Photovoltaic electric field grounding method and system based on composite grounding body

Abstract

The invention relates to the technical field of photovoltaic electric fields, in particular to a photovoltaic electric field grounding method and system based on a composite grounding body. Comprising the following steps: setting a plurality of equipment points according to equipment parameters of a photovoltaic electric field, and setting a preprocessing strategy of each equipment point; generating a segmentation evaluation value of the photovoltaic electric field based on a preset segmentation model, and setting a plurality of grounding sub-regions according to the segmentation evaluation value; setting a primary grounding strategy of each grounding sub-region; the segmentation strategy is set and adjusted based on the environmental parameters of the photovoltaic electric field, so that a plurality of grounding sub-regions are established, and the grounding cost of the photovoltaic electric field is reduced by dynamically adjusting the grounding grid of each grounding sub-region. By monitoring the actual operation parameters of each grounding sub-region and dynamically correcting the grounding model, the planning efficiency of each grounding sub-region and the protection efficiency of the photovoltaic electric field are improved, and the safe operation of the photovoltaic electric field is ensured.

Description

Technical Field

[0001] The present application relates to the field of photovoltaic electric field technology, and in particular to a photovoltaic electric field grounding method and system based on a composite grounding body. Background Art

[0002] In photovoltaic power generation systems, good grounding is key to ensuring equipment safety, preventing lightning damage, and ensuring personnel safety. Traditional photovoltaic field grounding methods primarily use galvanized flat steel or angle steel to form horizontal or vertical grounding grids. However, in areas with high soil resistivity (such as sandy, mountainous, and rocky geology), conventional grounding methods have the following problems: When soil resistivity is high, traditional metal grounding electrodes (such as galvanized steel) cannot achieve the required low grounding resistance (e.g., ≤4Ω) as required by regulations. This necessitates the use of additional grounding electrodes or chemical resistance-reducing agents, which is costly and complex to maintain. Traditional grounding methods are susceptible to the "skin effect" caused by high-frequency lightning currents, leading to localized potential increases and increasing the risk of equipment damage. Summary of the Invention

[0003] The purpose of this application is: to solve the above technical problems, this application provides a photovoltaic electric field grounding method and system based on a composite grounding body, aiming to reduce the grounding cost of the photovoltaic electric field, improve the protection efficiency of the photovoltaic electric field, and ensure the safe operation of the photovoltaic electric field.

[0004] In some embodiments of the present application, a segmentation strategy is adjusted based on the environmental parameters of the photovoltaic field to establish multiple grounding sub-areas, and the grounding cost of the photovoltaic field is reduced by dynamically adjusting the grounding network of each grounding sub-area.

[0005] In some embodiments of the present application, the actual operating parameters of each grounding sub-area are monitored and the grounding model is dynamically corrected to improve the planning efficiency of each grounding sub-area and the protection efficiency of the photovoltaic field, thereby ensuring the safe operation of the photovoltaic field.

[0006] In some embodiments of the present application, a photovoltaic electric field grounding method based on a composite grounding body is provided, comprising: Set multiple equipment points according to the equipment parameters of the photovoltaic field, and set the pre-processing strategy for each equipment point; generating a segmentation evaluation value of the photovoltaic electric field based on a preset segmentation model, and setting a plurality of grounding sub-areas according to the segmentation evaluation value; Set the primary grounding strategy for each grounding sub-area; When setting multiple equipment points, it includes: Create a device point array A, A=(a1, a2…a i …a n ), where a iis the i-th device point; n is the number of device points.

[0007] In some embodiments of the present application, generating a segmentation evaluation value of a photovoltaic electric field includes: Obtain characteristic data packets of the photovoltaic electric field; Generate segmentation evaluation value b based on feature data packet; b=[ µ i *j i ]; Among them, θ1 is the number of characteristic evaluation indicators; µ i is the influencing factor of the i-th characteristic evaluation index; j i It is the reference value of the i-th feature evaluation index generated based on the feature data packet.

