A hybrid distribution intelligent power-saving system based on electromagnetic balance

Through the intelligent power supply system with real-time monitoring and multi-power synergistic coordination, precise power supply and electromagnetic balance for the lighting area are achieved, solving the problems of power distribution mismatch and electromagnetic energy imbalance in the existing technology, and improving the energy efficiency and stability of the system.

CN120073748BActive Publication Date: 2025-08-01ANHUI ZHONGHU FENGGUANG NEW ENERGY TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202510550285.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-04-29
Publication Date
2025-08-01
Estimated Expiration
2045-04-29

AI Technical Summary

Technical Problem

In the case of multi-power synergistic power supply, the existing technology cannot accurately perceive the actual demand of the lighting area, resulting in low matching of power distribution with actual demand, poor system stability, and failure to make full use of renewable energy, and serious electromagnetic energy imbalance problem.

Method used

The dynamic monitoring module of the lighting area collects ambient light and flow data in real time to generate dynamic load power requirements, combines the multi-power collaborative access module to select the optimal power supply combination, uses the electromagnetic balance analysis module to evaluate the voltage, frequency and phase parameters, and dynamic compensation is performed through the inductor-capacitor resonance circuit to achieve accurate power supply and electromagnetic balance.

Benefits of technology

It improves the matching degree between power distribution and actual demand, reduces overall energy consumption and electricity costs, enhances the flexibility and stability of the system, and reduces electromagnetic imbalance.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention relates to the technical field of power distribution, and relates to a hybrid distribution intelligent power-saving system based on electromagnetic balance. The present invention generates dynamic load demands through the multi-source fusion of environmental light data and human flow distribution data to achieve precise power supply and distribution regulation of the lighting link; through the priority switching mechanism of the multi-power collaborative access module, it matches the power supply combinations of the mains power, renewable energy and energy storage devices in real time to construct a power adaptation network for hybrid distribution; through the real-time comparison of voltage, frequency, and phase parameters and the electromagnetic balance state scoring analysis, it determines the electromagnetic imbalance problem under the multi-power collaborative state; through the dynamic compensation of the harmonic frequency of the inductor-capacitor resonant circuit, it realizes the closed-loop regulation of electromagnetic balance and abnormal energy dissipation. This solution breaks through the technical bottlenecks in the dynamic switching of multiple power sources and electromagnetic interference suppression in traditional systems, and provides a systematic solution for the energy efficiency optimization and stable operation of distributed lighting scenarios.
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Description

Technical Field

[0001] The present invention relates to the technical field of power distribution, and relates to a hybrid distribution intelligent power-saving system based on electromagnetic balance. Background Art

[0002] With the intelligent development of urban infrastructure, the lighting hybrid distribution system faces the dual challenges of improving energy efficiency and stability. The traditional distribution system has problems such as large power consumption and lagging load response. Especially in the scenario of multi-source collaborative power supply, electromagnetic interference and power imbalance seriously affect the system stability. In recent years, the energy-saving technology based on electromagnetic balance has gradually become a research direction to solve such problems.

[0003] In the prior art, such as a hybrid power and lighting distribution intelligent power-saving system based on electromagnetic balance with the Chinese patent publication number CN113690886A, its core solution is: at the power supply input end, the power load and the lighting load are separately connected and supplied with power; an adjustable output voltage is set in the lighting load system, and through an electromagnetic balance intelligent power-saving device, the output voltage of the lighting load is dynamically adjusted according to the output current of the power load, that is, when the power load current is small, the lighting voltage is lowered to achieve energy saving. This solution reduces the energy consumption of the lighting system to a certain extent through the linkage adjustment of the power load and the lighting load, and provides a new idea for hybrid distribution energy saving.

[0004] However, the prior art has the following problems: 1. The existing solution only relies on the power load current as the adjustment basis, and does not integrate real-time data such as ambient light and pedestrian flow distribution, and cannot accurately perceive the actual needs of the lighting area, resulting in a low matching degree between power distribution and actual needs, making it difficult to achieve power supply on demand, and limiting the energy-saving effect.

[0005] 2. The prior art only adjusts the voltage for a single mains power supply, and does not involve the collaborative access and intelligent distribution of multiple types of power sources such as solar energy, wind energy, and storage batteries. It cannot give priority to using renewable energy, and voltage fluctuations and frequency out-of-step are likely to occur during power source switching, resulting in poor system stability and failing to fully exploit the energy-saving potential of hybrid distribution.

