Lightning protection optimization method and system for wind turbine generator and overhead line
By building equipment and environment categories, setting basic lightning protection schemes and compensation parameters, and optimizing lightning protection strategies using simulation and lightning strike correlation models, the shortcomings of the traditional method of stroke motor unit lightning protection design are solved, and more efficient lightning protection capabilities and safe operation are achieved.
Patent Information
- Application Number
- CN202510435909.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-08
- Publication Date
- 2025-07-29
AI Technical Summary
At present, the lightning protection design of wind turbine units mostly relies on traditional experience and semi-empirical analysis methods, resulting in the inability to provide overall protection and the lack of effective lightning protection system design.
Build multiple equipment categories and environmental categories, set basic lightning protection schemes and compensation parameters, conduct comprehensive analysis through simulation models and lightning strike correlation models, generate correction strategies, and optimize lightning protection schemes.
The construction efficiency of lightning protection plan and overall lightning protection capability have been improved to ensure the safe operation of wind turbines.
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Figure CN120387284A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of lightning protection for wind turbines, and particularly to a lightning protection optimization method and system for wind turbines and overhead lines. Background Art
[0002] Lightning protection for wind turbines and overhead lines is a key link in ensuring the safe and stable operation of the wind power system. Since wind power facilities are usually located in open, high, or coastal areas vulnerable to lightning strikes, lightning protection design needs to comprehensively consider factors such as direct lightning protection, induced lightning protection, grounding systems, and equipment withstand voltage capabilities.
[0003] At the current stage, when designing lightning protection for wind turbines, traditional experience and semi-empirical analysis methods are mostly relied on, resulting in certain defects in the design of the lightning protection system and being unable to provide overall protection for wind turbines and overhead lines. Summary of the Invention
[0004] The purpose of the present application is: To solve the above technical problems, the present application provides a lightning protection optimization method and system for wind turbines and overhead lines, aiming to improve the overall optimization efficiency of the lightning protection scheme for wind turbines and overhead lines, enhance the lightning protection ability, and ensure the safe operation of wind turbines.
[0005] In some embodiments of the present application, multiple equipment categories and environmental categories are constructed. By setting the basic lightning protection schemes for each equipment category and the compensation parameters in each environmental category, the primary lightning protection strategies in each lightning protection sub-region can be quickly set, flexibly adapting to the lightning protection designs of different wind turbines and improving the construction efficiency of the lightning protection scheme.
[0006] In some embodiments of the present application, by constructing a simulation model and a lightning strike correlation model, a comprehensive analysis is carried out on the primary lightning protection strategies of each lightning protection sub-region, and multiple correction sub-strategies are set based on the interference parameters between each lightning protection sub-region. The primary lightning protection strategies are corrected based on the optimization results, enabling the lightning protection scheme to reach an overall optimum, enhancing the overall lightning protection ability, and ensuring the safe operation of wind turbines.
[0007] In some embodiments of the present application, a lightning protection optimization method for wind turbines and overhead lines is provided, including: Constructing multiple lightning protection sub-regions according to the equipment parameters of wind turbines and overhead lines, and setting the primary lightning protection strategies for each lightning protection sub-region according to a preset lightning protection model; Generating the lightning strike risk values for each lightning protection sub-region according to a preset simulation model, and determining whether to generate a correction instruction based on all the lightning strike risk values; Generating the inspection evaluation values for each lightning protection sub-region according to the correction results, and setting the inspection plans for each lightning protection sub-region according to the inspection evaluation values; Among them, when setting multiple lightning protection sub - regions, it includes: Set the lightning protection sub - region sequence A, A=(a1, a2…a i …a n ), where ai is the i - th lightning protection sub - region; n is the number of lightning protection sub - regions.
[0008] In some embodiments of the present application, when presetting a lightning protection model, it includes: Traverse historical device parameters to establish multiple device categories; Establish the device category sequence B1, B1=(b 11 , b 12 …b 1i …b 1m1 ), where b 1i is the i - th device category; m1 is the number of device categories; Set the lightning protection sub - strategies for each device category in sequence; Traverse historical environmental parameters to construct multiple environmental categories; Establish the environmental category sequence B2, B2=(b 21 , b 22 …b 2i …b 2m2 ), where b 2i is the i - th environmental category; m2 is the number of device categories; Set the compensation sub - strategies for each environmental category in sequence; Construct a lightning protection model according to all lightning protection sub - strategies and all compensation sub - strategies.
[0009] In some embodiments of the present application, when setting the primary lightning protection strategy for each lightning protection sub - region, it includes: Set a i as the target lightning protection sub - region in sequence according to the lightning protection sub - region sequence A; Obtain the device data packet and environmental data packet of the target lightning protection sub - region; The lightning protection model generates a characteristic data packet of the target lightning protection sub - region according to the pre - processing results of the device data packet and environmental data packet; Generate the primary lightning protection strategy of the target lightning protection sub - region according to the characteristic data packet; Generate the primary lightning protection strategies of each lightning protection sub - region in sequence.
