Power distribution cabinet combined green energy and VVVF system

Abstract

The invention discloses a power distribution cabinet combined green energy and VVVF system. A green energy access module accesses renewable energy sources such as solar energy and wind energy, so that the system can automatically switch power sources according to requirements and supply conditions, and the proportion of green energy in total energy consumption is increased; the independent power supply module enhances the power supply stability and flexibility of the system; the VVVF driving module controls the voltage and the frequency to ensure the stability of the system; the power distribution cabinet control and monitoring module ensures intelligent and automatic management of the system, improves the flexibility and response speed of the system through accurate regulation and control of energy supply and load requirements, provides data support for system optimization through real-time data acquisition and analysis, ensures that equipment is always in an optimal operation state, and improves the system reliability. And the reliability of the system is improved. According to the invention, the energy consumption of the power distribution system is optimized, the power quality is improved, and a contribution is made to environmental sustainability.

Description

Technical Field

[0001] The present invention belongs to the field of power system and energy management, which combines related technical fields such as power distribution technology, renewable energy access, variable frequency and voltage (VVVF) technology and green energy optimization; specifically, it involves an intelligent efficiency-enhancing processing material transmission technology; specifically, it involves a distribution cabinet combined with green energy and VVVF (variable frequency and variable speed) technology; in particular, it involves a distribution cabinet combined with green energy and VVVF system. Background Art

[0002] As an important part of the power system, the distribution system is responsible for transmitting high-voltage electricity to low-voltage users through substations. Traditional distribution systems usually rely on a single power supply structure and are difficult to cope with load fluctuations and the instability of renewable energy. Therefore, improving the intelligence and greening level of the distribution system has become an important direction of current research.

[0003] With the increasing attention paid to the access and utilization of renewable energy (such as solar energy, wind energy, etc.); how to efficiently combine green energy resources such as solar energy and wind energy with the existing power system is an important research direction for the current development of power system technology. In particular, renewable energy has the characteristics of instability and intermittency, so flexible scheduling and energy management solutions are needed.

[0004] VVVF technology is usually used for the control of motors and various drive systems. It can adjust the operating state of the system through frequency conversion and voltage conversion, which can not only ensure the stability of the system but also improve energy efficiency. VVVF technology is widely used in elevators, motors, air conditioners and other equipment, but its application in power distribution systems is still an emerging field. By accurately controlling voltage and frequency, the load adaptability and power quality of the power system can be effectively improved.

[0005] The power distribution cabinet is one of the core components in the power distribution system. With the advancement of information technology, traditional power distribution cabinets are gradually developing towards intelligence. By integrating a variety of advanced technologies (such as automatic control, real-time monitoring, fault diagnosis, etc.), intelligent power distribution cabinets can achieve more refined power management and fault warning, and improve the reliability and efficiency of the system. Summary of the invention

[0006] In view of the above problems, the purpose of the present invention is to improve the efficiency, flexibility and green level of the distribution system, improve the quality of electricity, increase the proportion of green energy, and realize a low-carbon, energy-saving and environmentally friendly energy management solution by integrating innovative technologies such as renewable energy, VVVF variable frequency and voltage transformation technology, and intelligent monitoring and control systems; thereby providing a distribution cabinet combining green energy and VVVF (variable frequency and voltage transformation) technology.

[0007] The technical solution of the present invention is: a power distribution cabinet combined with green energy and VVVF system described in the present invention comprises an interconnected green energy access module, an independent power supply module, a VVVF drive module, a power distribution cabinet control and monitoring module, and a power distribution cabinet;

[0008] The green energy access module, independent power supply module, VVVF drive module, and distribution cabinet control and monitoring module are respectively connected to the distribution cabinet.

[0009] Furthermore, the green energy access module mainly functions to connect renewable energy (such as solar energy and wind energy) to the system (distribution cabinet), and the module includes an inverter and an energy storage battery;

[0010] The inverter is responsible for energy conversion, converting direct current into alternating current suitable for use, and adjusting the access amount according to real-time load demand; the energy storage battery is responsible for managing the storage and release of electrical energy to balance supply and demand.

