A distributed energy collaborative scheduling system and method of an energy-saving ring network box

Abstract

The present application relates to the technical field of coordinated scheduling, and specifically discloses a distributed energy coordinated scheduling system and method for energy-saving ring network boxes, comprising the following steps: step S1: distributing electric energy, acquiring terminals and new energy power generation terminals in a power distribution area, determining the proportion of electric energy consumption of each terminal and the proportion of corresponding branch current, establishing branch points, and distributing new energy electric energy to terminals in a distributed manner according to the proportions; step S2: constructing monitoring and compensation points, setting current monitoring points between the new energy power generation terminals and the branch points, setting elastic compensation points between the corresponding branch points of each terminal and the terminals, and monitoring the main transmission line current in real time, generating and transmitting compensation signals; and step S3: executing compensation, the elastic compensation points clearly determine compensation information according to the compensation signals, input compensation current to the branch transmission line with pre-stored electric energy, guarantee the stable power supply of the terminals, and provide support for the efficient and stable operation of the power distribution network tail, and help the large-scale application of distributed energy under the double carbon strategy.

Description

Technical Field

[0001] This invention relates to the field of collaborative scheduling technology, specifically to a distributed energy collaborative scheduling system and method for an energy-saving ring network box. Background Technology

[0002] With the deepening implementation of the dual-carbon strategy, the penetration rate of distributed energy sources, represented by photovoltaics and wind power, in the power distribution network continues to increase. As the core node at the end of the power distribution network, the ring main unit is transforming from a traditional power distribution unit into an intelligent hub integrating energy distribution, information interaction, and intelligent collaboration.

[0003] However, distributed energy resources, especially photovoltaic and wind power, exhibit significant intermittency, randomness, and volatility in their output. This instability poses a severe challenge to the operation of traditional distribution networks. When a large number of distributed energy resources are connected to the area served by a ring network box, the drastic fluctuations in their power directly lead to unstable injection current at the grid connection point. This, in turn, causes node voltage exceeding limits through line impedance, resulting in a series of power quality problems such as excessively high or low voltage, voltage fluctuations, and flicker. This not only affects the power quality and safe and stable operation of electrical equipment for users within the power supply area but also makes the power flow direction on the lines complex and changeable, greatly increasing the difficulty of distribution network dispatching and operation. Summary of the Invention

[0004] The purpose of this invention is to provide a distributed energy collaborative scheduling system and method for energy-saving ring network boxes, and to solve the following technical problems.

[0005] The objective of this invention can be achieved through the following technical solutions: A distributed energy collaborative scheduling method for an energy-saving ring network box includes the following steps: Step S1: Obtain all terminals and new energy power generation terminals within the power distribution area, determine the power consumption ratio of each terminal, and determine the branch current ratio of the terminal based on the power consumption ratio; establish branch points, and the branch points distribute and transmit the power generated by the new energy power generation terminal to each terminal according to the branch current ratio of each terminal. Step S2: Set up a current monitoring point between the new energy power generation terminal and the branch point; for any terminal, set up an elastic compensation point between the branch point and the terminal, and the elastic compensation point pre-stores an amount of electricity greater than a preset power threshold; The current monitoring point monitors the current data on the main transmission line in real time, generates a compensation signal, and transmits the compensation signal to the elastic compensation point. The main transmission line is the transmission line between the new energy power generation end and the branch point. Step S3: The elastic compensation point obtains compensation information based on the compensation signal; the elastic compensation point inputs compensation current to the branch transmission line based on the compensation information and the pre-stored power, wherein the branch transmission line is the transmission line between the branch point and the terminal.

[0006] As a further aspect of the present invention: the process for determining the proportion of power consumption of the terminal includes: Historical electricity consumption data is obtained, including weather data of the power distribution area, total power consumption, and power consumption of the terminal in each power consumption cycle; the weather data includes temperature, light intensity, and wind speed, and the duration of the power consumption cycle is set within the range of [1, 7] days; based on the historical electricity consumption data, the consumption ratio of the terminal in each power consumption cycle is obtained as P = q / Q × 100%, where q is the power consumption of the terminal in the power consumption cycle, and Q is the power consumption of the power distribution area; Based on weather data for each electricity consumption cycle, the electricity consumption environment characteristics for each electricity consumption cycle are obtained, thus obtaining the electricity consumption environment characteristics of the terminal in each electricity consumption cycle. The electricity consumption environment characteristics and consumption ratio for each electricity consumption cycle are recorded as sample data. An initial model is established based on a neural network. The sample data is input into the initial model to train the initial model and obtain a prediction model. Real-time weather data for the next electricity consumption cycle is acquired and recorded as predicted weather data. The predicted weather data is then input into the prediction model to obtain the percentage of electricity consumption of the terminal in the next electricity consumption cycle.