[0010] In some embodiments of the present application, when generating the lightning strike risk value of each lightning protection sub - region according to a preset simulation model, it includes: Establish a lightning strike association model according to all lightning protection sub - regions; Set a i as the target lightning protection sub - region in sequence according to the lightning protection sub - region sequence A; Generate the lightning strike risk value c of the target lightning protection sub-region according to the preset simulation model; c = e1 × Q1 × η i × s i + e2 × Q2 × j i ; Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q is the preset second fixed coefficient; is the number of risk indicators; η i is the influence factor of the i-th risk indicator; s i is the reference value of the i-th risk indicator generated based on the primary lightning protection strategy of the target lightning protection sub-region; 2 is the number of associated sub-regions of the target lightning protection sub-region; j i is the lightning strike interference value of the target lightning protection sub-region on the i-th associated sub-region generated based on the primary lightning protection strategy; Generate the lightning strike risk values of each lightning protection sub-region in sequence; Establish a lightning strike risk value sequence C, C = (c1, c2…c i …c n ), where c i is the lightning strike risk value of the i-th lightning protection sub-region.
[0011] In some embodiments of the present application, when judging whether to generate a correction instruction according to all lightning strike risk values, it includes: Preset a lightning strike risk value threshold C1; Obtain the maximum value c max ; If c max < C1, do not generate a correction instruction; If c max > C1, generate a primary correction instruction; Wherein, the primary correction instruction includes: Generate multiple correction sub-strategies according to the lightning strike risk value sequence C; Establish a correction sub-strategy sequence W, W = (w1, w2…w i …w r ), where w i is the i-th correction sub-strategy; r is the number of correction sub-strategies; Generate the optimization evaluation values of each correction sub-strategy in sequence; Set the correction sub-strategy corresponding to the maximum value among all optimization evaluation values as the primary correction strategy.
[0012] In some embodiments of the present application, when generating the optimization evaluation values of each correction sub-strategy, it includes: Set w successively according to the modified sub-strategy sequence W i as the target modified sub-strategy; Generate the optimization evaluation value d of the target modified sub-strategy; d = e3 × Q3 × β i × k i + e4 × Q4 × c' i ; Wherein, 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; is the number of evaluation indicators; β i is the influence factor of the i-th evaluation indicator; k i is the reference value of the i-th evaluation indicator generated based on the target modified sub-strategy; c' i is the secondary risk value of the i-th lightning protection sub-region generated based on the target modified sub-strategy; Generate the optimization evaluation values of each modified sub-strategy successively.
[0013] In some embodiments of the present application, when setting the inspection plan for each lightning protection sub-region according to the inspection evaluation value, it includes: Set a successively according to the lightning protection sub-region sequence A i as the target lightning protection sub-region; Generate the secondary lightning protection strategy of the target lightning protection sub-region according to the correction result; Set the inspection line of the target lightning protection sub-region according to the secondary lightning protection strategy; Generate the inspection evaluation value f of the target lightning protection sub-region; f = α i × h i ; Wherein, is the number of inspection indicators; α i is the influence factor of the i-th inspection indicator; h i is the reference value of the i-th inspection indicator in the target lightning protection sub-region; Set the inspection period of the target lightning protection sub-region according to the inspection evaluation value f; Set the sub-inspection plan of the target lightning protection sub-region according to the inspection line and the inspection period; Set the sub-inspection plans of each lightning protection sub-region successively.
[0014] In some embodiments of the present application, a lightning protection optimization system for a wind turbine and an overhead line is provided, including: The central control unit is used to construct multiple lightning protection sub - regions according to the equipment parameters of the wind turbine and the overhead line, and set the primary lightning protection strategies for each lightning protection sub - region according to the preset lightning protection model; The correction unit is used to generate the lightning strike risk values of each lightning protection sub - region according to the preset simulation model, and judge whether to generate a correction instruction according to all the lightning strike risk values; The inspection unit is used to generate the inspection evaluation values of each lightning protection sub - region according to the correction results, and set the inspection plans for each lightning protection sub - region according to the inspection evaluation values; Among them, the central control unit includes: The first processing module is used to set the lightning protection sub - region sequence A, A=(a1, a2…a i …a n ), where ai is the i - th lightning protection sub - region; n is the number of lightning protection sub - regions; The second processing module is used to traverse the historical equipment parameters to establish multiple equipment categories; Establish the equipment category sequence B1, B1=(b 11 , b 12 …b 1i …b 1m1 ), where b 1i is the i - th equipment category; m1 is the number of equipment categories; Sequentially set the lightning protection sub - strategies for each equipment category; Traverse the historical environmental parameters to construct multiple environmental categories; Establish the environmental category sequence B2, B2=(b 21 , b 22 …b 2i …b 2m2 ), where b 2i is the i - th environmental category; m2 is the number of equipment categories; Sequentially set the compensation sub - strategies for each environmental category; Construct a lightning protection model according to all the lightning protection sub - strategies and all the compensation sub - strategies; The third processing module is used to sequentially set ai as the target lightning protection sub - region according to the lightning protection sub - region sequence A; Obtain the equipment data packet and the environmental data packet of the target lightning protection sub - region; The lightning protection model generates the characteristic data packet of the target lightning protection sub - region according to the pre - processing results of the equipment data packet and the environmental data packet; Generate the primary lightning protection strategy of the target lightning protection sub - region according to the characteristic data packet; Sequentially generate the primary lightning protection strategies of each lightning protection sub - region.
