Photovoltaic absorption processing method and system based on transformer area energy storage

Abstract

The invention provides a photovoltaic consumption processing method and system based on transformer area energy storage, and belongs to the technical field of optimal scheduling, and the method specifically comprises the steps: determining the voltage change data of different power consumers based on the distribution data when the load of a photovoltaic device in a power distribution transformer area fluctuates, and employing the voltage change data to determine the voltage of the power consumers; determining associated photovoltaic devices of different power consumers according to the voltage real-time monitoring data of the power consumers, and determining voltage deviation consumers based on the voltage real-time monitoring data of the power consumers when it is determined that adjustment processing does not need to be carried out by adopting a preset adjustment strategy according to output change conditions of the associated photovoltaic devices of the different power consumers; the management prediction duration of the voltage deviation users of the transformer area energy storage device under different adjustment processing strategies is determined, the energy storage adjustment strategy of the transformer area energy storage device is determined in combination with the output change conditions of the associated photovoltaic devices of the different voltage deviation users, and the reliability of energy storage adjustment of the power distribution transformer area is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of optimal scheduling, and particularly relates to a method and system for photovoltaic accommodation processing based on substation area energy storage. Background Art

[0002] A substation area refers to the power supply range or area of a transformer in a power system. Substation area energy storage refers to an energy storage system installed in a distribution substation area for dynamic capacity expansion, suppressing load fluctuations, and smoothing the output of new energy power generation within the substation area, which can make the entire substation area become a stable load or power source, improving power quality and grid security.

[0003] Therefore, in order to achieve the photovoltaic accommodation processing of the distribution substation area, in the invention patent application CN202411618818.X, "A Method, Device, Electronic Equipment and Product for Voltage Regulation in a Distributed Photovoltaic Substation Area", relying on the energy storage device and photovoltaic inverter in the substation area energy storage system in the distribution network, the voltage at the photovoltaic grid connection point is quickly adjusted, which can solve the problem that the access of the distributed photovoltaic power generation system to the distribution network will cause abnormal voltage deviation, resulting in voltage over-limit. However, there are the following technical problems: When using the substation area energy storage device for the accommodation processing of the photovoltaic device, during the energy storage regulation process of the substation area energy storage device, there may be a situation where the voltage of the power user is secondarily over-limit due to the output fluctuation of the photovoltaic device. Therefore, if the above problems are ignored, the reliability of the photovoltaic accommodation processing cannot be guaranteed.

[0004] In view of the above technical problems, specifically, the present application provides a method and system for photovoltaic accommodation processing based on substation area energy storage. Summary of the Invention

[0005] To achieve the object of the present invention, the present invention adopts the following technical solutions: In a first aspect, the present application provides a method for photovoltaic accommodation processing based on substation area energy storage, specifically including: S1 When it is determined that the substation area energy storage device of the distribution substation area does not require adjustment by a preset adjustment strategy according to the distance interval between different types of power users and the distribution line of the substation area energy storage device, proceed to the next step; S2 Based on the distribution data, determine the voltage change data of different power users when the photovoltaic device in the distribution substation area fluctuates under load, and use the voltage change data to determine the associated photovoltaic devices of different power users; S3 When it is determined that no preset adjustment strategy is required for adjustment according to the output change of the associated photovoltaic devices of different power users, determine the voltage deviation users based on the real-time voltage monitoring data of the power users; S4 determines the predicted duration of the management of voltage deviation users under different regulation processing strategies of the energy storage device in the substation, and determines the energy storage regulation strategy of the energy storage device in the substation in combination with the output changes of the photovoltaic devices associated with different voltage deviation users.

[0006] The beneficial effects of the present invention are: Based on the distances between different types of power users and the distribution lines of the substation energy storage devices, it is determined whether the substation energy storage devices in the distribution station need to be adjusted using a preset adjustment strategy. This not only takes into account the differences in the degree of demand for voltage stability due to the differences in the types of power users, but also takes into account the differences in the reliability of the adjustment processing of the substation energy storage devices due to the differences in the distances from the distribution lines of the substation energy storage devices. This achieves the screening of distribution stations with more dispersed distribution and higher voltage stability, thereby ensuring the voltage stability and reliability of the above-mentioned distribution stations.