[0007] As a further aspect of the present invention: the process of determining the branch current ratio of the terminal includes obtaining the total current of the new energy power generation terminal, denoted as I, and then determining the branch current ratio I of the terminal. bc =I×P.

[0008] As a further aspect of the present invention: the process of establishing the branch point includes: Obtain the geographical data of the power distribution area, and establish a geographical model of the power distribution area based on the geographical data; mark the locations of each terminal and new energy power generation terminal on the geographical model, and determine the possible areas for branch points, wherein the possible areas are areas that meet the conditions for establishing branch points; The buildable area is divided into rectangular grids to obtain rectangular grids. All intersections of the rectangular grids are recorded as buildable points. The power distribution transmission lines when the branch point is established at the buildable point are obtained, and the total line consumption of the power distribution transmission lines is obtained and recorded as the total line consumption of the buildable point. The buildable point with the minimum total line consumption is selected and recorded as the optimal buildable point. The branch point is established at the optimal buildable point.

[0009] As a further aspect of the present invention: the process of pre-storing a preset energy threshold at the elastic compensation point includes: The historical power generation data of the new energy power generation terminal is obtained, including the power generation power of the new energy power generation terminal at each time point within the electricity consumption cycle; based on the historical power generation data, each time stamp and its corresponding power generation power are fitted to generate the power change curve of the new energy power generation terminal. Obtain the minimum point on the power change curve, and obtain the two zero points adjacent to the minimum point. Determine the horizontal distance between the two zero points, denoted as the trough duration. Obtain the minimum point with the smallest vertical coordinate value, denoted as the trough point. Determine the maximum trough duration on the power change curve, denoted as the longest trough duration. Then, obtain the preset energy threshold W. t =P min ×T, where P min is the ordinate value corresponding to the trough point, and T is the duration of the longest trough.

[0010] As a further aspect of the present invention: the compensation signal carries compensation information, and the process of generating the compensation information includes: Set the reference current value range [I] min I max Based on the current data, the timestamp when the current value of the main transmission line does not fall within the range of the reference current value is obtained in real time and recorded as the fluctuation timestamp; the transmission distance between the branch point and the elastic compensation point on the transmission line is obtained, and the transmission time required for the current to travel the transmission distance is obtained to obtain the compensation timestamp T. c =T w +time, where T w The timestamp is a fluctuating value, where time represents the transmission time. Obtain the current value of the main transmission line at the fluctuation timestamp, and obtain the compensation value corresponding to the fluctuation timestamp based on the reference current value range. Where I´ is the current value of the main transmission line; the fluctuation timestamp of the main transmission line and the corresponding compensation value are obtained in real time to obtain compensation information.

[0011] As a further aspect of the present invention: the process of the elastic compensation point inputting compensation current to the branch transmission line includes: For any fluctuation timestamp, if the compensation value Cv corresponding to the fluctuation timestamp is less than 0, then the phase and amplitude of the current in the branch transmission line are obtained. Based on the phase and amplitude, a DC current with a current value of |Cv| is obtained from the pre-stored electrical quantity, and the DC current is converted into AC current based on the power electronic conversion device to obtain the compensation current.

[0012] A distributed energy collaborative dispatch system for an energy-saving ring network box, characterized in that it includes: The scheduling module acquires all terminals and new energy power generation terminals within the power distribution area, determines the power consumption ratio of each terminal, and determines the branch current ratio of each terminal based on the power consumption ratio; it establishes branch points, which distribute and transmit the power generated by the new energy power generation terminals to each terminal according to the branch current ratio of each terminal. Flexible compensation module: A current monitoring point is set between the new energy power generation terminal and the branch point; for any terminal, a flexible compensation point is set between the branch point and the terminal, and the flexible compensation point pre-stores an amount of electricity greater than a preset power threshold; The current monitoring point monitors the current data on the main transmission line in real time, generates a compensation signal, and transmits the compensation signal to the elastic compensation point. The main transmission line is the transmission line between the new energy power generation end and the branch point. The elastic compensation point obtains compensation information based on the compensation signal; based on the compensation information and using pre-stored power, the elastic compensation point inputs compensation current to the branch transmission line, which is the transmission line between the branch point and the terminal.