[0011] Further, the independent power supply module includes a generator set and a backup power supply system;

[0012] The module automatically switches to the backup power supply when the main power supply fails or the power is interrupted; and the module is independent of the main power grid and supports on-site operation and commissioning of the equipment.

[0013] Furthermore, the VVVF drive module includes a frequency converter, a voltage regulator and a filter capacitor; the frequency converter is used to control the speed and torque of the motor and change the frequency;

[0014] The voltage regulator is used to adjust and stabilize the voltage supply of the motor;

[0015] The filter capacitor is used to smooth and filter out noise and fluctuations in the power supply to provide a stable voltage output.

[0016] Furthermore, the power distribution cabinet control and monitoring module includes a PLC controller, a smart meter and a temperature and humidity sensor;

[0017] The PLC controller enables the power distribution cabinet to achieve automatic control;

[0018] The smart meter realizes accurate measurement, real-time monitoring and remote management of electricity;

[0019] The temperature and humidity sensor monitors and feeds back the temperature and humidity information in the environment to protect the power distribution cabinet;

[0020] In addition, the module is also responsible for intelligent management of the equipment in the power distribution cabinet, including automatic switching of power supply, load distribution and fault protection;

[0021] Through preset control strategies, the module can optimize power distribution and improve power quality.

[0022] Furthermore, the green energy optimization objective function is used to change the voltage and frequency so as to increase the proportion of green energy use;

[0023] Among them, the green energy optimization objective function is constructed as follows:

[0024]

[0025] Where F represents the comprehensive objective function that takes green energy proportion, power quality and energy consumed by voltage and frequency conversion as optimization targets; α and β represent weight coefficients, reflecting the relative importance of green energy proportion and power quality in the comprehensive target; E green Indicates the amount of green energy used, E total represents the total energy usage; w V 、w f represents the weight, reflecting the importance of voltage and frequency stability; σ V Represents the standard deviation of voltage; σ f It represents the standard deviation of the electrical frequency; represents the correction factor in the sample standard deviation; N represents the total number of measurements; V i 、f i Respectively represent the measured values ​​of voltage V and electrical frequency f; Respectively represent the mean value of voltage V and frequency f; E voltage 、E frequency Respectively represent the energy required for voltage transformation and frequency conversion; E frequency Indicates the energy consumed by frequency modulation; P max Indicates the maximum power during frequency modulation; Δf max Indicates the maximum value of the system frequency deviation; E voltage Indicates the energy consumed by voltage regulation; Q max Indicates the maximum reactive power during voltage regulation; ΔV max Indicates the maximum value of voltage deviation; k1 and k2 represent weights k1=0.4 and k2=0.6, reflecting the importance of considering the energy consumed by the primary voltage and frequency conversion for the target value F.

[0026] Furthermore, the Nutcracker optimization algorithm is used to optimize the voltage and frequency. The specific process is as follows:

[0027] (1): Generate the initial value of the target value F after comprehensively considering the proportion of green energy and power quality:

[0028] F ij =rand×(U j -L j )+L j , j = 1, 2.., D (1)

[0029] In the formula, Fij It represents the target value after comprehensively considering the proportion of green energy and power quality, U j , L j represents the lower and upper bounds of dimension j, rand∈[0,1] represents a random value, and D represents the total number of dimensions;

[0030] (2): Use the fitness function to evaluate each F and determine the best solution voltage V and frequency f, and then generate random values ​​of φ∈[0,1];

[0031] If the nutcracker determines the right seed, i.e. the right voltage V and frequency f, it will bury it in the cache of the storage area; otherwise, it will search for another cone at a different location, i.e. continue searching for the right voltage V and frequency f; specifically, it can be expressed as:

[0032]