[0008] In some embodiments of the present application, when multiple grounding sub-areas are set according to the segmentation evaluation value, the method includes: Set the first-level area threshold according to the segmentation evaluation value d; Generate multiple segmentation sub-strategies based on the first-level area threshold; Establish a sequence of segmentation strategies C, C=(c1,c2…c i …c r ), where c i is the i-th segmentation sub-strategy; r is the number of segmentation sub-strategies; Generate the expected evaluation value of each segmentation sub-strategy; Establish the expected evaluation value sequence D, D=(d1, d2…d i …d r ), where d i is the expected evaluation value of the i-th segmentation sub-strategy; Set the maximum value d in the expected evaluation value sequence D max The corresponding segmentation sub-strategy is the first-level segmentation strategy; According to the first-level segmentation strategy, a ground sub-area sequence W is established, W=(w1, w2…w i …w m ), where w i is the i-th grounding sub-area; m is the number of grounding sub-areas.

[0009] In some embodiments of the present application, generating the expected evaluation value of each segmentation sub-strategy includes: According to the segmentation strategy sequence C, set c in sequence i is the target segmentation sub-strategy; Generate multiple initial sub-regions according to the target segmentation sub-strategy; Establish the initial sub-region sequence W1, W1=(w 11 , w 12 …w1i …w 1m1 ), where w1i is the i-th initial sub-region generated based on the target segmentation sub-strategy; m1 is the number of initial sub-strategies generated based on the target segmentation sub-strategy; Generate regional evaluation values ​​for each initial sub-region; Generate the expected evaluation value d of the target segmentation sub-strategy based on the initial sub-region sequence W1; d=U*{e1*Q1*[ β i *s i ]+e2*Q2*[ β i *v i ]}; Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; β i is the impact factor of the i-th initial sub-region; s i is the regional evaluation value of the i-th initial sub-region; v i is the expected cost value of the i-th initial sub-region; U is the conversion coefficient; Generate the expected evaluation value of each segmentation sub-strategy in turn.

[0010] In some embodiments of the present application, generating a regional evaluation value for each initial sub-region includes: According to the initial sub-region sequence W1, set w i is the target initial sub-region; Generate a regional evaluation value s of the target initial sub-region; s=e3*Q3*[ µ i *j 1i ]+e4*Q4*[ µ i *(j 1i -j' i ) 2 ]; Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; θ1 is the number of characteristic evaluation indicators; µ i is the influencing factor of the i-th characteristic evaluation index; j 1i is the reference value of the i-th feature evaluation index in the target initial sub-region; j' i Generate the first-level standard value of the i-th feature evaluation index in the target initial sub-region according to the preset association model; Generate regional evaluation values ​​for each initial sub-region in sequence.

[0011] In some embodiments of the present application, setting the primary grounding strategy for each grounding sub-area includes: Constructing a grounding model based on historical grounding parameters; Set w in sequence according to the number of ground sub-areas W i is the target grounding sub-area; Setting grounding point parameters of the target grounding sub-area according to the grounding model; Setting the primary grounding strategy of the target grounding sub-area according to the grounding point parameters; Generate the first-level grounding strategy for each grounding sub-area in sequence; Generate an operation evaluation value for each grounding sub-area according to the preset feedback time node; Determine whether to generate a correction instruction based on all the operation evaluation values.

[0012] In some embodiments of the present application, determining whether to generate a correction instruction includes: Set w in sequence according to the number of ground sub-areas W i is the sub-area to be monitored; Generate an operation evaluation value f of the sub-area to be monitored; f= η i *k i ; Among them, θ2 is the number of monitoring indicators; η i is the impact factor of the i-th monitoring indicator; k i is the reference value of the i-th monitoring indicator of the sub-area to be monitored; Generate the operation evaluation value of each grounding sub-area in turn; Generate a modified evaluation value h; h= Y(i)*(f i -f') 2 ]; Among them, k i is the operational evaluation value of the i-th grounding sub-area; k' is the operational evaluation value threshold; Y(i) is the selection coefficient; if (f i -f')>0;Y(i)=0;if(f i -f')<0,Y(i)=1; Preset correction evaluation value threshold H1; If h>H1, generate a first-level correction instruction.