[0013] The beneficial effects of this invention are: This invention effectively adapts to the intermittent and fluctuating characteristics of distributed renewable energy, achieving multiple core benefits through multi-dimensional optimization. Utilizing a neural network model combined with historical electricity consumption data and weather factors, it predicts the proportion of terminal energy consumption. Coupled with branch points selected based on the principle of minimizing total line consumption, it can accurately allocate renewable energy according to the actual needs of the terminals, significantly reducing line losses during power distribution and transmission, aligning with the core positioning of energy conservation. Furthermore, by setting current monitoring points on the main transmission line and elastic compensation points with pre-stored energy on branch lines, it can capture current fluctuations in real time and plan responses in advance through compensation timestamps. This ensures the stability of terminal power supply through precise input compensation current via power electronic conversion equipment, avoiding power quality issues such as voltage exceeding limits and fluctuations. It also recovers and stores redundant energy when there is excess current, improving energy utilization. The overall solution upgrades the ring network box from a traditional power distribution unit to an intelligent collaborative hub, mitigating the impact of large-scale distributed energy access on the distribution network, reducing scheduling difficulties, and adapting to the diverse electricity needs of residents, public facilities, and commercial buildings. It provides support for the efficient and stable operation of the distribution network's end points, facilitating the large-scale application of distributed energy under the dual-carbon strategy. Attached Figure Description

[0014] The invention will now be further described with reference to the accompanying drawings.