[0033] In the formula, F ij (t+1) represents the updated value at iteration t+1, F ij (t) represents the updated value at iteration t; Uj and Lj represent the boundaries of the j-th dimension region; r, r1 represent ∈R random numbers, τ1, τ2 represent variable 1, variable 2, and variable represents the index of the solution randomly selected from F; A, B, and C represent the index of the selected solution; F Aj (t) represents the optimal value of the target value after comprehensively considering the proportion of green energy and power quality, obtained by iterating solution A for t times; F Bj (t) represents the optimal value of the target value after comprehensively considering the proportion of green energy and power quality, obtained by iterating the B solution for t times; F Cj (t) represents the optimal value of the target value after comprehensively considering the proportion of green energy and power quality by iterating the C solution for t times, t max represents the total number of iterations, F mj (t) represents the mean value of F at the tth iteration, μ represents a custom variable, which is defined as follows:

[0034]

[0035] In the formula, r 1、 r 2、 r3 represents a random number ∈R, τ3, τ4, τ5 represent variables 3 to 5, which are the indices of solutions randomly selected from F;

[0036] (3): In the development stage, the nutcracker searches for pine seed crops, that is, it searches for a combination of voltage V and frequency f; as shown in the following formula:

[0037]

[0038] In the formula, l represents a factor that decreases linearly from 1 to 0, and λ represents the iteration factor;

[0039] (4): Use the following formula to switch between the foraging phase and the caching phase:

[0040]

[0041] Where P a1 represents the probability, which decreases linearly from 1 to 0; φ represents a random value; Eq. (3) represents formula (3); Eq. (5) represents formula (5);

[0042] (5): The second exploration, i.e., the cache search phase; switching from the hidden mode to the exploration mode, i.e., continuing to search for a suitable combination of voltage V and frequency f, using two reference points RP as signal markers for a single cache. The first RP is generated using equation (7):

[0043]

[0044] (6) RP i1 (t+1) is defined as:

[0045]

[0046] Where θ represents a random value, selected from [0, π]; the value of α is determined as:

[0047]

[0048] In the formula, tmax represents the total number of generations;

[0049] (7): A spiral search strategy is introduced to improve the performance of the global search voltage V and electrical frequency f combination. The spiral search strategy formula is as follows:

[0050]

[0051] Where F(t+1) represents the next solution or individual, that is, the position of voltage V and frequency f; F b (t) represents the current best solution, i.e. the position of the best voltage V and frequency f combination; e represents the base of the natural logarithm; δ represents the parameter controlling the search range; represents the current individual position; t represents the current iteration number; t max represents the maximum number of iterations, cos(δ·2π) represents the periodic term in the spiral search, which is used to adjust the search direction; the second reference point RP is used to enhance Fi to help the nutcracker explore the area and find the optimal combination of voltage V and frequency f. The formula is as follows:

[0052]

[0053] Where U and L represent the boundaries of the search domain; τ and r4 represent random values ​​of ∈R; Prp represents a probability used to determine the percentage of exploring other regions [L,U] globally;

[0054] Therefore, RP is used to enhance the current solution Fi by the following formula:

[0055]

[0056] (8): Recovery phase, represented by the following formula:

[0057]

[0058] Where r1, τ3, τ4 and r2 represent random values;

[0059] (9): Use the second RP to update the position of the nutcracker, i.e. the target value F, as shown below:

[0060]

[0061] (10): Formula (14) will be updated according to the second reference point, and the updated formula is shown in Formula (16):

[0062]

[0063] Where τ5τ6 represents the variable, which is the index of the solution randomly selected from F;

[0064] (11): The simulation expression of the recovery behavior is:

[0065]

[0066] Wherein, Eq. (14) and Eq. (16) are the above formulas (14) and (16); τ7 and τ8 represent variables;

[0067] (12): To balance the two RPs and improve the power quality, the following formula is used:

[0068]

[0069] (13): The exchange between the cache search phase and the recovery phase is performed through formula (19):

[0070]

[0071] In the formula, φ represents a random number; represents a probability value;

[0072] (14): The updated solution Fi, that is, the updated target value, is compared with its original value, and the best of the two is retained, that is, the updated voltage V frequency f combination is compared with the original combination, and the best combination is retained; the specific formula is as follows:

[0073]

[0074] Through the improved Nutcracker algorithm, we find the appropriate combination of voltage V and frequency f, and combine it with VVVF technology to increase the proportion of green energy in total energy consumption, improve power quality and ensure the stability of the distribution cabinet system.

