Coordination control method of intelligent micro-grid

Abstract

The invention discloses a coordination control method of an intelligent micro-grid, relates to the technical field of power grid energy saving, and solves the problem that real-time analysis cannot be carried out to confirm whether other power production equipment needs to be involved for energy supply in real time. By adopting the curve analysis mode, the original computing power can be fully saved, the efficiency and accuracy of numerical analysis can be fully guaranteed, the electric energy can be guaranteed to be generated in real time, a green power station is preferentially adopted for power generation, preliminary energy saving is carried out, and the energy consumption is reduced. And when the non-green power station is not used, the non-green power station is not used, so that a better power generation effect is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid energy conservation, and in particular to a coordinated control method of a smart microgrid. Background Art

[0002] Smart grid information engineering achieves energy-saving control in a variety of efficient ways, mainly by integrating advanced sensing and measurement technology, equipment technology, control methods and decision support system technology to achieve the goal of reliable, safe, economical, efficient and environmentally friendly power supply.

[0003] The application with publication number CN107154622A discloses a dispatching and control system on the power plant side of the power grid based on energy conservation, emission reduction, stability and safety, which is characterized by comprising the following steps: 1. Remotely copying real-time and recent key data of the units and the data of the online and offline data of the power system automatic dispatching and control units; and analyzing to ensure optimized dispatching and energy conservation and emission reduction; 2. Designing the dispatching mechanism on the power grid and power plant side; 3. Designing the flow chart of the dispatching system on the power grid and power plant side; 4. Designing and setting the coal consumption tolerance; 5. Trial operation, according to whether the power on the power grid is normal, abundant or insufficient, and grasping the coal consumption tolerance, real-time coal consumption, online electricity price and cost electricity price; it can form a coal consumption tolerance table for key areas of the power grid, and at the same time, the scheme enables decision makers to accurately reflect the priority diagram of the main key power supply points in advance during the online decision-making process. The method has good scalability and quantification, which is conducive to the establishment of a wider range of power station online decision-making software and expert systems.

[0004] In the process of energy-saving control, power grid information engineering generally optimizes power based on the power consumption of the corresponding area. However, this method is relatively lagging. It usually determines the output of the next group based on the power consumption of the previous group of time periods. The power is still lost and cannot be analyzed in real time to confirm whether other power production equipment needs to be involved for energy supply. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a coordinated control method for an intelligent microgrid, which solves the problem that real-time analysis cannot be performed to confirm in real time whether other power production equipment needs to be involved for energy supply.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A coordinated control method of a smart microgrid comprises the following steps: Step 1: The numerical monitoring center is used to monitor the power generation data of the power station and the power consumption data of the energy storage station, wherein the power station includes a green energy power station and a non-green energy power station, and the monitored power generation data is the power generation data of the green energy power station; Step 2: The power data analysis center combines and analyzes the real-time monitored power generation data and power consumption data, identifies the numerical difference between the power generation data and the power consumption data, and evaluates whether it is necessary to control the non-green energy power station to supply power and generate an intervention production signal. The specific method is as follows: Based on the current moment, the power generation data and power consumption data that appear in the subsequent continuous moments are confirmed, and according to the changes in the timeline, the timeline is used as the horizontal coordinate axis and the power data is used as the vertical coordinate axis to generate a set of two-dimensional coordinate systems. According to the power generation data corresponding to different moments, the green production capacity curve is constructed in real time, and according to the power consumption data corresponding to different moments, the relevant energy consumption curve is constructed in real time; Based on the two sets of curves generated in real time, determine the height difference between the two sets of curves at the current moment: If the current green capacity curve is higher than the relevant energy consumption curve, this moment is recorded as the initial moment, and the curve is monitored. When the green capacity curve intersects the relevant energy consumption curve, the intersection point is determined, and a set of standard lines perpendicular to the X-axis and passing through the initial moment are constructed. The area between the standard lines and the intersection points is calibrated as the approved area by combining the two sets of curves, and the area M1 of the approved area is determined. The subsequent green capacity curve is lower than the relevant energy consumption curve and a vertical line at the corresponding moment is generated in real time. The vertical line is perpendicular to the X-axis. The area M between the intersection point and the subsequent vertical line is confirmed in real time based on the vertical line constructed in real time. i , where i represents the moment of real-time change, when M i >M1, a production intervention signal is generated and transmitted to the control center. Otherwise, monitoring continues until M i >M1, a production intervention signal is generated. If the green capacity curve is higher than the relevant energy consumption curve and M i >M1, the initial time is recalibrated, the approved area is re-determined, and the area comparison is performed again through the curve monitoring process; If the current green capacity curve is lower than the relevant energy consumption curve, a production intervention signal is directly generated and transmitted to the control center; Step 3: Based on the intervention production signal generated at the current moment, the control center controls the non-green energy power station to generate electricity. The power generation value is the difference between the real-time monitored power consumption data and the power generation data, and the generated energy is transmitted to the energy storage station.

