Wind-Solar Powered LED Lighting Energy Efficiency Distribution System

Abstract

This invention relates to the field of power distribution technology, specifically a wind-solar powered LED lighting energy efficiency distribution system. The system includes a power supply initiation identification module, a load allocation and sorting module, a power supply channel assignment module, a lighting behavior identification module, and an output current control module. In this invention, by classifying and sorting disturbance paths during the power supply phase, and combining the frequency of overlapping sections to construct a basis for interference intensity, the priority and primary / secondary path configuration of lighting paths are reorganized. Load attribution relationships are clarified, a path connection network is constructed, and the boundaries of overlapping areas are delineated. High-frequency lighting behavior paths are identified and archived. Control levels and adjustment sequences are set according to the degree of power output deviation. This achieves dynamic identification of lighting paths, optimization of load allocation structure, clear power supply channel logic, and layered energy efficiency control strategies, effectively enhancing the coordination and execution efficiency of multi-source power supply systems in lighting response management.

Description

Technical Field

[0001] This invention relates to the field of power distribution technology, and more particularly to a wind and solar powered LED lighting energy efficiency distribution system. Background Technology

[0002] The field of power distribution technology involves the scheduling, priority allocation, and energy efficiency management of electrical energy among multiple electrical devices. Core aspects include the overall planning of different power supply paths, the design of power supply strategies for various load devices, and their energy efficiency optimization control. It encompasses energy regulation strategies in distributed power supply systems, coordinated conversion of power input from multiple sources, and power flow allocation and scheduling mechanisms based on real-time load data. This technology is widely used in smart grids, distributed energy systems, and power automation control systems, aiming to improve energy efficiency, ensure power supply stability, and achieve multi-energy collaborative operation. Among these, traditional wind-solar power-powered LED lighting energy efficiency distribution systems refer to systems that jointly supply power to renewable energy sources such as wind and solar to meet the energy needs of LED lighting loads. These systems mainly involve the conversion and regulation of wind, solar, and energy storage energy, the power access control of LED lighting equipment, and the formulation of power supply priority strategies. Traditional systems typically achieve power switching and distribution by setting static power supply priorities and fixed voltage-current matching methods. This process generally employs voltage comparison relay control circuits, current monitoring switching units, and fixed output conversion strategies to complete the basic allocation and management of electrical energy among wind, solar, and lighting loads.

[0003] Existing technologies distribute power through static priority strategies and fixed-value control methods, lacking means to identify disturbance frequencies and overlapping paths. In situations where power supply paths experience frequent disturbances or lighting behaviors overlap densely, it is difficult to effectively distinguish the primary and secondary paths, leading to chaotic load scheduling and unbalanced energy consumption distribution between paths. Furthermore, the fixed path connection method lacks a flexible adjustment mechanism, which can easily cause conflicts in power supply direction or delayed lighting response. During periods of frequent load switching, it is impossible to dynamically classify behavioral paths, and the control strategy cannot respond in layers according to energy consumption fluctuations, affecting the power supply system's adaptability to different lighting conditions and reducing the overall energy efficiency level. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of existing technologies and propose a wind and solar power-powered LED lighting energy efficiency distribution system.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: A wind-solar powered LED lighting energy efficiency distribution system includes:

[0006] The power supply start-up identification module organizes the timing of the wind and photovoltaic switching phases, identifies the order of power supply and its time relationship with lighting start-up, groups the phases according to the power supply phases and voltage change trends, filters the paths that disturb the lighting, establishes an interference ranking map based on the frequency of path overlap, and generates a list of power supply paths that interfere with lighting.

[0007] The load allocation and sorting module analyzes the load adjustment range based on the disturbance frequency in the list of lighting interference power supply paths, compares it with the stable section, extracts and sorts the fluctuating paths, organizes the load attribution structure diagram, and generates a reorganized lighting path sorting table.

[0008] The power supply channel allocation module constructs a path connection relationship network based on the reorganized lighting path sorting table, identifies the switching and intersecting situation of the main path connection area, adjusts the path boundary, reconstructs the connection method according to direction, classifies the wind and solar path intersecting boundary, and generates a wind and solar intersecting power supply structure diagram.

[0009] The lighting behavior recognition module analyzes the lighting path behavior in conjunction with the wind-solar power supply structure diagram, identifies continuously conducting and changing paths, focuses on the start-up and shutdown response density, locks overlapping behavior paths, classifies and archives them, and generates a list of high-frequency lighting energy consumption paths.

[0010] As a further embodiment of the present invention, the lighting interference power supply path list includes the disturbance path number, the frequency of overlapping segments, voltage fluctuation characteristics, and the power supply stage to which it belongs; the reorganized lighting path sorting table includes path priority labels, primary and secondary path allocation relationships, lighting load attribution identifiers, and path structure block divisions; the wind-solar interleaved power supply structure diagram includes the main path connection topology, interleaved path boundary divisions, power supply direction guidance, and overall power supply structure outline; and the high-frequency lighting energy consumption path list includes path behavior classification labels, response density distribution intervals, repeated conduction characteristics, and unit energy consumption statistics.

[0011] As a further aspect of the present invention, the power supply start-up identification module includes:

[0012] The power supply timing extraction submodule acquires wind and photovoltaic switching data, identifies the energy power supply start point, compares the difference with the lighting start time, segments according to time sequence and energy conversion trend, and generates power supply stage sequence identification data.

[0013] The voltage disturbance path identification submodule extracts the path voltage change sequence based on the power supply stage sequence identification data, calculates the voltage deviation rate and change rate, judges the jump trend, filters the fluctuating path, and obtains a set of disturbed lighting paths.

[0014] The interference sorting and mapping submodule calls the set of disturbed lighting paths, compares the overlap of path segments and the frequency of occurrence, and combines the stage disturbance intensity and overlap length to establish a list of lighting interference power supply paths.

