New energy development potential assessment method and system and storage medium

Abstract

The invention provides a new energy development potential assessment method and system and a storage medium, and belongs to the technical field of new energy assessment, and the method specifically comprises the steps: determining the operation load data of a target power transmission line in different illumination quantity intervals, and determining a risk interval in the illumination quantity interval by combining the matching condition of the operation data of the power transmission equipment under different operation loads and the rated operation data, and when the illumination quantity interval is not in the risk interval, determining the risk interval of the power transmission equipment based on the harmonic injection data of the access nodes of different distributed photovoltaic power generation fields in the illumination quantity interval. Determining a harmonic injection risk interval in the illumination quantity interval, and determining the new energy development potential evaluation processing method under different wind power change conditions in the harmonic injection risk interval according to distribution discrete data of harmonic injection conditions of different access nodes in the harmonic injection risk interval. And the evaluation processing accuracy of the new energy development potential is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of new energy assessment, and in particular relates to a new energy development potential assessment method, system and storage medium. Background Art

[0002] In order to evaluate the potential for new energy development and thus determine whether new energy development is necessary, existing technical solutions often focus on the amount of sunlight or wind resources in the development area to evaluate the development potential. Specifically, a similar technical solution is provided in invention patent application CN202310776747.5 "A Method for Evaluating the Developable Amount of New Energy". However, the above technical solution has the following technical problems: In the process of evaluating and analyzing the potential for new energy development, for transmission lines used for external transmission, if a large number of photovoltaic power plants are connected to the transmission lines, in some cases, the harmonic injection content in the transmission lines may be high. When the harmonic injection content is high, existing technical solutions often require capacity limiting of the power generation of the access nodes of the wind farm. Therefore, how to determine differentiated evaluation and processing strategies for new energy development potential based on the degree of distribution dispersion of harmonic injection data of different access nodes under the condition of light intensity with harmonic injection risks has become a technical problem that needs to be solved urgently.

[0003] To solve the above technical problems, the present application provides a new energy development potential assessment method, system and storage medium. Summary of the Invention

[0004] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: Specifically, the application provides a new energy development potential assessment method, including: S1 takes the transmission line connected to the wind farm to be built as the target transmission line, and proceeds to the next step when it is necessary to consider the light data based on the distribution data of the access nodes of the distributed photovoltaic power plant in the target transmission line and the access capacity of different access nodes; S2: determining operating load data of the target transmission line under different light intensity intervals, and determining a risk interval in the light intensity interval based on matching between the operating data of the transmission equipment under different operating loads and the rated operating data; S3: when the illumination interval is not within the risk interval, determining a harmonic injection risk interval in the illumination interval based on harmonic injection data of access nodes of different distributed photovoltaic power plants within the illumination interval; S4 determines an evaluation method for new energy development potential under different wind power variations within the harmonic injection risk interval based on the distributed discrete data of harmonic injection conditions of different access nodes within the harmonic injection risk interval.

[0005] A further technical solution is that the distribution data of the access nodes of the distributed photovoltaic power plant includes the number of the access nodes of the distributed photovoltaic power plant.

[0006] A further technical solution is that the access capacity of the access node includes the Internet access power of different access nodes.

[0007] A further technical solution is that the online power consumption is the maximum value of the power generation of the target power transmission line under different light intensities.

[0008] A further technical solution is to determine whether the lighting data needs to be considered, including: Determining the number of photovoltaic access nodes in the target transmission line based on the distribution data of access nodes of the distributed photovoltaic power generation field in the target transmission line; Determine the online power consumption of different photovoltaic access nodes based on their access capacity; The total online power is determined based on the sum of the online power of different access nodes, and whether the light data needs to be considered is determined based on the total online power.

[0009] A further technical solution is that when the total online power is greater than a preset power threshold, it is determined that the light data needs to be considered.