[0015] In some embodiments of the present application, the correction unit includes: The first correction module is used to establish a lightning strike association model based on all lightning protection sub - regions; Set \(a\) successively according to the lightning protection sub - region sequence \(A\) i as the target lightning protection sub - region; Generate the lightning strike risk value \(c\) of the target lightning protection sub - region according to the preset simulation model; \(c = e1×Q1×\) \(\eta\) i \(×s\) i \(]+e2×Q2×\) \(j\) i \(;\) Where \(e1\) is the preset first weight coefficient; \(e2\) is the preset second weight coefficient; \(Q1\) is the preset first fixed coefficient; \(Q\) is the preset second fixed coefficient; is the number of risk indicators; \(\eta\) i is the influence factor of the \(i\) - th risk indicator; \(s\) i is the reference value of the \(i\) - th risk indicator generated based on the primary lightning protection strategy of the target lightning protection sub - region; 2 is the number of associated sub - regions of the target lightning protection sub - region; \(j\) i is the lightning strike interference value of the target lightning protection sub - region on the \(i\) - th associated sub - region generated based on the primary lightning protection strategy; Generate the lightning strike risk values of each lightning protection sub - region in turn; Establish a lightning strike risk value sequence \(C\), \(C=(c1,c2…c\) i …c\) n \()\), where \(c\) i is the lightning strike risk value of the \(i\) - th lightning protection sub - region; The second correction module is used to preset the lightning strike risk value threshold \(C1\); Obtain the maximum value \(c\) in the lightning strike risk value sequence \(C\) max ;\) If \(c\) max \(<C1\), no correction instruction is generated; If \(c\) max \(>C1\), generate a primary correction instruction; Where the primary correction instruction includes: Generate multiple correction sub - strategies according to the lightning strike risk value sequence \(C\); Establish a correction sub - strategy sequence \(W\), \(W=(w1,w2…w\) i …w\) r \()\), where \(w\) i is the \(i\) - th correction sub - strategy; \(r\) is the number of correction sub - strategies; Generate the optimization evaluation values of each correction sub - strategy in turn; Set the correction sub - strategy corresponding to the maximum value among all optimization evaluation values as the primary correction strategy.
[0016] In some embodiments of the present application, the inspection unit includes: A first control module for sequentially setting a i as the target lightning protection sub - area according to the lightning protection sub - area sequence number column A; Generating a secondary lightning protection strategy for the target lightning protection sub - area according to the correction result; Setting an inspection route for the target lightning protection sub - area according to the secondary lightning protection strategy; Generating an inspection evaluation value f for the target lightning protection sub - area; f = α i ×h i ; Wherein, is the number of inspection indicators; α i is the influence factor of the i - th inspection indicator; h i is the reference value of the i - th inspection indicator in the target lightning protection sub - area; Setting an inspection period for the target lightning protection sub - area according to the inspection evaluation value f; Setting a sub - inspection plan for the target lightning protection sub - area according to the inspection route and the inspection period; Sequentially setting sub - inspection plans for each lightning protection sub - area.
[0017] Compared with the prior art, the beneficial effects of an optimization method and system for lightning protection of a wind turbine and an overhead line according to an embodiment of the present application are as follows: By constructing multiple equipment categories and environmental categories, and setting the basic lightning protection schemes for each equipment category and the compensation parameters in each environmental category, the primary lightning protection strategies in each lightning protection sub - area can be quickly set, flexibly adapting to the lightning protection designs of different wind turbines and improving the construction efficiency of the lightning protection scheme.
[0018] By constructing a simulation model and a lightning strike correlation model, comprehensively analyzing the primary lightning protection strategies of each lightning protection sub - area, setting multiple correction sub - strategies based on the interference parameters between each lightning protection sub - area, and correcting each primary lightning protection strategy based on the optimization result, the lightning protection scheme can reach an overall optimum, improving the overall lightning protection ability and ensuring the safe operation of the wind turbine. Brief Description of the Drawings
[0019] Figure 1 is a schematic flow chart of an optimization method for lightning protection of a wind turbine and an overhead line in a preferred embodiment of an embodiment of the present application. Detailed Embodiments
[0020] The following will further describe in detail the specific implementation manners of the present application with reference to the drawings and embodiments. The following embodiments are used to illustrate the present application but are not used to limit the scope of the present application.
[0021] In the description of the present application, it should be understood that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation to the present application.
[0022] The terms "first" and "second" are only used for descriptive purposes and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present application, unless otherwise specified, the meaning of "a plurality" is two or more.
[0023] In the description of the present application, it should be noted that unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific circumstances.
[0024] As Figure 1 shown, a lightning protection optimization method for a wind turbine and an overhead line according to a preferred embodiment of the present application embodiment includes: S101: Construct a plurality of lightning protection sub-areas according to the equipment parameters of the wind turbine and the overhead line, and set the primary lightning protection strategy for each lightning protection sub-area according to a preset lightning protection model; S102: Generate the lightning strike risk value for each lightning protection sub-area according to a preset simulation model, and determine whether to generate a correction instruction according to all the lightning strike risk values; S103: Generate the inspection evaluation value for each lightning protection sub-area according to the correction result, and set the inspection plan for each lightning protection sub-area according to the inspection evaluation value; Among them, when setting a plurality of lightning protection sub-areas, it includes: Set the lightning protection sub-area sequence A, A = (a1, a2... a i ... a n ), where ai is the i-th lightning protection sub-area; n is the number of lightning protection sub-areas.
[0025] Specifically, traverse all the wind turbine and overhead line parameters and combine the position parameters to construct a plurality of lightning protection sub-areas, and each single lightning protection sub-area includes one or more wind power equipment.