[0013] In some embodiments of the present application, a photovoltaic electric field grounding system based on a composite grounding body is provided, comprising: The central control unit is used to set multiple equipment points according to the equipment parameters of the photovoltaic field and set the pre-processing strategy for each equipment point; A segmentation unit, used for constructing a segmentation model and generating a segmentation evaluation value of the photovoltaic electric field according to the segmentation model; The segmentation unit is further configured to set a plurality of ground contact sub-areas according to the segmentation evaluation value; The central control unit includes: The first processing module is used to establish a device point sequence A, A=(a1, a2…a i …a n ), where a i is the i-th device point; n is the number of device points; The second processing module is used to set a primary grounding strategy for each grounding sub-area.

[0014] In some embodiments of the present application, the segmentation unit includes: A first segmentation module, used to establish a segmentation model; The first segmentation module is further used to obtain characteristic data packets of the photovoltaic electric field; Generate segmentation evaluation value b based on feature data packet; b=[ µ i *j i ]; Among them, θ1 is the number of characteristic evaluation indicators; µ i is the influencing factor of the i-th characteristic evaluation index; j i is the reference value of the i-th feature evaluation index generated based on the feature data packet; The second segmentation module is used to set a first-level area threshold according to the segmentation evaluation value d; Generate multiple segmentation sub-strategies based on the first-level area threshold; Establish a sequence of segmentation strategies C, C=(c1,c2…c i …c r ), where c i is the i-th segmentation sub-strategy; r is the number of segmentation sub-strategies; Generate the expected evaluation value of each segmentation sub-strategy; Establish the expected evaluation value sequence D, D=(d1, d2…d i …d r ), where d i is the expected evaluation value of the i-th segmentation sub-strategy; Set the maximum value d in the expected evaluation value sequence D max The corresponding segmentation sub-strategy is the first-level segmentation strategy; According to the first-level segmentation strategy, a ground sub-area sequence W is established, W=(w1, w2…w i …w m ), where w i is the i-th grounding sub-area; m is the number of grounding sub-areas.

[0015] In some embodiments of the present application, the second processing module is further configured to: Constructing a grounding model based on historical grounding parameters; Set w in sequence according to the number of ground sub-areas W i is the target grounding sub-area; Setting grounding point parameters of the target grounding sub-area according to the grounding model; Setting the primary grounding strategy of the target grounding sub-area according to the grounding point parameters; Generate the first-level grounding strategy for each grounding sub-area in sequence; Generate an operation evaluation value for each grounding sub-area according to the preset feedback time node; Determine whether to generate a correction instruction based on all the operation evaluation values.

[0016] Compared with the prior art, the photovoltaic electric field grounding method and system based on the composite grounding body in the embodiment of the present application has the following beneficial effects: The segmentation strategy is adjusted based on the environmental parameters of the photovoltaic field to establish multiple grounding sub-areas. The grounding cost of the photovoltaic field is reduced by dynamically adjusting the grounding grid of each grounding sub-area.

[0017] By monitoring the actual operating parameters of each grounding sub-area and dynamically correcting the grounding model, the planning efficiency of each grounding sub-area and the protection efficiency of the photovoltaic field are improved, ensuring the safe operation of the photovoltaic field. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a flow chart of a photovoltaic electric field grounding method based on a composite grounding body in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0019] The following embodiments are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0020] In the description of this application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on this application.

[0021] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature specified as "first" or "second" may explicitly or implicitly include one or more of such features. Throughout this application, unless otherwise specified, "plurality" means two or more.

[0022] In the description of this application, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal connections between two components. Those skilled in the art will understand the specific meanings of the above terms in this application based on the specific circumstances.

[0023] like Figure 1 As shown, a photovoltaic electric field grounding method based on a composite grounding body according to a preferred embodiment of the present application includes: S101: setting multiple equipment points according to equipment parameters of the photovoltaic field, and setting a pre-processing strategy for each equipment point; S102: generating a segmentation evaluation value of the photovoltaic electric field based on a preset segmentation model, and setting a plurality of grounding sub-areas according to the segmentation evaluation value; S103: Setting the primary grounding strategy for each grounding sub-area; When setting multiple equipment points, it includes: Create a device point array A, A=(a1, a2…a i …a n ), where a i is the i-th device point; n is the number of device points.

[0024] Specifically, the number of corresponding monitoring points is set according to the number of photovoltaic modules in the photovoltaic field, and a single monitoring point represents one photovoltaic module.

[0025] Specifically, the pretreatment strategy refers to utilizing the steel bars within the foundation of each PV module and welding them into a mesh as a natural grounding body, thereby constructing each PV module into an equipotential body.

