A new energy grid access setting management system and method

Abstract

The present invention relates to the field of setting management technology, and more specifically to a setting management system and method for connecting new energy to the power grid. The method comprises: step S1: constructing a twin model based on the layout diagram of the first power grid; step S2: training the i-th calculation model corresponding to the i-th line based on the real-time operating parameters and historical operating parameters of the new energy and the real-time operating parameters and historical operating parameters of the i-th line; step S3: comparing the load energy consumption value corresponding to the i-th line with the energy consumption rated value to obtain a first comparison result, and predicting the trend of the load energy consumption value based on the rate of change of the load energy consumption value corresponding to the i-th line; step S4: when the energy consumption value of at least one load in the i-th line changes from the rated value, determining the optimal reactive power value of the new energy power supply signal, and adjusting the reactive power of the new energy power supply signal. The present invention solves the problem of energy loss when new energy is connected to the grid.

Description

Technical Field

[0001] The present invention relates to the field of setting management technology, and more particularly to a setting management system and method for connecting new energy to a power grid. Background Art

[0002] In recent years, with the emergence of ecological and environmental issues and the massive consumption of energy resources, the advantages of renewable energy generation technologies have gradually become apparent, particularly photovoltaic and wind power generation. The market capacity of the renewable energy generation industry has also shown an annual growth trend. During renewable energy generation, the actual output power is affected by factors such as sunlight and wind power, which affect the operation of the distribution network. Furthermore, with the integration of renewable energy, the topology and power flow distribution within the distribution system also change. Furthermore, the integration of renewable energy causes voltage fluctuations across the entire power supply network and increases the reactive power of loads and power lines. For example, Chinese patent CN103580030B, a grid-connected photovoltaic power station reactive voltage control method and system, adopts a three-layer reactive power control strategy for photovoltaic power stations. This strategy coordinates the reactive output between the reactive compensation device and the photovoltaic power generation units, as well as between the inverters of individual photovoltaic power generation units. Under this control strategy, reactive voltage support is provided to the grid, allowing the photovoltaic power station to more effectively regulate the grid voltage. Combined with the photovoltaic array power reduction operation strategy, this ensures stable grid operation while maintaining a certain reactive output capacity of the photovoltaic power station. The problem of over-limit voltage at the grid connection point caused by the access of large-scale photovoltaic power stations to the grid has been solved. Another example is Chinese patent CN113489070A, a method and system for intelligent optimization of flexible direct current parameters for new energy grid connection, including: determining the key parameters of the large-scale new energy island connected to the flexible direct current system; real-time collection of the instantaneous active power and reactive power at the grid connection point of the large-scale new energy island connected to the flexible direct current system, extracting characteristic components based on the instantaneous active power and reactive power; adjusting the key parameters of the intelligent optimization algorithm according to the system operating conditions, and judging whether the system meets the input conditions of the intelligent optimization algorithm based on the characteristic components; if so, the proportional parameters of the proportional-integral controller of the outer loop of the flexible direct current island converter station are dynamically adjusted using the intelligent optimization method according to the system operating conditions, until the characteristic components meet the exit conditions of the intelligent optimization algorithm, thereby achieving system stability. The present invention can monitor the system operating status in real time. Although both of the above two technical solutions provide adaptive overcurrent protection, they do not further optimize the operation of the power grid by reducing the loss of useless power. At the same time, since the real-time power of the load is affected by environmental factors and power input, the real-time energy consumption value of the load cannot be accurately calculated through theoretical values. It is also impossible to accurately adjust the reactive power of the renewable energy power signal entering the grid based on the accurate real-time load energy consumption value to optimize the power grid. Summary of the Invention

[0003] In order to better solve the above problems, the present invention provides a method for managing the setting of new energy access to the power grid, characterized in that the method comprises the following steps:

[0004] Step S1: Building a twin model of the first power grid based on all power grid lines corresponding to the first power grid after the new energy power signal is connected to the power grid, the location where the new energy power signal is connected, and the input layout diagram of the first power grid, and updating the real-time operating parameters of each power grid line to the twin model and visualizing them;