[0007] The energy storage regulation strategy of the substation energy storage device is determined based on the predicted governance time of voltage deviation users under different regulation processing strategies of the substation energy storage device and the output changes of the associated photovoltaic devices of different voltage deviation users. Full consideration is given to the difference in the probability of secondary voltage deviation of power deviation users of the substation energy storage device under different regulation processing strategies caused by the change in the output of the photovoltaic device during the governance processing due to the difference in the governance prediction time. The energy storage regulation strategy is determined in a targeted manner, thereby ensuring the reliability of energy storage regulation in the distribution station area.

[0008] A further technical solution is that the types of electricity users include hospitals, schools, government agencies, residential users, industrial users and commercial users.

[0009] A further technical solution is that the distance interval of the distribution lines includes the number and interval distance of the distribution lines between different power users and the substation energy storage device.

[0010] A further technical solution is to determine that the energy storage device in the distribution station area does not need to be adjusted by a preset adjustment strategy, which specifically includes: Determine the distance between different types of power users and the distribution lines of the energy storage device in the substation based on the distance between different types of power users and the distribution lines of the energy storage device in the substation; Determining a remote regulation power user among the power users by using the separation distance; According to the types of remote adjustable power users, different voltage deviation impact factors of remote adjustable power users are determined. Based on the sum of the voltage deviation impact factors of different remote adjustable power users, an adjustment deviation factor is determined. Whether the substation energy storage device of the distribution substation area needs to be adjusted by a preset adjustment strategy is determined according to the adjustment deviation factor.

[0011] A further technical solution lies in that the remote adjustable power user is a power user whose interval distance from the distribution line of the substation area energy storage device is greater than a preset interval distance threshold.

[0012] A further technical solution lies in that the method for determining the energy storage adjustment strategy of the substation area energy storage device is as follows: Taking the maximum value of the governance prediction duration of voltage deviation users of the substation area energy storage device under the adjustment processing strategy as the prediction adjustment duration under the adjustment processing strategy, using the prediction adjustment duration as the evaluation duration, according to the output power change conditions of the associated photovoltaic devices of different voltage deviation users, determining the output power change amount between different adjacent moments of the associated photovoltaic devices within different evaluation durations in the recent preset time period, and using the output power change amount to determine the output power change moment of the associated photovoltaic device; Taking the average value of the proportions of the output power change moments within different evaluation durations in the recent preset time period as the device output power change coefficient of different associated photovoltaic devices, determining the voltage deviation users whose sum of the device output power change coefficients of different associated photovoltaic devices is greater than a preset output power change coefficient threshold, and taking them as output power fluctuation risk users; According to the ratio of the number of the output power fluctuation risk users to the adjustment power of the substation area energy storage device corresponding to the adjustment processing strategy, it is determined whether the adjustment processing strategy is the energy storage adjustment strategy of the substation area energy storage device.

[0013] A further technical solution lies in that according to the ratio of the number of the output power fluctuation risk users to the adjustment power of the substation area energy storage device corresponding to the adjustment processing strategy, determining whether the adjustment processing strategy is the energy storage adjustment strategy of the substation area energy storage device specifically includes: The energy storage adjustment strategy of the substation area energy storage device is the adjustment processing strategy with the smallest ratio of the number of output power fluctuation risk users to the adjustment power of the substation area energy storage device corresponding to the adjustment processing strategy.

[0014] A further technical solution lies in that the preset adjustment strategy is to use the maximum adjustment power of the substation area energy storage device to perform energy storage adjustment processing on the distribution substation area.

[0015] A further technical solution lies in that the adjustment processing strategy is divided according to the adjustment power of the substation area energy storage device.