[0026] Specifically, when generating the segmentation evaluation value of the photovoltaic electric field, it includes: Obtain characteristic data packets of photovoltaic electric fields; Generate segmentation evaluation value b based on feature data packet; b=[ µ i *j i ]; Among them, θ1 is the number of characteristic evaluation indicators; µ i is the influencing factor of the i-th characteristic evaluation index; j i It is the reference value of the i-th feature evaluation index generated based on the feature data packet.

[0027] Specifically, characteristic evaluation indicators include but are not limited to the average soil resistivity of the photovoltaic field, soil resistance uniformity, resistance uniformity between different photovoltaic modules, lightning strike and leakage risk probability and other parameters. By quantifying each characteristic evaluation indicator, a multi-dimensional analysis of the photovoltaic field can be performed.

[0028] Specifically, the larger the segmentation evaluation value is, the greater the overall grounding difficulty of the current photovoltaic field is.

[0029] Specifically, when the value of the characteristic index fluctuates, the greater the impact on the overall grounding difficulty, the greater the corresponding impact factor.

[0030] Specifically, when multiple grounding sub-areas are set according to the segmentation evaluation value, it includes: Set the first-level area threshold according to the segmentation evaluation value d; Generate multiple segmentation sub-strategies based on the first-level area threshold; Establish a sequence of segmentation strategies C, C=(c1,c2…c i …c r ), where c i is the i-th segmentation sub-strategy; r is the number of segmentation sub-strategies; Generate the expected evaluation value of each segmentation sub-strategy; Establish the expected evaluation value sequence D, D=(d1, d2…d i …d r ), where d i is the expected evaluation value of the i-th segmentation sub-strategy; Set the maximum value d in the expected evaluation value sequence D max The corresponding segmentation sub-strategy is the first-level segmentation strategy; According to the first-level segmentation strategy, a ground sub-area sequence W is established, W=(w1, w2…w i …w m ), where w i is the i-th grounding sub-area; m is the number of grounding sub-areas.

[0031] Specifically, the larger the segmentation evaluation value is, the smaller the corresponding first-level area threshold is, and the specific mapping relationship can be set according to historical parameters.

[0032] Specifically, a minimum area value for the grounded sub-region is set based on historical parameters, which is always less than the first-level area threshold. An area interval for the node sub-region is established based on the minimum area value and the first-level area threshold. The photovoltaic field is randomly segmented based on the area interval of the grounded sub-region, generating multiple initial sub-regions. Each initial sub-region includes multiple device points, and the areas of each initial sub-region are all within the area interval. A segmentation sub-strategy is constructed based on all the initial sub-regions. Different segmentation sub-strategies are generated through multiple random segmentations.

[0033] It is understandable that in the above embodiment, the segmentation strategy is adjusted based on the environmental parameters of the photovoltaic field to establish multiple grounding sub-areas, and the grounding cost of the photovoltaic field is reduced by dynamically adjusting the grounding network of each grounding sub-area.

[0034] Specifically, all initial sub-regions within the first-level segmentation strategy are set as ground sub-regions, thereby establishing a ground sub-region sequence.

[0035] In a preferred embodiment of the present application, generating the expected evaluation value of each segmentation sub-strategy includes: According to the segmentation strategy sequence C, set c in sequence i is the target segmentation sub-strategy; Generate multiple initial sub-regions according to the target segmentation sub-strategy; Establish the initial sub-region sequence W1, W1=(w 11 , w 12 …w 1i …w 1m1 ), where w1i is the i-th initial sub-region generated based on the target segmentation sub-strategy; m1 is the number of initial sub-strategies generated based on the target segmentation sub-strategy; Generate regional evaluation values ​​for each initial sub-region; Generate the expected evaluation value d of the target segmentation sub-strategy based on the initial sub-region sequence W1; d=U*{e1*Q1*[ β i *s i ]+e2*Q2*[ β i *v i ]}; Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; β i is the impact factor of the i-th initial sub-region; s i is the regional evaluation value of the i-th initial sub-region; v i is the expected cost value of the i-th initial sub-region; U is the conversion coefficient; Generate the expected evaluation value of each segmentation sub-strategy in turn.