[0006] 3. The existing solution only achieves energy saving by adjusting the lighting voltage, and does not comprehensively balance the frequency and phase parameters during multi-source hybrid power distribution. When there are harmonic interferences or phase mismatches in the power source, it is easy to cause an increase in reactive power and an aggravation of equipment losses, and cannot fundamentally solve the problem of electromagnetic energy imbalance. Summary of the Invention

[0007] The present invention aims to solve the above problems in the prior art, and proposes a hybrid distribution intelligent power-saving system based on electromagnetic balance, which realizes the efficient utilization of electric energy and the improvement of system stability through dynamic monitoring, intelligent analysis, and real-time compensation.

[0008] The technical solution adopted by the present invention to solve its technical problems is: a hybrid distribution intelligent power-saving system based on electromagnetic balance, including a lighting area dynamic monitoring module, a multi-power collaborative access module, an electromagnetic balance analysis module, an electromagnetic compensation adjustment module, and a lighting database.

[0009] The connection method between the modules is as follows: the lighting area dynamic monitoring module is connected to the multi-power collaborative access module, the multi-power collaborative access module is connected to the electromagnetic balance analysis module, the electromagnetic balance analysis module is connected to the electromagnetic compensation adjustment module, and the lighting database is connected to the lighting area dynamic monitoring module.

[0010] The lighting area dynamic monitoring module is used to divide the target lighting area into several independently controlled lighting links, and through Internet of Things sensors, it real-time collects the ambient light data and the pedestrian flow distribution data around each lighting link, and generates the dynamic load power demand of each lighting link.

[0011] The multi-power collaborative access module is used to select the power supply combination from the power supplies accessed by the lighting link according to the dynamic load power demand, and establish the power supply connection between the power supply combination and the corresponding lighting link.

[0012] The electromagnetic balance analysis module is used to real-time obtain the voltage, frequency, and phase parameters of each power supply in the power supply combination, and dynamically compare them with the preset reference threshold to judge the electromagnetic balance state of the power supply combination during hybrid power distribution.

[0013] The electromagnetic compensation adjustment module is used to adjust the resonance frequency of the inductor-capacitor resonance circuit according to the electromagnetic balance state, and dynamically compensate the electromagnetic field of the power supply combination.

[0014] The lighting database is used to store the set pedestrian flow and the set personnel density of each lighting link under the reference light intensity.

[0015] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention real-time collects the ambient light data and the pedestrian flow distribution data through the lighting area dynamic monitoring module, generates the dynamic load power demand, and dynamically adjusts the energy supply strategy according to the actual lighting demand, realizing the precise control of the lighting load, improving the matching degree of power distribution and the actual lighting demand, and improving the power utilization efficiency.

[0016] (2) The present invention, through the multi-power collaborative access module, selects the optimal power supply combination according to the dynamic load power demand, and adopts the means of multi-power priority matching and intelligent combination to achieve seamless switching and smooth energy supply, improving the flexibility and adaptability of the system, and reducing the overall energy consumption and electricity cost.

[0017] (3) Through the comprehensive evaluation of voltage deviation degree, frequency deviation degree, and phase unbalance degree, the present invention determines the electromagnetic balance state in combination with a weight scoring model, and adjusts the inductance-capacitance resonance frequency based on circuit theory to achieve synchronous compensation of voltage, frequency, and phase, solving the problem of poor electromagnetic stability in multi-power parallel connection, reducing the incidence of system electromagnetic imbalance, and improving the power transmission efficiency and system stability. Brief Description of the Drawings

[0018] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0019] Figure 1 It is a schematic diagram of the connection of system modules of the present invention.

[0020] Figure 2 It is a schematic diagram of the steps for generating the dynamic load power requirements of each lighting link in the present invention.

[0021] Figure 3 It is a schematic diagram of the steps for judging the selection of power supply combinations in the present invention. Detailed Embodiments

[0022] Now, various exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be noted that: Unless otherwise specifically stated, the relative arrangements, numerical expressions, and numerical values of the components and steps described in these embodiments do not limit the scope of the present invention. At the same time, it should be understood that for the sake of description, the dimensions of the various parts shown in the drawings are not drawn according to the actual proportional relationship.