[0016] In a second aspect, the present invention provides a computer system, including: a memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor. When the processor runs the computer program, it executes the above-mentioned photovoltaic accommodation processing method based on the energy storage in the distribution area.

[0017] Other features and advantages will be described in the following specification, and, in part, will become apparent from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention are achieved and obtained by the structures specifically pointed out in the specification and the drawings.

[0018] To make the above objectives, features, and advantages of the present invention more obvious and understandable, the following specifically enumerates preferred embodiments and, in conjunction with the accompanying drawings, makes a detailed description as follows. Description of the Drawings

[0019] By referring to the drawings and describing its exemplary embodiments in detail, the above and other features and advantages of the present invention will become more obvious.

[0020] Figure 1 is a flowchart of a photovoltaic accommodation processing method based on the energy storage in the distribution area; Figure 2 is a flowchart for determining that the energy storage device in the distribution area does not require adjustment processing according to a preset adjustment strategy; Figure 3 is a flowchart of a method for determining an associated photovoltaic device of a power user; Figure 4 is a framework diagram of a computer system. Detailed Embodiments

[0021] Now, the exemplary embodiments will be described more comprehensively with reference to the drawings. However, the exemplary embodiments can be implemented in various forms and should not be construed as limited to the embodiments described herein; on the contrary, these embodiments are provided so that the present invention will be comprehensive and complete, and the concept of the exemplary embodiments will be fully conveyed to those skilled in the art. The same reference numerals in the drawings represent the same or similar structures, and thus their detailed descriptions will be omitted.

[0022] The terms "a", "an", "the", and "said" are used to indicate the presence of one or more elements / components / etc.; the terms "comprising" and "having" are used to indicate an open inclusion meaning and mean that there may be additional elements / components / etc. in addition to the listed elements / components / etc.

[0023] Embodiment 1 To solve the above problems, according to one aspect of the present invention, as Figure 1As shown, a photovoltaic accommodation processing method based on substation area energy storage is provided, which specifically includes: S1: When it is determined that the substation area energy storage device in the distribution substation does not require adjustment processing with a preset adjustment strategy based on the distance intervals between different types of power users and the distribution lines of the substation area energy storage device, proceed to the next step; S2: Based on the distribution data, determine the voltage change data of different power users when the photovoltaic devices in the distribution substation fluctuate in load. Using the voltage change data, determine the associated photovoltaic devices of different power users; S3: When it is determined that no adjustment processing with a preset adjustment strategy is required based on the output change conditions of the associated photovoltaic devices of different power users, determine the voltage deviation users based on the real-time voltage monitoring data of the power users; S4: Determine the governance prediction duration of the voltage deviation users of the substation area energy storage device under different adjustment processing strategies, and combine the output change conditions of the associated photovoltaic devices of different voltage deviation users to determine the energy storage adjustment strategy of the substation area energy storage device.

[0024] Furthermore, the types of the power users include hospitals, schools, government agencies, residential users, industrial users, and commercial users.

[0025] Specifically, the distance interval conditions of the distribution lines include the number and the interval distance of the distribution lines between different power users and the substation area energy storage device.

[0026] It should be noted that as Figure 2 shown, determining that the substation area energy storage device in the distribution substation does not require adjustment processing with a preset adjustment strategy specifically includes: Based on the distance intervals between different types of power users and the distribution lines of the substation area energy storage device, determine the interval distance between different types of power users and the distribution lines of the substation area energy storage device; Use the interval distance to determine the remote adjustment power users among the power users; According to the types of the remote adjustment power users, determine the voltage deviation influence factors of different remote adjustment power users. Based on the sum of the voltage deviation influence factors of different remote adjustment power users, determine the adjustment deviation factor, and use the adjustment deviation factor to determine whether the substation area energy storage device in the distribution substation requires adjustment processing with a preset adjustment strategy.

[0027] Furthermore, the remote adjustment power users are the power users whose interval distance from the distribution lines of the substation area energy storage device is greater than the preset interval distance threshold.

