period is determined based on the number of fluctuation-affected nodes in different risk-posing dates and the number of risk-posing dates.

[0065] In a possible embodiment, the risk of node exceeding the limit in the specific time period is determined based on the product of the average ratio of the number of fluctuation-affecting nodes in the access nodes on different risk-forming dates and the ratio of the number of risk-forming dates.

[0066] S2 determines the access types of different access nodes based on the composition data of the energy storage device of the new energy equipment, and determines the access nodes of interest based on the abnormal fluctuation data of the historical power generation of a type of access node in a time period and the power generation data;

[0067] Specifically, the method for determining the access type of the access node is:

[0068] When the access node has an energy storage device, it is regarded as a second-class access node; when the access node does not have an energy storage device, it is regarded as a first-class access node.

[0069] Specifically, such as Figure 3 As shown, the method for determining the access node of interest is:

[0070] determining, based on power generation data of a type of access nodes in the time period, an average power generation of the type of access nodes on different days in the time period;

[0071] Determine, based on the abnormal fluctuation data of the historical power generation of the access nodes of the type in the time period, an average value of the number of abnormal fluctuation moments of the access nodes of the type on different dates in the time period, and use the average fluctuation value as the average fluctuation quantity;

[0072] According to the average power generation and the average fluctuation amount, it is determined whether the access node of the type is a focused access node.

[0073] It can be understood that the abnormal fluctuation moment is the moment when the change in power generation compared to the previous moment does not meet the requirements, and whether the requirements are met is determined specifically based on whether it is greater than a preset change threshold.

[0074] It should also be noted that when the average power generation of the access node of a type is within a preset power generation range and the average fluctuation number is greater than a preset fluctuation number threshold, the access node of the type is determined to be a focus access node.

[0075] In another embodiment, the method for determining the access node of interest is:

[0076] Based on the power generation data of a type of access node in the time period, determine the historical power generation of the type of access node on different dates in the time period, and use dates with historical power generation within a preset power generation range as power generation focus dates;

[0077] Determining the number of abnormal fluctuation moments of the access nodes of the type in the period of the power generation focus date based on the abnormal fluctuation data of the historical power generation of the access nodes of the type in the period, and using the number as the fluctuation quantity;

[0078] Whether the access node of the first type is a focused access node is determined based on the number of fluctuations in the time period of the focused date of the power generation amount.

[0079] Specifically, when the number of power generation focus dates whose fluctuation number does not meet the requirement does not meet the requirement, the access node of the first type is determined as the focus access node.

[0080] S3 obtains similar situations of abnormal fluctuation trends of historical power generation of different access nodes of interest during the period, and proceeds to the next step when it is determined based on the similar situations that the fluctuation impact meets the requirements;

[0081] Specifically, such as Figure 4 As shown, it is determined that the impact of fluctuations meets the requirements, including:

[0082] Obtaining the number of the access nodes of interest;

[0083] Based on the similarity of abnormal fluctuation trends of historical power generation of different focused access nodes during the period, determining a moment when the fluctuation trends of abnormal fluctuations of different focused access nodes on different dates are consistent, and using the moment as the fluctuation consistency moment;

[0084] Whether the fluctuation impact situation meets the requirement is determined according to the number of concerned access nodes and the number of the fluctuation consistent moments in different dates.

[0085] It can be understood that when the power generation of all connected transmission lines increases or decreases, it is determined that the fluctuation trends are consistent.

[0086] Specifically, when the number of attention access nodes is greater than a preset attention node number threshold and the average number of the fluctuation consistent moments on different dates is greater than a preset consistent moment number threshold, it is determined that the fluctuation impact does not meet the requirements.

[0087] It is understandable that when the fluctuation impact does not meet the requirements, it means that the composition data of new energy equipment in different access nodes of concern are relatively similar. Therefore, on this basis, the probability of fluctuations occurring at the same time is relatively high. Therefore, on the basis of the existence of a certain risk of node exceeding the limit, it can be directly determined that the fluctuation impact does not meet the requirements. Therefore, during this period, for the second type of access nodes, the load fluctuations of the access points are suppressed through energy storage devices to keep them at the preset access power generation.