[0023] The following description of at least one exemplary embodiment is actually only illustrative and in no way limits the present invention and its application or use. Technologies, methods, and devices known to those of ordinary skill in the relevant fields may not be discussed in detail, but where appropriate, the said technologies, methods, and devices should be regarded as part of the specification.

[0024] In all the examples shown and discussed here, any specific value should be interpreted as merely exemplary and not as a limitation. Therefore, other examples of the exemplary embodiments may have different values.

[0025] The present invention proposes a hybrid distribution intelligent power-saving system based on electromagnetic balance, which generates dynamic load demands through the multi-source fusion of ambient light data and pedestrian flow distribution data to achieve precise power supply and distribution regulation of the lighting link; through the priority switching mechanism of the multi-power collaborative access module, it matches the power supply combinations of the mains power, renewable energy, and energy storage devices in real time to construct a power adaptation network for hybrid distribution; through the real-time comparison of voltage, frequency, and phase parameters and the electromagnetic balance state scoring analysis, it determines the electromagnetic imbalance problem under the multi-power collaborative state; through the dynamic compensation of the harmonic frequency of the inductance-capacitance resonance circuit, it realizes the closed-loop regulation of electromagnetic balance and abnormal energy dissipation. This solution breaks through the technical bottlenecks of traditional systems in multi-power dynamic switching and electromagnetic interference suppression, and provides a systematic solution for the energy efficiency optimization and stable operation of distributed lighting scenarios.

[0026] Please refer to Figure 1 As shown, the present invention provides a hybrid distribution intelligent power-saving system based on electromagnetic balance, including a lighting area dynamic monitoring module, a multi-power collaborative access module, an electromagnetic balance analysis module, an electromagnetic compensation adjustment module, and a lighting database. The connection method between the modules is as follows: the lighting area dynamic monitoring module is connected to the multi-power collaborative access module, the multi-power collaborative access module is connected to the electromagnetic balance analysis module, the electromagnetic balance analysis module is connected to the electromagnetic compensation adjustment module, and the lighting database is connected to the lighting area dynamic monitoring module.

[0027] The lighting area dynamic monitoring module is used to divide the target lighting area into several independently controlled lighting links, and through Internet of Things sensors, it collects the ambient light data and pedestrian flow distribution data around each lighting link in real time to generate the dynamic load power demands of each lighting link.

[0028] Furthermore, according to the functional layout of the target lighting area, the area is divided into several functional areas, each functional area is configured with an independently controlled lighting link, and each lighting link includes a group of lighting fixtures and their related control devices. For example, for a park area, its functional layout includes an entrance square, a walking path, a leisure area, a children's play area, a lake scenic area, and a parking lot, etc. Through functional zoning and independent link control, the system realizes the leap from "extensive lighting" to "fine energy efficiency management", taking into account economy, reliability, and user experience.

[0029] As Figure 2As shown, the steps for generating the dynamic load power demand of each lighting link are as follows: S1. Extract the number of people and population density in the coverage area of each lighting lamp from the pedestrian flow distribution data around each lighting link, perform light compensation analysis on them, and obtain the pedestrian flow compensation coefficient. By analyzing the pedestrian flow compensation coefficient, the reference light intensity is corrected, enabling the lighting system to provide a matching light intensity according to the actual pedestrian flow situation, avoiding over-strong or over-weak lighting, reasonably allocating lighting resources, and making the utilization of lighting system resources more targeted.

[0030] Among them, for the number of people, devices such as infrared sensors and cameras installed around the lighting link are used to count the number of people entering the coverage area of each lighting lamp within a unit time, and thus obtain the number of people in this area. For example, under a certain lighting link in a park area, the number of customers passing by per hour is the value of the number of people in this area.

[0031] The population density estimates the area of the coverage area of each lighting lamp based on the image information collected by the camera or the sensor layout in the area, and combines the counted number of people to calculate the number of people per unit area, that is, the population density.

[0032] The method for obtaining the pedestrian flow compensation coefficient is as follows: Perform deviation ratio analysis on the number of people and population density in the coverage area of each lighting lamp and the set number of people and set population density of the corresponding lighting link in the lighting database under the reference light intensity, and calculate the average value of the deviation ratio analysis results to obtain the pedestrian flow compensation coefficient.

[0033] Furthermore, the deviation ratio of the number of people is expressed as the ratio of the number of people in the coverage area of each lighting lamp to the set number of people, and the deviation ratio of the population density is expressed as the ratio of the population density in the coverage area of each lighting lamp to the set population density.