[0028] In addition, it should be noted that the voltage deviation influence factor of the remote power user is determined according to the reliability requirement for stabilizing the voltage of the type of the remote regulated power user.

[0029] It can be understood that the voltage deviation influence factor of the remote power user is determined according to the preset deviation influence factor of the type of the remote regulated power user.

[0030] Specifically, when the regulation deviation factor of the distribution transformer area is greater than the preset deviation factor threshold, it is determined that the area energy storage device of the distribution transformer area needs to be adjusted by a preset adjustment strategy.

[0031] Optionally, determining that the area energy storage device of the distribution transformer area does not need to be adjusted by a preset adjustment strategy specifically includes: S11 Determine the interval distance between the distribution lines of different types of power users and the area energy storage device according to the distance interval situation of the distribution lines of different types of power users and the area energy storage device, and use the interval distance to determine the preset adjustment difficulty factor corresponding to different power users; S12 Determine the voltage deviation influence factor of different power users according to the type of the power users; S13 Based on the sum of the products of the voltage deviation influence factors and the preset adjustment difficulty factors of different power users, determine the regulation deviation factor, and determine whether the area energy storage device of the distribution transformer area needs to be adjusted by a preset adjustment strategy according to the regulation deviation factor.

[0032] Specifically, as Figure 3 shown, the method for determining the associated photovoltaic device of the power user is: Determine the load change amount of the photovoltaic device under different historical load fluctuation times according to the historical load fluctuation data of the photovoltaic device; Determine the voltage change amount of the power user under different historical load fluctuation times, and determine the fluctuation correlation factor under different historical load fluctuation times according to the ratio of the load change amount to the voltage change amount; Based on the average value of the fluctuation correlation factors under different historical load fluctuation times, determine whether the photovoltaic device is the associated photovoltaic device of the power user.

[0033] Furthermore, when the average value of the fluctuation correlation factors under different historical load fluctuation times is greater than the preset correlation factor threshold, it is determined that the photovoltaic device is the associated photovoltaic device of the power user.

[0034] Optionally, the method for determining the associated photovoltaic device of the power user is: S21 determines the load change amount of the photovoltaic device under different historical load fluctuation times based on the historical load fluctuation data of the photovoltaic device, and determines the voltage change amount of the power user under different historical load fluctuation times; S22 determines the fluctuation correlation factor under different historical load fluctuation times based on the ratio of the load change amount to the voltage change amount; S23 determines the device correlation factor between the photovoltaic device and the power user based on the fluctuation correlation factor under different historical load fluctuation times and in combination with the load change amount under different historical load fluctuation times, and uses the device correlation factor to determine whether the photovoltaic device is the associated photovoltaic device of the power user.

[0035] Specifically, when the device correlation factor between the photovoltaic device and the power user is greater than the preset device correlation factor threshold, it is determined that the photovoltaic device is the associated photovoltaic device of the power user.

[0036] Optionally, the above step S21 includes the following content: S211 determines the voltage change amount of the power user under different historical load fluctuation times based on the historical load fluctuation data of the photovoltaic device. When the voltage change amount of the power user under different historical load fluctuation times is within the preset change amount range, it is determined that the photovoltaic device does not belong to the associated photovoltaic device of the power user. When there is a historical load fluctuation time when the voltage change amount of the power user is not within the preset change amount range, it proceeds to step S212; S212 takes the historical load fluctuation times when the voltage change amount of the power user is not within the preset change amount range as the associated change times. When the associated change times are greater than the preset associated times threshold, it is determined that the photovoltaic device does not belong to the associated photovoltaic device of the power user. When the associated change times are not greater than the preset associated times threshold, it proceeds to step S213; S213 determines the load change amount of the photovoltaic device under different historical load fluctuation times based on the historical load fluctuation data of the photovoltaic device, and takes the historical load fluctuation times when the load change amount is greater than the preset load change amount as the severe fluctuation times. When the voltage change amount of the power user under different severe fluctuation times is within the preset change amount range, it is determined that the photovoltaic device does not belong to the associated photovoltaic device of the power user. When there is a severe fluctuation time when the voltage change amount of the power user is not within the preset change amount range, it proceeds to step S214; S214 uses the proportion of the number of severe fluctuations where the voltage change of the power user is not within the preset change interval in the total number of severe fluctuations as the voltage change correlation proportion. When the voltage change correlation proportion is less than the preset correlation proportion threshold, it is determined that the photovoltaic device does not belong to the associated photovoltaic device of the power user. When the voltage change correlation proportion is not less than the preset correlation proportion threshold, it proceeds to step S22.