[0026] Specifically, when presetting the lightning protection model, it includes: Traverse historical device parameters to establish multiple device categories; Establish a sequence of device categories B1, B1 = (b 11 , b 12 … b 1i … b 1m1 ), where b 1i is the i-th device category; m1 is the number of device categories; Set the lightning protection sub-strategies for each device category in sequence; Traverse historical environmental parameters to construct multiple environmental categories; Establish a sequence of environmental categories B2, B2 = (b 21 , b 22 … b 2i … b 2m2 ), where b 2i is the i-th environmental category; m2 is the number of device categories; Set the compensation sub-strategies for each environmental category in sequence; Construct a lightning protection model based on all lightning protection sub-strategies and all compensation sub-strategies.
[0027] Specifically, by analyzing historical device parameters, multiple device categories are constructed, and the device categories include but are not limited to various types of wind turbines, various types of overhead lines, tower poles and other devices.
[0028] Specifically, according to the device characteristics corresponding to different device categories, the necessary lightning protection measures are set (for example, for the device characteristics of wind turbines, lightning arresters (lightning rods or lightning strips) are installed at the top of the nacelle and the tips of the blades, and lightning conductors + lightning arresters + low grounding resistance + reclosing are used on high lightning risk lines. Lightning conductors / lightning arresters are selected and installed + insulation is strengthened on medium risk lines; on low risk lines: only insulation is strengthened or reclosing is relied on), thereby generating the lightning protection sub-strategies for each device category.
[0029] Specifically, the lightning protection sub-strategy for a single device category refers to the most basic lightning protection measures required for the current device category.
[0030] Specifically, the compensation sub-strategy for a single environmental category includes the parameters of the lightning protection devices that need to be adjusted for each device category in the current environmental category.
[0031] It can be understood that in the above embodiments, by constructing multiple device categories and environmental categories, by setting the basic lightning protection schemes for each device category and the compensation parameters in each environmental category, the primary lightning protection strategies in each lightning protection sub-region are quickly set, flexibly adapting to the lightning protection design of different wind turbines and improving the construction efficiency of the lightning protection scheme.
[0032] In the preferred embodiments of the embodiments of the present application, when setting the primary lightning protection strategy for each lightning protection sub-region, it includes: Set a i as the target lightning protection sub-region according to the lightning protection sub-region sequence A; Obtain the device data packet and environmental data packet of the target lightning protection sub-region; The lightning protection model generates a characteristic data packet of the target lightning protection sub-region according to the preprocessing results of the device data packet and environmental data packet; Generate the primary lightning protection strategy for the target lightning protection sub-region according to the characteristic data packet; Generate the primary lightning protection strategies for each lightning protection sub-region in sequence.
[0033] Specifically, judge the device category and the environmental category of the target lightning protection sub-region according to the characteristic data packet, and generate the primary lightning protection strategy for the target lightning protection sub-region according to the corresponding lightning protection sub-strategy and compensation sub-strategy.
[0034] Specifically, the primary lightning protection strategy includes the type and quantity of lightning protection equipment that needs to be added in the current target lightning protection sub-region, and improvement measures for the wind turbine equipment and overhead lines in the target lightning protection sub-region, etc.
[0035] Specifically, when generating the lightning strike risk value for each lightning protection sub-region according to the preset simulation model, it includes: Establish a lightning strike correlation model according to all lightning protection sub-regions; Set a i as the target lightning protection sub-region according to the lightning protection sub-region sequence A; Generate the lightning strike risk value c of the target lightning protection sub-region according to the preset simulation model; c = e1 × Q1 × η i × s i + e2 × Q2 × j i ; Wherein, e1 is a preset first weight coefficient; e2 is a preset second weight coefficient; Q1 is a preset first fixed coefficient; Q is a preset second fixed coefficient; is the number of risk indicators; η i is the influence factor of the i-th risk indicator; s i is the reference value of the i-th risk indicator generated based on the primary lightning protection strategy of the target lightning protection sub-region; 2 is the number of associated sub-regions of the target lightning protection sub-region; j i is the lightning strike interference value of the target lightning protection sub-region generated based on the primary lightning protection strategy for the i-th associated sub-region; Generate the lightning strike risk values for each lightning protection sub-region in sequence; Establish a lightning strike risk value sequence C, C = (c1, c2…c i …c n ), where c i is the lightning strike risk value of the i-th lightning protection sub-region.
[0036] Specifically, the risk indicators include, but are not limited to, the frequency of lightning strikes in the target lightning protection sub-region, the maximum damage value of lightning strikes, the ratio between the lightning strike amount that the current primary lightning protection strategy can absorb and the maximum lightning strike amount, the lightning strike spillover risk, etc. By quantifying each risk indicator, a comprehensive evaluation of the primary lightning protection strategy is achieved.
[0037] Specifically, the lightning strike interference value refers to the simulation model simulating all primary lightning protection strategies, and generating corresponding lightning strike interference values according to the lightning strike spillover risks in each lightning protection sub-region. If the lightning strike spillover risk of the i-th associated sub-region of the target lightning protection sub-region is greater, the corresponding lightning strike interference value is greater.
[0038] Specifically, the lightning strike spillover risk refers to the lightning strike interference generated for adjacent associated sub-regions when a lightning strike occurs in the current lightning protection sub-region.
[0039] Specifically, by presetting a first fixed coefficient and a second fixed coefficient, each parameter in the model is normalized, so that each parameter in the model is within the same value range.