[0010] A further technical solution is that the method for determining the evaluation and processing method of the new energy development potential under different wind power fluctuations within the harmonic injection risk range is: Determining access nodes with harmonic injection based on the distributed discrete data of harmonic injection conditions of different access nodes within the harmonic injection risk interval, and using them as harmonic injection nodes; determining harmonic injection amounts of different harmonic injection nodes according to harmonic injection data of different harmonic injection nodes within the illumination amount interval; Based on the proportion of the harmonic injection amount of different harmonic injection nodes in the total harmonic injection amount and the number of harmonic injection nodes, an evaluation and processing method for the new energy development potential under different wind power changes within the harmonic injection risk range is determined.

[0011] On the other hand, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned method for evaluating the potential for new energy development when running the computer program.

[0012] On the other hand, the present invention provides a computer storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to execute the above-mentioned method for evaluating the potential for new energy development.

[0013] The beneficial effects of the present invention are: Based on the operating load data of the target transmission line in different light intensity intervals and the matching between the operating data of the transmission equipment under different operating loads and the rated operating data, the risk interval in the light intensity interval is determined, fully considering the differences in the operating load of the transmission line caused by the differences in light intensity, and then realizing the determination of the remaining grid-connected capacity of the transmission line in different light intensity intervals based on the deviation between the operating load and the rated load of the transmission equipment, which also lays the foundation for determining the differentiated new energy development potential based on the differences in the remaining grid-connected capacity.

[0014] Based on the distributed discrete data of harmonic injection conditions at different access nodes within the harmonic injection risk interval, an evaluation and processing method for the new energy development potential under different wind force variations within the harmonic injection risk interval is determined, thereby realizing the evaluation of the harmonic size of the transmission line within different illumination intervals and the uniformity of the harmonic injection conditions at different access nodes. The difference in the possibility of grid connection of wind farms through the grid-connected capacity of photovoltaic power plants with limited capacity caused by the discrete degree of harmonic injection conditions is fully considered, ensuring the reliability of the evaluation and processing of the new energy development potential under conditions such as large harmonic injection amounts and relatively dispersed distribution of harmonic injection amounts. The limitation of transmission line restrictions on the grid-connected amount of new energy under different harmonic injection conditions is fully considered, thereby improving the reliability of the evaluation and processing of the development potential.

[0015] 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.

[0016] 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

[0017] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the accompanying drawings.

[0018] Figure 1 It is a flow chart of a method for evaluating the potential of new energy development; Figure 2It is a flow chart to determine the method that needs to take lighting data into account; Figure 3 is a flow chart of a method for determining a risk interval in a light exposure interval; Figure 4 This is a flowchart of a method for determining a harmonic injection risk interval in a light intensity interval. DETAILED DESCRIPTION

[0019] 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.

[0020] 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.

[0021] Example 1 To solve the above problems, according to one aspect of the present invention, Figure 1 As shown in FIG, a new energy development potential assessment method is provided, which specifically includes: S1 takes the transmission line connected to the wind farm to be built as the target transmission line, and proceeds to the next step when it is necessary to consider the light data based on the distribution data of the access nodes of the distributed photovoltaic power plant in the target transmission line and the access capacity of different access nodes; Furthermore, the distribution data of the access nodes of the distributed photovoltaic power generation field includes the number of the access nodes of the distributed photovoltaic power generation field.

[0022] Specifically, the access capacity of the access node includes the Internet access power of different access nodes.

[0023] It can be understood that the online power consumption is the maximum power generation amount of the target power transmission line under different light intensities.

[0024] Specifically, such as Figure 2 As shown, it is necessary to consider the lighting data, including: Determining the number of photovoltaic access nodes in the target transmission line based on the distribution data of access nodes of the distributed photovoltaic power generation field in the target transmission line; Determine the online power consumption of different photovoltaic access nodes based on their access capacity; The total online power is determined based on the sum of the online power of different access nodes, and whether the light data needs to be considered is determined based on the total online power.

[0025] It is understandable that when the total Internet power is greater than the preset power threshold, it is determined that the light data needs to be considered.