[0037] Optionally, the above step S22 includes the following content: S221 determines the fluctuation correlation factor at different historical load fluctuation times based on the ratio of the load change amount to the voltage change amount. When the average value of the fluctuation correlation factors at different historical load fluctuation times is less than the preset fluctuation correlation factor threshold, it is determined that the photovoltaic device does not belong to the associated photovoltaic device of the power user. When the average value of the fluctuation correlation factors at different historical load fluctuation times is not less than the preset fluctuation correlation factor threshold, it proceeds to step S222; S222 When the average value of the fluctuation correlation factors at different historical load fluctuation times is within the preset fluctuation correlation factor interval, it is determined that the photovoltaic device belongs to the associated photovoltaic device of the power user. When the average value of the fluctuation correlation factors at different historical load fluctuation times is not within the preset fluctuation correlation factor interval, it proceeds to step S223; S223 When there are historical load fluctuation times where the fluctuation correlation factor is greater than the correlation factor setting value, it proceeds to step S224. When there are no historical load fluctuation times where the fluctuation correlation factor is greater than the correlation factor setting value, it proceeds to step S23; S224 When the historical load fluctuation times where the fluctuation correlation factor is greater than the correlation factor setting value do not meet the requirements, it is determined that the photovoltaic device belongs to the associated photovoltaic device of the power user. When the historical load fluctuation times where the fluctuation correlation factor is greater than the correlation factor setting value meet the requirements, it proceeds to step S23.

[0038] Specifically, determining that no preset adjustment strategy is required for adjustment processing specifically includes: Based on the output change situations of the associated photovoltaic devices of different power users, determine the output change amounts between different adjacent time periods of the associated photovoltaic devices of different power users on different dates. Take the dates where the average value of the output change amounts between different adjacent time periods is greater than the preset change threshold as the output fluctuation dates; Based on the types of different power users and the interval distances between the distribution lines and the substation area energy storage devices, determine the adjustment deviation factors of different power users; Determine the output fluctuation factors of different associated photovoltaic devices according to the proportion of the number of output fluctuation dates of different associated photovoltaic devices, and determine the adjustment risk factors of different power users by multiplying the sum of the adjustment deviation factors of different power users and the output fluctuation factors of different associated photovoltaic devices. Determine whether the distribution substation area needs to be adjusted by a preset adjustment strategy through the sum of the adjustment risk factors of different power users.

[0039] Furthermore, when the sum of the adjustment risk factors of different power users is greater than the preset risk factor threshold, it is determined that the distribution substation area needs to be adjusted by a preset adjustment strategy.