[0034] S2. Extract the light intensity and light uniformity in the coverage area of each lighting lamp from the ambient light data around each lighting link, perform data fusion analysis on them and the pedestrian flow compensation coefficient, and generate an ambient light compensation coefficient. By analyzing the ambient light compensation coefficient, the actual ambient light conditions and the lighting requirements of the pedestrian flow can be comprehensively considered, realizing more accurate control of the lighting system.

[0035] Among them, the light intensity uses a light sensor to obtain the light intensity at different positions in the coverage area of each lighting lamp in real time, and takes its average value as the light intensity in the coverage area of each lighting lamp; the light uniformity is evaluated by calculating the difference degree of the light intensity at different positions in the coverage area of each lighting lamp. For example, statistical methods such as standard deviation are used, and the smaller the value, the better the light uniformity.

[0036] The method for analyzing the environmental supplementary lighting coefficient is as follows: The reference light intensity of the corresponding lighting link is corrected according to the pedestrian flow compensation coefficient, and the deviation degree between the corrected light intensity and the light intensity in the coverage area of each lighting lamp is analyzed to obtain the light intensity deviation degree in the coverage area of each lighting lamp. The corrected light intensity is the product of the pedestrian flow compensation coefficient and the reference light intensity of the corresponding lighting link.

[0037] The formula for analyzing the light intensity deviation degree is as follows: , where in the formula is the light intensity deviation degree, which is used to quantify the deviation degree between the actual light intensity in the coverage area of the lighting lamp and the corrected light intensity, is the corrected light intensity, is the light intensity in the coverage area of the lighting lamp.

[0038] The difference between the light uniformity in the coverage area of each lighting lamp and the set required light uniformity is calculated, and the normalized result of the difference is weighted and analyzed with the light intensity deviation degree to obtain the environmental supplementary lighting coefficient. The weight factor of the light uniformity difference reflects the importance of the deviation of the light uniformity from the set requirement, and the weight factor is the normalized light uniformity difference divided by the sum of the normalized light uniformity difference and the light intensity deviation degree; the weight factor of the light intensity deviation degree reflects the importance of the deviation of the light intensity from the corrected intensity, and the weight factor is the difference between 1 and the weight factor of the light uniformity difference.

[0039] The normalized light uniformity difference can be obtained by calculating through the Z-score normalization formula. The Z-score normalization formula is prior art and will not be elaborated here.

[0040] S3. Combining the initial power in the coverage area of the lighting lamp, the environmental supplementary lighting coefficient in the coverage area of each lighting lamp and the pedestrian flow compensation coefficient are coupled and analyzed to generate the dynamic load power demand of each lighting link.

[0041] The formula for the dynamic load power in the coverage area of each lighting lamp is , where in the formula is the dynamic load power demand, is the initial power in the coverage area of the lighting lamp, which is the power of the corresponding lighting link in the coverage area of the lighting lamp under the reference light intensity, is the environmental supplementary lighting coefficient, which reflects the adjustment degree of the environmental light deviation to the power, is the pedestrian flow compensation coefficient, which reflects the influence of the pedestrian flow data on the power. First, the initial power is adjusted through to reflect the primary correction of the environmental supplementary lighting to the dynamic load power; then, through , Perform secondary adjustment on the dynamically loaded power after the first correction, incorporate the crowd flow compensation factor, and finally obtain the dynamically loaded power demand. Sum up the dynamically loaded power of the areas covered by each lighting lamp in each lighting link to obtain the dynamically loaded power demand of each lighting link.

[0042] Through the dynamic monitoring module of the lighting area, the present invention collects environmental light data and crowd flow distribution data in real time, generates the dynamically loaded power demand, dynamically adjusts the energy supply strategy according to the actual lighting demand, realizes precise control of the lighting load, improves the matching degree between power distribution and actual lighting demand, and improves the power utilization efficiency.

[0043] The multi-power collaborative access module is used to select a power supply combination from the power supplies accessed by the lighting link according to the dynamically loaded power demand, and establish a power supply connection between the power supply combination and the corresponding lighting link.

[0044] The specific content of the multi-power collaborative access module is as follows: screen the load demand level according to the dynamically loaded power demand of each lighting link, screen the power supply group adapted to the load demand level from the power supplies accessed by each lighting link, and record it as the adapted power supply group. Match the priorities of all the power supplies in the adapted power supply group according to the power supply type priority setting rule, and select the power supply combination by combining the priority and the dynamically loaded power demand.