[0026] It should also be noted that when there is no need to consider the light data, the wind resources within different light intensity ranges have development potential. Specifically, the new energy power generation under the historical wind monitoring data is determined based on the historical wind monitoring data, and the new energy development potential is determined based on the new energy power generation.

[0027] In another possible embodiment, determining whether illumination data needs to be considered specifically includes: Determining the number of photovoltaic access nodes in the target transmission line based on the distribution data of access nodes of the distributed photovoltaic power generation field in the target transmission line; Determine the online power consumption of different photovoltaic access nodes based on their access capacity; The total online power is determined based on the sum of the online power of different access nodes, and whether the light data needs to be considered is determined in combination with the average value of the operating load of the target transmission line excluding the photovoltaic access node.

[0028] It can be understood that when the sum of the total online power and the average value of the operating load of the target transmission line excluding the photovoltaic access node, divided by the rated operating load of the target transmission line, is greater than 0.8, it is determined that the light data needs to be considered.

[0029] S2: determining operating load data of the target transmission line under different light intensity intervals, and determining a risk interval in the light intensity interval based on matching between the operating data of the transmission equipment under different operating loads and the rated operating data; Furthermore, the operating load data includes the number of time periods under different operating loads.

[0030] Optionally, the matching condition between the operating data of the power transmission device and the rated operating data is determined according to the deviation between the operating power of the power transmission device and the rated operating power.

[0031] It can be understood that the light intensity intervals are divided into equal intervals according to the preset light intensity threshold.

[0032] Specifically, such as Figure 3 As shown, the method for determining the risk interval in the light intensity interval is: Determine, based on the operating load data of the target transmission line in the light intensity interval, the time periods when the transmission line is under different operating loads in the light intensity interval, and use the time periods as load matching time periods; Determining a deviation between the operating power of the power transmission equipment and the rated operating power based on a matching condition between the operating data of the power transmission equipment under different operating loads and the rated operating data, and determining the risk of operating the power transmission equipment under different operating loads based on the deviation; Whether the light intensity interval is a risk interval is determined based on the risky operation of the power transmission equipment under different operation loads and the number of load matching periods.

[0033] It should be noted that the risky operation transmission equipment is the transmission equipment whose deviation is less than the preset deviation.

[0034] It can be understood that when the total number of load matching periods corresponding to the operating load in which the number of risky operating power transmission devices does not meet the requirements is greater than the preset matching period number threshold, the light intensity interval is determined to be a risk interval, wherein when the number of risky operating power transmission devices is greater than the preset transmission equipment number threshold, it is determined that the number of risky operating power transmission devices does not meet the requirements.

[0035] It should be noted that the operating load is divided according to the transmission power range of the target transmission line, wherein the load matching period is the period when the transmission power is within the transmission power range corresponding to the operating load, and the transmission power range is divided at equal intervals according to the transmission power of the target transmission line.

[0036] It should also be noted that when the light intensity interval is a risk interval, since the load rate of the target transmission line within the light intensity interval is too large, the probability of restricted access to the Internet is relatively high. Therefore, the evaluation and processing method for determining the new energy development potential under the light intensity is that there is no development potential for wind resources under the light intensity.

[0037] In another possible embodiment, the method for determining the risk interval in the light intensity interval is: S21: obtaining deviations between the operating power and the rated operating power of different power transmission devices of the target power transmission line in the light intensity interval, and determining interval matching risk devices in the light intensity interval based on the deviations; It can be understood that the interval matching risk device is a power transmission device whose deviation in the illumination interval is less than the preset deviation and whose accumulated operation time is greater than the preset time threshold.

[0038] It should be noted that in the above steps, if there is no interval matching risk equipment in the light intensity interval or the number of interval matching risk equipment is within the target range, it means that the operation stability in the light intensity interval at this time is relatively high, and the operation stability of the power transmission equipment is relatively high. Therefore, on this basis, it can be determined that the light intensity interval does not belong to the risk interval.