[0040] Optionally, determining that no preset adjustment strategy is required for adjustment processing specifically includes: Based on the output change conditions of the associated photovoltaic devices of different power users, determine the output change amount between different adjacent time periods of the associated photovoltaic devices of different power users on different dates, and use the dates with the average value of the output change amount between different adjacent time periods greater than the preset change amount threshold as the output fluctuation dates; Determine the output fluctuation factors of different associated photovoltaic devices according to the proportion of the number of output fluctuation dates of different associated photovoltaic devices. When the number of associated photovoltaic devices with output fluctuation factors greater than the preset fluctuation factor threshold does not meet the requirements, it is determined that a preset adjustment strategy is required for adjustment processing; When the number of associated photovoltaic devices with output fluctuation factors greater than the preset fluctuation factor threshold meets the requirements: Based on the output fluctuation factors of different associated photovoltaic devices, determine the comprehensive fluctuation factor. When the comprehensive fluctuation factor is within the preset fluctuation factor range, it is determined that no preset adjustment strategy is required for adjustment processing; When the comprehensive fluctuation factor is not within the preset fluctuation factor range: Based on the types of different power users and the interval distances between the distribution lines of the substation area energy storage devices, determine the adjustment deviation factors of different power users, and use the adjustment deviation factors to determine the adjustment deviation users among the power users. When the sum of the output fluctuation factors of the associated photovoltaic devices of different adjustment deviation users does not meet the requirements, it is determined that a preset adjustment strategy is required for adjustment processing; When the sum of the output fluctuation factors of the associated photovoltaic devices of different adjustment deviation users meets the requirements: Determine the adjustment risk factors of different power users by multiplying the sum of the adjustment deviation factors of different power users and the output fluctuation factors of different associated photovoltaic devices. When the number of power users with adjustment risk factors greater than the preset adjustment risk factor threshold does not meet the requirements, it is determined that no preset adjustment strategy is required for adjustment processing; When the number of power users whose adjustment risk factors are greater than the preset adjustment risk factor threshold meets the requirements: Determine whether the distribution transformer area needs to be adjusted by a preset adjustment strategy based on the sum of the adjustment risk factors of different power users.

[0041] It should be noted that the voltage deviation users are power users whose number of moments when the voltage monitoring data is not within the preset monitoring data range within a preset time period is greater than the preset moment number threshold.

[0042] Furthermore, the governance prediction duration of the voltage deviation users is determined according to the average value of the historical governance durations of the voltage deviation users under different adjustment treatment strategies.

[0043] Specifically, the method for determining the energy storage adjustment strategy of the transformer area energy storage device is as follows: Taking the maximum value of the governance prediction durations of the voltage deviation users of the transformer area energy storage device under the adjustment treatment strategy as the predicted adjustment duration under the adjustment treatment strategy, using the predicted adjustment duration as the evaluation duration, determining the output power change amount between different adjacent moments of the associated photovoltaic devices within different evaluation durations in the recent preset time period according to the output power change conditions of the associated photovoltaic devices of different voltage deviation users, and using the output power change amount to determine the output power change moments of the associated photovoltaic devices; Taking the average value of the proportions of the output power change moments within different evaluation durations in the recent preset time period to determine the device output power change coefficients of different associated photovoltaic devices, determining the voltage deviation users whose sum of the device output power change coefficients of different associated photovoltaic devices is greater than the preset output power change coefficient threshold, and taking them as the output power fluctuation risk users; Determine whether the adjustment treatment strategy is the energy storage adjustment strategy of the transformer area energy storage device according to the ratio of the number of the output power fluctuation risk users to the adjustment power of the transformer area energy storage device corresponding to the adjustment treatment strategy.

[0044] Furthermore, determining whether the adjustment treatment strategy is the energy storage adjustment strategy of the transformer area energy storage device according to the ratio of the number of the output power fluctuation risk users to the adjustment power of the transformer area energy storage device corresponding to the adjustment treatment strategy specifically includes: The energy storage adjustment strategy of the transformer area energy storage device is the adjustment treatment strategy with the smallest ratio of the number of the output power fluctuation risk users to the adjustment power of the transformer area energy storage device corresponding to the adjustment treatment strategy.

[0045] It should be noted that the preset adjustment strategy is to use the maximum adjustment power of the transformer area energy storage device to perform the energy storage adjustment treatment on the distribution transformer area.

[0046] Specifically, the adjustment processing strategy is divided according to the adjustment power of the area energy storage device in the area.

[0047] Embodiment 2 In a second aspect, as Figure 4 shown, the present invention provides a computer system, including: a memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor. When the processor runs the computer program, it executes the above-mentioned photovoltaic accommodation processing method based on area energy storage.