[0036] Specifically, by setting the conversion coefficient, the larger the expected evaluation value is, the higher the feasibility of the target segmentation sub-strategy is.

[0037] Specifically, the impact factor of each initial sub-region is set according to its area and the number of photovoltaic modules inside. The larger the area and the more photovoltaic modules there are, the greater the corresponding impact factor.

[0038] Specifically, the expected cost value is determined based on the expected cost of laying the grounding grid in the initial sub-area, the expected connection costs between the grounding grid and each PV module in the initial sub-area, the expected costs of corrosion protection and welding, and the expected operation and maintenance costs. The greater the total cost, the greater the corresponding expected cost value.

[0039] Specifically, all parameters in the model are normalized by presetting a first fixed coefficient and a second fixed coefficient, so that each parameter in the model is in the same value range.

[0040] Specifically, when generating the regional evaluation value of each initial sub-region, it includes: According to the initial sub-region sequence W1, set w i is the target initial sub-region; Generate a regional evaluation value s of the target initial sub-region; s=e3*Q3*[ µ i *j 1i ]+e4*Q4*[ µ i *(j 1i -j' i ) 2 ]; Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; θ1 is the number of characteristic evaluation indicators; µ i is the influencing factor of the i-th characteristic evaluation index; j 1i is the reference value of the i-th feature evaluation index in the target initial sub-region; j' i Generate the first-level standard value of the i-th feature evaluation index in the target initial sub-region according to the preset association model; Generate regional evaluation values ​​for each initial sub-region in sequence.

[0041] Specifically, the higher the regional evaluation value, the greater the grounding difficulty in the current grounding sub-area. Specifically, the larger the reference value of the characteristic evaluation index, the greater the corresponding grounding difficulty. For example, the smaller the soil resistance uniformity, the larger the corresponding value range.

[0042] Specifically, the first-level standard value refers to the average reference value of the feature evaluation index in all associated sub-regions of the target initial sub-region selected according to the association model, and the associated sub-regions refer to all initial sub-regions adjacent to the target initial sub-region.

[0043] Specifically, the greater the difference in each characteristic evaluation index between the target initial sub-region and the adjacent initial sub-region, the greater the possibility of operational risk, and the more safety margin is required when grounding.

[0044] Specifically, all parameters in the model are normalized by presetting the third fixed coefficient and the fourth fixed coefficient, so that each parameter in the model is in the same value range.

[0045] In a preferred embodiment of the present application, when setting the primary grounding strategy for each grounding sub-area, the following steps are included: Constructing a grounding model based on historical grounding parameters; Set w in sequence according to the number of ground sub-areas W i is the target grounding sub-area; Setting grounding point parameters of the target grounding sub-area according to the grounding model; Setting the primary grounding strategy of the target grounding sub-area according to the grounding point parameters; Generate the first-level grounding strategy for each grounding sub-area in sequence; Generate an operation evaluation value for each grounding sub-area according to the preset feedback time node; Determine whether to generate a correction instruction based on all the operation evaluation values.

[0046] Specifically, the primary grounding strategy refers to analyzing the target grounding sub-area, selecting the best grounding point, and setting the corresponding grounding grid parameters based on parameters such as the soil resistance and lightning strike probability of the target grounding sub-area. It is then connected to each photovoltaic module in the target grounding sub-area, and all welding points are treated with anti-corrosion.

[0047] Specifically, the determination of whether to generate a correction instruction includes: Set w in sequence according to the number of ground sub-areas W i is the sub-area to be monitored; Generate an operation evaluation value f of the sub-area to be monitored; f= η i *k i ; Among them, θ2 is the number of monitoring indicators; η i is the impact factor of the i-th monitoring indicator; k i is the reference value of the i-th monitoring indicator of the sub-area to be monitored; Generate the operation evaluation value of each grounding sub-area in turn; Generate a modified evaluation value h; h= Y(i)*(f i -f') 2 ]; Among them, k i is the operational evaluation value of the i-th grounding sub-area; k' is the operational evaluation value threshold; Y(i) is the selection coefficient; if (f i -f')>0;Y(i)=0;if(f i -f')<0,Y(i)=1; Preset correction evaluation value threshold H1; If h>H1, generate a first-level correction instruction.