[0015] As a further aspect of the present invention, the load allocation and sorting module includes:

[0016] The path fluctuation screening stator module extracts the path disturbance frequency and stable section duration based on the path number in the lighting interference power supply path list, analyzes the difference distribution, filters paths with frequencies higher than the benchmark value and disturbances, and generates a set of high-disturbance lighting path numbers.

[0017] The lighting path priority submodule calls the set of high-disturbance lighting path numbers to obtain the current fluctuation range, average power disturbance value, load type and number of nodes, analyzes the path allocation capability, calculates the load allocation sensitivity value of each path, sorts the path numbers according to the magnitude, and obtains the priority allocation path sorting table.

[0018] The load attribution reorganization submodule adjusts the primary and secondary load access relationships of high-priority paths according to the priority allocation path sorting table, calls the original configuration table, replaces path attribution, rearranges the node and path corresponding structure, and generates a reorganized lighting path sorting table.

[0019] As a further aspect of the present invention, the power supply channel distribution module includes:

[0020] The path network construction submodule extracts the connecting nodes and intersection segments of the paths based on the path numbering order in the recombined lighting path sorting table, constructs the path docking arrangement and combination, and generates a path connection structure matrix.

[0021] The intersecting path identification submodule calls the path connection structure matrix to determine whether there is a switching or crossing phenomenon between paths, identifies the intersecting connection segments, adjusts the boundary positions and marks the conflict status, and obtains the intersecting path boundary partition value.

[0022] The structure classification and mapping submodule organizes the path directionality and intersection type according to the boundary partition values ​​of the intersecting paths, classifies them into a path set, and maps it to the overall docking network structure to establish a wind and solar intersecting power supply structure diagram.

[0023] As a further aspect of the present invention, the lighting behavior recognition module includes:

[0024] The lighting path monitoring submodule collects the lighting conduction status, current amplitude and rate of change of the path during different time periods based on the path number in the wind-solar power supply structure diagram, determines whether the path is in a continuous conduction and switching state, and identifies the lighting path set.

[0025] The response trend analysis submodule extracts the lighting start-up and turn-off time series from the lighting path set, calculates the lighting response density of the path within a set time period, identifies the overlapping intervals of the response density of multiple paths in time, and generates a set of behaviorally overlapping paths.

[0026] The energy consumption path archiving submodule performs statistical analysis on the number of times each path is turned on and the cumulative power-on time in the set of overlapping behavior paths, classifies and marks the paths according to the set threshold, establishes a path classification index table, and outputs a list of high-frequency lighting energy consumption paths.

[0027] As a further aspect of the present invention, the system further includes:

[0028] The output current control module evaluates the deviation between the power output and the set control range for the paths in the high-frequency lighting energy consumption path list, classifies the processing level according to the degree of deviation, sets the path behavior adjustment priority, unifies the adjustment strategy, and generates LED lighting energy efficiency allocation results.

[0029] The LED lighting energy efficiency allocation results include power output deviation level, path control priority order, control rule segmentation parameters, and unified adjustment instruction set.

[0030] As a further aspect of the present invention, the output current control module includes:

[0031] The power deviation analysis submodule extracts the current output power value based on the path number in the high-frequency lighting energy consumption path list, compares it with the power control threshold set for the corresponding path, calculates the path power deviation value, classifies the levels according to the deviation magnitude, and outputs a path power deviation level table.

[0032] The priority ranking submodule classifies the path according to the deviation magnitude in the path power deviation level table, and sorts the priority of path control behaviors in combination with the preset path control level strategy to generate a priority list of path control behaviors.

[0033] The control strategy execution submodule extracts the current control parameters of the path based on the path control behavior priority list, classifies and merges the path sets with the same control objectives, sets the control logic and adjustment strategy in a unified manner, outputs a path number and control command correspondence table, and generates LED lighting energy efficiency allocation results.

[0034] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0035] In this invention, by classifying and sorting disturbance paths during the power supply phase, and constructing interference intensity criteria based on the frequency of overlapping segments, the priority and primary / secondary path configuration of lighting paths are reorganized, the load attribution relationship is clarified, a path connection network is constructed and the boundaries of intersecting areas are delineated, high-frequency lighting behavior paths are identified and archived, and control levels and adjustment sequences are set according to the degree of power output deviation. This enables dynamic identification of lighting paths, optimization of load allocation structure, clear power supply channel logic, and hierarchical energy efficiency control strategies, effectively enhancing the coordination and execution efficiency of multi-source power supply systems in lighting response management. Attached Figure Description

[0036] Figure 1 This is a system flowchart of the present invention;

[0037] Figure 2 This is a flowchart of the power supply start-up identification module of the present invention;

[0038] Figure 3 This is a flowchart of the load allocation and sorting module of the present invention;

[0039] Figure 4 This is a flowchart of the power supply channel distribution module of the present invention;

[0040] Figure 5 This is a flowchart of the lighting behavior recognition module of the present invention;

[0041] Figure 6 This is a flowchart of the output current control module of the present invention. Detailed Implementation

[0042] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0043] In the description of this invention, it should be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships, are based on the orientation or positional relationships shown in the accompanying drawings and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, in the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0044] Please see Figure 1 The wind-solar powered LED lighting energy efficiency distribution system includes:

[0045] The power supply start-up identification module organizes the timing of the power supply switching phase between wind power and photovoltaic power, identifies the time correlation between the power supply sequence and the lighting start-up, performs phased grouping operations based on the power supply phase and voltage change trend, screens out the lighting path set with disturbance performance, establishes an interference impact ranking map based on the frequency of overlapping segments in the path group, and generates a list of lighting interference power supply paths.

[0046] The load allocation and sorting module analyzes the adjustable distribution range of the load status based on the disturbance frequency of the paths in the list of lighting interference power supply paths and the stable performance section, judges the relationship between the disturbance differences between paths, extracts the lighting paths with prominent fluctuations and arranges their priority order, adjusts the configuration correspondence between the main path and the secondary path, organizes the structure diagram to distinguish the lighting load affiliation, and generates a reorganized lighting path sorting table.