[0039] It should also be further explained that when the number of interval-matching risk devices in the light intensity interval is not within the target range, if the number of interval-matching risk devices in the light intensity interval is large, that is, greater than the device number threshold, this indicates that the operating stability of the power transmission equipment in the light intensity interval is poor, and therefore it can be determined that the light intensity interval belongs to a risk interval.

[0040] In addition, if the number of interval matching risk devices in the light intensity interval is small, proceed to the next step.

[0041] S22: using the operating load data of the target transmission line in the illumination interval, determining time periods of the transmission line under different operating loads in the illumination interval, and using the time periods as load matching time periods; determining matching operating loads under the operating loads according to the number of load matching time periods; determining deviations between the operating power of the transmission equipment and the rated operating power according to matching conditions between the operating data of the transmission equipment under different matching operating loads and the rated operating data; and determining risky operation of the transmission equipment under different matching operating loads based on the deviations; It should also be noted that the matching operating load is an operating load in which the number of load matching periods within the illumination range accounts for more than 0.3.

[0042] It can be understood that in the above steps, if the number of risky operating transmission equipment does not meet the required matching operating load, that is, the number of risky operating transmission equipment is greater than the matching operating load of the preset number of risky equipment, it means that the operating stability of the transmission equipment in the said light intensity range is poor, so it can be directly determined that the said light intensity range belongs to the risk range.

[0043] In another possible embodiment, if there is no matching operation load where the number of risky operation transmission devices does not meet the requirements, it is necessary to further determine whether the number of risky operation transmission devices under different matching operation loads is within a preset number range. When the number of risky operation transmission devices under different matching operation loads is within the preset number range, it means that the number of risky operation transmission devices under different matching operation loads is small. Therefore, on this basis, it can be directly determined that the light intensity interval does not belong to the risk interval. In other cases, the process proceeds to step S23.

[0044] S23 determines whether the illumination interval is a risk interval based on the number of risky operating power transmission devices under different matching operating loads and the number of interval matching risk devices.

[0045] It can be understood that in a possible embodiment, the operating risk value of the light intensity interval is determined based on the number of risky operating transmission equipment under different matching operating loads and the number of interval matching risk equipment, and when the operating risk value is greater than the preset risk threshold, the light intensity interval is determined to be a risk interval.

[0046] It should be further explained that after the operation risk value is deduplicated according to the risk operation transmission equipment and interval matching risk equipment under different matching operation loads, the equipment with duplicate risk operation transmission equipment and interval matching risk equipment is eliminated to obtain the target risk equipment, and the operation risk value of the illumination interval is determined according to the number of target risk equipment.

[0047] S3: when the illumination interval is not within the risk interval, determining a harmonic injection risk interval in the illumination interval based on harmonic injection data of access nodes of different distributed photovoltaic power plants within the illumination interval; Furthermore, the harmonic injection data of the access node of the distributed photovoltaic power plant includes the number of time periods in which harmonic injection occurs at the access node and the amount of harmonic injection.

[0048] Specifically, such as Figure 4 As shown, the method for determining the harmonic injection risk interval in the light intensity interval is: Determine the harmonic injection risk interval in the illumination interval based on the harmonic injection data of the access nodes of different distributed photovoltaic power plants within the illumination interval Determining access nodes with harmonic injection based on the harmonic injection data of access nodes of different distributed photovoltaic power plants within the illumination interval, and using the access nodes as harmonic injection nodes; determining harmonic injection amounts of different harmonic injection nodes according to harmonic injection data of different harmonic injection nodes within the illumination amount interval; Based on the harmonic injection amounts of different harmonic injection nodes, it is determined whether the illumination amount interval is a harmonic injection risk interval.

[0049] It should be noted that the harmonic injection amount is an average value of the harmonic injection amount when harmonic injection occurs at the harmonic injection node within the illumination amount interval.

[0050] Furthermore, when the sum of the harmonic injection amounts of different harmonic injection nodes is greater than a preset injection amount threshold, the illumination amount interval is determined to be a harmonic injection risk interval.