[0007] Preferably, it also includes: The electricity consumption data analysis end performs periodic data analysis based on the distribution volume of the energy storage station to each different electricity consumption area and the electricity consumption of different electricity consumption areas, and divides different electricity consumption areas into high-consumption areas or low-consumption areas.

[0008] Preferably, the specific method of dividing different power consumption areas into high power consumption areas or low power consumption areas is: Define a set of verification periods T, where T is a preset value; Determine the total value of the distribution volume for the application area within the approved period T and mark it as Z k , where k represents different electricity consumption areas, and then determine the total value of electricity consumption generated by the relevant electricity consumption area within the current approval period T, and mark it as D k ; When Z k >D k When the power consumption area is low, the corresponding power consumption area will be marked as a low power consumption area; When Z k <D k When the power consumption area is high, the corresponding power consumption area will be marked as a high power consumption area; When Z k =D k No calibration is performed.

[0009] Preferably, the method further comprises the following steps: The low-consumption area processing end generates a power consumption change curve belonging to the low-consumption area based on the power consumption generated by the low-consumption area at different times during the approved period, and then performs relevant processing on the power consumption change curve to determine the distribution volume per unit time of the low-consumption area in the next approved period; the specific method is: According to the power consumption corresponding to different times in this approved period T, a power consumption change curve corresponding to the low power consumption area is generated, and the horizontal coordinate axis of the curve is the time line of the approved period T, and the vertical coordinate axis is the power consumption; Based on the preset value X1, a group of mobile associated areas is determined. Starting from the time when the power consumption is 0, its associated value (0+X1) is determined. The area between 0 and (0+X1) is marked as the mobile associated area, and the area range of the mobile associated area is kept unchanged. The mobile associated area is moved upward in sequence. During the movement, the maximum value and the minimum value of the mobile associated area change in real time. A group of vertical lines perpendicular to the minimum value are constructed and marked as lower calibration lines, and a group of vertical lines perpendicular to the maximum value are constructed and marked as upper calibration lines. Based on the movement process of the mobile associated area, some segments of the power consumption change curve between the lower calibration line and the upper calibration line are calibrated as built-in segments, and the built-in segments corresponding to each different movement process are confirmed one by one, and then the specific duration associated with the built-in segments is confirmed. The specific duration can be determined based on the time corresponding to the initial point of the built-in segment and the time corresponding to the end point, and a group of built-in segments with the longest specific duration are selected as standard segments; The power consumption of several groups associated with the standard line segment is averaged to determine the distribution volume FF per unit time of the low power consumption area in the next approved period, and transmitted to the control center; The control center will subsequently adjust the distribution volume corresponding to the low power consumption area to FF, and execute a whole verification cycle T1, which is the next cycle of the above verification cycle T.

[0010] Preferably, it also includes: The high-consumption area processing end determines the distribution volume per unit time of the high-consumption area in the next approval cycle based on the total power consumption generated by the high-consumption area in the current approval cycle. The specific method is: Determine the total power consumption D generated by this high power consumption area during this approved period k , to determine the average power consumption per unit time J, where J = D k ÷T, where T is the current approval period; The determined average power consumption J is transmitted to the control center, and the control center subsequently adjusts the distribution volume of this high power consumption area to J, and executes a whole verification cycle T1, which is the next cycle of the above verification cycle T.