[0048] Specifically, the monitoring indicators include, but are not limited to, lightning protection effect, leakage protection effect and other parameters related to the operating risks of photovoltaic power fields.

[0049] Specifically, the greater the impact of the monitoring indicator on the safe operation of the photovoltaic field, the greater the corresponding impact factor.

[0050] Specifically, the larger the operation evaluation value, the safer the operation of the current grounding sub-area. The operation evaluation value threshold can be set based on historical parameters.

[0051] Specifically, a correction evaluation value threshold is set according to historical parameters. When a first-level correction instruction is generated, the first-level grounding strategy of each grounding sub-area in the photovoltaic field is appropriately corrected, and the grounding model is optimized according to the correction result.

[0052] It can be understood that in the above embodiment, by monitoring the actual operating parameters of each grounding sub-area, the grounding model is dynamically corrected to improve the planning efficiency of each grounding sub-area and the protection efficiency of the photovoltaic field, thereby ensuring the safe operation of the photovoltaic field.

[0053] Based on another preferred embodiment of a photovoltaic electric field grounding method based on a composite grounding body in any of the above preferred embodiments, this preferred embodiment provides a photovoltaic electric field grounding system based on a composite grounding body, including: The central control unit is used to set multiple equipment points according to the equipment parameters of the photovoltaic field and set the pre-processing strategy for each equipment point; A segmentation unit, used for constructing a segmentation model and generating a segmentation evaluation value of the photovoltaic electric field according to the segmentation model; The segmentation unit is further used to set a plurality of grounding sub-areas according to the segmentation evaluation value; The central control unit includes: The first processing module is used to establish a device point sequence A, A=(a1, a2…a i …a n ), where a i is the i-th device point; n is the number of device points; The second processing module is used to set a primary grounding strategy for each grounding sub-area.

[0054] Specifically, the segmentation unit includes: A first segmentation module, used to establish a segmentation model; The first segmentation module is also used to obtain characteristic data packets of the photovoltaic electric field; Generate segmentation evaluation value b based on feature data packet; b=[ µ i *j i ]; Among them, θ1 is the number of characteristic evaluation indicators; µ i is the influencing factor of the i-th characteristic evaluation index; j i is the reference value of the i-th feature evaluation index generated based on the feature data packet; The second segmentation module is used to set a first-level area threshold according to the segmentation evaluation value d; Generate multiple segmentation sub-strategies based on the first-level area threshold; Establish a sequence of segmentation strategies C, C=(c1,c2…c i …c r ), where c i is the i-th segmentation sub-strategy; r is the number of segmentation sub-strategies; Generate the expected evaluation value of each segmentation sub-strategy; Establish the expected evaluation value sequence D, D=(d1, d2…d i …d r ), where d i is the expected evaluation value of the i-th segmentation sub-strategy; Set the maximum value d in the expected evaluation value sequence D max The corresponding segmentation sub-strategy is the first-level segmentation strategy; According to the first-level segmentation strategy, a ground sub-area sequence W is established, W=(w1, w2…w i …w m ), where w i is the i-th grounding sub-area; m is the number of grounding sub-areas.

[0055] In a preferred embodiment of the present application, the second processing module is further configured to: Construct a grounding model based on historical grounding parameters; Set w in sequence according to the number of ground sub-areas W iis the target grounding sub-area; Setting grounding point parameters of the target grounding sub-area according to the grounding model; Setting the primary grounding strategy of the target grounding sub-area according to the grounding point parameters; Generate the first-level grounding strategy for each grounding sub-area in sequence; Generate an operation evaluation value for each grounding sub-area according to the preset feedback time node; Determine whether to generate a correction instruction based on all the operation evaluation values.

[0056] According to the first concept of the present application, the segmentation strategy is adjusted based on the environmental parameters of the photovoltaic field to establish multiple grounding sub-areas, and the grounding cost of the photovoltaic field is reduced by dynamically adjusting the grounding network of each grounding sub-area.

[0057] According to the second concept of this application, by monitoring the actual operating parameters of each grounding sub-area, the grounding model is dynamically corrected to improve the planning efficiency of each grounding sub-area and the protection efficiency of the photovoltaic field, thereby ensuring the safe operation of the photovoltaic field.