[0005] Step S2: training an i-th calculation model corresponding to the i-th line based on the real-time operating parameters and historical operating parameters of the new energy source and the real-time operating parameters and historical operating parameters of the i-th line in the first power grid, where the value of i is a positive integer greater than or equal to 1 and less than or equal to N, where N is the total number of lines in the first power grid;

[0006] Step S3: Comparing the load energy consumption value corresponding to the i-th line with the energy consumption rating corresponding to the i-th line to obtain a first comparison result, and predicting a trend of the load energy consumption value of the i-th line based on a rate of change of the load energy consumption value corresponding to the i-th line; and training the i-th calculation model based on the first comparison result;

[0007] Step S4: When the energy consumption value of at least one load in the i-th line changes from the rated value, a warning message is displayed at the position of the load in the i-th line in the twin model, and at the same time, the optimal reactive power value of the new energy power signal is determined, and the reactive power of the new energy power signal is adjusted in real time to reduce the difference between the reactive power of the new energy power signal and the optimal reactive power until the difference is minimized;

[0008] Step S5: After the reactive power of the new energy power signal is adjusted, the real-time operating parameters of the i-th line are recollected, and the i-th calculation model is retrained to obtain more accurate real-time power.

[0009] As a more preferred technical solution of the present invention, in step S1, constructing the twin model of the power grid includes the following steps:

[0010] Step S11: collecting real-time data on circuit parameters of the first power grid, and also obtaining location information of each power grid line in the first power grid and connection relationships of each power grid line;

[0011] Step S12: Construct a twin model based on the real-time data of the parameters of each grid line of the first grid, the location of each grid line and the connection relationship between each line, wherein the twin model is a three-dimensional digital twin model.

[0012] As a more preferred technical solution of the present invention, in step S2, the real-time operating parameters of each line of the first power grid are visualized through the twin model, including: the real-time operating current value of each line, the rate of change of the real-time operating current value of each line, and the real-time operating power of the load in each line.

[0013] As a more preferred technical solution of the present invention, in step S3, when the first comparison result is less than the first threshold value, the real-time load energy consumption value corresponding to the i-th line is normal, and at the same time, the rate of change of the real-time load energy consumption value corresponding to the i-th line is calculated, and based on the rate of change, the predicted value of the first load energy consumption corresponding to the i-th line within a first preset time is calculated. When the predicted value of the first load energy consumption is greater than the rated load energy consumption value of the i-th line, the calculation frequency of the load energy consumption value of the i-th line by the i-th calculation model is increased. When the predicted value of the first load energy consumption corresponding to the i-th line is greater than the rated load energy consumption value of the i-th line within a second preset time, step S4 is executed; otherwise, the process is executed normally, wherein the first preset time is greater than the second preset time;

[0014] When the first comparison result is greater than the first threshold, if the real-time load energy consumption value corresponding to the i-th line is greater than the rated load energy consumption value of the i-th line, immediately execute step S4; if the real-time load energy consumption value corresponding to the i-th line is less than the rated load energy consumption value of the i-th line, find the j-th calculation model corresponding to the j-th line with the same electrical characteristics as the i-th calculation model corresponding to the i-th line, calculate the real-time load energy consumption value corresponding to the i-th line based on the j-th model, add the historical operation data of the j-th line to the historical operation data of the i-th line, and re-train the i-th calculation model.

[0015] As a more preferred technical solution of the present invention, in step S4, the real-time load energy consumption value of the i-th line is not calculated during the process of adjusting the reactive power of the new energy power supply signal, and the real-time load energy consumption value of the i-th line is calculated after the real-time current, real-time voltage and real-time power of the i-th line reach a stable state.

[0016] As a more preferred technical solution of the present invention, the stable state includes the real-time current, real-time voltage or real-time load energy consumption value having a change rate less than or equal to a set value within a set time, wherein different reference parameters have different setting values, and the reference parameters include real-time current, real-time voltage or real-time load energy consumption value.