[0015] Figure 1 This is a schematic diagram of the structure of a distributed energy collaborative scheduling system and method for an energy-saving ring network box according to the present invention. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] Please see Figure 1 As shown, this invention is a distributed energy collaborative scheduling method for an energy-saving ring network box, comprising the following steps: Step S1: Obtain all terminals and new energy power generation terminals within the power distribution area, determine the power consumption ratio of each terminal, and determine the branch current ratio of the terminal based on the power consumption ratio; establish branch points, and the branch points distribute and transmit the power generated by the new energy power generation terminal to each terminal according to the branch current ratio of each terminal. Specifically, by leveraging existing smart meters and energy management systems in the distribution area, basic information on all terminals and new energy power generation terminals such as photovoltaic power stations and wind turbines within the area is accurately obtained. Based on historical electricity consumption data, real-time load monitoring, and electricity consumption patterns at different times and seasons, the proportion of electricity consumption for each terminal is statistically calculated. According to the electricity consumption characteristics of the terminals, such as the power factor of inductive loads, the differences in stable energy consumption of resistive loads, and the timing of terminal electricity consumption, the proportion of terminal branch current adapted to actual transmission needs is dynamically calculated through power system simulation algorithms. Branch points are planned and established. Based on smart distribution switches and power distribution devices, the power distribution is intelligently adjusted according to the proportion of branch current for each terminal, so that the electricity generated by the new energy power generation terminal is distributed and transmitted to each terminal in a highly efficient and low-loss manner. At the same time, expandable interfaces are reserved to adapt to the access needs of future new terminals or power generation terminals. In a preferred embodiment of the present invention, the terminal is an electrical device within a power distribution area, including residential electricity, public facilities, and commercial buildings; the new energy power generation terminal is a power production device based on renewable energy technology. In a preferred embodiment of the present invention, the process of determining the power consumption ratio of the terminal includes: Historical electricity consumption data is obtained, including weather data of the power distribution area, total power consumption, and power consumption of the terminal in each power consumption cycle; the weather data includes temperature, light intensity, and wind speed, and the duration of the power consumption cycle is set within the range of [1, 7] days; based on the historical electricity consumption data, the consumption ratio of the terminal in each power consumption cycle is obtained as P = q / Q × 100%, where q is the power consumption of the terminal in the power consumption cycle, and Q is the power consumption of the power distribution area; Based on weather data for each electricity consumption cycle, the electricity consumption environment characteristics for each electricity consumption cycle are obtained, thus obtaining the electricity consumption environment characteristics of the terminal in each electricity consumption cycle. The electricity consumption environment characteristics and consumption ratio for each electricity consumption cycle are recorded as sample data. An initial model is established based on a neural network. The sample data is input into the initial model to train the initial model and obtain a prediction model. Real-time acquisition of weather data for the next electricity consumption cycle, recorded as predicted weather data, input of the predicted weather data into the prediction model to obtain the proportion of electricity consumption of the terminal in the next electricity consumption cycle; In a preferred embodiment of the present invention, the process of determining the branch current ratio of the terminal includes obtaining the total current of the new energy power generation terminal, denoted as I, and then determining the branch current ratio I of the terminal. bc =I×P; In a preferred embodiment of the present invention, the process of establishing the branch point includes: Obtain the geographical data of the power distribution area, and establish a geographical model of the power distribution area based on the geographical data; mark the locations of each terminal and new energy power generation terminal on the geographical model, and determine the possible areas for branch points, wherein the possible areas are areas that meet the conditions for establishing branch points; The buildable area is divided into rectangular grids to obtain rectangular grids. All intersections of the rectangular grids are recorded as buildable points. The power distribution transmission lines when the branch point is established at the buildable point are obtained. The total line consumption of the power distribution transmission lines is obtained and recorded as the total line consumption of the buildable point. The buildable point with the minimum total line consumption is selected and recorded as the optimal buildable point. The branch point is established at the optimal buildable point. Specifically, in the branch point establishment process, a high-precision GIS geographic information system for the power distribution area is first used to collect geographic data such as terrain, buildings, and existing power lines. A geographic model of the power distribution area is then constructed using 3D modeling software to accurately present the spatial layout. The precise coordinates of the terminals and new energy power generation terminals are marked on the model. Combined with power regulations and on-site surveys, feasible areas that meet the requirements of land use, geological conditions, and safe distance from surrounding facilities are selected. When dividing the feasible areas into rectangular grids, a reasonable grid size of 50×50 meters is set according to the area area and accuracy requirements, generating grids and intersections as feasible points. For each feasible point, power system simulation software is used to simulate the power transmission lines from the new energy power generation terminal and each terminal to that point, calculating the power loss and energy loss during transmission, and accumulating them to obtain the total line consumption. Considering the growth of terminal electricity consumption and the expansion plan of new energy power generation over the next 5 to 10 years, the long-term adaptability of the feasible points is evaluated. Finally, the best feasible point with the minimum total line consumption and meeting long-term development needs is selected, and a branch point with intelligent power distribution equipment is built at this point to ensure efficient power distribution and transmission. Step S2: Set up a current monitoring point between the new energy power generation terminal and the branch point; for any terminal, set up an elastic compensation point between the branch point and the terminal, and the elastic compensation point pre-stores an amount of electricity greater than a preset power threshold; The current monitoring point monitors the current data on the main transmission line in real time, generates a compensation signal, and transmits the compensation signal to the elastic compensation point. The main transmission line is the transmission line between the new energy power generation end and the branch point. Specifically, taking into account the distribution network topology and actual operation and maintenance needs, current monitoring points are reasonably set at the outlet of new energy power generation and the inlet of branch points. High-precision, wide-range intelligent current sensors are selected, and data such as three-phase current and harmonic current of the main transmission line are collected in real time and at high frequency with the help of industrial-grade communication bus. For each terminal, flexible compensation points are configured between the branch point outgoing line side and the terminal incoming line side according to its importance level and power consumption characteristics. The elastic compensation point has a built-in energy storage unit with an appropriate capacity. The energy storage unit is based on a lithium iron phosphate battery pack and combined with a supercapacitor to cope with instantaneous impacts. The elastic compensation point is precisely controlled by the BMS. The pre-stored power is dynamically set and adjusted in real time based on the terminal's historical maximum load gap, the maximum fluctuation of new energy