[0045] The load demand level screening method is to match the dynamically loaded power demand of each lighting link with the power range corresponding to each load demand level to obtain the load demand level of each lighting link. It can accurately match the power supply combination for the lighting links with different load demands, and avoid problems such as energy waste or insufficient power supply caused by the mismatch between the power supply and the load.

[0046] The power supply types include but are not limited to: energy storage power supply, renewable energy, and commercial power. The power supply type priority setting rule can be set as the energy storage power supply has the highest priority, the renewable energy has the second highest priority, and the commercial power has the lowest priority.

[0047] As Figure 3 shown, the selection of the power supply combination by combining the priority and the dynamically loaded power demand specifically includes: screening the highest priority power supply from the priorities of all the power supplies in the adapted power supply group, comparing its rated output power with the dynamically loaded power demand. If the output power of the highest priority power supply is greater than or equal to the dynamically loaded power demand, it indicates that the highest priority power supply meets the dynamically loaded power demand, and the highest priority power supply is used as the power supply combination. Otherwise, the power supplies are combined in turn according to the priority until the combined power supplies meet the dynamically loaded power demand, and the combined power supplies are used as the power supply combination.

[0048] Through the multi - power collaborative access module, the present invention selects the optimal power supply combination according to the dynamic load power demand, and adopts the means of multi - power priority matching and intelligent combination to achieve seamless switching and smooth energy supply, improve the flexibility and adaptability of the system, and reduce the overall energy consumption and electricity cost.

[0049] The electromagnetic balance analysis module is used to obtain the voltage, frequency and phase parameters of each power supply in the power supply combination in real time, and dynamically compare them with the preset reference threshold to judge the electromagnetic balance state of the power supply combination during hybrid power distribution.

[0050] The specific content of the electromagnetic balance analysis module is as follows: analyze the deviation degree between the voltage, frequency and phase parameters of each power supply in the power supply combination and the preset reference threshold to obtain the voltage deviation degree, frequency deviation degree and phase unbalance degree. Substitute the voltage deviation degree, frequency deviation degree and phase unbalance degree into the set weight scoring model to output the electromagnetic balance state score. Compare the electromagnetic balance state scores of each power supply in the power supply combination with the set balance state score threshold to obtain the electromagnetic balance state of each power supply, and judge the electromagnetic balance state of the power supply combination during hybrid power distribution according to the electromagnetic balance state of each power supply. The purpose is to timely detect possible abnormal power supply parameters during the power supply process, ensure the stable operation of the power supply combination during hybrid power distribution, and avoid affecting the normal operation of electrical equipment such as lighting systems due to excessive power supply parameter fluctuations.

[0051] The judgment method for the electromagnetic balance state of each power supply is as follows: if the electromagnetic balance state score of the power supply is greater than or equal to the set balance state score threshold, the electromagnetic balance state of the power supply is the balanced state; otherwise, the electromagnetic balance state of the power supply is the unbalanced state.

[0052] The analysis formula for the voltage deviation degree is , where is the voltage deviation degree, is the real - time voltage of the power supply, is the preset reference voltage threshold, which is used as a reference standard for measuring voltage deviation. For example, the common single - phase voltage is 220V. Among them, ensures that the deviation value is positive. The larger the deviation value, the greater the power supply deviation degree. Dividing by converts the deviation into a relative value, which is convenient for horizontal comparison between systems with different voltage levels.

[0053] The analysis formula for the frequency deviation degree is , where is the frequency deviation degree, is the real - time frequency of the power supply, is the preset reference frequency threshold, such as the grid standard frequency , is a preset allowable frequency deviation value, that is, the allowable frequency fluctuation range of the system, such as . Among them calculate the deviation amount exceeding the allowable range. If the actual deviation is within the allowable range, such as , then is negative or zero, indicating that no compensation is required; if it exceeds the allowable range, such as , then is positive, indicating that frequency compensation needs to be started, to avoid negative value interference in judgment.

[0054] The analysis formula for the phase unbalance degree is . In the formula is the phase unbalance degree, are the phase angles of the A, B, and C phases of the power supply respectively, is the preset reference phase threshold, usually set to . Among them, the phase difference between any two phases in the three-phase system should be close to 120°. The maximum value is taken to reflect the most serious imbalance situation. Through calculate the relative deviation and multiply by 100% to quantify the imbalance degree.