[0088] In another embodiment, determining that the fluctuation impact meets the requirements specifically includes:

[0089] Obtaining the number of the access nodes of interest, and based on similarities in abnormal fluctuation trends of historical power generation of different access nodes of interest during the time period, determining a moment at which fluctuation trends of abnormal fluctuations of different access nodes of interest on different dates are consistent, and using the moment as the fluctuation consistency moment;

[0090] Specifically, in the above steps, if the number of focused nodes is small, that is, less than the threshold, it can be determined that the fluctuation impact meets the requirements.

[0091] In addition, it should be noted that if the number of attention nodes is large, that is, greater than a certain attention number threshold, it can be determined that the fluctuation impact does not meet the requirements.

[0092] It should also be noted that if the number of nodes of interest is small, it is necessary to determine whether the average value of the number of fluctuating moments on different dates meets the requirements. Specifically, if the average value of the number of fluctuating moments on different dates does not meet the requirements, the risk of fluctuation impact is relatively large, so it can be directly determined that the fluctuation impact does not meet the requirements.

[0093] Even if the average value of the number of fluctuation-consistent moments on different dates meets the requirements, it is still necessary to determine whether there are dates on which the number of fluctuation-consistent moments does not meet the requirements, that is, dates on which the number of fluctuation-consistent moments is greater than the preset number. If such dates do not exist, it can be determined that the fluctuation impact meets the requirements. If such dates exist, proceed to the next step.

[0094] Obtaining constituent data of access nodes of interest having consistent fluctuation trends at different abnormal fluctuation moments for different access nodes of interest, determining the number of abnormal fluctuation moments that overlap between the access node of interest and different access nodes of interest, and determining a fluctuation correlation value between the nodes of interest based on the number of abnormal fluctuation moments;

[0095] It should also be noted that, in one possible embodiment, the fluctuation attention value between the attention nodes is determined according to the ratio of the number of abnormal fluctuation moments to the date.

[0096] In a possible embodiment, if the fluctuation correlation values ​​between different focus nodes are all less than the preset correlation threshold, it means that the composition of the new energy equipment between different focus nodes is not similar, so the risk of abnormal fluctuations occurring at the same time is small, and it can be directly determined that the fluctuation impact meets the requirements.

[0097] In addition, when there is a focus node whose fluctuation correlation value is not less than the preset correlation threshold, it is regarded as a strongly correlated node. When the number of strongly correlated nodes is large, that is, greater than a certain number threshold, it is determined that the fluctuation impact does not meet the requirements. In other cases, proceed to the next step.

[0098] Whether the fluctuation impact situation meets the requirements is determined based on the number of concerned access nodes and the fluctuation correlation values ​​between different concerned nodes.

[0099] In a possible embodiment, the sum of the fluctuation correlation values ​​of different attention nodes is determined based on the fluctuation correlation values ​​between different attention nodes and the number of attention access nodes. When the sum of the fluctuation correlation values ​​of the attention access nodes does not meet the requirements, that is, it is greater than a certain correlation threshold, it is determined that the fluctuation impact situation does not meet the requirements.

[0100] S4 determines a processing method for voltage control of the transmission line based on the transmission amount interval in which the transmission amount in the transmission line is located, according to the similarity of the abnormal fluctuation trends of the power generation of different first-class access nodes, and in combination with the similarity of the abnormal fluctuation trends of the power generation of the second-class access nodes and the first-class access nodes.

[0101] Specifically, the method for determining the processing method for voltage control of the transmission line is:

[0102] Based on the transmission amount interval in which the transmission amount in the transmission line is located, determining the transmission amount interval corresponding to the transmission line, and using it as the matching transmission amount interval;

[0103] Based on the similarity of abnormal fluctuation trends of power generation of different types of access nodes, the moments when the fluctuation trends of abnormal fluctuations of different types of access nodes are consistent are determined and regarded as a type of consistent moments;

[0104] According to the similarity of the abnormal fluctuation trends of the power generation of the second type of access nodes and the first type of access nodes, determining a moment at which the fluctuation trends of the second type of access nodes are consistent with the abnormal fluctuation moments of the first type of access nodes in the first type of consistent moments, and using the moment as the fluctuation matching moment;

[0105] The processing method for voltage control of the transmission line is determined based on the composition data of the matching transmission power interval and the power generation of the new energy equipment, the number of first-class consistent moments in the most recent preset time period, the number of fluctuation matching moments of the second-class access nodes and the power generation.