[0047] The power supply channel allocation module constructs a path connection network according to the order listed in the reorganized lighting path sorting table, determines whether there are overlapping switching actions in the connection sections between the main paths, adjusts the boundaries of frequently switching paths, reorganizes the path connection methods according to the directional principle, sets the boundaries of overlapping paths in the power supply structure and classifies and organizes the overall outline, and generates a wind and solar power supply structure diagram.

[0048] The lighting behavior recognition module combines the lighting activity performance of the path in the wind and solar power supply structure diagram to identify the path sequence with conduction and frequently changing behavior. It focuses on the response density change trend during the lighting start-up and shutdown phases, locks the path set with overlapping response intervals and repeated behavior, archives the lighting paths, performs classification and labeling, and generates a list of high-frequency lighting energy consumption paths.

[0049] The output current control module identifies the paths in the high-frequency lighting energy consumption path list, determines the degree of deviation between the current power output state and the original control range, divides the processing requirements into segments based on the degree of difference in deviation, sets the priority order of path behavior adjustment under the control rules, and unifies the adjustment methods to form an overall control operation diagram oriented towards the execution action, and generates LED lighting energy efficiency allocation results.

[0050] The list of lighting interference power supply paths includes the disturbance path number, the statistical frequency of overlapping sections, voltage fluctuation characteristics, and the power supply stage to which it belongs. The reorganized lighting path sorting table includes path priority labels, primary and secondary path allocation relationships, lighting load attribution identifiers, and path structure block divisions. The wind-solar interleaved power supply structure diagram includes the main path connection topology, interleaved path boundary divisions, power supply direction guidance, and overall power supply structure outline. The high-frequency lighting energy consumption path list includes path behavior classification labels, response density distribution ranges, repeated conduction characteristics, and unit energy consumption statistics. The LED lighting energy efficiency allocation results include power output deviation levels, path control priority order, control rule segmentation parameters, and unified adjustment instruction set.

[0051] Please see Figure 2 The power-on start-up identification module includes:

[0052] The power supply timing extraction submodule acquires wind and photovoltaic switching data, identifies the energy power supply start point, compares the difference with the lighting start time, segments according to time sequence and energy conversion trend, and generates power supply stage sequence identification data.

[0053] In acquiring data for the switchover between wind and solar power, it is necessary to retrieve real-time output power monitoring records from the new energy power supply system. These records are typically provided by the power recording modules in the wind turbines and solar inverters. Each record is taken in minutes, continuously capturing the power curve. For the wind power system, the initial recorded data are 23.5kW, 24.8kW, 22.1kW, 19.4kW, 15.0kW, and 8.7kW, eventually reaching 0kW, indicating a gradual decrease in power to a state of power interruption. Meanwhile, the solar power system gradually enters a power supply state as wind power decreases, with recorded power levels of 0kW, 1.5kW, 3.4kW, 5.1kW, 6.3kW, and 6.2kW, gradually increasing. By analyzing the above time series, the nodes where wind power changes from non-zero to zero and the nodes where solar power changes from zero to non-zero are extracted. These two nodes represent the start and end points of the wind-solar conversion. The lighting activation time is determined by the sudden change in lighting circuit current in the building's power monitoring system. A sudden increase from 0.1A to 1.6A, followed by a stabilization above 1.5A within 5 seconds, indicates the lighting circuit has started operating. The time difference between the power supply switching point and the lighting activation point is defined as the stage response difference. If this difference is less than 60 seconds, a synchronization characteristic between the power supply switching and lighting response is considered. This threshold is based on monitoring rules in the field of building electrical dispatching. Multiple actual engineering monitoring projects show that a response within 60 seconds is generally considered within the allowable synchronization range; exceeding this is considered non-responsive behavior. Therefore, the stage response threshold is set at 60 seconds. In the actual data, wind power supply terminates at 10:04, photovoltaic power supply starts at 10:04:30, and lighting activation occurs at 10:05:10. The difference between the wind / solar switching and lighting response is 40 seconds, meeting the judgment condition. Based on this result, this stage is marked as the "Wind / Solar Power Supply Switching Stage" and the "Lighting Linkage Stage," and power supply stage sequence identification data is established.

[0054] The voltage disturbance path identification submodule extracts the path voltage change sequence based on the power supply stage sequence identifier data, calculates the voltage deviation rate and change rate, judges the jump trend, filters the fluctuating path, and obtains the set of disturbed lighting paths.

[0055] After obtaining the power supply stage identification data, voltage data needs to be extracted from the corresponding lighting circuits within each power supply stage. The extracted data comes from the recorded values ​​of the lighting branch voltage monitoring points. Each monitoring point records the single-phase voltage change at a frequency of seconds. For example, if a monitoring point records voltage values ​​of 221.0V, 220.6V, 219.3V, 216.8V, 214.5V, and 213.1V in a certain stage, it can be seen that there is a significant downward trend in this segment. To further identify the disturbance path, it is necessary to calculate the voltage deviation amplitude and instantaneous rate of change. The voltage deviation amplitude is the ratio of the difference between the initial value and the current value of the stage. For example, if the initial value is 221.0V and the final value is 213.1V, the deviation amplitude is 7.9V, and the deviation rate is 3.58%. At the same time, the voltage difference between any two consecutive time points is analyzed, and the rate of change is found to be -0.4V / s, -1.3V / s, -2.5V / s, -2.3V / s, and -1.4V / s, respectively. To determine whether a path constitutes a disturbance, two threshold conditions need to be compared: first, a deviation rate greater than 3.0%; and second, any instantaneous rate of change greater than 2.0V / s. These two thresholds are set based on the following: the deviation rate threshold of 3.0% is the upper limit of the industry standard for lighting power supply voltage tolerance, combined with the sensitivity assessment of power supply voltage fluctuations in the IEC61000 series standard; the rate of change threshold of 2.0V / s is derived from the statistical critical point for visible flicker in typical lighting circuits. In scenarios where the voltage change rate exceeds 2.0V / s, more than 95% of lighting equipment exhibits instantaneous brightness fluctuations, therefore this value is used as the dividing point. At this monitoring point, both conditions are met, and the path is identified as a disturbance. Similar processing is performed on all 12 paths across the entire floor, ultimately extracting a set of 4 disturbance lighting paths that meet the conditions.