[0048] Optionally, the above step S11 includes the following content: S111 Obtain the number of power users in the distribution area. When the number of power users does not meet the requirements, go to step S112. When the number of power users meets the requirements, go to step S113; S112 When the number of photovoltaic devices in the distribution area is greater than the preset number of photovoltaic devices, it is determined that the area energy storage device in the distribution area needs to be adjusted by a preset adjustment strategy. When the number of photovoltaic devices in the distribution area is not greater than the preset number of photovoltaic devices, go to step S113; S113 Determine the interval distance between different types of power users and the distribution line of the area energy storage device based on the distance interval between different types of power users and the distribution line of the area energy storage device. When the number of power users with an interval distance greater than the preset interval distance does not meet the requirements, it is determined that the area energy storage device in the distribution area needs to be adjusted by a preset adjustment strategy. When the number of power users with an interval distance greater than the preset interval distance meets the requirements, go to step S114; S115 Use the interval distance to determine the preset adjustment difficulty factors corresponding to different power users, and determine the comprehensive adjustment difficulty factor of the distribution area. When the comprehensive adjustment difficulty factor of the distribution area does not meet the requirements, it is determined that the area energy storage device in the distribution area needs to be adjusted by a preset adjustment strategy. When the comprehensive adjustment difficulty factor of the distribution area meets the requirements, go to step S12.

[0049] Optionally, the above step S12 includes the following content: S121 Determine the voltage deviation influence factors of different power users according to the types of power users. When the sum of the voltage deviation influence factors of different power users does not meet the requirements, it is determined that the area energy storage device in the distribution area needs to be adjusted by a preset adjustment strategy. When the sum of the voltage deviation influence factors of different power users meets the requirements, go to step S122; S122 determines the remote adjustment power users among the power users by using the interval distance. When the sum of the voltage deviation influence factors of different remote adjustment power users does not meet the requirements, it is determined that the substation energy storage device of the distribution substation area needs to be adjusted by a preset adjustment strategy. When the sum of the voltage deviation influence factors of different remote adjustment power users meets the requirements, it proceeds to step S123; S123 determines the user adjustment deviation factors of different power users by multiplying the preset adjustment difficulty factors corresponding to different power users by the voltage deviation influence factors. When there are power users with user adjustment deviation factors that do not meet the requirements, it proceeds to step S124. When there are no power users with user adjustment deviation factors that do not meet the requirements, it proceeds to step S13; S124 When the number of power users with user adjustment deviation factors that do not meet the requirements does not meet the requirements, it is determined that the substation energy storage device of the distribution substation area needs to be adjusted by a preset adjustment strategy. When the number of power users with user adjustment deviation factors that do not meet the requirements meets the requirements, it proceeds to step S13.

[0050] Each embodiment in this specification is described in a progressive manner. The same or similar parts among the embodiments can be referred to each other. The key point of each embodiment is to illustrate the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple. For the relevant parts, refer to the partial description of the method embodiments.

[0051] The above describes specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be executed in a different order than in the embodiments and still achieve the desired results. Additionally, the processes depicted in the figures do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0052] The above is only one or more embodiments of this specification and is not used to limit this specification. For those skilled in the art, one or more embodiments of this specification can have various changes and modifications. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of one or more embodiments of this specification shall be included within the scope of the claims of this specification.

Claims

1. A photovoltaic consumption treatment method based on regional energy storage, characterized in that: Specifically include: When it is determined that the substation energy storage device in the distribution substation does not need to be regulated by a preset regulation strategy based on the distance interval between different types of power users and the distribution lines of the substation energy storage device, proceed to the next step; Determine voltage variation data of different power users when the load of the photovoltaic devices in the power distribution area fluctuates based on the distribution data, and determine the associated photovoltaic devices of different power users using the voltage variation data; When it is determined that there is no need to adopt a preset regulation strategy for regulation based on the output change of the photovoltaic devices associated with different power users, the voltage deviation user is determined based on the real-time voltage monitoring data of the power user; Determine the predicted duration of the management of voltage deviation users under different regulation processing strategies of the energy storage device in the substation, and determine the energy storage regulation strategy of the energy storage device in the substation based on the output changes of the photovoltaic devices associated with different voltage deviation users.