[0055] Set the weight scoring model as . In the formula is the electromagnetic balance state score, is the total score of the electromagnetic balance state, are the weights of the voltage deviation degree, frequency deviation degree, and phase unbalance degree respectively. The setting of the weights is obtained based on historical data analysis. The proportions of voltage, frequency, and phase imbalance in the system fault records of the statistical target lighting area are counted, and the initial weights are set according to the proportions.

[0056] It should be noted that the determination rule for the electromagnetic balance state of the power supply combination during hybrid power distribution is: if the electromagnetic balance states of all power supplies are in the balanced state, then the electromagnetic balance state of the power supply combination during hybrid power distribution is balanced; if the electromagnetic balance state of any power supply is in the unbalanced state, then the electromagnetic balance state of the power supply combination during hybrid power distribution is unbalanced.

[0057] The electromagnetic compensation adjustment module is used to adjust the resonance frequency of the inductor-capacitor resonance circuit according to the electromagnetic balance state and dynamically compensate the electromagnetic field of the power supply combination.

[0058] The specific content of the electromagnetic compensation adjustment module is as follows: when the electromagnetic balance state of the power supply combination during hybrid power distribution is unbalanced, determine the power supply that needs to be compensated in the power supply combination and its compensation parameters, such as one or more of voltage, frequency, or phase.

[0059] Further, the method for determining the compensation parameter is as follows: If the voltage deviation degree is greater than the set voltage deviation degree threshold, then the voltage is the compensation parameter.

[0060] If the frequency deviation degree is greater than the set frequency deviation degree threshold, then the frequency is the compensation parameter.

[0061] If the phase unbalance degree is greater than the set phase unbalance degree threshold, then the phase is the compensation parameter.

[0062] The setting methods for the voltage deviation degree threshold, the frequency deviation degree threshold, and the phase unbalance degree threshold are as follows: According to the power industry standards, such as the allowable deviation specifications for voltage and frequency and the electrical characteristics of lighting equipment, such as the rated voltage range, the frequency adaptation range, and the phase balance requirements, etc., the maximum allowable deviation of each parameter during the normal operation of the equipment is determined through experimental tests. For example, the voltage deviation degree threshold is set by referring to the allowable deviation of the grid voltage of ±5%; the frequency deviation degree threshold is set according to the standard of the grid frequency in China of 50Hz ± 0.5Hz; the phase unbalance degree threshold is set according to the ideal phase difference of 120° of three-phase electricity, combined with the tolerance ability of the equipment. For example, if it exceeds 10%, it is regarded as unbalanced.

[0063] By adjusting the resonance frequency of the inductor-capacitor resonance circuit of the demand compensation power supply, the electromagnetic field of the power supply combination is dynamically compensated.

[0064] After adjusting the resonance frequency, the electromagnetic balance state of the power supply combination is monitored again through the electromagnetic balance analysis module. If the electromagnetic balance state has not reached balance, the above steps are repeated to continue the compensation adjustment until the electromagnetic balance state reaches balance.

[0065] It should be noted that the specific adjustment method for adjusting the resonance frequency of the inductor-capacitor resonance circuit of the demand compensation power supply is as follows: The difference analysis is performed on the compensation parameter corresponding to the power supply to be compensated and its corresponding preset reference threshold to obtain the compensation parameter difference corresponding to the power supply to be compensated.

[0066] According to the relevant formulas in circuit theory, the relationship between the compensation parameter and the inductor and capacitor is analyzed. According to the compensation parameter difference and the relationship between the compensation parameter and the inductor and capacitor, the value of the inductor or capacitor to be adjusted is calculated, and the resonance frequency of the resonance circuit to be changed is obtained according to the resonance frequency calculation formula.

[0067] Further, the analysis of the relationship between the compensation parameter and the inductor and capacitor according to the relevant formulas in circuit theory is as follows: For example, the relationship between voltage and inductor: In an AC circuit, the voltage across the inductor is related to the inductor value and the rate of change of current. The formula is , where is the voltage across the inductor, is the inductor value, is the rate of change of current.

[0068] Relationship between voltage and capacitance: The voltage across a capacitor is related to the charge quantity and capacitance value. The formula is , where is the voltage across the capacitor, Q is the charge quantity, and C is the capacitance value.