[0058] The above is only a preferred embodiment of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and replacements can be made without departing from the technical principles of the present application. These improvements and replacements should also be regarded as the scope of protection of the present application.

Claims

1. A photovoltaic electric field grounding method based on a composite grounding body, characterized in that: include: Set multiple equipment points according to the equipment parameters of the photovoltaic field, and set the pre-processing strategy for each equipment point; generating a segmentation evaluation value of the photovoltaic electric field based on a preset segmentation model, and setting a plurality of grounding sub-areas according to the segmentation evaluation value; Set the primary grounding strategy for each grounding sub-area; When setting multiple equipment points, it includes: Create a device point array A, A=(a1, a2…a i …a n ), where a i is the i-th device point; n is the number of device points.

2. The photovoltaic electric field grounding method based on a composite grounding body according to claim 1, characterized in that: When generating the segmentation evaluation value of the photovoltaic field, it includes: Obtain characteristic data packets of the photovoltaic electric field; Generate segmentation evaluation value b based on feature data packet; b=[ µ i *j i ]; Among them, θ1 is the number of characteristic evaluation indicators; µ i is the influencing factor of the i-th characteristic evaluation index; j i It is the reference value of the i-th feature evaluation index generated based on the feature data packet.

3. The photovoltaic electric field grounding method based on a composite grounding body according to claim 2, characterized in that: When multiple grounding sub-areas are set based on the segmentation evaluation value, it includes: Set the first-level area threshold according to the segmentation evaluation value d; Generate multiple segmentation sub-strategies based on the first-level area threshold; Establish a sequence of segmentation strategies C, C=(c1,c2…c i …c r ), where c i is the i-th segmentation sub-strategy; r is the number of segmentation sub-strategies; Generate the expected evaluation value of each segmentation sub-strategy; Establish the expected evaluation value sequence D, D=(d1, d2…d i …d r ), where d i is the expected evaluation value of the i-th segmentation sub-strategy; Set the maximum value d in the expected evaluation value sequence D max The corresponding segmentation sub-strategy is the first-level segmentation strategy; According to the first-level segmentation strategy, a ground sub-area sequence W is established, W=(w1, w2…w i …w m ), where w i is the i-th grounding sub-area; m is the number of grounding sub-areas.

4. The photovoltaic electric field grounding method based on a composite grounding body according to claim 3, characterized in that: When generating the expected evaluation value of each segmentation sub-strategy, it includes: According to the segmentation strategy sequence C, set c in sequence i is the target segmentation sub-strategy; Generate multiple initial sub-regions according to the target segmentation sub-strategy; Establish the initial sub-region sequence W1, W1=(w 11 , w 12 …w 1i …w 1m1 ), where w1i is the i-th initial sub-region generated based on the target segmentation sub-strategy; m1 is the number of initial sub-strategies generated based on the target segmentation sub-strategy; Generate regional evaluation values ​​for each initial sub-region; Generate the expected evaluation value d of the target segmentation sub-strategy based on the initial sub-region sequence W1; d=U*{e1*Q1*[ β i *sh i ]+e2*Q2*[ β i *v i ]}; Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; β i is the impact factor of the i-th initial sub-region; s i is the regional evaluation value of the i-th initial sub-region; v i is the expected cost value of the i-th initial sub-region; U is the conversion coefficient; Generate the expected evaluation value of each segmentation sub-strategy in turn.

5. The photovoltaic electric field grounding method based on a composite grounding body according to claim 4, characterized in that: When generating the regional evaluation value of each initial sub-region, it includes: According to the initial sub-region sequence W1, set w i is the target initial sub-region; Generate a regional evaluation value s of the target initial sub-region; s=e3*Q3*[ µ i *j 1i ]+e4*Q4*[ µ i *(j 1i -j' i ) ) 2 ]; Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; θ1 is the number of characteristic evaluation indicators; µ i is the influencing factor of the i-th characteristic evaluation index; j 1i is the reference value of the i-th feature evaluation index in the target initial sub-region; j' i Generate the first-level standard value of the i-th feature evaluation index in the target initial sub-region according to the preset association model; Generate regional evaluation values ​​for each initial sub-region in sequence.