[0040] Specifically, the greater the lightning strike risk value, the worse the overall lightning protection ability in the current lightning protection sub-region, the greater the possibility of lightning strike accidents, and the primary lightning protection strategy in the lightning protection sub-region needs to be optimized in a timely manner.
[0041] It can be understood that in the above embodiments, by constructing a simulation model and a lightning strike association model, a comprehensive analysis of the primary lightning protection strategies of each lightning protection sub-region is carried out, and multiple correction sub-strategies are set based on the interference parameters between each lightning protection sub-region, so that the lightning protection plan reaches the overall optimum, improves the overall lightning protection ability, and ensures the safe operation of the wind turbine.
[0042] In the preferred embodiment of the present application, when judging whether to generate a correction instruction according to all lightning strike risk values, it includes: Preset a lightning strike risk value threshold C1; Obtain the maximum value c max ; If c max < C1, do not generate a correction instruction; If c max > C1, generate a primary correction instruction; Among them, the primary correction instruction includes: Generate multiple corrective sub - strategies according to the lightning strike risk value sequence C; Establish a corrective sub - strategy sequence W, W=(w1, w2…w i …w r ), where w i is the i - th corrective sub - strategy; r is the number of corrective sub - strategies; Generate the optimization evaluation values of each corrective sub - strategy in turn; Set the corrective sub - strategy corresponding to the maximum value among all the optimization evaluation values as the first - level corrective strategy.
[0043] Specifically, set the lightning strike risk value threshold according to historical parameters.
[0044] Specifically, when generating the optimization evaluation values of each corrective sub - strategy, it includes: Set w i as the target corrective sub - strategy in turn according to the corrective sub - strategy sequence W; Generate the optimization evaluation value d of the target corrective sub - strategy; d = e3×Q3× β i ×k i +e4×Q4× c' i ; Where 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; is the number of evaluation indicators; β i is the influence factor of the i - th evaluation indicator; k i is the reference value of the i - th evaluation indicator generated based on the target corrective sub - strategy; c' i is the secondary risk value of the i - th lightning protection sub - area generated based on the target corrective sub - strategy; Generate the optimization evaluation values of each corrective sub - strategy in turn.
[0045] Specifically, the first - level corrective strategy means setting the lightning protection sub - areas with lightning strike risk values greater than the preset lightning strike risk value threshold as the sub - areas to be adjusted. Add new lightning protection devices in the sub - areas to be adjusted or their associated sub - areas, and add new lightning protection devices in some lightning protection sub - areas. According to the different numbers of added lightning protection devices and different adjustment areas, generate multiple first - level corrective strategies.
[0046] Specifically, the evaluation indicators include but are not limited to parameters such as the cost of newly added lightning protection devices and the uniformity of lightning protection capabilities of each lightning protection sub - area after correction.
[0047] Specifically, the evaluation criteria for the secondary risk value are the same as those for the lightning strike risk value.
[0048] Specifically, the larger the optimized evaluation value is, it indicates that the current correction sub-strategy has a greater overall optimization benefit for the overall lightning protection scheme of all regions, and can more effectively reduce the overall lightning strike fault risk.
[0049] In a preferred embodiment of the present application, when setting the inspection plans for each lightning protection sub-region according to the inspection evaluation value, it includes: Sequentially set a i as the target lightning protection sub-region according to the lightning protection sub-region sequence A; Generate a secondary lightning protection strategy for the target lightning protection sub-region according to the correction result; Set the inspection line of the target lightning protection sub-region according to the secondary lightning protection strategy; Generate the inspection evaluation value f of the target lightning protection sub-region; f = α i × h i ; Wherein, is the number of inspection indicators; α i is the influence factor of the i-th inspection indicator; h i is the reference value of the i-th inspection indicator in the target lightning protection sub-region; Set the inspection period of the target lightning protection sub-region according to the inspection evaluation value f; Set the sub-inspection plan of the target lightning protection sub-region according to the inspection line and the inspection period; Sequentially set the sub-inspection plans of each lightning protection sub-region.
[0050] Specifically, the inspection indicators include but are not limited to multiple parameters such as the number of lightning protection devices in the lightning protection sub-region, the points to be monitored, the lightning strike frequency, the lightning strike damage value, and the importance degree of the wind turbine generator equipment. By quantifying each inspection indicator, the inspection evaluation of each lightning protection sub-region can be realized.
[0051] Specifically, the larger the inspection evaluation value is, it indicates that the possibility of potential operation risks of the lightning protection devices in the current lightning protection sub-region is greater. By dynamically adjusting the inspection strategy, potential faults of each lightning protection device can be warned in time to ensure the lightning protection efficiency of the wind turbine generator.