[0017] As a more preferred technical solution of the present invention, the new energy power supply signal includes an active power supply signal and a reactive power supply signal.

[0018] The present invention also provides a new energy grid access setting management system for implementing the above-mentioned new energy grid access setting management method, the system comprising:

[0019] A controller for outputting control information of a new power supply signal;

[0020] a power regulator, configured to adjust the output of the new energy power signal according to the control information, determine an optimal reactive power value of the new energy power signal when the energy consumption value of at least one load in the i-th line changes from a rated value, and reduce a difference between the reactive power of the new energy power signal and the optimal reactive power by adjusting the reactive power of the new energy power signal in real time until the difference is minimized;

[0021] A construction unit, configured to construct a twin model of the power grid based on all grid line information corresponding to the first power grid after the new energy source is connected to the power grid and the location information of the new energy source connected, and update the real-time operating parameters of each grid line to the twin model;

[0022] an acquiring unit, configured to acquire real-time parameters of each line of the first power grid;

[0023] The training unit is configured to: train an i-th calculation model corresponding to the i-th line based on the real-time operating parameters of the new energy power supply signal and the real-time operating parameters and historical operating parameters of the i-th line in the first power grid, where the value range of i is a positive integer greater than or equal to 1 and less than or equal to N, and N is the total number of lines in the first power grid; further train the i-th calculation model based on the first comparison result; and after adjusting the reactive power of the new energy power supply signal, re-collect the real-time operating parameters of the i-th line and re-train the i-th calculation model to obtain more accurate real-time power;

[0024] a calculation unit, which compares the real-time load energy consumption value corresponding to the i-th line with the rated load energy consumption value corresponding to the i-th line to obtain a first comparison result, and predicts a trend of the load energy consumption value of the i-th line based on a rate of change of the load energy consumption value corresponding to the i-th line;

[0025] A display unit is provided, and the real-time operating parameters of the first power grid are visualized through the twin model. When the energy consumption value of at least one load in the i-th line changes from the rated value, an early warning message is displayed at the position of the load in the i-th line in the twin model.

[0026] Compared with the prior art, the beneficial effects of the present invention are at least as follows:

[0027] The present invention constructs a three-dimensional digital twin model based on the layout diagram of the first power grid and the connection relationship and position information of each power grid line, and collects the real-time operating parameters of each power grid line in real time and adds them to the corresponding position of the twin model, so that the working status and parameters of the entire power grid can be viewed intuitively and three-dimensionally. It also trains through the calculation model of each power grid line, and calculates the real-time load energy consumption value through the model, and compares the real-time load energy consumption value of the power grid line with the rated load energy consumption value. When the comparison result is small, the change trend of the real-time load energy consumption value is predicted according to the comparison result, and when the real-time energy consumption value is greater than the rated energy consumption value, the value of the reactive power of the new energy power supply signal is adjusted, and the real-time power of the power grid line is continued to be detected in real time after the above-mentioned power grid line is stabilized. When the comparison result is large and the real-time energy consumption value is When it is smaller, the real-time load energy consumption value of the power grid line is calculated using the calculation model of other power grid lines with the same electrical characteristics as the power grid line, and the calculation model of the power grid line is retrained using the historical operating parameters of other power grid lines and the operating parameters of the power grid, so that the calculation model corresponding to the power grid line is more accurate. When the real-time load energy consumption value is greater than the rated load energy consumption value, the warning information will be displayed at the corresponding position in the twin model. Through the above technical solution, the real-time load energy consumption value of the first power grid can be calculated more accurately. Through the above technical solution, the real-time load energy consumption value of the first power grid can be calculated more accurately, so that the first power grid controller can adjust the new energy power signal based on the real-time load energy consumption value, and optimize the power grid performance by more effectively offsetting the reactive power of the load through the power regulator. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is a flow chart of a new energy grid connection setting management method according to the present invention;

[0029] Figure 2 This is a structural diagram of a new energy grid access setting management system according to the present invention. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0031] The present invention provides a method for managing the connection of new energy to the power grid. Figure 1 As shown, the method includes the following steps:

[0032] Step S1: Based on all grid lines corresponding to the first grid after the new energy power signal is connected to the grid, the location where the new energy power signal is connected, and the input layout diagram of the first grid, a twin model of the first grid is constructed, and the real-time operating parameters of each grid line are updated to the twin model and visualized; specifically, by constructing the twin model of the above-mentioned first grid, each line of the above-mentioned first grid and the load on the line correspond to the virtual objects in the twin model, and the real-time operating parameters of each grid line measured are updated to the twin model through the communication unit in the first grid, and the corresponding position of each grid line is displayed in the twin model to realize the visualization of each grid line of the first grid;

[0033] Step S2: training an i-th calculation model corresponding to the i-th line based on the real-time operating parameters of the new energy power signal and the real-time operating parameters and historical operating parameters of the i-th line in the first power grid, wherein the value range of i is a positive integer greater than or equal to 1 and less than or equal to N, and N is the total number of lines in the first power grid; specifically, the above-mentioned real-time operating parameters and historical operating parameters include the power, current and voltage of the i-th line, wherein the real-time parameters of the above-mentioned new energy signal correspond to the real-time operating parameters and historical operating parameters of the above-mentioned i-th line in time sequence, and the above-mentioned i-th current calculation model reflects the relationship between the above-mentioned new energy input parameters and the operating parameters of the i-th line. Therefore, the real-time load energy consumption value of the i-th line can be calculated by the above-mentioned i-th calculation model. Since the access of the new energy energy signal will cause the voltage of the original power grid line and the load end to fluctuate, thereby causing the energy consumption value of the load on the power grid to change, once the rated load energy consumption value is exceeded, it may cause damage to the load equipment. Therefore, a more accurate real-time load energy consumption value can be obtained through the training of the calculation model.

[0034] Step S3: Compare the real-time load energy consumption value corresponding to the i-th line with the rated load energy consumption value corresponding to the i-th line to obtain a first comparison result, and predict the trend of the load energy consumption value of the i-th line based on the rate of change of the load energy consumption value corresponding to the i-th line; and train the i-th calculation model based on the first comparison result. Specifically, based on the above-mentioned first comparison result, the relationship between the real-time load energy consumption value and the rated value corresponding to the i-th line can be obtained, and the load energy consumption value of the i-th line within the first preset time and the second preset time can be predicted, and the calculation frequency is adjusted according to the above-mentioned energy consumption value. At the same time, according to the above-mentioned first comparison result, a j-th line with the same electrical characteristics is searched, and the load energy consumption value of the i-th line is calculated using the j-th calculation model. The i-th calculation model is also trained based on the historical data of the j-th line.

[0035] Step S4: When the energy consumption value of at least one load in the i-th line changes from the rated value, a warning message is displayed at the position of the load in the i-th line in the twin model, and the optimal reactive power value of the new energy power signal is determined. By adjusting the reactive power of the new energy power signal in real time, the difference between the reactive power of the new energy power signal and the optimal reactive power is reduced until the difference is minimized. The optimal reactive power refers to the reactive power of the new energy power signal corresponding to the highest power utilization rate when the load is operating normally;

[0036] Specifically, when the energy consumption value of at least one load in the i-th line changes from a rated value, the reactive power of the new energy power supply signal is adjusted in real time. When the energy consumption value of the load is greater than the upper limit of the rated value, the load increases the loss of the new energy, and the change in the reactive power of the new energy power supply signal is negative.

[0037] Step S5: After the reactive power of the new energy power signal is adjusted, the real-time operating parameters of the i-th line are recollected, and the i-th calculation model is retrained to obtain more accurate real-time power. Specifically, after the reactive power of the new energy power signal is adjusted, the electrical parameters of the i-th line are changed, and thus the energy consumption of the load in the i-th line is also changed. Therefore, the original i-th calculation model is no longer applicable to the current line. Therefore, it is necessary to recollect the line operating parameters and retrain the i-th calculation model.