power generation, and the energy storage charging and discharging efficiency, through a power load prediction algorithm, to ensure that the pre-stored power is always greater than the preset power threshold, reserving sufficient redundancy for compensation actions. The current monitoring point analyzes the main transmission line current data in real time, uses wavelet analysis, Fourier transform and other algorithms to identify abnormal current fluctuations, and generates a compensation signal containing the fluctuation amplitude, phase and duration. Through a low-latency communication protocol, it is transmitted to the corresponding elastic compensation point in milliseconds, allowing the compensation point to predict in advance and respond quickly, thus building a solid defense for the stable connection of power between the main transmission line and the branch transmission line. In a preferred embodiment of the present invention, the process of pre-storing a preset energy threshold at the elastic compensation point includes: The historical power generation data of the new energy power generation terminal is obtained, including the power generation power of the new energy power generation terminal at each time point within the electricity consumption cycle; based on the historical power generation data, each time stamp and its corresponding power generation power are fitted to generate the power change curve of the new energy power generation terminal. Obtain the minimum point on the power change curve, and obtain the two zero points adjacent to the minimum point. Determine the horizontal distance between the two zero points, denoted as the trough duration. Obtain the minimum point with the smallest vertical coordinate value, denoted as the trough point. Determine the maximum trough duration on the power change curve, denoted as the longest trough duration. Then, obtain the preset energy threshold W. t =P min ×T, where P min is the ordinate value corresponding to the trough point, and T is the longest trough duration; Specifically, relying on the power distribution area energy management platform, historical power generation data of at least one year from the new energy power generation terminal is retrieved, covering power generation records under different seasons, weather, and time periods. Operational time series analysis and machine learning algorithms are used to fit each timestamp and its corresponding power generation, considering factors such as solar radiation intensity, wind speed changes, and equipment aging, to generate a realistic power change curve for the new energy power generation terminal with dynamic correction capabilities, accurately depicting the power fluctuation pattern. Based on the power change curve, an extreme value search algorithm is used to identify trough points. Combined with curve zero-point detection technology, two zero points adjacent to the minimum point are located, and the time difference between the horizontal coordinates of the zero points is calculated to obtain the trough duration. The trough point with the smallest vertical coordinate is selected, representing the lowest power generation state, and the maximum value among all trough durations is selected, representing the most severe condition where the new energy power generation remains low for the longest period. Based on the technical objective of ensuring stable power supply to the terminal and avoiding power shortages caused by insufficient new energy power generation, the elastic compensation point is pre-stored with sufficient energy. Even when new energy power generation falls into the longest trough period, it can still continuously supplement the terminal with power, maintaining power supply continuity and adapting to the fluctuation characteristics of distributed energy and the stable power demand of the terminal. In a preferred embodiment of the present invention, the current data is the real-time current on the main transmission line; In a preferred embodiment of the present invention, the compensation signal carries compensation information, and the process of generating the compensation information includes: Set the reference current value range [I] min I max Based on the current data, the timestamp when the current value of the main transmission line does not fall within the range of the reference current value is obtained in real time and recorded as the fluctuation timestamp; the transmission distance between the branch point and the elastic compensation point on the transmission line is obtained, and the transmission time required for the current to travel the transmission distance is obtained to obtain the compensation timestamp T. c =T w +time, where T w The timestamp is a fluctuating value, where time represents the transmission time. Obtain the current value of the main transmission line at the fluctuation timestamp, and obtain the compensation value corresponding to the fluctuation timestamp based on the reference current value range. , where I´ is the current value of the main transmission line; the fluctuation timestamp of the main transmission line and the corresponding compensation value are obtained in real time to obtain compensation information; It is worth noting that the present invention assumes that the communication transmission time between the branch point and the terminal is less than the transmission time on the transmission line; Step S3: The elastic compensation point obtains compensation information based on the compensation signal; the elastic compensation point inputs compensation current to the branch transmission line based on the compensation information and through the pre-stored power, wherein the branch transmission line is the transmission line between the branch point and the terminal; Specifically, the elastic compensation point receives compensation signals from the current monitoring point and accurately extracts key compensation information such as current fluctuation amplitude, phase difference, and duration from the compensation signal through the built-in signal analysis module. Combining the terminal load characteristic database pre-stored locally by the elastic compensation point with the real-time remaining power and charging / discharging efficiency of the energy storage unit, multi-dimensional collaborative calculations are performed through intelligent power control algorithms. The terminal load characteristic database includes the current demand benchmarks of each terminal under different types of operating conditions. In a preferred embodiment of the present invention, the process of the elastic compensation point inputting compensation current to the branch transmission line includes: For any fluctuation timestamp, if the compensation value Cv corresponding to the fluctuation timestamp is less than 0, then the phase and amplitude of the current in the branch transmission line are obtained. Based on the phase and amplitude, a DC current with a current value of |Cv| is obtained from the pre-stored power, and the DC current is converted into AC current based on the power electronic conversion device to obtain the compensation current. In a preferred embodiment of the present invention, if the compensation value Cv corresponding to the fluctuation timestamp is greater than 0, a sub-current with a current value of |Cv| is separated from the current in the branch transmission line, and the sub-current is converted into DC current based on the power electronic conversion device and stored in the elastic compensation point. It should be noted that the power electronic conversion device includes a control energy storage converter. After the elastic compensation point receives the compensation signal from the current monitoring point, the power electronic conversion device quickly switches the working mode. If it is necessary to supplement active current, the lithium iron phosphate battery pack releases stable DC power, which is then inverted by the power electronic conversion device into AC power that is in phase and frequency with the branch transmission line voltage. If reactive current compensation is required, the instantaneous reactive power support capability of the supercapacitor is activated, or the energy storage unit outputs a specific phase of current. During the process of injecting compensation current into the branch transmission line, a real-time closed-loop feedback is constructed based on the micro smart meters and voltage and current sensors on the branch line to continuously monitor the power quality parameters on the terminal side and dynamically adjust the magnitude and phase of the compensation current. This ensures that the current gap caused by the fluctuation of the main transmission line is not filled, and that no new power quality problems are caused by overcompensation. This achieves precise protection of the stability and reliability of the terminal power supply under the access of distributed energy, and efficiently coordinates the scheduling of new energy and energy storage resources to help the distribution network save energy, reduce losses, and operate flexibly.