6. The photovoltaic electric field grounding method based on a composite grounding body according to claim 3, characterized in that: When setting the primary grounding strategy for each grounding sub-area, include: Constructing a grounding model based on historical grounding parameters; Set w in sequence according to the number of ground sub-areas W i is the target grounding sub-area; Setting grounding point parameters of the target grounding sub-area according to the grounding model; Setting the primary grounding strategy of the target grounding sub-area according to the grounding point parameters; Generate the first-level grounding strategy for each grounding sub-area in sequence; Generate an operation evaluation value for each grounding sub-area according to the preset feedback time node; Determine whether to generate a correction instruction based on all the operation evaluation values.

7. The photovoltaic electric field grounding method based on a composite grounding body according to claim 6, characterized in that: When determining whether to generate a correction instruction, it includes: Set w in sequence according to the number of ground sub-areas W i is the sub-area to be monitored; Generate an operation evaluation value f of the sub-area to be monitored; f= or i *k i ; Among them, θ2 is the number of monitoring indicators; η i is the impact factor of the i-th monitoring indicator; k i is the reference value of the i-th monitoring indicator of the sub-area to be monitored; Generate the operation evaluation value of each grounding sub-area in turn; Generate a modified evaluation value h; h= Y(i)*(f i -f') 2 ]; Among them, k i is the operational evaluation value of the i-th grounding sub-area; k' is the operational evaluation value threshold; Y(i) is the selection coefficient; if (f i -f')>0;Y(i)=0;if(f i -f')<0,Y(i)=1; Preset correction evaluation value threshold H1; If h>H1, generate a first-level correction instruction.

8. A photovoltaic electric field grounding system based on a composite grounding body, adopting the photovoltaic electric field grounding method based on a composite grounding body according to any one of claims 1 to 7, characterized in that: include: The central control unit is used to set multiple equipment points according to the equipment parameters of the photovoltaic field and set the pre-processing strategy for each equipment point; A segmentation unit, used for constructing a segmentation model and generating a segmentation evaluation value of the photovoltaic electric field according to the segmentation model; The segmentation unit is further configured to set a plurality of ground contact sub-areas according to the segmentation evaluation value; The central control unit includes: The first processing module is used to establish a device point sequence A, A=(a1, a2…a i …a n ), where a i is the i-th device point; n is the number of device points; The second processing module is used to set a primary grounding strategy for each grounding sub-area.

9. The photovoltaic electric field grounding system based on the composite grounding body according to claim 8, characterized in that: The segmentation unit includes: A first segmentation module, used to establish a segmentation model; The first segmentation module is further used to obtain characteristic data packets of the photovoltaic electric field; Generate segmentation evaluation value b based on feature data packet; b=[ µ i *j i ]; Among them, θ1 is the number of characteristic evaluation indicators; µ i is the influencing factor of the i-th characteristic evaluation index; j i is the reference value of the i-th feature evaluation index generated based on the feature data packet; The second segmentation module is used to set a first-level area threshold according to the segmentation evaluation value d; Generate multiple segmentation sub-strategies based on the first-level area threshold; Establish a sequence of segmentation strategies C, C=(c1,c2…c i …c r ), where c i is the i-th segmentation sub-strategy; r is the number of segmentation sub-strategies; Generate the expected evaluation value of each segmentation sub-strategy; Establish the expected evaluation value sequence D, D=(d1, d2…d i …d r ), where d i is the expected evaluation value of the i-th segmentation sub-strategy; Set the maximum value d in the expected evaluation value sequence D max The corresponding segmentation sub-strategy is the first-level segmentation strategy; According to the first-level segmentation strategy, a ground sub-area sequence W is established, W=(w1, w2…w i …w m ), where w i is the i-th grounding sub-area; m is the number of grounding sub-areas.

10. The photovoltaic electric field grounding system based on the composite grounding body according to claim 9, characterized in that: The second processing module is further configured to: Construct a grounding model based on historical grounding parameters; Set w in sequence according to the number of ground sub-areas W i is the target grounding sub-area; Setting grounding point parameters of the target grounding sub-area according to the grounding model; Setting the primary grounding strategy of the target grounding sub-area according to the grounding point parameters; Generate the first-level grounding strategy for each grounding sub-area in sequence; Generate an operation evaluation value for each grounding sub-area according to the preset feedback time node; Determine whether to generate a correction instruction based on all the operation evaluation values.

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