[0069] Relationship between phase and inductance, capacitance: In an AC circuit, inductance and capacitance affect the phase characteristics of the circuit. Inductance causes the current to lag behind the voltage, while capacitance causes the current to lead the voltage. The formula is , where is the inductive reactance, , is the capacitive reactance, , is the resistance.

[0070] Resonant frequency calculation formula: In a resonant circuit, the relationship formula between the resonant frequency and inductance and capacitance is , where is the resonant frequency, L is the inductance value, and C is the capacitance value.

[0071] Through the comprehensive evaluation of voltage deviation, frequency deviation, and phase unbalance degree, combined with the weight scoring model to determine the electromagnetic balance state, and based on circuit theory to adjust the inductance-capacitance resonant frequency, the present invention realizes the synchronous compensation of voltage, frequency, and phase, solves the problem of poor electromagnetic stability in multi-source parallel connection, reduces the incidence rate of system electromagnetic imbalance, and improves the power transmission efficiency and system stability.

[0072] Illumination database, used to store the set pedestrian flow and set population density of each illumination link under the reference illumination intensity. The reference illumination intensity corresponding to each illumination link is set according to the minimum illumination intensity of different regions in the "Urban Lighting Design Standard", and is evaluated by experts in related fields according to the lighting requirements of the functional area, and the set pedestrian flow and population density are determined by combining experience and professional knowledge.

[0073] The above formulas are all dimensionless and take their numerical values for calculation. The formula is obtained by collecting a large amount of data for software simulation to obtain a formula closest to the actual situation. The preset parameters in the formula are set by technicians in this field according to the actual situation.

[0074] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product.

[0075] Those of ordinary skill in the art will realize that the modules and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or by a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0076] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically alone, or two or more modules can be integrated into one module.

[0077] As described above, this is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed in this application can easily think of changes or substitutions, which should all be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

[0078] Finally, the above is only the preferred embodiment of the present invention and is not used to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A hybrid distribution intelligent power-saving system based on electromagnetic balance, characterized in that Including: A lighting area dynamic monitoring module that divides the target lighting area into several independently controlled lighting links, collects ambient light data and pedestrian flow distribution data around each lighting link through Internet of Things sensors, and generates the dynamic load power requirements of each lighting link; A multi-power collaborative access module that selects a power supply combination from the power supplies connected to the lighting links according to the dynamic load power requirements, and establishes a power supply connection between the power supply combination and the corresponding lighting link; An electromagnetic balance analysis module that obtains the voltage, frequency, and phase parameters of each power supply in the power supply combination, and dynamically compares them with preset reference thresholds to determine the electromagnetic balance state of the power supply combination during hybrid power distribution; An electromagnetic compensation adjustment module that adjusts the resonance frequency of the inductor-capacitor resonance circuit according to the electromagnetic balance state to dynamically compensate the electromagnetic field of the power supply combination; The generation method of the dynamic load power requirements of each lighting link is as follows: Extract the pedestrian flow and personnel density in the coverage area of each lighting lamp from the pedestrian flow distribution data around each lighting link, perform light compensation analysis on them, and obtain a pedestrian flow compensation coefficient; Extract the light intensity and light uniformity in the coverage area of each lighting lamp from the ambient light data around each lighting link, perform data fusion analysis on them with the pedestrian flow compensation coefficient, and generate an environmental light compensation coefficient; Combine the environmental light compensation coefficient and the pedestrian flow compensation coefficient in the coverage area of each lighting lamp with the initial power in the coverage area of the lighting lamp for coupling analysis to generate the dynamic load power requirements of each lighting link; The method for obtaining the pedestrian flow compensation coefficient is as follows: Perform deviation ratio analysis on the pedestrian flow and personnel density in the coverage area of each lighting lamp and the set pedestrian flow and set personnel density of the corresponding lighting link in the lighting database under the reference light intensity, and calculate the average value of the deviation ratio analysis results to obtain the pedestrian flow compensation coefficient; The analysis method of the environmental light compensation coefficient is as follows: Correct the reference light intensity of the corresponding lighting link according to the pedestrian flow compensation coefficient, perform deviation degree analysis on the corrected light intensity and the light intensity in the coverage area of each lighting lamp, and obtain the light intensity deviation degree in the coverage area of each lighting lamp; Calculate the difference between the light uniformity in the coverage area of each lighting lamp and the set required light uniformity, and perform weighted analysis on the difference and the light intensity deviation degree to obtain the environmental light compensation coefficient.