[0052] Based on another preferred embodiment of the lightning protection optimization method for a wind turbine generator and an overhead line in any of the above preferred embodiments, a lightning protection optimization system for a wind turbine generator and an overhead line is provided in this preferred embodiment, including: A central control unit, configured to construct multiple lightning protection sub-regions according to the equipment parameters of the wind turbine generator and the overhead line, and set the primary lightning protection strategy for each lightning protection sub-region according to a preset lightning protection model; A correction unit, configured to generate lightning strike risk values for each lightning protection sub-region according to a preset simulation model, and determine whether to generate a correction instruction based on all the lightning strike risk values; An inspection unit, configured to generate inspection evaluation values for each lightning protection sub-region according to the correction result, and set inspection plans for each lightning protection sub-region according to the inspection evaluation values; Among them, the central control unit includes: A first processing module, configured to set a sequence of lightning protection sub-regions A, A = (a1, a2... a i ... a n ), where ai is the i-th lightning protection sub-region; n is the number of lightning protection sub-regions; A second processing module, configured to traverse historical device parameters to establish multiple device categories; Establish a sequence of device categories B1, B1 = (b 11 , b 12 ... b 1i ... b 1m1 ), where b 1i is the i-th device category; m1 is the number of device categories; Sequentially set lightning protection sub-strategies for each device category; Traverse historical environmental parameters to construct multiple environmental categories; Establish a sequence of environmental categories B2, B2 = (b 21 , b 22 ... b 2i ... b 2m2 ), where b 2i is the i-th environmental category; m2 is the number of device categories; Sequentially set compensation sub-strategies for each environmental category; Construct a lightning protection model according to all the lightning protection sub-strategies and all the compensation sub-strategies; A third processing module, configured to sequentially set ai as the target lightning protection sub-region according to the sequence of lightning protection sub-regions A; Obtain the device data packet and environmental data packet of the target lightning protection sub-region; The lightning protection model generates a feature data packet of the target lightning protection sub-region according to the preprocessing results of the pre-device data packet and environmental data packet; Generate a primary lightning protection strategy for the target lightning protection sub-region according to the feature data packet; Sequentially generate primary lightning protection strategies for each lightning protection sub-region.
[0053] In a preferred embodiment of the embodiment of the present application, the correction unit includes: A first correction module, configured to establish a lightning strike association model according to all the lightning protection sub-regions; Sequentially set a i as the target lightning protection sub-region according to the sequence of lightning protection sub-regions A; Generate the lightning strike risk value c of the target lightning protection sub - area according to the preset simulation model; c = e1×Q1× η i ×s i +e2×Q2× j i ; Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q is the preset second fixed coefficient; is the number of risk indicators; η i is the influence factor of the i - th risk indicator; s i is the reference value of the i - th risk indicator generated based on the primary lightning protection strategy of the target lightning protection sub - area; 2 is the number of associated sub - areas of the target lightning protection sub - area; j i is the lightning strike interference value of the target lightning protection sub - area on the i - th associated sub - area generated based on the primary lightning protection strategy; Generate the lightning strike risk values of each lightning protection sub - area in sequence; Establish a lightning strike risk value sequence C, C=(c1, c2…c i …c n ), where c i is the lightning strike risk value of the i - th lightning protection sub - area; The second correction module is used to preset the lightning strike risk value threshold C1; Obtain the maximum value c max ; If c max <C1, no correction instruction is generated; If c max >C1, generate a primary correction instruction; Among them, the primary correction instruction includes: Generate multiple correction sub - strategies according to the lightning strike risk value sequence C; Establish a correction sub - strategy sequence W, W=(w1, w2…w i …w r ), where w i is the i - th correction sub - strategy; r is the number of correction sub - strategies; Generate the optimization evaluation values of each correction sub - strategy in sequence; Set the correction sub - strategy corresponding to the maximum value among all the optimization evaluation values as the primary correction strategy.
[0054] In the preferred embodiment of this application, the inspection unit includes: The first control module is used to sequentially set a i as the target lightning protection sub - area according to the lightning protection sub - area sequence A; Generate a secondary lightning protection strategy for the target lightning protection sub-region according to the correction result; Set the inspection route for the target lightning protection sub-region according to the secondary lightning protection strategy; Generate an inspection evaluation value f for the target lightning protection sub-region; f = α i × h i ; Wherein, is the number of inspection indicators; α i is the influence factor of the i-th inspection indicator; h i is the reference value of the i-th inspection indicator in the target lightning protection sub-region; Set the inspection period for the target lightning protection sub-region according to the inspection evaluation value f; Set the sub-inspection plan for the target lightning protection sub-region according to the inspection route and inspection period; Set the sub-inspection plans for each lightning protection sub-region in sequence.
[0055] According to the first concept of the present application, construct multiple equipment categories and environmental categories, and quickly set the primary lightning protection strategies within each lightning protection sub-region by setting the basic lightning protection schemes for each equipment category and the compensation parameters in each environmental category, so as to flexibly adapt to the lightning protection designs of different wind turbines and improve the construction efficiency of the lightning protection scheme.
[0056] According to the second concept of the present application, through constructing a simulation model and a lightning strike correlation model, comprehensively analyze the primary lightning protection strategies of each lightning protection sub-region, set multiple correction sub-strategies based on the interference parameters between each lightning protection sub-region, and correct each primary lightning protection strategy based on the optimization result, so that the lightning protection scheme reaches the overall optimum, improves the overall lightning protection ability, and ensures the safe operation of the wind turbine.
[0057] The above are only the preferred embodiments of the present application. It should be noted that for those of ordinary skill in the art, without departing from the technical principle of the present application, several improvements and replacements can still be made, and these improvements and replacements should also be regarded as the protection scope of the present application.
Claims
1. A lightning protection optimization method for a wind turbine and an overhead line, characterized in that Including: Construct multiple lightning protection sub - regions according to the equipment parameters of the wind turbine and the overhead line, and set the primary lightning protection strategies for each lightning protection sub - region according to the preset lightning protection model; Generate the lightning strike risk values for each lightning protection sub - region according to the preset simulation model, and determine whether to generate a correction instruction based on all the lightning strike risk values; Generate the inspection evaluation values for each lightning protection sub - region according to the correction results, and set the inspection plans for each lightning protection sub - region according to the inspection evaluation values; Among them, when setting multiple lightning protection sub - regions, it includes: Set the lightning protection sub - area sequence A, A=(a1, a2…a i …a n ), where ai is the i - th lightning protection sub - area; n is the number of lightning protection sub - areas.