[0051] It should also be noted that when the light intensity interval does not belong to the harmonic injection risk interval, the wind resources within the light intensity interval have development potential. Specifically, the new energy power generation under the historical wind monitoring data within the light intensity interval is determined based on the historical wind monitoring data, and the new energy development potential is determined based on the new energy power generation.

[0052] S4 determines an evaluation method for new energy development potential under different wind power variations within the harmonic injection risk interval based on the distributed discrete data of harmonic injection conditions of different access nodes within the harmonic injection risk interval.

[0053] Furthermore, the method for determining the evaluation and processing method of the new energy development potential under different wind power fluctuation conditions within the harmonic injection risk range is as follows: Determining access nodes with harmonic injection based on the distributed discrete data of harmonic injection conditions of different access nodes within the harmonic injection risk interval, and using them as harmonic injection nodes; determining harmonic injection amounts of different harmonic injection nodes according to harmonic injection data of different harmonic injection nodes within the illumination amount interval; Based on the proportion of the harmonic injection amount of different harmonic injection nodes in the total harmonic injection amount and the number of harmonic injection nodes, an evaluation and processing method for the new energy development potential under different wind power changes within the harmonic injection risk range is determined.

[0054] Specifically, the total amount of harmonic injection is the sum of the harmonic injection amounts of different harmonic injection nodes.

[0055] It should be noted that when the total amount of harmonic injection of different harmonic injection nodes is greater than a preset injection amount threshold, it can be directly determined that the wind resources within the harmonic injection risk interval have no development potential.

[0056] It can be understood that if the total amount of harmonic injection of different harmonic injection nodes is not greater than the preset injection amount threshold, and if the proportion of the harmonic injection amounts of different harmonic injection nodes in the total harmonic injection amount is less than the preset proportion threshold, it means that the distribution of the harmonic injection amounts of different harmonic injection nodes at this time is relatively discrete. On this basis, it is impossible to effectively reduce the harmonic injection amount by not connecting certain harmonic injection nodes to the grid. Therefore, on this basis, the wind resources within the harmonic injection risk range do not have development potential.

[0057] In addition, it needs to be further explained that when there are harmonic injection nodes whose harmonic injection amount accounts for no less than the preset proportion threshold in the total harmonic injection amount, it is necessary to determine the number of harmonic injection nodes whose harmonic injection amount accounts for no less than the preset proportion threshold in the total harmonic injection amount. When the number of harmonic injection nodes whose harmonic injection amount accounts for no less than the preset proportion threshold in the total harmonic injection amount is large, that is, greater than the preset node number threshold, it can be directly determined that the wind resources within the harmonic injection risk interval have no development potential.

[0058] It can also be understood that when the number of harmonic injection nodes whose harmonic injection amount accounts for no less than a preset proportion threshold in the total harmonic injection amount is small, after excluding the harmonic injection node whose harmonic injection amount accounts for the largest proportion in the total harmonic injection amount, the total harmonic injection amount of the remaining harmonic injection nodes in the target transmission line is determined. When the total harmonic injection amount of the remaining harmonic injection nodes in the target transmission line does not meet the requirements, that is, it is greater than the preset harmonic threshold, it can be directly determined that the wind resources in the harmonic injection risk interval have no development potential.

[0059] If the total harmonic injection amount of the remaining harmonic injection nodes in the target transmission line meets the requirements, the harmonic injection data under different wind change conditions will be used as the basis, and the historical wind monitoring data that the harmonic injection data meets the total harmonic injection amount of the remaining harmonic injection nodes will be used as the basis to determine the new energy power generation under the historical wind monitoring data within the illumination range, and the new energy development potential will be determined based on the new energy power generation.