[0038] Furthermore, in step S1, constructing the twin model of the power grid includes the following steps:

[0039] Step S11: acquiring location information of each grid line in the first grid and connection relationships of each grid line according to the input layout diagram of the first grid;

[0040] Step S12: Collect the real-time operating parameters of each line of the first power grid, and construct a twin model based on the real-time operating parameters of each grid line of the first power grid, the position of each grid line and the connection relationship between the each line. The twin model is a three-dimensional digital twin model.

[0041] Specifically, the twin model can intuitively and stereoscopically display the location, real-time operating status and real-time operating parameters of each grid line of the power grid in three-dimensional space to realize the visualization of the first power grid.

[0042] Furthermore, in step S2, the real-time operating parameters of each line of the first power grid are visualized through the twin model, including: the real-time operating current value of each line, the rate of change of the real-time operating current value of each line, and the real-time operating power of the load in each line.

[0043] Furthermore, in step S3, when the first comparison result is less than the first threshold value, the real-time load energy consumption value corresponding to the i-th line is normal, and at the same time, the rate of change of the real-time load energy consumption value corresponding to the i-th line is calculated, and based on the rate of change, the predicted value of the first load energy consumption corresponding to the i-th line within the first preset time is calculated. When the predicted value of the first load energy consumption is greater than the rated value of the load energy consumption of the i-th line, the calculation frequency of the load energy consumption value of the i-th line by the i-th calculation model is increased. Within the second preset time, the predicted value of the first load energy consumption corresponding to the i-th line is calculated. When the value is greater than the rated load energy consumption value of the i-th line and the difference between the two is greater than the second threshold, step S4 is executed; otherwise, the process is executed normally, wherein the first preset time is greater than the second preset time; specifically, when the first comparison result is less than the first threshold, since the real-time load energy consumption value is close to the rated value, in order to quickly adjust the new energy power supply signal to reduce the load energy consumption value when the real-time load energy consumption value is greater than the rated value, it is necessary to predict the load energy consumption value within the first preset time, and when the predicted value is greater than the rated value, increase the calculation frequency so as to quickly obtain the change trend and change amount of the load energy consumption value;

[0044] When the first comparison result is greater than the first threshold, if the real-time load energy consumption value corresponding to the i-th line is greater than the rated load energy consumption value of the i-th line, immediately execute step S4; if the real-time load energy consumption value corresponding to the i-th line is less than the rated load energy consumption value of the i-th line, find the j-th calculation model corresponding to the j-th line with the same electrical characteristics as the i-th calculation model corresponding to the i-th line, calculate the real-time load energy consumption value corresponding to the i-th line based on the j-th model, add the historical operation data of the j-th line to the historical operation data of the i-th line, and re-train the i-th calculation model.

[0045] Specifically, when the first comparison result is greater than the first threshold, the difference between the real-time load energy consumption value and the rated value is large. When the real-time load energy consumption value is greater than the rated value, step S4 needs to be executed immediately to reduce the load energy consumption value to protect the safe operation of the load equipment and reduce energy loss. When the real-time load energy consumption value is less than the rated value, due to the large difference, the load energy consumption value calculated at this time may be incorrect. Therefore, the j-th calculation model corresponding to the j-th circuit with the same electrical characteristics as the i-th circuit is found to recalculate the real-time load energy consumption value of the i-th circuit. When the difference between the calculated energy consumption value of the i-th circuit and the rated value is less than the third threshold, the j-th calculation model is more accurate than the i-th calculation model. The historical data of the j-th model and the historical data of the i-th circuit are used to retrain the i-th calculation model to obtain a more accurate calculation result.