2. The lightning protection optimization method for a wind turbine generator set and an overhead line according to claim 1, wherein When presetting the lightning protection model, it includes: Traverse the historical equipment parameters to establish multiple equipment categories; Establish a sequence of device categories B1, B1 = (b 11 , b 12 … b 1i … b 1m1 ), where b 1i is the i-th device category; m1 is the number of device categories; Set the lightning protection sub - strategies for each equipment category in sequence; Traverse the historical environmental parameters to construct multiple environmental categories; Establish an environmental category sequence B2, B2 = (b 21 , b 22 … b 2i … b 2m2 ), where b 2i is the i-th environmental category; m2 is the number of equipment categories; Set the compensation sub - strategies for each environmental category in sequence; Construct a lightning protection model according to all the lightning protection sub - strategies and all the compensation sub - strategies.
3. The lightning protection optimization method for a wind turbine and an overhead line according to claim 2, characterized in that When setting the primary lightning protection strategies for each lightning protection sub - region, it includes: Set a according to the lightning protection sub-region sequence A in turn i as the target lightning protection sub-region; Obtain the equipment data packet and the environmental data packet of the target lightning protection sub - region; The lightning protection model generates the characteristic data packet of the target lightning protection sub - region according to the pre - processing results of the equipment data packet and the environmental data packet; Generate the primary lightning protection strategy of the target lightning protection sub - region according to the characteristic data packet; Generate the primary lightning protection strategies of each lightning protection sub - region in sequence.
4. The lightning protection optimization method for a wind turbine and an overhead line according to claim 3, characterized in that, When generating the lightning strike risk values for each lightning protection sub - region according to the preset simulation model, it includes: Establish a lightning strike association model according to all the lightning protection sub - regions; Set a according to the lightning protection sub-region sequence A in turn i as the target lightning protection sub-region; Generate the lightning strike risk value c of the target lightning protection sub - region according to the preset simulation model; c = e1 × Q1 × η i × s i + e2 × Q2 × j i ; Among them, e1 is a preset first weight coefficient; e2 is a preset second weight coefficient; Q1 is a preset first fixed coefficient; Q is a preset second fixed coefficient; is the number of risk indicators; η i is the impact factor of the i-th risk indicator; s i is the reference value of the i-th risk indicator generated based on the first-level lightning protection strategy for the target lightning protection sub-region; 2 is the number of associated sub-regions of the target lightning protection sub-region; j i is the lightning strike interference value of the target lightning protection sub-region on the i-th associated sub-region generated based on the first-level lightning protection strategy; Generate the lightning strike risk values of each lightning protection sub - region in sequence; Establish a lightning strike risk value sequence C, C = (c1, c2…c i …c n ), where c i is the lightning strike risk value of the i-th lightning protection sub-region.
5. The lightning protection optimization method for a wind turbine and an overhead line according to claim 4, characterized in that, When determining whether to generate a correction instruction based on all the lightning strike risk values, it includes: Preset the lightning strike risk value threshold C1; Obtain the maximum value c in the lightning strike risk value sequence C max ; If c max <C1, no correction instruction is generated; If c max > C1, generate a first-level correction instruction; Among them, the primary correction instruction includes: Generate multiple correction sub - strategies according to the lightning strike risk value sequence C; Establish a sequence of corrective sub-strategies \(W\), \(W=(w_1, w_2 \ldots w i \ldots w r ), where \(w i \) is the \(i\)-th corrective sub-strategy; \(r\) is the number of corrective sub-strategies; Generate the optimization evaluation values of each correction sub - strategy in sequence; Set the correction sub - strategy corresponding to the maximum value among all the optimization evaluation values as the primary correction strategy.
6. The lightning protection optimization method for a wind turbine generator set and an overhead line according to claim 5, characterized in that, When generating the optimization evaluation values of each correction sub - strategy, it includes: Set \(w\) successively according to the modified sub-strategy sequence \(W\). i as the target modified sub-strategy; Generate the optimization evaluation value d of the target correction sub - strategy; d = e3×Q3× β i ×k i +e4×Q4× c' i ; Among them, e3 is a preset third weight coefficient; e4 is a preset fourth weight coefficient; Q3 is a preset third fixed coefficient; Q4 is a preset fourth fixed coefficient; is the number of evaluation indicators; β i is the influence factor of the i-th evaluation indicator; k i is the reference value of the i-th evaluation indicator generated based on the target correction sub-strategy; c' i is the secondary risk value of the i-th lightning protection sub-region generated based on the target correction sub-strategy; Generate the optimization evaluation values of each correction sub - strategy in sequence.
7. The lightning protection optimization method for a wind turbine generator set and an overhead line according to claim 6, characterized in that When setting the inspection plans for each lightning protection sub - region according to the inspection evaluation values, it includes: Set a according to the lightning protection sub-region sequence A in turn i as the target lightning protection sub-region; Generate the secondary lightning protection strategy of the target lightning protection sub - region according to the correction results; Set the inspection route of the target lightning protection sub - region according to the secondary lightning protection strategy; Generate the inspection evaluation value f of the target lightning protection sub - region; f = α i × h i ; Among them, is the number of inspection indicators; α i is the influence factor of the i-th inspection indicator; h i is the reference value of the i-th inspection indicator in the target lightning protection sub-region; Set the inspection period of the target lightning protection sub - region according to the inspection evaluation value f; Set the sub - inspection plan of the target lightning protection sub - region according to the inspection route and the inspection period; Set the sub - inspection plans of each lightning protection sub - region in sequence.