[0060] The harmonic injection data under different wind force variation conditions is determined according to the harmonic injection amounts within different wind force variation intervals. Specifically, the period in which the variation between different moments and the previous moment falls within the wind force variation interval is taken as the variation matching period. The harmonic injection data is determined according to the average value of the harmonic injection amounts of other wind farms whose deviation from the installed capacity of the wind farm to be built in the variation matching period meets the requirements. Specifically, when the deviation of the installed capacity is less than the preset deviation value, it is determined that the deviation from the installed capacity of the wind farm to be built meets the requirements.

[0061] When the sum of the harmonic injection amount and the total harmonic injection amount of the remaining harmonic injection nodes is less than the preset harmonic injection amount threshold, it is determined that the harmonic injection data under the wind power variation condition meets the total harmonic injection amount requirement of the remaining harmonic injection nodes.

[0062] In another possible embodiment, the method for determining the evaluation and processing method of the new energy development potential under different wind power fluctuation conditions within the harmonic injection risk interval is: S41, the distribution discrete data of the harmonic injection conditions of different access nodes within the harmonic injection risk interval is determined, the access nodes with harmonic injection are determined as harmonic injection nodes, and the harmonic injection amounts of different harmonic injection nodes are determined according to the harmonic injection data of different harmonic injection nodes within the light amount interval; It can be understood that in the above step, when the total harmonic injection amount of different harmonic injection nodes is greater than the preset injection amount threshold, it can be directly determined that the wind power resource within the harmonic injection risk interval does not have development potential at this time.

[0063] If the total harmonic injection amount of different harmonic injection nodes is greater than the preset injection amount threshold, the number of harmonic injection nodes is greater than the injection node number threshold, and the total harmonic injection amount of different harmonic injection nodes is within the preset range at this time, it is determined that the number of harmonic injection nodes is large and the total harmonic injection amount is large, and therefore the wind power resource within the harmonic injection risk interval can be directly determined to have no development potential, and otherwise the next step is entered.

[0064] S42, the proportion of different harmonic injection nodes in the total harmonic injection amount is determined based on the harmonic injection amount of different harmonic injection nodes, and the high proportion node is determined based on the proportion. In addition, it should be noted that in the above step, if the total harmonic injection amount of different harmonic injection nodes is not greater than the preset injection amount threshold, if the proportion of the harmonic injection amount of different harmonic injection nodes in the total harmonic injection amount is less than the preset proportion threshold at this time, it is determined that the distribution of the harmonic injection amount of different harmonic injection nodes is relatively discrete at this time, and therefore some harmonic injection nodes cannot be processed by off-grid to effectively reduce the harmonic injection amount, and therefore the wind power resource within the harmonic injection risk interval does not have development potential.

[0065] In addition, it should be further noted that when there is a harmonic injection node with a harmonic injection amount proportion in the total harmonic injection amount that is not less than the preset proportion threshold, the number of harmonic injection nodes with a harmonic injection amount proportion in the total harmonic injection amount that is not less than the preset proportion threshold, i.e. the high proportion node, is determined, and when the number of harmonic injection nodes with a harmonic injection amount proportion in the total harmonic injection amount that is not less than the preset proportion threshold is greater than the preset node number threshold, it can be directly determined that the wind power resource within the harmonic injection risk interval does not have development potential.

[0066] It can also be understood that when the number of harmonic injection nodes whose harmonic injection amount accounts for no less than a preset proportion threshold in the total harmonic injection amount is small, after excluding the harmonic injection node whose harmonic injection amount accounts for the largest proportion in the total harmonic injection amount, the total harmonic injection amount of the remaining harmonic injection nodes in the target transmission line is determined. When the total harmonic injection amount of the remaining harmonic injection nodes in the target transmission line does not meet the requirements, that is, it is greater than the preset harmonic threshold, it can be directly determined that the wind resources in the harmonic injection risk interval have no development potential.

[0067] S43 determines an evaluation and processing method for the new energy development potential under different wind power variations within the harmonic injection risk interval according to the number of high-proportion nodes and the proportion of harmonic injection amounts of the harmonic injection nodes.