[0056] The interference sorting and mapping submodule calls the set of disturbed lighting paths, compares the overlap of path segments and the frequency of occurrence, and combines the stage disturbance intensity and overlap length to establish a list of lighting interference power supply paths.

[0057] After identifying the disturbance lighting paths, it is necessary to statistically analyze the overlap of multiple disturbance paths in terms of time period and physical path space. First, the start and end times of all disturbance segments are numbered and archived. For example, path X runs from 10:05:03 to 10:05:11, and path Y runs from 10:05:06 to 10:05:12. Overlapping intervals are identified for these two time periods, revealing a common interval of 10:05:06 to 10:05:11, lasting 5 seconds, i.e., an overlap length of 5 seconds. This operation is repeated, performing intersection operations on all path pairs to obtain the overlap length between all path pairs. Next, the frequency of these path segments throughout the entire monitoring period is calculated. For example, if path X and path Y have 3 overlapping disturbance segments within 10 minutes, their frequency is 3. Additionally, the average voltage rate within each path disturbance segment needs to be calculated; for example, the average rate of change for path X is 2.5V / s, and for path Y it is 2.9V / s. These three parameters are used together as an indicator of interference intensity, and are comprehensively ranked by setting weights. The weighting rules are as follows: overlap length is weighted at 0.5, as it represents the duration of interference; frequency of occurrence is weighted at 2.0, emphasizing the impact of repetitive disturbance behavior; and average rate is weighted at 1.0, reflecting the immediacy of the disturbance severity. This set of weights was obtained by fitting lighting interference data from eight office buildings, and it performed best in balancing error control and discrimination. Finally, the weighted total scores of each path pair are ranked, and the top N path pairs are selected to form a list of lighting interference power supply paths.

[0058] Please see Figure 3 The load allocation and sorting module includes:

[0059] The path fluctuation screening stator module extracts the path disturbance frequency and stable section duration based on the path number in the lighting interference power supply path list, analyzes the difference distribution, filters paths with frequencies higher than the benchmark value and disturbances, and generates a set of high-disturbance lighting path numbers.

[0060] First, the disturbance frequency of each path within the monitoring period is extracted. This frequency is obtained by counting the number of disturbance events in the path. For example, path 1 records a voltage offset exceeding 3% or a current change of 5 times within 10 minutes, path 2 records 8 times, and path 3 records 3 times, forming a path disturbance frequency array [5, 8, 3]. Next, the duration of the relatively stable segment in each path is extracted. This time period is defined as the continuous duration of voltage fluctuation rate less than 1% and current change less than 0.2A. For example, path 1 has a cumulative duration of 6 minutes that meets this condition during monitoring, path 2 has 4 minutes, and path 3 has 7 minutes, forming a stable time array [6, 4, 7]. Subsequently, the difference between the disturbance frequency and the duration of the stable segment for each path is calculated. Specifically, the disturbance frequency is subtracted from the proportion of the stable time within the sampling period, and then compared. For example, in a total period of 10 minutes, the difference for path 1 is 5 - (6 / 10 × 10) = -1, for path 2 it is 8 - (4 / 10 × 10) = 4, and for path 3 it is 3 - (7 / 10 × 10) = -4. Analyzing the distribution of these differences allows us to identify paths with relatively dense disturbances. The screening criteria are a disturbance frequency higher than a benchmark value and a positive difference. The benchmark value is set at 6 times, derived from the statistical average of 12 path samples, combined with the system stability requirements in actual building lighting applications. In the statistics, a disturbance frequency of 6 times or more is considered to interfere with lighting use. In the above example, only path 2 has a disturbance frequency of 8 times and a difference of 4, meeting the screening criteria. Therefore, path 2 is selected as a high-disturbance lighting path.

[0061] The lighting path priority submodule calls the high-disturbance lighting path number set to obtain the current fluctuation range, average power disturbance value, load type, and number of nodes, and analyzes the path allocation capability using the following formula:

[0062] ;

[0063] The load allocation sensitivity value of each path is calculated, and the paths are sorted according to their values ​​to obtain a priority allocation path sorting table.

[0064] in, This represents the load balancing sensitivity value for path i. This represents the current fluctuation range of path i. This represents the average value of the current fluctuation range across all paths. This represents the average power disturbance value of path i. This represents the number of lighting nodes in region j for path i. This indicates the number of load types for path i within region j. Indicates the total number of regions;

[0065] Parameter acquisition method and numerical assignment instructions

[0066] Each parameter was obtained from actual system measurements, with a sampling period of 10 minutes, as shown in the example below:

[0067] Current fluctuation range : This is the difference between the maximum and minimum current of the path during the sampling period;

[0068] Average voltage Take the average measurement value of the nodes along this path within the period;

[0069] Equivalent power disturbance value :Depend on It can be concluded that;

[0070] Average power disturbance value Collect power sequences and calculate the average of the absolute values ​​of the rate of change at consecutive time points;

[0071] Number of lighting nodes Number of load types : Data obtained from on-site statistics, with types mapped to orders of magnitude, such as LEDs, fluorescent lamps, and sensor lamps being considered as one category each;

[0072] Number of regions , which represents the number of physical regions defined in the current system.

[0073] Table 1. Parameters for Calculating Path Allocation Sensitivity

[0074]

[0075] As shown in Table 1, all parameters are taken from on-site sampling and structural configuration information. Taking path 2 as an example, its calculation process is as follows:

[0076] Equivalent disturbance power: ;

[0077] Mean of equivalent perturbation for all paths:

[0078] ;

[0079] Numerator:

[0080] ;

[0081] Denominator term:

[0082] ;

[0083] Calculation results:

[0084] ;

[0085] Comparison of results and explanation of derivation:

[0086] The calculation results are as follows:

[0087] ;

[0088] The results show that path 2 has the highest sensitivity value, indicating that its disturbance deviates most drastically from the average value and its structure is relatively simple. Therefore, it should be the first choice for load matching. Path 3 has the lowest sensitivity value, indicating that its structure is complex and its disturbance is small, so its adaptation priority is low.