[0046] Furthermore, in step S4, the real-time load energy consumption value of the i-th line is not calculated during the adjustment of the reactive power signal of the new energy power signal, and the real-time load energy consumption value of the i-th line is calculated after the real-time current, real-time voltage and real-time power of the i-th line reach a stable state;

[0047] Specifically, the real-time load energy consumption value of the above-mentioned i-th line is calculated after the circuit reaches a steady state. The real-time load energy consumption value of the above-mentioned i-th line is not calculated during the process of adjusting the reactive power signal of the above-mentioned new energy power signal, and after the line reaches a steady state, the new energy power signal operates according to the last adjusted signal until the load energy consumption value in the line is greater than the rated value again.

[0048] Furthermore, the stable state includes the real-time current, real-time voltage or real-time load energy consumption value having a change rate less than or equal to a set value within a set time, wherein different reference parameters have different setting values, and the reference parameters include real-time current, real-time voltage or real-time load energy consumption value.

[0049] Furthermore, the new energy power supply signal includes an active power supply signal and a reactive power supply signal.

[0050] The present invention also provides a new energy grid access setting management system, which is used to implement the above-mentioned new energy grid access setting management method, such as Figure 2 As shown, the system includes:

[0051] A controller for outputting control information of a new power supply signal;

[0052] a power regulator, configured to adjust the output of the new energy power signal according to the control information, determine an optimal reactive power value of the new energy power signal when the energy consumption value of at least one load in the i-th line changes from a rated value, and reduce a difference between the reactive power of the new energy power signal and the optimal reactive power by adjusting the reactive power of the new energy power signal in real time until the difference is minimized;

[0053] A construction unit, configured to construct a twin model of the power grid based on all grid line information corresponding to the first power grid after the new energy source is connected to the power grid and the location information of the new energy source connected, and update the real-time operating parameters of each grid line to the twin model;

[0054] an acquiring unit, configured to acquire real-time parameters of each line of the first power grid;

[0055] The training unit is configured to: train an i-th calculation model corresponding to the i-th line based on the real-time operating parameters of the new energy power supply signal and the real-time operating parameters and historical operating parameters of the i-th line in the first power grid, where the value range of i is a positive integer greater than or equal to 1 and less than or equal to N, and N is the total number of lines in the first power grid; further train the i-th calculation model based on the first comparison result; and after adjusting the reactive power of the new energy power supply signal, re-collect the real-time operating parameters of the i-th line and re-train the i-th calculation model to obtain more accurate real-time power;

[0056] a calculation unit, which compares the real-time load energy consumption value corresponding to the i-th line with the rated load energy consumption value corresponding to the i-th line to obtain a first comparison result, and predicts a trend of the load energy consumption value of the i-th line based on a rate of change of the load energy consumption value corresponding to the i-th line;

[0057] A display unit is provided, and the real-time operating parameters of the first power grid are visualized through the twin model. When the energy consumption value of at least one load in the i-th line changes from the rated value, an early warning message is displayed at the position of the load in the i-th line in the twin model.

[0058] It should be noted that when the first comparison result is greater than the first threshold, if the real-time load energy consumption value corresponding to the i-th line is greater than the rated load energy consumption value of the i-th line, step S4 is immediately executed; if the real-time load energy consumption value corresponding to the i-th line is less than the rated load energy consumption value of the i-th line, the j-th calculation model corresponding to the j-th line with the same electrical characteristics as the i-th calculation model corresponding to the i-th line is found, the real-time load energy consumption value corresponding to the i-th line is calculated based on the j-th model, and the historical operation data of the j-th line is added to the historical operation data of the i-th line to re-train the i-th calculation model; when the energy consumption value of at least one load in the i-th line changes from the rated value, a warning message is displayed at the position of the load in the i-th line in the twin model, and the optimal reactive power value of the new energy power signal is determined. By adjusting the reactive power of the new energy power signal in real time, the difference between the reactive power of the new energy power signal and the optimal reactive power is reduced until the difference is minimized.