[0068] If the total harmonic injection amount of the remaining harmonic injection nodes in the target transmission line meets the requirements, the harmonic injection data under different wind change conditions are used as the basis, and the historical wind monitoring data that the harmonic injection data meets the total harmonic injection amount of the remaining harmonic injection nodes is used as the basis, to determine the new energy power generation under the historical wind monitoring data within the illumination range, and the new energy development potential is determined based on the new energy power generation.

[0069] Example 2 On the other hand, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned method for evaluating the potential for new energy development when running the computer program.

[0070] Example 3 On the other hand, the present invention provides a computer storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to execute the above-mentioned method for evaluating the potential for new energy development.

[0071] 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.

[0072] 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.

[0073] 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 method for evaluating the potential of new energy development, characterized in that: Specifically include: The transmission line connected to the wind farm to be built is used as the target transmission line. When the distribution data of the access nodes of the distributed photovoltaic power plant in the target transmission line and the access capacity of different access nodes need to be determined based on the light data, the next step is entered; Determining operating load data of the target transmission line under different light intensity intervals, and determining a risk interval in the light intensity interval based on matching between operating data of the transmission equipment under different operating loads and rated operating data; When the illumination interval is not within the risk interval, determining a harmonic injection risk interval in the illumination interval based on harmonic injection data of access nodes of different distributed photovoltaic power plants within the illumination interval; An evaluation method for new energy development potential under different wind power variation conditions within the harmonic injection risk interval is determined based on the distributed discrete data of harmonic injection conditions of different access nodes within the harmonic injection risk interval.

2. The new energy development potential assessment method according to claim 1, wherein: The distribution data of the access nodes of the distributed photovoltaic power generation field includes the number of the access nodes of the distributed photovoltaic power generation field.

3. The new energy development potential assessment method according to claim 1, wherein: The access capacity of the access node includes the Internet access power of different access nodes.

4. The new energy development potential assessment method according to claim 1, wherein: Determine if lighting data needs to be considered, including: Determining the number of photovoltaic access nodes in the target transmission line based on the distribution data of access nodes of the distributed photovoltaic power generation field in the target transmission line; Determine the online power consumption of different photovoltaic access nodes based on their access capacity; The total online power is determined based on the sum of the online power of different access nodes, and whether the light data needs to be considered is determined based on the total online power.

5. The new energy development potential assessment method according to claim 4, characterized in that: When the total Internet power is greater than a preset power threshold, it is determined that the light data needs to be considered.

6. The new energy development potential assessment method according to claim 1, wherein: The operating load data includes the number of time periods at different operating loads.

7. The new energy development potential assessment method according to claim 1, wherein: The method for determining the harmonic injection risk interval in the light intensity interval is: Determining access nodes with harmonic injection based on harmonic injection data of access nodes of different distributed photovoltaic power plants within the illumination interval, and using them as harmonic injection nodes; determining harmonic injection amounts of different harmonic injection nodes according to harmonic injection data of different harmonic injection nodes within the illumination amount interval; Based on the harmonic injection amounts of different harmonic injection nodes, it is determined whether the illumination amount interval is a harmonic injection risk interval.

8. The new energy development potential assessment method according to claim 1, wherein: The method for determining the evaluation and processing method of the new energy development potential under different wind power fluctuations within the harmonic injection risk range is as follows: Determining access nodes with harmonic injection based on the distributed discrete data of harmonic injection conditions of different access nodes within the harmonic injection risk interval, and using them as harmonic injection nodes; determining harmonic injection amounts of different harmonic injection nodes according to harmonic injection data of different harmonic injection nodes within the illumination amount interval; Based on the proportion of the harmonic injection amount of different harmonic injection nodes in the total harmonic injection amount and the number of harmonic injection nodes, an evaluation and processing method for the new energy development potential under different wind power changes within the harmonic injection risk range is determined.

9. 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, a method for evaluating the potential for new energy development according to any one of claims 1 to 8 is executed.

10. A computer storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to execute the method for evaluating the potential for new energy development according to any one of claims 1 to 8.

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