2. The intelligent power-saving system for hybrid power distribution based on electromagnetic balance according to claim 1, wherein: The specific content of the multi-power collaborative access module is as follows: Screen the load demand levels according to the dynamic load power requirements of each lighting link, screen the power supply groups suitable for the load demand levels from the power supplies connected to each lighting link, record them as the suitable power supply groups, match the priorities of all the power supplies in the suitable power supply groups according to the power type priority setting rules, and select the power supply combination in combination with the priority and the dynamic load power requirements.

3. The intelligent power-saving system for hybrid power distribution based on electromagnetic balance according to claim 2, characterized in that: The selection of the power supply combination in combination with the priority and the dynamic load power requirements specifically includes: Screen the highest-priority power supply from all the power supplies in the adapted power supply group, and compare its rated output power with the dynamic load power demand. If the output power of the highest-priority power supply is greater than or equal to the dynamic load power demand, it indicates that the highest-priority power supply meets the dynamic load power demand, and the highest-priority power supply is used as the power supply combination for power supply. Otherwise, power supplies are combined in increasing order of priority until the combined power supplies meet the dynamic load power demand, and then the combined power supplies are used as the power supply combination for power supply.

4. A hybrid distribution intelligent power-saving system based on electromagnetic balance according to claim 1, characterized in that: The specific content of the electromagnetic balance analysis module is as follows: Analyze the deviation degrees of the voltage, frequency, and phase parameters of each power supply in the power supply combination for power supply from the preset reference threshold values to obtain the voltage deviation degree, frequency deviation degree, and phase imbalance degree. Substitute the voltage deviation degree, frequency deviation degree, and phase imbalance degree into the set weight scoring model to output the electromagnetic balance state score. Compare the electromagnetic balance state scores of each power supply in the power supply combination for power supply with the set balance state score threshold value to obtain the electromagnetic balance state of each power supply, and determine the electromagnetic balance state of the power supply combination for power supply during hybrid power distribution based on the electromagnetic balance state of each power supply.

5. The intelligent power-saving system for hybrid power distribution based on electromagnetic balance according to claim 4, characterized in that: The determination rule for the electromagnetic balance state of the power supply combination for power supply during hybrid power distribution is: if the electromagnetic balance states of all power supplies are in a balanced state, the electromagnetic balance state of the power supply combination for power supply during hybrid power distribution is balanced; if the electromagnetic balance state of any power supply is in an unbalanced state, the electromagnetic balance state of the power supply combination for power supply during hybrid power distribution is unbalanced.

6. The intelligent power-saving system for hybrid power distribution based on electromagnetic balance according to claim 1, wherein: The specific content of the electromagnetic compensation adjustment module is as follows: When the electromagnetic balance state of the power supply combination for power supply during hybrid power distribution is unbalanced, determine the power supplies that need to be compensated in the power supply combination for power supply and their compensation parameters, such as one or more of voltage, frequency, or phase; Dynamically compensate the electromagnetic field of the power supply combination for power supply by adjusting the resonance frequency of the inductance-capacitance resonance circuit of the power supply that needs to be compensated; After adjusting the resonance frequency, monitor the electromagnetic balance state of the power supply combination for power supply again through the electromagnetic balance analysis module. If the electromagnetic balance state still does not reach a balanced state, repeat the above steps and continue with the compensation adjustment until the electromagnetic balance state reaches a balanced state.

7. The intelligent power-saving system for hybrid power distribution based on electromagnetic balance according to claim 6, characterized in that: The specific adjustment method for adjusting the resonance frequency of the inductance-capacitance resonance circuit of the power supply that needs to be compensated is as follows: Analyze the difference between the compensation parameter corresponding to the power supply that needs to be compensated and its corresponding preset reference threshold value to obtain the compensation parameter difference corresponding to the power supply that needs to be compensated; According to the relevant formulas in circuit theory, analyze the relationship between the compensation parameter and inductance and capacitance. Calculate the inductance or capacitance value that needs to be adjusted based on the compensation parameter difference and the relationship between the compensation parameter and inductance and capacitance, and obtain the resonance frequency of the resonance circuit that needs to be changed according to the resonance frequency calculation formula.

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