[0106] Specifically, the matching transmission power interval is the transmission power interval in which the transmission power falls most within the most recent preset time period.

[0107] Among them, when the matching transmission power interval is greater than the transmission power interval corresponding to the preset transmission power threshold, the transmission power at this time is relatively large. As long as the power generation of the new energy system fluctuates, there is a greater risk of exceeding the limit. Therefore, it can be directly determined that for both types of access nodes, the load fluctuations of the access points are suppressed by energy storage devices to maintain them within the preset access power generation. If the matching transmission power interval does not belong to the matching transmission power interval within the preset interval, the transmission power at this time is relatively small. Therefore, it can be directly determined based on the monitoring data of the voltage in the transmission line during the period. When there is a voltage exceeding the limit, the voltage control device of the transmission line is used to maintain the voltage stability of the transmission line.

[0108] If the matching transmission power interval belongs to the matching transmission power interval within the preset range, the transmission power at this time is not too small. Therefore, if the number of the first type of consistent moments does not meet the requirements, that is, it is greater than a certain number threshold, the fluctuation risk of the first type of access nodes at this time is relatively large. Therefore, it can be directly determined that the load fluctuations of the access points of the second type of access nodes are suppressed through energy storage devices to keep them within the preset access power generation.

[0109] When the number of a type of consistent moments is small, that is, less than the preset value of the consistent number, the fluctuation risk is too small. Therefore, it can be determined based on the monitoring data of the voltage in the transmission line during the period, when there is a voltage limit violation, the voltage control device of the transmission line is used to maintain the voltage stability of the transmission line.

[0110] In addition, if the number of first-class consistent moments meets the requirements but is not less than the consistent number threshold, it is also necessary to determine whether the number of fluctuation matching moments and power generation of different second-class access nodes do not meet the requirements. At this time, for the second-class access nodes that do not meet the requirements, the proportion of the number of fluctuation matching moments in the first-class consistent moments can be directly determined through the energy storage device as the fluctuation proportion. When the fluctuation proportion is greater than 0.6, it is determined that the energy storage device of the access node is used to store the power generation of the access point and the access point is no longer incorporated into the power grid. If the fluctuation proportion is below 0.6, the energy storage ratio of the access node's power generation is determined based on the fluctuation proportion, and the energy storage ratio of the access node's power generation is used to store the power generation of the access point, and the remaining power generation continues to be incorporated into the power grid.

[0111] It should also be noted that if the number of fluctuation matching moments of the second type of access nodes does not meet the requirements but the power generation meets the requirements, it is determined that the load fluctuations of the access points of the second type of access nodes are suppressed by using energy storage devices to maintain them at the preset access power generation. As long as the number of fluctuation matching moments of the second type of access nodes meets the requirements, there is no need to use energy storage devices to store the power generation.

[0112] Example 2

[0113] On the other hand, the present invention provides a computer system comprising: a memory and a processor in communication connection, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned method for voltage control of a transmission line considering the access of new energy when running the computer program.

[0114] The various embodiments in this specification are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the device, apparatus, and non-volatile computer storage medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simplified. For relevant details, refer to the descriptions of the method embodiments.

[0115] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0116] The foregoing description is merely one or more embodiments of this specification and is not intended to limit this specification. It will be apparent to those skilled in the art that various modifications and variations may be made to one or more embodiments of this specification. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of one or more embodiments of this specification are intended to be within the scope of the claims of this specification.