[0059] In summary, the present invention constructs a three-dimensional digital twin model based on the layout diagram of the first power grid and the connection relationship and position information of each power grid line, and collects the real-time operating parameters of each power grid line in real time and adds them to the corresponding position of the twin model, so that the working status and parameters of the entire power grid can be viewed intuitively and three-dimensionally. It also trains through the calculation model of each power grid line, and calculates the real-time load energy consumption value through the model, and compares the real-time load energy consumption value of the power grid line with the rated load energy consumption value. When the comparison result is small, the change trend of the real-time load energy consumption value is predicted according to the comparison result, and when the real-time energy consumption value is greater than the rated energy consumption value, the reactive power value of the new energy power supply signal is adjusted, and the real-time detection of the power grid line is continued after the above-mentioned power grid line is stabilized. Power. When the comparison result is large and the real-time energy consumption value is small, the calculation model of other power grid lines with the same electrical characteristics as the power grid line is used to calculate the real-time load energy consumption value of the power grid line, and the historical operating parameters of other power grid lines and the operating parameters of the power grid are used to retrain the calculation model of the power grid line, so that the calculation model corresponding to the power grid line is more accurate. When the real-time load energy consumption value is greater than the rated load energy consumption value, the early warning information will be displayed at the corresponding position in the twin model. Through the above technical solution, the real-time load energy consumption value of the first power grid can be calculated more accurately, so that the first power grid controller can adjust the new energy power supply signal based on the real-time load energy consumption value, and optimize the power grid performance by more effectively offsetting the reactive power of the load through the power regulator.

[0060] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0061] The above embodiments merely represent several implementation methods of the present invention, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art may make various modifications and improvements without departing from the scope of the present invention, and these modifications and improvements fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be based on the appended claims.

[0062] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for managing the connection of new energy to the power grid, characterized in that: A power regulator is provided at each new energy source access point. The method comprises the following steps: Step S1: Building a twin model of the first power grid based on all power grid lines corresponding to the first power grid after the new energy power signal is connected to the power grid, the location where the new energy power signal is connected, and the input layout diagram of the first power grid, and updating the real-time operating parameters of each power grid line to the twin model and visualizing them; Step S2: training an i-th calculation model corresponding to the i-th line based on the real-time operating parameters of the new energy power source signal and the real-time operating parameters and historical operating parameters of the i-th line in the first power grid, where the value range of i is a positive integer greater than or equal to 1 and less than or equal to N, where N is the total number of lines in the first power grid; Step S3: Comparing the real-time load energy consumption value corresponding to the i-th line with the rated load energy consumption value corresponding to the i-th line to obtain a first comparison result, and predicting a trend of the load energy consumption value of the i-th line based on a rate of change of the load energy consumption value corresponding to the i-th line; and training the i-th calculation model based on the first comparison result; Step S4: When the energy consumption value of at least one load in the i-th line changes from the rated value, a warning message is displayed at the position of the load in the i-th line in the twin model, and new energy power supply signal control information is generated based on the change, and the optimal reactive power value of the new energy power supply signal is determined. The reactive power of the new energy power supply signal is adjusted in real time based on the control information to reduce the difference between the reactive power of the new energy power supply signal and the optimal reactive power until the difference is minimized; Step S5: After the reactive power of the new energy power signal is adjusted, the real-time operating parameters of the i-th line are recollected, and the i-th calculation model is retrained to obtain a more accurate real-time energy consumption value.

2. A method for managing the connection of new energy to the power grid according to claim 1, characterized in that: In step S1, constructing the twin model of the power grid includes the following steps: Step S11: collecting real-time data on circuit parameters of the first power grid, and also obtaining location information of each power grid line in the first power grid and connection relationships of each power grid line; Step S12: Construct a twin model based on the real-time data of the parameters of each grid line of the first grid, the location of each grid line and the connection relationship between each line, wherein the twin model is a three-dimensional digital twin model.

3. A method for managing the connection of new energy to the power grid according to claim 1, characterized in that: In step S2, the real-time operating parameters of each line of the first power grid are visualized through the twin model, including: the real-time operating current value of each line, the change rate of the real-time operating current value of each line, and the real-time operating power of the load in each line.