[0011] The present invention provides a coordinated control method for a smart microgrid. Compared with the prior art, the present invention has the following beneficial effects: The present invention uses curve monitoring and area comparison to perform real-time monitoring and determine whether other substations need to be added. This curve analysis method can fully save the original computing power to fully guarantee the efficiency and accuracy of its numerical analysis, and can ensure that its electric energy can be generated in real time. Green power stations are given priority to generate electricity to achieve preliminary energy saving. When non-green power stations are not used, non-green power stations are not used to achieve better power generation effects. For the low-power consumption areas determined in the subsequent power consumption process, periodic monitoring is performed to determine the relevant power consumption change curve, and then based on the set threshold, the interval is floated to find the most stable related line segment, and then the best parameters are selected from the related line segments. This best parameter is subsequently used for periodic adjustment and energy-saving control to avoid energy waste. In this way, better energy-saving control can be performed for low-power consumption areas to achieve better energy-saving effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 It is a schematic diagram of the principle framework of the present invention; Figure 2 It is a schematic diagram showing the production capacity curve and energy consumption curve of the present invention; Figure 3 It is a schematic diagram for analyzing the power consumption variation curve of the present invention. DETAILED DESCRIPTION

[0013] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0014] Embodiment 1 See also Figure 1 The present application provides a coordinated control method for a smart microgrid, including an associated coordinated control system, wherein the system includes a numerical monitoring center, an electric energy data analysis center, a control center, an electric energy data analysis terminal, a high-consumption area processing terminal, and a low-consumption area processing terminal, wherein the numerical monitoring center is electrically connected to an input node of the electric energy data analysis center, and the electric energy data analysis center is electrically connected to an input node of the control center, wherein the electric energy data analysis terminal is electrically connected to an input node of the high-consumption area processing terminal or a low-consumption area processing terminal, respectively, and the high-consumption area processing terminal or the low-consumption area processing terminal is electrically connected to an input node of the control center; The numerical monitoring center is used to monitor the power generation data of power stations and the power consumption data of energy storage stations. The power stations include green energy power stations and non-green energy power stations. The monitored power generation data is the power generation data of green energy power stations. Green energy power stations are generally wind power stations and solar power stations, and non-green energy power stations are generally fossil energy and other related power stations. The energy storage station stores the electricity produced by the power station and distributes the stored electricity to the relevant power consumption areas in turn. The power data analysis center combines and analyzes the real-time monitored power generation data and power consumption data, identifies the numerical difference between the power generation data and the power consumption data, and evaluates whether it is necessary to control the non-green energy power station to supply power. The specific methods of evaluation include: Based on the current moment, the power generation data and power consumption data that appear in the subsequent continuous moments are confirmed, and according to the changes in the timeline, the timeline is used as the horizontal coordinate axis and the power data is used as the vertical coordinate axis to generate a set of two-dimensional coordinate systems. Figure 2 , based on the power generation data corresponding to different times, the green production capacity curve is constructed in real time, and based on the power consumption data corresponding to different times, the relevant energy consumption curve is constructed in real time; Based on the two sets of curves generated in real time, determine the height difference between the two sets of curves at the current moment: If the current green capacity curve is higher than the relevant energy consumption curve, this moment is recorded as the initial moment and the curve is monitored. When the green capacity curve intersects the relevant energy consumption curve, the intersection point is determined, and a set of standard lines perpendicular to the X-axis and passing through the initial moment are constructed. The area between the standard lines and the intersection points is calibrated as the approved area by combining the two sets of curves, and the area M1 of the approved area is determined. The subsequent green capacity curve is lower than the relevant energy consumption curve and the vertical line of the corresponding moment is generated in real time (the moment is gradually changing, so each corresponding moment will generate corresponding data. When the moment is generated, the vertical line can be directly constructed). The vertical line is perpendicular to the X-axis. Based on the vertical line constructed in real time, the area M between the intersection point and the subsequent vertical line is confirmed in real time. i (i.e., the area following the approved area, which is constructed by the vertical line), where i represents the moment of real-time change. i >M1, a production intervention signal is generated and transmitted to the control center. Otherwise, monitoring continues until M i >M1, a production intervention signal is generated. If the green capacity curve is higher than the relevant energy consumption curve and M i >M1, the initial time is recalibrated, the approved area is re-determined, and the area comparison is performed again through the curve monitoring process (that is, the curve is generated in real time, assuming Figure 2 The area of ​​the first approved area is 5, and the area between the first and second intersections is 4, so it is "subsequent until the green capacity curve is higher than the relevant energy consumption curve and M does not appear i >M1", then the area from the second group of intersections to the third group of intersections is another group of approved areas, and the parts where the green capacity curve is higher than the relevant energy consumption curve are all approved areas. Compared with numerical analysis, this analysis and processing method is more efficient and the processing progress can be fully guaranteed); If the current green capacity curve is lower than the relevant energy consumption curve, a production intervention signal is directly generated and transmitted to the control center; Among them, the control center controls the non-green energy power station to generate electricity based on the intervention production signal generated at the current moment. The power generation value is the difference between the real-time monitored power consumption data and the power generation data, and transmits the generated power to the energy storage station. Specifically, the difference is: the power consumption data at the current moment - the power generation data at the current moment, where the power generation data and the power consumption data are both generated in real time. When the corresponding intervention production signal is generated, the power consumption data generated is higher than the power generation data. Only when the power consumption data is higher than the power generation data, the intervention production signal will be generated; Specific, combined Figure 2As the timeline changes, its green capacity data and related energy consumption data change in real time, that is, power generation data and power consumption data, then the green capacity curve and related energy consumption curve are generated in real time, and the two sets of curves can fully display the changes in the corresponding data. When the green capacity curve is higher than the related energy consumption curve, it means that the electricity generated by its green power station can fully meet the energy consumption of the corresponding energy storage station, and there is no need for other non-green power stations to intervene. The extra electricity data can determine the corresponding approved area, and an area value can be determined. When the subsequent area value exceeds this area value, it means that the previous excess electricity has been consumed, then it is necessary to re-analyze and perform relevant calibration of the approved area. This curve analysis method can fully save the original computing power to fully guarantee the efficiency and accuracy of its numerical analysis, and can ensure that its electricity can be generated in real time, give priority to using green power stations for power generation, to carry out preliminary energy saving, and do not use non-green power stations when they are not used, so as to achieve better power generation effects.