[0075] The beneficial effects of the present invention are: 1. The present invention optimizes energy consumption, increases the proportion of green energy, reduces losses in the power distribution process, and improves power quality. Reduces dependence on traditional fossil energy and promotes the green transformation of the energy structure. Significantly enhances the stability of the power distribution system; 2. The present invention establishes a link between the proportion of green energy, power quality and changes in voltage and frequency through the established objective function. The Nutcracker algorithm is used to optimize the optimal voltage and frequency, and ultimately the optimal voltage and frequency values ​​under total considerations are determined, thereby achieving environmental protection and high quality. The present invention improves the convergence speed of the algorithm and improves the ability of global search. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] Figure 1 It is a structural framework diagram of the present invention. DETAILED DESCRIPTION

[0077] The specific technical scheme of the present invention is further described in detail below with reference to specific examples.

[0078] The present invention proposes a power distribution cabinet combined with green energy and VVVF system (a power distribution cabinet combined with green energy and VVVF (voltage conversion and frequency conversion) technology) according to the present invention, including an interconnected green energy access module, an independent power supply module, a VVVF drive module, a power distribution cabinet control and monitoring module, and a power distribution cabinet;

[0079] The green energy access module, independent power supply module, VVVF drive module, and distribution cabinet control and monitoring module are respectively connected to the distribution cabinet.

[0080] Furthermore, the green energy access module mainly functions to: connect renewable energy (such as solar energy and wind energy) to the system (distribution cabinet) to ensure the stable supply of these green energy;

[0081] The module includes an inverter, which is responsible for energy conversion, converting direct current into alternating current suitable for use, and adjusting the access amount according to real-time load demand;

[0082] Set the objective function to link the green energy ratio, power quality and voltage and frequency changes;

[0083] In addition, it also includes energy storage batteries, which are responsible for managing the storage and release of electrical energy, balancing supply and demand, and improving system stability; the green energy access module can increase the proportion of green energy use, improve electricity quality, and support sustainable development goals.

[0084] Furthermore, the independent power supply module includes a generator set and a backup power supply system, which mainly provides a stable and reliable power supply;

[0085] The module can automatically switch to the backup power supply when the main power fails or the power is interrupted to ensure the continuous operation of the system;

[0086] In addition, the independent power supply module can be independent of the main power grid, support on-site operation and debugging of the equipment, and improve the flexibility of the system; it also has overload and short-circuit protection functions to ensure the safe operation of the equipment; by providing stable power for key equipment, the independent power supply module effectively improves the reliability and availability of the system, ensuring normal operation under various environmental conditions.

[0087] Furthermore, the VVVF drive module includes a frequency converter to control the speed and torque of the motor and change the frequency; a voltage regulator to adjust and stabilize the voltage supply of the motor to ensure that the motor can obtain appropriate voltage under different loads and operating conditions; a filter capacitor to smooth and filter out noise and fluctuations in the power supply and provide a stable voltage output;

[0088] The module uses variable frequency and voltage technology to adjust the motor's operating frequency and voltage according to actual load requirements, thereby achieving precise speed control and torque regulation; this not only improves the motor's operating efficiency, but also reduces energy consumption, especially in application scenarios that require speed change;

[0089] This module can also improve the power quality of the system when the inverter or frequency converter is running. Through intelligent control, the VVVF (variable frequency and variable voltage) drive module can optimize the dynamic response of the system, reduce mechanical wear and improve the reliability of the overall system;

[0090] The flexibility of this module is also reflected in its ability to seamlessly connect with other system components (such as the green energy access module), making the use of green energy more efficient.

[0091] Furthermore, the control and monitoring module of the power distribution cabinet includes a PLC controller, a smart meter, and a temperature and humidity sensor. The PLC controller enables the power distribution cabinet to be automatically controlled; the smart meter enables accurate metering, real-time monitoring and remote management of electricity; the temperature and humidity sensor monitors and feeds back the temperature and humidity information in the environment, thereby protecting the power distribution cabinet;

[0092] This module analyzes relevant data in real time and feeds back to management personnel to promptly detect potential faults and abnormal situations;

[0093] In addition, the module is also responsible for intelligent management of the equipment in the power distribution cabinet, including automatic power switching, load distribution and fault protection. Through the preset control strategy, the module can optimize power distribution, improve power quality and enhance system reliability.