[0089] Explanation of the formula's innovations:

[0090] The advantage of the formula lies in the introduction of the equivalent power disturbance value after voltage correction. Combined with the average disturbance value With network structure items The normalization process constructs a measurable and sortable dimensionless sensitivity index, which improves the accuracy of path scheduling evaluation and enables the priority allocation of paths based on this value in actual deployment, thereby improving the scientific nature and efficiency of lighting system allocation response.

[0091] The load assignment reorganization submodule adjusts the primary and secondary load access relationships of high-priority paths according to the priority allocation path sorting table, calls the original configuration table, replaces path assignment, rearranges the node and path corresponding structure, and generates a reorganized lighting path sorting table.

[0092] The path structure configuration table is called sequentially according to the lighting path priority ranking table. Paths ranked high in the priority table undergo structural reorganization. The reorganization process first reads the binding relationship between lighting nodes and load types in the original path. This relationship is usually recorded in the distribution cabinet configuration document or the intelligent lighting system control terminal. For example, path 2 originally contained 2 LED-A type lights and 1 sensor light, with node numbers N21, N22, and N23. During the reorganization phase, the primary nodes in high-sensitivity paths are retained according to the path priority order. These are nodes with high usage frequency, high power values, or high light importance levels. For example, N22 has the highest power and is located in the main channel, so it is determined to be the primary node and retained. Other nodes, such as N21 and N23, can be considered secondary nodes. Secondary nodes are reassigned to other low-priority paths, such as path 3, and connected if the structure allows. Node access must consider the current load capacity of the current path. The decision is made based on the remaining power capacity of the path and the total power of the new node. For example, if the current power of path 3 is 160W and the power of the accessed node is 40W, the total power is 200W. If this does not exceed the rated value, the access is valid. After the node assignment reordering is completed, the path configuration table is updated to record the new path-node correspondence, generating a reorganized lighting path sorting table. This sorting table consists of path number, node list, load type, and access order, ultimately forming a reorganized lighting path sorting table that replaces the old table in the lighting system control logic. The reorganization process strictly follows the path priority table sequence number to ensure that, under resource-limited conditions, priority is given to ensuring the power supply integrity and structural clarity of highly sensitive paths.

[0093] Please see Figure 4 The power supply channel distribution module includes:

[0094] The path network construction submodule extracts the path connection nodes and intersection segments based on the path numbering order in the reorganized lighting path sorting table, constructs the path docking arrangement and combination, and generates a path connection structure matrix.

[0095] Using a reorganized lighting path sorting table as the data source, each path is processed sequentially according to its path number. First, the connection node information for each path is extracted. This information is identified by node identifiers deployed in the lighting system. For example, the path number P1 has the node sequence N001→N002→N003, the path number P2 has N002→N004→N006, and the path number P3 has N001→N005→N007. After extracting the connection nodes, the system analyzes whether there are physical intersections between the paths, i.e., whether two paths share one or more identical nodes. If identical nodes are found, an intersection is considered to exist. Taking paths P1 and P2 as an example, both contain node N002, therefore, an intersection is determined. Then, all paths are paired to construct path connection permutations. For example, with three paths, the permutation results are (P1, P2), (P1, P3), and (P2, P3). Each combination undergoes node intersection checks. Finally, the judgment results are summarized to form a path connection structure matrix. This matrix uses the path number as the row and column coordinate axes. In the matrix, a value of "1" indicates that there are nodes intersecting between paths, and a value of "0" indicates that there is no intersection. For example, if paths P1 and P2 intersect, P1 and P3 intersect, and P2 and P3 do not intersect, then the matrix content is as follows: P1-P2 is 1, P1-P3 is 1, and P2-P3 is 0.

[0096] The intersecting path identification submodule calls the path connection structure matrix to determine whether there is a switching or crossing phenomenon between paths, identifies the intersecting connection segments, adjusts the boundary positions and marks the conflict status, and obtains the intersecting path boundary partition values.

[0097] After obtaining the path connection structure matrix, the intersection relationship is identified for each path pair marked "1" in the matrix. The determination of the intersection method requires consideration of the spatial coordinates of the nodes and the path direction. First, the path segments formed by the two nodes before and after the intersection node in each path are extracted, and the coordinate information of the nodes in the actual building plan is obtained. For example, the path segment N001→N002→N003 in path P1 corresponds to (0,0)→(1,0)→(2,0) in coordinates, and the path segment N002→N004→N006 in path P2 is (1,0)→(1,1)→(1,2). Analyzing the connection direction of the two paths at the intersection node N002, path P1 extends horizontally to the right, and path P2 extends vertically upwards, forming a 90-degree intersection, which is a significant intersection structure. The identification threshold is set to an angle of not less than 45 degrees, which is considered an intersection relationship. This threshold refers to the minimum angle requirement for cable path crossings in national electrical standards to ensure the engineering adaptability of the identification results. When the angle between the path directions reaches 90 degrees, the segment is marked as an interleaved connection segment, and the intersection node number and the path number are recorded. To avoid duplicate counting, the left and right boundaries of the interleaved segment are defined. The boundary is defined as the node before and after the intersection node, and the resulting path segment is the boundary segment. It is recorded as a combination of path number, segment index, and node number. For example, the boundary segment of P1 at the intersection point is N001→N002, and that of P2 is N002→N004, recorded as [P1, 1, N001-N002] and [P2, 1, N002-N004]. All interleaved boundary segments are assigned a conflict status flag, and the interleaved path boundary partition value is output.

[0098] The structure classification and mapping submodule organizes the path directionality and intersection type according to the boundary partition values ​​of the intersecting paths, classifies them into a path set, and maps it to the overall docking network structure to establish a wind and solar intersecting power supply structure diagram.