[0015] Embodiment 2 In the specific implementation process of this embodiment, compared with the above embodiment, embodiment 1 is mainly implemented for the primary energy saving of power generation data, and embodiment 2 is mainly implemented for the secondary energy saving of the power consumption area, so as to fully ensure the full energy saving of its power grid information engineering area; The power consumption data analysis end performs periodic data analysis based on the amount of power distributed by the energy storage station to each different power consumption area and the power consumption of different power consumption areas, and divides different power consumption areas into high power consumption areas or low power consumption areas. The specific method of division is as follows: A set of verification periods T is defined, where T is a preset value, generally 24 hours; Determine the total value of the distribution volume for the application area within the approved period T and mark it as Z k , where k represents different electricity consumption areas, and then determine the total value of electricity consumption generated by the relevant electricity consumption area within the current approval period T, and mark it as D k ; When Z k >D k When the power consumption area is low, the corresponding power consumption area will be marked as a low power consumption area; When Z k <D k When the power consumption area is high, the corresponding power consumption area will be marked as a high power consumption area; When Z k =D k When the power is applied, no calibration is performed. Specifically, there is also a small energy storage area in the power application area. The energy storage area stores the electricity distributed by the power storage station and then provides it to the power consumption area for consumption. Therefore, there will be Z k <D kThis situation means that the electricity consumption in the power application area exceeds the standard, and certain targeted changes are needed. This can not only ensure the normal electricity consumption in the power application area, but also fully save electricity.