Claims

1. A voltage control method for a power transmission line considering the integration of new energy sources, characterized in that: Specifically include: When it is determined that the risk of node over-limit impact in the time period is within a preset coefficient range based on the composition data of the renewable energy power generation of the transmission line in different time periods and the composition data of the renewable energy power generation of the access nodes of the renewable energy equipment, the next step is entered; Determine the access types of different access nodes based on the composition data of the energy storage device of the new energy equipment, and determine the access nodes of interest based on the abnormal fluctuation data of the historical power generation of a type of access node in a time period and the power generation data; Obtaining similar situations of abnormal fluctuation trends of historical power generation of different access nodes of interest during the time period, and proceeding to the next step when determining based on the similar situations that the fluctuation impact meets the requirements; Determining a method for processing voltage control of the transmission line based on the transmission capacity interval within which the transmission capacity in the transmission line lies, according to similarities in abnormal fluctuation trends in power generation capacity of different first-class access nodes, and in combination with similarities in abnormal fluctuation trends in power generation capacity of second-class access nodes and first-class access nodes; The method for determining the access type of the access node is: When the access node has an energy storage device, it is regarded as a second-class access node; when the access node does not have an energy storage device, it is regarded as a first-class access node; The method for determining the processing method for voltage control of the transmission line is: Based on the transmission amount interval in which the transmission amount in the transmission line is located, determining the transmission amount interval corresponding to the transmission line, and using it as the matching transmission amount interval; Based on the similarity of abnormal fluctuation trends of power generation of different types of access nodes, the moments when the fluctuation trends of abnormal fluctuations of different types of access nodes are consistent are determined and regarded as a type of consistent moments; According to the similarity of the abnormal fluctuation trends of the power generation of the second type of access nodes and the first type of access nodes, determining a moment at which the fluctuation trends of the second type of access nodes are consistent with the abnormal fluctuation moments of the first type of access nodes in the first type of consistent moments, and using the moment as the fluctuation matching moment; The processing method for voltage control of the transmission line is determined based on the composition data of the matching transmission power interval and the power generation of new energy, the number of first-class consistent moments in the most recent preset time period, the number of fluctuation matching moments of second-class access nodes and the power generation of second-class access nodes.

2. The voltage control method for a power transmission line considering the integration of new energy sources according to claim 1, characterized in that: The composition data of the renewable energy power generation includes the proportion of renewable energy power generation in the transmission line and the renewable energy power generation.

3. The voltage control method for a power transmission line considering the integration of new energy sources according to claim 1, characterized in that: The composition data of the renewable energy power generation is determined according to the renewable energy power generation of the transmission line on different dates.

4. The voltage control method for a power transmission line considering the integration of new energy sources according to claim 1, characterized in that: The method for determining the impact risk of node exceeding the limit in the time period is: Determining the composition ratio of renewable energy power generation of the transmission line in the period based on the composition data of renewable energy power generation of the transmission line on different dates in the period; Determine the risk-constituting date among the dates based on the composition ratio and renewable energy power generation; The impact risk of node over-limit in the time period is determined by the composition data of the new energy power generation of the access node on the risk-forming date.

5. The voltage control method for a power transmission line considering the integration of new energy sources as claimed in claim 4, characterized in that: The risk-posing date is the date when both the composition ratio and the new energy power generation do not meet the requirements.

6. The voltage control method for a power transmission line considering the integration of new energy sources according to claim 1, characterized in that: The method for determining the access node of interest is: determining, based on power generation data of a type of access nodes in the time period, an average power generation of the type of access nodes on different days in the time period; Determine, based on the abnormal fluctuation data of the historical power generation of the access nodes of the type in the time period, an average value of the number of abnormal fluctuation moments of the access nodes of the type on different dates in the time period, and use the average fluctuation value as the average fluctuation quantity; According to the average power generation and the average fluctuation amount, it is determined whether the access node of the type is a focused access node.

7. The voltage control method for a power transmission line considering the integration of new energy sources according to claim 6, characterized in that: The abnormal fluctuation time is a time when the amount of change in power generation compared to the previous time does not meet the requirement.

8. A computer system comprising: A memory and a processor in communication connection, and a computer program stored in the memory and capable of running on the processor, characterized in that when the processor runs the computer program, it executes the voltage control method for a transmission line considering the access of new energy as described in any one of claims 1-7.

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