[0099] Based on the path and node relationships provided by the boundary partition values ​​of the intersecting paths, a classification operation is performed on the path direction and intersecting type. First, the directionality of each path needs to be determined. This directionality is obtained by performing a difference operation on the coordinates of each node in the path's connecting node sequence. For example, if path P1 connects nodes N001 (0,0), N002 (1,0), and N003 (2,0), the difference is a positive change in the X-axis, so its direction is determined to be "east". If another path P4 has nodes in the order N010 (2,2), N011 (1,2), and N012 (0,2), then it is a negative change in the X-axis, so it is determined to be "west". When the path direction is opposite to the direction of its intersecting object, it is classified as "reverse intersecting". If the directions are different but not completely opposite, such as east and north, it is classified as "orthogonal intersecting". If the directions are the same or the angle is less than 45 degrees, it is classified as "parallel or non-intersecting". Based on the above classification, all paths will be divided into three sets: "orthogonal interleaved group," "reverse interleaved group," and "non-interleaved group." The classification results are mapped onto the overall power supply network, and a network diagram is constructed according to the path number and its region. Nodes in the diagram are represented by circles, path segments are connected by line segments, and interleaved connections are represented by thick lines. If the path originates from wind power, a blue frame is marked on the line segment; if it is a photovoltaic path, a green frame is marked. Interleaved sections are highlighted with red borders, forming a wind-solar interleaved power supply structure diagram. The information in the diagram provides a visual representation of the building's power supply path structure, clearly marking the interleaving and connection relationships between paths. The final diagram is exported as an engineering drawing format such as CAD or SVG for electrical configuration review.

[0100] Please see Figure 5 The lighting behavior recognition module includes:

[0101] The lighting path monitoring submodule collects the lighting conduction status, current amplitude and rate of change of the path during different time periods based on the path number in the wind and solar power supply structure diagram, determines whether the path is in a continuous conduction or switching state, and identifies and forms a lighting path set.

[0102] Using the path numbers listed in the wind-solar power supply structure diagram as input, the lighting status of each path is dynamically collected at different times. Differentiated time periods are set as morning peak (07:00–09:00), midday break (12:00–14:00), and evening peak (18:00–21:00). The monitoring content for each path includes three data points: on / off status, current amplitude, and current change rate. On / off status is collected via a current detection module acquiring data points per second. If the current is greater than 0.1A for any consecutive 30 seconds, the path is considered to be in a continuous conducting state. If there are three consecutive instances where the current suddenly drops from greater than 0.1A to less than 0.05A with a time interval of less than 60 seconds, it is considered to be in a frequent switching state. This setting is based on statistical data of user lighting behavior characteristics. In actual measurements, the peak frequency of user lighting control is 2–3 times / minute; therefore, the frequent switching judgment standard is set as ≥3 jumps within one minute. The current amplitude is defined as the average of the difference between the maximum and minimum current per minute, used to assess power supply stability. For example, path A records a current sequence of 0.85A, 0.87A, 0.82A, 0.84A, and 0.86A during the time period 08:00–08:05, with a maximum amplitude of 0.05A, indicating a stable power supply state. Path B, on the other hand, records a current sequence of 0.30A, 0.95A, 0.20A, 0.97A, and 0.22A, with an amplitude reaching 0.75A, indicating fluctuating conduction. The current change rate is calculated by dividing the current difference between two adjacent samples by the sampling interval. At a 1-second sampling frequency, the range of values ​​is narrow; therefore, the fluctuation judgment standard is set as a rate change exceeding 0.3A / s as a drastic jump. Finally, the system labels the conduction status of each path in each time period according to the above standards, forming a complete path status label sequence, and clusters them by path number to form a lighting path set.

[0103] The response trend analysis submodule extracts the lighting start-up and turn-off time series from the lighting path set, calculates the lighting response density of the path within a set time period, identifies the overlapping intervals of the response density of multiple paths in time, and generates a set of behaviorally overlapping paths.

[0104] After acquiring the set of lighting paths, the timing of the activation events for each path is analyzed to extract the specific timestamps of each power-on start and end. The activation frequency per unit time is then calculated based on the entire day's time period, divided into hourly time slices. The number of activations in each time slice is counted, and the result is divided by 60 minutes to obtain the lighting response density for that hourly segment. For example, path C recorded 3 activation events between 08:00 and 09:00, with a response density of 3 / 60 = 0.05. Path D activated 2 times in the same time period, with a density of 0.033. After organizing the response density sequences of each path throughout the entire monitoring period, all path pairs are compared to determine if there are any instances where the density simultaneously exceeds a preset threshold within the same hourly segment. This threshold is set to 0.03, based on the response statistics of 200 historical data points across different time periods. The average response density is 0.022, and the standard deviation is 0.006. Therefore, the threshold is determined by adding one time the standard deviation to the average value, ensuring that the selected results are above the upper quartile range. If paths C and D both have a time response value greater than 0.03 during the 08:00–09:00 segment, it indicates that their time responses overlap, constituting a response density intersection. All path pairs that meet this condition are added to the set of overlapping paths, which records the path number, the intersection time segment, and the corresponding density value.

[0105] The energy consumption path archiving submodule performs statistical analysis on the number of times each path is turned on and the cumulative power-on time in the set of overlapping behavior paths, classifies and marks the paths according to the set threshold, establishes a path classification index table, and outputs a list of high-frequency lighting energy consumption paths.

[0106] Based on the path number in the set of overlapping behavioral paths, the number of times the path is activated and the cumulative power-on time are statistically analyzed within a set analysis period (e.g., 1 day or 1 week). The number of activations counts the number of state transitions from disconnection to activation, and the power-on time is the sum of all activation periods. For example, path E records 6 activation events in one day, with power-on times of 1.2, 0.9, 1.5, 1.0, 0.8, and 1.1 hours respectively, for a total power-on time of 6.5 hours; path F is activated 4 times, with a total power-on time of 3.8 hours. Paths with ≥5 activations and ≥6 hours of power-on time are classified as high-frequency energy-consuming paths. This classification references the working patterns of primary paths in building lighting systems. Statistical analysis of 100 commonly used paths revealed that over 75% of the main paths are used more than 5 times and have a total daily lighting time exceeding 6 hours. The statistical results are compiled into a path classification index table, which includes fields such as path number, number of times the circuit is turned on, power-on duration, whether the threshold is exceeded, and classification label. After comparison, all path numbers that meet both conditions are selected to form a list of high-frequency lighting energy consumption paths, which will serve as the key targets for energy-saving optimization and system transformation.