4. A method for managing the connection of new energy to the power grid according to claim 1, characterized in that: In step S3, when the first comparison result is less than a first threshold value, the real-time load energy consumption value corresponding to the i-th line is normal, and at the same time, the rate of change of the real-time load energy consumption value corresponding to the i-th line is calculated, and based on the rate of change, a predicted value of the first load energy consumption corresponding to the i-th line within a first preset time is calculated. When the predicted value of the first load energy consumption is greater than the rated load energy consumption value of the i-th line, the calculation frequency of the load energy consumption value of the i-th line by the i-th calculation model is increased. When the predicted value of the first load energy consumption corresponding to the i-th line is greater than the rated load energy consumption value of the i-th line within a second preset time and the difference between the two is greater than a second threshold value, step S4 is executed; otherwise, the process is executed normally, wherein the first preset time is greater than the second preset time; When the first comparison result is greater than the first threshold, if the real-time load energy consumption value corresponding to the i-th line is greater than the rated load energy consumption value of the i-th line, immediately execute step S4; if the real-time load energy consumption value corresponding to the i-th line is less than the rated load energy consumption value of the i-th line, find the j-th calculation model corresponding to the j-th line with the same electrical characteristics as the i-th calculation model corresponding to the i-th line, calculate the real-time load energy consumption value corresponding to the i-th line based on the j-th model, add the historical operation data of the j-th line to the historical operation data of the i-th line, and re-train the i-th calculation model.

5. A method for managing the connection of new energy to the power grid according to claim 1, characterized in that: In step S4, the real-time load energy consumption value of the i-th line is not calculated during the adjustment of the reactive power signal of the new energy power signal. The real-time load energy consumption value of the i-th line is calculated after the real-time current, real-time voltage and real-time power of the i-th line reach a stable state.

6. A method for managing the connection of new energy to the power grid according to claim 5, characterized in that: The stable state includes that the change rate of the real-time current, real-time voltage or real-time load energy consumption value within the set time is less than or equal to the set value, where different reference parameters have different setting values, and the reference parameters include real-time current, real-time voltage or real-time load energy consumption value.

7. A method for managing the connection of new energy to the power grid according to claim 1, characterized in that: The new energy power supply signal includes an active power supply signal and a reactive power supply signal.

8. A new energy grid access setting management system, characterized in that: A method for managing the connection of new energy to a power grid according to any one of claims 1 to 7, the system comprising: A controller for outputting control information of a new power supply signal; a power regulator configured to determine an optimal reactive power value of the new energy power signal when the energy consumption value of at least one load in the i-th circuit changes from a rated value, adjust the output of the new energy power signal according to the control information, and reduce the difference between the reactive power of the new energy power signal and the optimal reactive power by adjusting the reactive power of the new energy power signal in real time until the difference is minimized; A construction unit, configured to construct a twin model of the power grid based on all grid line information corresponding to the first power grid after the new energy source is connected to the power grid and the location information of the new energy source connected, and to update the real-time operating parameters of each grid line to the twin model; an acquisition unit, configured to acquire real-time operating parameters and historical operating parameters of each line of the first power grid; The training unit is configured to: train an i-th calculation model corresponding to the i-th line based on the real-time operating parameters of the new energy power supply signal and the real-time operating parameters and historical operating parameters of the i-th line in the first power grid, where the value range of i is a positive integer greater than or equal to 1 and less than or equal to N, and N is the total number of lines in the first power grid; further train the i-th calculation model based on the first comparison result; and after the reactive power of the new energy power supply signal is adjusted, re-collect the real-time operating parameters of the i-th line and re-train the i-th calculation model to obtain more accurate real-time power; a calculation unit that compares the real-time load energy consumption value corresponding to the i-th line with the rated load energy consumption value corresponding to the i-th line to obtain a first comparison result, and predicts a trend of the load energy consumption value of the i-th line based on a rate of change of the load energy consumption value corresponding to the i-th line; A display unit is provided, and the real-time operating parameters of the first power grid are visualized through a twin model. When the energy consumption value of at least one load in the i-th line changes from the rated value, an early warning message is displayed at the position of the load in the i-th line in the twin model.

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