[0094] Furthermore, the green energy optimization objective function is used to change the voltage and frequency so that the proportion of green energy usage is higher, the power quality is better, and the goal of being more environmentally friendly is achieved;

[0095] Specifically, the green energy optimization objective function is constructed as follows:

[0096]

[0097] Where F is the comprehensive objective function that takes green energy proportion, power quality and energy consumed by voltage and frequency conversion as optimization targets; α and β are weight coefficients, reflecting the relative importance of green energy proportion and power quality in the comprehensive target; E green is the amount of green energy used; E total is the total energy usage; w V 、w f is the weight, reflecting the importance of voltage and frequency stability; σ V is the standard deviation of the voltage; σ f is the standard deviation of the electrical frequency; is the correction factor in the sample standard deviation (Bessel correction); N is the total number of measurements; V i 、f i are the measured values ​​of voltage V and electrical frequency f respectively; are the mean values ​​of voltage V and frequency f respectively; E voltage 、E frequency E is the energy required for voltage transformation and frequency conversion respectively; frequency Indicates the energy consumed by frequency modulation (unit: Watt-hour Wh or Joule J); P max Indicates the maximum power during frequency modulation (unit: watt W); Δf max Indicates the maximum value of the system frequency deviation (unit: Hertz Hz); E voltage Indicates the energy consumed by voltage regulation (unit: Watt-hour Wh or Joule J); Q max Indicates the maximum reactive power during voltage regulation (unit: VAR); ΔV max It represents the maximum value of voltage deviation (unit: volt V); k1 and k2 are weights k1=0.4 and k2=0.6, which reflects the importance of considering the energy consumed by the voltage and frequency conversion for the target value F.

[0098] Furthermore, the Nutcracker optimization algorithm is used to optimize the optimal voltage and frequency, and finally the optimal voltage and frequency values ​​under comprehensive considerations are determined;

[0099] Specifically, the Nutcracker optimization algorithm is used to optimize the voltage and frequency, and the specific process is as follows:

[0100] (1): Generate the initial value of the target value F after comprehensively considering the proportion of green energy and power quality:

[0101] F ij =rand×(U j -L j )+L j ,j=1,2...,D (1)

[0102] In the formula, Fi j It represents the target value after comprehensively considering the proportion of green energy and power quality, U j , L j represents the lower and upper bounds of dimension j, rand∈[0,1] represents a random value, and D represents the total number of dimensions;

[0103] (2): Use the fitness function to evaluate each F and determine the best solution voltage V and frequency f, and then generate random values ​​of φ∈[0,1];

[0104] If the nutcracker determines the right seed, i.e. the right voltage V and frequency f, it will bury it in the cache of the storage area; otherwise, it will search for another cone at a different location, i.e. continue searching for the right voltage V and frequency f; specifically, it can be expressed as:

[0105]

[0106] In the formula, F ij (t+1) represents the updated value at iteration t+1; F ij (t) represents the updated value at iteration t; Uj and Lj represent the boundaries of the j-th dimension region; r, r1 represent ∈R random numbers, τ1, τ2 represent variable 1, variable 2, and variable represents the index of the solution randomly selected from F; A, B and C represent the index of the selected solution (appropriate voltage V frequency f combination); F Aj (t) represents the optimal value of the target value after comprehensively considering the proportion of green energy and power quality, obtained by iterating solution A for t times; F Bj (t) represents the optimal value of the target value after comprehensively considering the proportion of green energy and power quality, obtained by iterating the B solution for t times; F Cj (t) represents the optimal value of the target value after comprehensively considering the proportion of green energy and power quality, obtained by iterating the C solution for t times; tmax Indicates the total number of iterations; F mj (t) represents the mean value of F at the tth iteration; μ represents a custom variable; its definition is as follows:

[0107]

[0108] In the formula, r 1、 r 2、 r3 represents a random number ∈R, τ3, τ4, τ5 represent variables 3 to 5, which are the indices of solutions randomly selected from F;