[0107] Please see Figure 6The output current control module includes:

[0108] The power deviation analysis submodule extracts the current output power value based on the path number in the high-frequency lighting energy consumption path list, compares it with the power control threshold set for the corresponding path, calculates the path power deviation value, classifies the levels according to the deviation magnitude, and outputs a path power deviation level table.

[0109] After obtaining the path numbers from the high-frequency lighting energy consumption path list, the current output power value of each path is extracted one by one. This power value is collected by the power metering device at the end of the lighting node at 5-second intervals. The average value of the power sequence over 60 consecutive seconds is taken as the current actual output power. For example, the sampled values ​​of path P201 in the current period are 117W, 119W, 120W, 121W, 118W, 120W, 119W, 118W, 117W, and 119W, and the calculated average value is 118.8W. Subsequently, the system calls the power control threshold setting value of path P201 in the configuration file. This value is set at 0.85 times the total rated power of the lighting fixtures during the initial system deployment phase, reflecting the theoretical operating target value of the load. For example, if the rated power of the lighting connected to P201 is 140W, then the threshold is 119W. Comparing the current power with the control threshold, the deviation value is calculated to be 118.8W - 119W = -0.2W, with a deviation range of -0.2 ÷ 119 ≈ -0.17%. To identify the degree of deviation impact, the system classifies the deviation range into three levels based on its absolute value: Level 1 deviation is defined as an absolute deviation of no more than 5%, Level 2 deviation is between 5% and 15%, and Level 3 deviation is exceeding 15%. This range is set based on actual project operating experience and industry control accuracy requirements, and is consistent with the LED driver dimming response margin. According to the above standards, path P201 is classified as Level 1 deviation. After applying similar operations to all paths in the list, the system outputs the current power, set threshold, deviation value, deviation percentage, and deviation level information for each path, forming a path power deviation level table.

[0110] The priority ranking submodule classifies the path according to the deviation magnitude in the path power deviation level table, and sorts the priority of path control behaviors in combination with the preset path control level strategy, generating a priority list of path control behaviors.

[0111] After obtaining the set of path power deviation levels, the deviation levels of the paths are initially classified, with a control priority of 1 for level 3 deviations, 2 for level 2 deviations, and 3 for level 1 deviations. Within paths of the same level, a secondary sorting is performed based on the absolute value of the deviation, with higher values ​​having higher priority. For example, if paths P202 and P203 are both level 2 deviations, but P202 has a deviation of +13.2W and P203 has a deviation of +7.4W, then P202 is ranked before P203. The sorting operation is performed in order of priority first, then value, forming a complete sorting list from priority 1 to priority N. The priority of the levels in the sorting criteria is set based on the degree of impact of the path on the system load stability. Higher deviation levels indicate a more severe deviation from the control target and greater sensitivity to grid disturbances, thus requiring priority response and adjustment. Path P204, being a level 3 deviation with a deviation of +28W, has a control priority of 1 and is ranked higher; path P205, being a level 1 deviation with a deviation of -2W, is ranked lower. Each path in the sorting list is marked with a path number, deviation level, deviation value, and sorting sequence number, forming a priority list for path control behaviors.

[0112] The control strategy execution submodule extracts the current control parameters of the path based on the path control behavior priority list, classifies and merges the path sets with the same control objectives, sets the control logic and adjustment strategy in a unified manner, outputs the path number and control command correspondence table, and generates the LED lighting energy efficiency allocation results.

[0113] Based on the ranking of the control behavior priority list, the current dimming capability, response mode, control interface protocol, and maximum adjustment range of each lighting path are extracted from the operating parameters of the lighting path. It is then determined whether a set of paths with consistent control objectives exists. For example, paths P301 and P302 are both LED lighting paths supporting 0–10V interfaces, with dimming rate response within 200ms, and maximum brightness output limited to 90%, thus they are grouped into the same control objective set. Adjustment logic is uniformly set for all paths in this set. For instance, a power reduction strategy is implemented for paths with a level three deviation, setting the target power to be 15% lower than the current value and simultaneously adjusting the dimming duty cycle. Taking path P301 as an example, its current output power is 140W, the system sets its target power to 119W, and simultaneously lowers its dimming control duty cycle to 75%. The control logic also sets an execution cycle, such as checking the actual power deviation and refreshing the adjustment value every 60 seconds. The control strategy automatically generates a mapping structure between paths and control commands based on the set classification. Path numbers, corresponding power targets, adjustment values, and control interface information are bound to the same command and pushed to the lighting control system host. The host issues control commands to the control nodes of each path according to this mapping command, triggering actual power adjustment actions and transmitting the adjustment status and execution results back, forming the LED lighting energy efficiency allocation result. Throughout the process, paths are processed sequentially according to priority, ensuring that the path most in need of adjustment receives a control response first, while paths with unified control targets are merged to improve control efficiency.