[0018] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the present invention should still fall within the scope of the invention.

Claims

1. A distributed energy collaborative scheduling method for an energy-saving ring network box, characterized in that, Includes the following steps: Step S1: Obtain all terminals and new energy generation terminals within the power distribution area, determine the power consumption ratio of each terminal, and determine the branch current ratio of the terminal based on the power consumption ratio. Establish branch points, and based on the branch current ratio of each terminal, distribute the electrical energy generated by the new energy power generation terminal to each terminal. Step S2: Set up a current monitoring point between the new energy power generation terminal and the branch point; For any terminal, an elastic compensation point is set between the branch point and the terminal, and the elastic compensation point pre-stores an amount of electricity greater than a preset power threshold. The current monitoring point monitors the current data on the main transmission line in real time, generates a compensation signal, and transmits the compensation signal to the elastic compensation point. The main transmission line is the transmission line between the new energy power generation end and the branch point. Step S3: The elastic compensation point obtains compensation information based on the compensation signal; the elastic compensation point inputs compensation current to the branch transmission line based on the compensation information and the pre-stored power, wherein the branch transmission line is the transmission line between the branch point and the terminal.

2. The distributed energy collaborative scheduling method for an energy-saving ring network box according to claim 1, characterized in that, In step S1, the process of determining the proportion of power consumption of the terminal includes: Historical electricity consumption data is obtained, including weather data of the power distribution area, total power consumption, and power consumption of the terminal in each power consumption cycle; the weather data includes temperature, light intensity, and wind speed, and the duration of the power consumption cycle is set within the range of [1, 7] days; based on the historical electricity consumption data, the consumption ratio of the terminal in each power consumption cycle is obtained as P = q / Q × 100%, where q is the power consumption of the terminal in the power consumption cycle, and Q is the power consumption of the power distribution area; Based on weather data for each electricity consumption cycle, the electricity consumption environment characteristics for each electricity consumption cycle are obtained, thus obtaining the electricity consumption environment characteristics of the terminal in each electricity consumption cycle. The electricity consumption environment characteristics and consumption ratio for each electricity consumption cycle are recorded as sample data. An initial model is established based on a neural network. The sample data is input into the initial model to train the initial model and obtain a prediction model. Real-time weather data for the next electricity consumption cycle is acquired and recorded as predicted weather data. The predicted weather data is then input into the prediction model to obtain the percentage of electricity consumption of the terminal in the next electricity consumption cycle.

3. The distributed energy collaborative scheduling method for an energy-saving ring network box according to claim 1, characterized in that, In step S1, the process of determining the branch current ratio of the terminal includes obtaining the total current of the new energy power generation terminal, denoted as I, and then determining the branch current ratio I of the terminal. bc =I×P.