[0109] (3): During the development phase, the nutcracker searches for pine seed crops, that is, it searches for a combination of voltage V and frequency f; this can be expressed using the following formula:

[0110]

[0111] In the formula, l represents a factor that decreases linearly from 1 to 0, and λ represents the iteration factor;

[0112] (4): Use the following formula to switch between the foraging phase and the caching phase:

[0113]

[0114] Where P a1 represents the probability, which decreases linearly from 1 to 0; φ represents a random value; Eq. (3) represents formula (3); Eq. (5) represents formula (5);

[0115] (5): The second exploration, i.e., cache search phase, occurs when winter comes. It switches from hidden mode to exploration mode, i.e., continues to search for a suitable combination of voltage V and frequency f, using two reference points RP as signal markers for a single cache. The first RP is generated using equation (7):

[0116]

[0117] (6) RP i1 (t+1) is defined as:

[0118]

[0119] Where θ represents a random value, selected from [0, π]; the value of α is determined as:

[0120]

[0121] In the formula, tmax represents the total number of generations;

[0122] (7): A spiral search strategy is introduced to improve the performance of the global search voltage V and electrical frequency f combination. The spiral search strategy formula is as follows:

[0123]

[0124] Where F(t+1) represents the next solution or individual, that is, the position of voltage V and frequency f; F b (t) represents the current best solution, i.e. the position of the best voltage V and frequency f combination; e represents the base of the natural logarithm; δ represents the parameter controlling the search range; represents the current individual position; t represents the current iteration number; t max represents the maximum number of iterations, cos(δ·2π) represents the periodic term in the spiral search, which is used to adjust the search direction; the second reference point RP is used to enhance Fi to help the nutcracker explore the area and find the optimal combination of voltage V and frequency f. The formula is as follows:

[0125]

[0126] Where U and L represent the boundaries of the search domain; τ and r4 represent random values ​​of ∈R; Prp represents a probability used to determine the percentage of exploring other regions [L,U] globally;

[0127] Therefore, RP can be used to enhance the current solution Fi by the following formula:

[0128]

[0129] (8): Recovery phase, represented by the following formula:

[0130]

[0131] Where r1, τ3, τ4 and r2 represent random values;

[0132] (9): Use the second RP to update the position of the nutcracker, i.e. the target value F, as shown below:

[0133]

[0134] (10): Formula (14) will be updated according to the second reference point, and the updated formula is shown in Formula (16):

[0135]

[0136] Where τ5τ6 represents the variable, which is the index of the solution randomly selected from F;

[0137] (11): The simulation expression of the recovery behavior is:

[0138]

[0139] Wherein, Eq. (14) and Eq. (16) are the above formulas (14) and (16); τ7 and τ8 represent variables;

[0140] (12): In order to balance the exploration of the two RPs and better improve the power quality, the following equation is used:

[0141]

[0142] (13): The exchange between the cache search phase and the recovery phase is performed through formula (19):

[0143]

[0144] In the formula, φ represents a random number; represents a probability value;

[0145] (14): The updated solution Fi, that is, the updated target value, is compared with its original value, and the best one of the two is retained, that is, the updated voltage V frequency f combination is compared with the original combination, and the best combination is retained; the specific formula is as follows:

[0146]

[0147] Through the improved Nutcracker algorithm, the most suitable combination of voltage V and frequency f can be found. Combined with VVVF technology, the proportion of green energy in total energy consumption can be increased, the power quality can be improved and the stability of the distribution cabinet system can be ensured.

Claims

1. A power distribution cabinet combined with green energy and VVVF system, characterized in that: It includes interconnected green energy access module, independent power supply module, VVVF drive module, distribution cabinet control and monitoring module, and distribution cabinet; The green energy access module, independent power supply module, VVVF drive module, and distribution cabinet control and monitoring module are respectively connected to the distribution cabinet.

2. A power distribution cabinet combined with green energy and VVVF system according to claim 1, characterized in that: The green energy access module connects the renewable energy to the power distribution cabinet, and the module includes an inverter and an energy storage battery.