8. A lightning protection optimization system for a wind turbine and an overhead line, which adopts the lightning protection optimization method for a wind turbine and an overhead line described in any one of the above-mentioned claims 1-7, and is characterized in that, Including: The central control unit is used to construct multiple lightning protection sub - regions according to the equipment parameters of the wind turbine and the overhead line, and set the primary lightning protection strategies for each lightning protection sub - region according to the preset lightning protection model; The correction unit is used to generate the lightning strike risk values for each lightning protection sub - region according to the preset simulation model, and determine whether to generate a correction instruction based on all the lightning strike risk values; The inspection unit is used to generate the inspection evaluation values for each lightning protection sub - region according to the correction results, and set the inspection plans for each lightning protection sub - region according to the inspection evaluation values; Among them, the central control unit includes: The first processing module is used to set a lightning protection sub - area sequence A, A=(a1, a2…a i …a n ), where ai is the i - th lightning protection sub - area; n is the number of lightning protection sub - areas; The second processing module is used to traverse historical device parameters to establish multiple device categories; Establish a sequence of device categories B1, B1 = (b 11 , b 12 … b 1i … b 1m1 ), where b 1i is the i-th device category; m1 is the number of device categories; Set the lightning protection sub-strategies for each device category in sequence; Traverse historical environmental parameters to construct multiple environmental categories; Establish an environmental category sequence B2, B2 = (b 21 , b 22 …b 2i …b 2m2 ), where b 2i is the i-th environmental category; m2 is the number of equipment categories; Set the compensation sub-strategies for each environmental category in sequence; Construct a lightning protection model based on all lightning protection sub-strategies and all compensation sub-strategies; The third processing module is used to set ai as the target lightning protection sub-region according to the lightning protection sub-region sequence A in turn; Obtain the device data packet and environmental data packet of the target lightning protection sub-region; The lightning protection model generates a feature data packet of the target lightning protection sub-region according to the preprocessing results of the device data packet and environmental data packet; Generate a primary lightning protection strategy for the target lightning protection sub-region according to the feature data packet; Generate the primary lightning protection strategies for each lightning protection sub-region in sequence.
9. The lightning protection optimization system for a wind turbine and an overhead line according to claim 8, characterized in that, The correction unit includes: The first correction module is used to establish a lightning strike association model based on all lightning protection sub-regions; Set a according to the lightning protection sub-region sequence A in turn i as the target lightning protection sub-region; Generate the lightning strike risk value c of the target lightning protection sub-region according to the preset simulation model; c = e1 × Q1 × η i × s i + e2 × Q2 × j i ; Among them, e1 is a preset first weight coefficient; e2 is a preset second weight coefficient; Q1 is a preset first fixed coefficient; Q is a preset second fixed coefficient; is the number of risk indicators; η i is the influence factor of the i-th risk indicator; s i is the reference value of the i-th risk indicator generated based on the first-level lightning protection strategy of the target lightning protection sub-region; 2 is the number of associated sub-regions of the target lightning protection sub-region; j i is the lightning strike interference value of the target lightning protection sub-region generated based on the first-level lightning protection strategy on the i-th associated sub-region; Generate the lightning strike risk values of each lightning protection sub-region in sequence; Establish a lightning strike risk value sequence C, C = (c1, c2…c i …c n ), where c i is the lightning strike risk value of the i-th lightning protection sub-region; The second correction module is used to preset the lightning strike risk value threshold C1; Obtain the maximum value c in the lightning strike risk value sequence C max ; If c max <C1, no correction instruction is generated; If c max > C1, generate a first-level correction instruction; Among them, the primary correction instruction includes: Generate multiple correction sub-strategies according to the lightning strike risk value sequence C; Establish a sequence of corrective sub-strategies \(W\), \(W=(w_1, w_2 \ldots w i \ldots w r ), where \(w i \) is the \(i\)-th corrective sub-strategy; \(r\) is the number of corrective sub-strategies; Generate the optimization evaluation values of each correction sub-strategy in sequence; Set the correction sub-strategy corresponding to the maximum value among all optimization evaluation values as the primary correction strategy.
10. The lightning protection optimization system for a wind turbine and an overhead line according to claim 9, wherein, The inspection unit includes: The first control module is used to sequentially set a according to the lightning protection sub-region sequence A i as the target lightning protection sub-region; Generate a secondary lightning protection strategy for the target lightning protection sub-region according to the correction result; Set the inspection route of the target lightning protection sub-region according to the secondary lightning protection strategy; Generate the inspection evaluation value f of the target lightning protection sub-region; f= α i ×h i ; Among them, is the number of inspection indicators; α i is the influence factor of the i-th inspection indicator; h i is the reference value of the i-th inspection indicator in the target lightning protection sub-region; Set the inspection period of the target lightning protection sub-region according to the inspection evaluation value f; Set the sub-inspection plan of the target lightning protection sub-region according to the inspection route and inspection period; Set the sub-inspection plans of each lightning protection sub-region in sequence.