4. The distributed energy collaborative scheduling method for an energy-saving ring network box according to claim 1, characterized in that, In step S1, the process of establishing the branch point includes: Obtain the geographical data of the power distribution area, and establish a geographical model of the power distribution area based on the geographical data; mark the locations of each terminal and new energy power generation terminal on the geographical model, and determine the possible areas for branch points, wherein the possible areas are areas that meet the conditions for establishing branch points; The buildable area is divided into rectangular grids to obtain rectangular grids. All intersections of the rectangular grids are recorded as buildable points. The power distribution transmission lines when the branch point is established at the buildable point are obtained, and the total line consumption of the power distribution transmission lines is obtained and recorded as the total line consumption of the buildable point. The buildable point with the minimum total line consumption is selected and recorded as the optimal buildable point. The branch point is established at the optimal buildable point.

5. The distributed energy collaborative scheduling method for an energy-saving ring network box according to claim 1, characterized in that, In step S2, the process of pre-storing a preset energy threshold at the elastic compensation point includes: The historical power generation data of the new energy power generation terminal is obtained, including the power generation power of the new energy power generation terminal at each time point within the electricity consumption cycle; based on the historical power generation data, each time stamp and its corresponding power generation power are fitted to generate the power change curve of the new energy power generation terminal. Obtain the minimum point on the power change curve, and obtain the two zero points adjacent to the minimum point. Determine the horizontal distance between the two zero points, denoted as the trough duration. Obtain the minimum point with the smallest vertical coordinate value, denoted as the trough point. Determine the maximum trough duration on the power change curve, denoted as the longest trough duration. Then, obtain the preset energy threshold W. t =P min ×T, where P min is the ordinate value corresponding to the trough point, and T is the duration of the longest trough.

6. The distributed energy collaborative scheduling method for an energy-saving ring network box according to claim 1, characterized in that, In step S2, the compensation signal carries compensation information, and the process of generating the compensation information includes: Set the reference current value range [I] min I max Based on the current data, the timestamp when the current value of the main transmission line does not fall within the range of the reference current value is obtained in real time and recorded as the fluctuation timestamp; the transmission distance between the branch point and the elastic compensation point on the transmission line is obtained, and the transmission time required for the current to travel the transmission distance is obtained to obtain the compensation timestamp T. c =T w +time, where T w The timestamp is a fluctuating value, where time represents the transmission time. Obtain the current value of the main transmission line at the fluctuation timestamp, and obtain the compensation value corresponding to the fluctuation timestamp based on the reference current value range. Where I´ is the current value of the main transmission line; the fluctuation timestamp of the main transmission line and the corresponding compensation value are obtained in real time to obtain compensation information.

7. The distributed energy collaborative scheduling method for an energy-saving ring network box according to claim 1, characterized in that, In step S3, the process of the elastic compensation point inputting compensation current to the branch transmission line includes: For any fluctuation timestamp, if the compensation value Cv corresponding to the fluctuation timestamp is less than 0, then the phase and amplitude of the current in the branch transmission line are obtained. Based on the phase and amplitude, a DC current with a current value of |Cv| is obtained from the pre-stored electrical quantity, and the DC current is converted into AC current based on the power electronic conversion device to obtain the compensation current.

8. A distributed energy collaborative dispatching system for an energy-saving ring network box, characterized in that, include: Dispatch module: Obtain all terminals and new energy generation terminals within the power distribution area, determine the power consumption ratio of each terminal, and determine the branch current ratio of the terminal based on the power consumption ratio; Establish branch points, and based on the branch current ratio of each terminal, distribute the electrical energy generated by the new energy power generation terminal to each terminal. Flexible compensation module: A current monitoring point is set between the new energy power generation terminal and the branch point; For any terminal, an elastic compensation point is set between the branch point and the terminal, and the elastic compensation point pre-stores an amount of electricity greater than a preset power threshold. The current monitoring point monitors the current data on the main transmission line in real time, generates a compensation signal, and transmits the compensation signal to the elastic compensation point. The main transmission line is the transmission line between the new energy power generation end and the branch point. The elastic compensation point obtains compensation information based on the compensation signal; The elastic compensation point inputs a compensation current to the branch transmission line based on the compensation information and the pre-stored power, and the branch transmission line is the transmission line between the branch point and the terminal.

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