3. A power distribution cabinet combined with green energy and VVVF system according to claim 2, characterized in that: The inverter is responsible for energy conversion, converting direct current into alternating current suitable for use, and adjusting the access amount according to real-time load demand; the energy storage battery is responsible for managing the storage and release of electrical energy to balance supply and demand.

4. A power distribution cabinet combined with green energy and VVVF system according to claim 1, characterized in that: The independent power supply module includes a generator set and a backup power supply system; The module automatically switches to the backup power supply when the main power supply fails or the power is interrupted; and the module is independent of the main power grid and supports on-site operation and commissioning of the equipment.

5. A power distribution cabinet combined with green energy and VVVF system according to claim 1, characterized in that: The VVVF driving module includes a frequency converter, a voltage regulator and a filter capacitor.

6. A power distribution cabinet combined with green energy and VVVF system according to claim 5, characterized in that: The frequency converter is used to control the speed and torque of the motor and change the frequency; The voltage regulator is used to adjust and stabilize the voltage supply of the motor; The filter capacitor is used to smooth and filter out noise and fluctuations in the power supply to provide a stable voltage output.

7. A power distribution cabinet combined with green energy and VVVF system according to claim 1, characterized in that: The power distribution cabinet control and monitoring module includes a PLC controller, a smart meter and a temperature and humidity sensor.

8. A power distribution cabinet combined with green energy and VVVF system according to claim 7, characterized in that: The PLC controller enables the power distribution cabinet to achieve automatic control; The smart meter realizes accurate measurement, real-time monitoring and remote management of electricity; The temperature and humidity sensor monitors and feeds back the temperature and humidity information in the environment to protect the power distribution cabinet; In addition, the module is also responsible for intelligent management of the equipment in the power distribution cabinet, including automatic switching of power supply, load distribution and fault protection; Through preset control strategies, the module can optimize power distribution and improve power quality.

9. A power distribution cabinet combined with green energy and VVVF system according to claim 1, characterized in that: Using green energy to optimize the objective function to change the voltage and frequency to increase the proportion of green energy use; Among them, the green energy optimization objective function is constructed as follows: Where F represents the comprehensive objective function that takes green energy proportion, power quality and energy consumed by voltage and frequency conversion as optimization targets; α and β represent weight coefficients, reflecting the relative importance of green energy proportion and power quality in the comprehensive target; E green Indicates the amount of green energy used, E total represents the total energy usage; w V 、w f represents the weight, reflecting the importance of voltage and frequency stability; σ V Represents the standard deviation of voltage; σ f It represents the standard deviation of the electrical frequency; represents the correction factor in the sample standard deviation; N represents the total number of measurements; V i 、f i Respectively represent the measured values ​​of voltage V and electrical frequency f; Respectively represent the mean values ​​of voltage V and frequency f; E voltage 、E frequency Respectively represent the energy required for voltage transformation and frequency conversion; E frequency Indicates the energy consumed by frequency modulation; P max Indicates the maximum power during frequency modulation; Δf max Indicates the maximum value of the system frequency deviation; E voltage Indicates the energy consumed by voltage regulation; Q max Indicates the maximum reactive power during voltage regulation; ΔV max Indicates the maximum value of voltage deviation; k1 and k2 represent weights k1=0.4 and k2=0.6, reflecting the importance of considering the energy consumed by the primary voltage and frequency conversion for the target value F.