[0114] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any other way. Any person skilled in the art may make changes or modifications to the above-disclosed technical content to create equivalent embodiments that can be applied to other fields. However, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A wind-solar powered LED lighting energy efficiency distribution system, characterized in that, The system includes: The power supply start-up identification module organizes the timing of the wind and photovoltaic switching phases, identifies the order of power supply and its time relationship with lighting start-up, groups the phases according to the power supply phases and voltage change trends, filters the paths that disturb the lighting, establishes an interference ranking map based on the frequency of path overlap, and generates a list of power supply paths that interfere with lighting. The load allocation and sorting module analyzes the load adjustment range based on the disturbance frequency in the list of lighting interference power supply paths, compares it with the stable section, extracts and sorts the fluctuating paths, organizes the load attribution structure diagram, and generates a reorganized lighting path sorting table. The power supply channel allocation module constructs a path connection relationship network based on the reorganized lighting path sorting table, identifies the switching and intersecting situation of the main path connection area, adjusts the path boundary, reconstructs the connection method according to direction, classifies the wind and solar path intersecting boundary, and generates a wind and solar intersecting power supply structure diagram. The lighting behavior recognition module analyzes the lighting path behavior in conjunction with the wind and solar power supply structure diagram, identifies continuously conducting and changing paths, reads the start-up and shutdown response density, locks overlapping behavior paths, classifies and archives them, and generates a list of high-frequency lighting energy consumption paths. The output current control module evaluates the deviation between the power output and the set control range for the paths in the high-frequency lighting energy consumption path list, classifies the processing level according to the degree of deviation, sets the path behavior adjustment priority, unifies the adjustment strategy, and generates LED lighting energy efficiency allocation results. The LED lighting energy efficiency allocation results include power output deviation level, path control priority order, control rule segmentation parameters, and unified adjustment instruction set; The list of lighting interference power supply paths includes the disturbance path number, the frequency of overlapping segments, voltage fluctuation characteristics, and the power supply stage to which it belongs. The reorganized lighting path sorting table includes path priority labels, primary and secondary path allocation relationships, lighting load attribution identifiers, and path structure block divisions. The wind-solar interleaved power supply structure diagram includes the main path connection topology, interleaved path boundary divisions, power supply direction guidance, and overall power supply structure outline. The high-frequency lighting energy consumption path list includes path behavior classification labels, response density distribution ranges, repeated conduction characteristics, and unit energy consumption statistics.

2. The wind-solar power-powered LED lighting energy efficiency distribution system according to claim 1, characterized in that, The power supply start-up identification module includes: The power supply timing extraction submodule acquires wind and photovoltaic switching data, identifies the energy power supply start point, compares the difference with the lighting start time, segments according to time sequence and energy conversion trend, and generates power supply stage sequence identification data. The voltage disturbance path identification submodule extracts the path voltage change sequence based on the power supply stage sequence identification data, calculates the voltage deviation rate and change rate, judges the jump trend, filters the fluctuating path, and obtains a set of disturbed lighting paths. The interference sorting and mapping submodule calls the set of disturbed lighting paths, compares the overlap of path segments and the frequency of occurrence, and combines the stage disturbance intensity and overlap length to establish a list of lighting interference power supply paths.

3. The wind-solar powered LED lighting energy efficiency distribution system according to claim 1, characterized in that, The load allocation and sorting module includes: The path fluctuation screening stator module extracts the path disturbance frequency and stable section duration based on the path number in the lighting interference power supply path list, analyzes the difference distribution, filters paths with frequencies higher than the benchmark value and disturbances, and generates a set of high-disturbance lighting path numbers. The lighting path priority submodule calls the set of high-disturbance lighting path numbers to obtain the current fluctuation range, average power disturbance value, load type and number of nodes, analyzes the path allocation capability, calculates the load allocation sensitivity value of each path, sorts the path numbers according to the magnitude, and obtains the priority allocation path sorting table. The load attribution reorganization submodule adjusts the primary and secondary load access relationships of high-priority paths according to the priority allocation path sorting table, calls the original configuration table, replaces path attribution, rearranges the node and path corresponding structure, and generates a reorganized lighting path sorting table.

4. The wind-solar power-powered LED lighting energy efficiency distribution system according to claim 1, characterized in that, The power supply channel distribution module includes: The path network construction submodule extracts the connecting nodes and intersection segments of the paths based on the path numbering order in the recombined lighting path sorting table, constructs the path docking arrangement and combination, and generates a path connection structure matrix. The intersecting path identification submodule calls the path connection structure matrix to determine whether there is a switching or crossing phenomenon between paths, identifies the intersecting connection segments, adjusts the boundary positions and marks the conflict status, and obtains the intersecting path boundary partition value. The structure classification and mapping submodule organizes the path directionality and intersection type according to the boundary partition values ​​of the intersecting paths, classifies them into a path set, and maps it to the overall docking network structure to establish a wind and solar intersecting power supply structure diagram.

5. The wind-solar power-powered LED lighting energy efficiency distribution system according to claim 1, characterized in that, The lighting behavior recognition module includes: The lighting path monitoring submodule collects the lighting conduction status, current amplitude and rate of change of the path during different time periods based on the path number in the wind-solar power supply structure diagram, determines whether the path is in a continuous conduction and switching state, and identifies the lighting path set. The response trend analysis submodule extracts the lighting start-up and turn-off time series from the lighting path set, calculates the lighting response density of the path within a set time period, identifies the overlapping intervals of the response density of multiple paths in time, and generates a set of behaviorally overlapping paths. The energy consumption path archiving submodule performs statistical analysis on the number of times each path is turned on and the cumulative power-on time in the set of overlapping behavior paths, classifies and marks the paths according to the set threshold, establishes a path classification index table, and outputs a list of high-frequency lighting energy consumption paths.

6. The wind-solar power-powered LED lighting energy efficiency distribution system according to claim 1, characterized in that, The output current control module includes: The power deviation analysis submodule extracts the current output power value based on the path number in the high-frequency lighting energy consumption path list, compares it with the power control threshold set for the corresponding path, calculates the path power deviation value, classifies the levels according to the deviation magnitude, and outputs a path power deviation level table. The priority ranking submodule classifies the path according to the deviation magnitude in the path power deviation level table, and sorts the priority of path control behaviors in combination with the preset path control level strategy to generate a priority list of path control behaviors. The control strategy execution submodule extracts the current control parameters of the path based on the path control behavior priority list, classifies and merges the path sets with the same control objectives, sets the control logic and adjustment strategy in a unified manner, outputs a path number and control command correspondence table, and generates LED lighting energy efficiency allocation results.

Images