2. The photovoltaic consumption treatment method based on regional energy storage according to claim 1, characterized in that: The types of electricity users include hospitals, schools, government agencies, residential users, industrial users, and commercial users.

3. The photovoltaic consumption treatment method based on regional energy storage according to claim 1, characterized in that: The distance interval of the distribution lines includes the number and interval distance of the distribution lines between different power users and the energy storage device in the substation.

4. The photovoltaic consumption treatment method based on regional energy storage according to claim 1, characterized in that: Determine that the energy storage device in the distribution station area does not need to be adjusted by the preset adjustment strategy, including: Determine the distance between different types of power users and the distribution lines of the energy storage device in the substation based on the distance between different types of power users and the distribution lines of the energy storage device in the substation; determining a remote regulation power user among the power users by using the separation distance; According to the type of the remote regulated power user, the voltage deviation influencing factors of different remote regulated power users are determined, and based on the sum of the voltage deviation influencing factors of different remote regulated power users, the regulation deviation factor is determined, and the regulation deviation factor is used to determine whether the substation energy storage device in the distribution station area needs to be regulated according to a preset regulation strategy.

5. The photovoltaic consumption treatment method based on regional energy storage according to claim 4 is characterized in that: The remote regulation power user is a power user whose spacing distance from the distribution line of the substation energy storage device is greater than a preset spacing distance threshold.

6. The photovoltaic consumption treatment method based on regional energy storage according to claim 4, characterized in that: The voltage deviation influencing factor of the remote power user is determined according to the required reliability of voltage stability of the type of the remote regulated power user.

7. The photovoltaic consumption treatment method based on regional energy storage according to claim 4 is characterized in that: When the adjustment deviation factor of the power distribution station area is greater than a preset deviation factor threshold, it is determined that the station area energy storage device of the power distribution station area needs to be adjusted using a preset adjustment strategy.

8. The photovoltaic consumption treatment method based on regional energy storage according to claim 1, characterized in that: The method for determining the energy storage regulation strategy of the energy storage device in the substation is: The predicted adjustment time under the adjustment processing strategy is determined by taking the maximum value of the predicted management time of the voltage deviation user of the energy storage device in the substation area under the adjustment processing strategy, and the predicted adjustment time is used as the evaluation time. According to the output change of the associated photovoltaic devices of different voltage deviation users, the output change amount of the associated photovoltaic devices between different adjacent moments within different evaluation time periods within the most recent preset time period is determined, and the output change time of the associated photovoltaic devices is determined by using the output change amount; Determine the output variation coefficients of different associated photovoltaic devices by taking the average value of the proportion of output variation moments in different evaluation durations within the most recent preset period, and determine the voltage deviation users whose sum of output variation coefficients is greater than a preset output variation coefficient threshold by taking the sum of the output variation coefficients of different associated photovoltaic devices, and regard them as output fluctuation risk users; According to the ratio of the number of users with output fluctuation risk to the regulation power of the substation energy storage device corresponding to the regulation processing strategy, it is determined whether the regulation processing strategy is the energy storage regulation strategy of the substation energy storage device.

9. The photovoltaic consumption treatment method based on regional energy storage according to claim 8, characterized in that: Determining whether the regulation processing strategy is an energy storage regulation strategy for the substation energy storage device according to the ratio of the number of users with output fluctuation risk to the regulation power of the substation energy storage device corresponding to the regulation processing strategy specifically includes: The energy storage regulation strategy of the substation energy storage device is a regulation processing strategy that minimizes the ratio of the number of users with output fluctuation risk to the regulation power of the substation energy storage device corresponding to the regulation processing strategy.

10. A computer system comprising: A memory and a processor that are communicatively connected, 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 photovoltaic consumption processing method based on substation energy storage as described in any one of claims 1-9 is executed.

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