10. A power distribution cabinet combined with green energy and VVVF system according to claim 9, characterized in that: The Nutcracker optimization algorithm is used to optimize the voltage and frequency. The specific process is as follows: (1): Generate the initial value of the target value F after comprehensively considering the proportion of green energy and power quality: F ij =rand×(U j -L j )+L j ,j=1,2...,D (1) In the formula, F ij It represents the target value after comprehensively considering the proportion of green energy and power quality, U j , L j represents the lower and upper bounds of dimension j, rand∈[0,1] represents a random value, and D represents the total number of dimensions; (2): Use the fitness function to evaluate each F and determine the best solution voltage V and frequency f, and then generate random values ​​of φ∈[0,1]; If the nutcracker determines the right seed, i.e. the right voltage V and frequency f, it will bury it in the cache of the storage area; otherwise, it will search for another cone at a different location, i.e. continue searching for the right voltage V and frequency f; specifically, it can be expressed as: In the formula, F ij (t+1) represents the updated value at iteration t+1, F ij (t) represents the updated value at iteration t; Uj and Lj represent the boundaries of the j-th dimension region; r, r1 represent ∈R random numbers, τ1, τ2 represent variable 1, variable 2, and variable represents the index of the solution randomly selected from F; A, B, and C represent the index of the selected solution; F Aj (t) represents the optimal value of the target value after comprehensively considering the proportion of green energy and power quality, obtained by iterating solution A for t times; F Bj (t) represents the optimal value of the target value after comprehensively considering the proportion of green energy and power quality, obtained by iterating the B solution for t times; F Cj (t) represents the optimal value of the target value after comprehensively considering the proportion of green energy and power quality by iterating the C solution for t times, t max represents the total number of iterations, F mj (t) represents the mean value of F at the tth iteration, μ represents a custom variable, which is defined as follows: In the formula, r 1、 r 2、 r3 represents a random number ∈R, τ3, τ4, τ5 represent variables 3 to 5, which are the indices of solutions randomly selected from F; (3): In the development stage, the nutcracker searches for pine seed crops, that is, it searches for a combination of voltage V and frequency f; as shown in the following formula: In the formula, l represents a factor that decreases linearly from 1 to 0, and λ represents the iteration factor; (4): Use the following formula to switch between the foraging phase and the caching phase: Where P a1 represents the probability, which decreases linearly from 1 to 0; φ represents a random value; Eq. (3) represents formula (3); Eq. (5) represents formula (5); (5): The second exploration, i.e., the cache search phase; switching from the hidden mode to the exploration mode, i.e., continuing to search for a suitable combination of voltage V and frequency f, using two reference points RP as signal markers for a single cache. The first RP is generated using equation (7): (6) RP i1 (t+1) is defined as: Where θ represents a random value, selected from [0, π]; the value of α is determined as: In the formula, tmax represents the total number of generations; (7): A spiral search strategy is introduced to improve the performance of the global search voltage V and electrical frequency f combination. The spiral search strategy formula is as follows: Where F(t+1) represents the next solution or individual, that is, the position of voltage V and frequency f; F b (t) represents the current best solution, i.e. the position of the best voltage V and frequency f combination; e represents the base of the natural logarithm; δ represents the parameter controlling the search range; represents the current individual position; t represents the current iteration number; t max represents the maximum number of iterations, cos(δ·2π) represents the periodic term in the spiral search, which is used to adjust the search direction; the second reference point RP is used to enhance Fi to help the nutcracker explore the area and find the optimal combination of voltage V and frequency f. The formula is as follows: Where U and L represent the boundaries of the search domain; τ and r4 represent random values ​​of ∈R; Prp represents a probability used to determine the percentage of exploring other regions [L,U] globally; Therefore, RP is used to enhance the current solution Fi by the following formula: (8): Recovery phase, represented by the following formula: Where r1, τ3, τ4 and r2 represent random values; (9): Use the second RP to update the position of the nutcracker, i.e. the target value F, as shown below: (10): Formula (14) will be updated according to the second reference point, and the updated formula is shown in Formula (16): Where τ5τ6 represents the variable, which is the index of the solution randomly selected from F; (11): The simulation expression of the recovery behavior is: Wherein, Eq. (14) and Eq. (16) are the above formulas (14) and (16); τ7 and τ8 represent variables; (12): To balance the two RPs and improve the power quality, the following formula is used: (13): The exchange between the cache search phase and the recovery phase is performed through formula (19): In the formula, φ represents a random number; represents a probability value; (14): The updated solution Fi, that is, the updated target value, is compared with its original value, and the best of the two is retained, that is, the updated voltage V frequency f combination is compared with the original combination, and the best combination is retained; the specific formula is as follows: Through the improved Nutcracker algorithm, we find the appropriate combination of voltage V and frequency f, and combine it with VVVF technology to increase the proportion of green energy in total energy consumption, improve power quality and ensure the stability of the distribution cabinet system.

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