[0016] The low-consumption area processing end generates a power consumption change curve belonging to the low-consumption area based on the power consumption generated by the low-consumption area at different times during the approved period, and then performs relevant processing on the power consumption change curve to determine the distribution amount per unit time of the low-consumption area in the next approved period, wherein the specific method for determining is: According to the power consumption corresponding to different times in this approved period T, a power consumption change curve corresponding to the low power consumption area is generated, and the horizontal coordinate axis of the curve is the time line of the approved period T, and the vertical coordinate axis is the power consumption; Based on the preset value X1, a set of mobile associated areas is determined, wherein the specific value of X1 is determined by the operator based on experience. Starting from the time when the power consumption is 0, its associated value (0+X1) is determined, and the area between 0-(0+X1) is marked as the mobile associated area, and the area range of the mobile associated area is kept unchanged (that is, X1 is unchanged), so that the mobile associated area moves upward in sequence, and during the movement, the maximum value and the minimum value of the mobile associated area change in real time, and a set of vertical lines perpendicular to the minimum value are constructed and marked as lower calibration lines, and a set of vertical lines perpendicular to the maximum value are constructed and marked as upper calibration lines; Combination Figure 3 Based on the movement process of the mobile associated area, the partial line segments of the power consumption change curve between the lower calibration line and the upper calibration line are calibrated as built-in line segments, and the built-in line segments corresponding to each different movement process are confirmed one by one, and then the specific duration associated with the built-in line segments is confirmed. The specific duration can be determined based on the time corresponding to the initial point of the built-in line segment and the time corresponding to the end point, and a group of built-in line segments with the longest specific duration are selected as standard line segments; The power consumption of several groups associated with the standard line segment is averaged to determine the distribution volume FF per unit time of the low power consumption area in the next approved period, and transmitted to the control center; The control center will subsequently adjust the distribution volume corresponding to the low power consumption area to FF, and execute a whole verification cycle T1, which is the next cycle of the above verification cycle T; Specific, combined Figure 3Understand that we can use X1 as a distance standard to determine an associated area with a distance value of X1. This associated area can move up and down. During the movement, the endpoint value of the associated area will also change, and the two groups of corresponding calibration lines will also move up and down. During the movement, the related curve segments belonging to these two groups of calibration lines will also change in real time, so several groups of curve segments can be determined, and the time length associated with each curve segment is different. If the selected time length is the longest, then the numerical fluctuation of the corresponding segment is the most stable, and they all belong to the two segments and have the longest time length. Then the most stable segment can be used as a standard for power consumption in this area, and the average value can be confirmed to perform energy-saving control and avoid energy waste.

[0017] Embodiment 3 The high-consumption area processing end determines the distribution volume per unit time of the high-consumption area in the next approval cycle based on the total power consumption value generated by the high-consumption area in the current approval cycle, wherein the specific method for determining is: Determine the total power consumption D generated by this high power consumption area during this approved period k , to determine the average power consumption per unit time J, where J = D k ÷T, where T is the current approval period; The determined average power consumption J is transmitted to the control center, and the control center subsequently adjusts the distribution volume of this high power consumption area to J, and executes a whole verification cycle T1, which is the next cycle of the above verification cycle T.

[0018] Specifically, the purpose here is to determine the corresponding distribution volume to ensure that the high-power consumption areas can use electricity normally and to ensure that their power consumption is sufficient.

[0019] Embodiment 4 The specific implementation process of this embodiment includes all the implementation processes of the above three groups of embodiments.

[0020] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0021] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A coordinated control method for a smart microgrid, characterized in that: The following steps are involved: Step 1: Use a numerical monitoring center to monitor the power generation data of power stations and the power consumption data of energy storage stations, wherein the power stations include green energy power stations and non-green energy power stations, and the monitored power generation data is the power generation data of green energy power stations; Step 2: The power data analysis center combines and analyzes the real-time monitored power generation data and power consumption data to identify the numerical difference between the power generation data and the power consumption data, so as to assess whether it is necessary to control the non-green energy power station to supply power and generate an intervention production signal; Step 3: The control center then controls the non-green energy power station to generate electricity based on the intervention production signal generated at the current moment. The power generation value is the difference between the real-time monitored power consumption data and the power generation data, and the generated energy is transmitted to the energy storage station.

2. The coordinated control method of a smart microgrid according to claim 1, characterized in that: The specific method for the power data analysis center to assess whether it is necessary to control the non-green energy power station to supply power is: Based on the current moment, the power generation data and power consumption data that appear in the subsequent continuous moments are confirmed, and according to the changes in the timeline, the timeline is used as the horizontal coordinate axis and the power data is used as the vertical coordinate axis to generate a set of two-dimensional coordinate systems. According to the power generation data corresponding to different moments, the green production capacity curve is constructed in real time, and according to the power consumption data corresponding to different moments, the relevant energy consumption curve is constructed in real time; Based on the two sets of curves generated in real time, determine the height difference between the two sets of curves at the current moment: If the current green capacity curve is higher than the relevant energy consumption curve, this moment is recorded as the initial moment, and the curve is monitored. When the green capacity curve intersects the relevant energy consumption curve, the intersection point is determined, and a set of standard lines perpendicular to the X-axis and passing through the initial moment are constructed. The area between the standard lines and the intersection points is calibrated as the approved area by combining the two sets of curves, and the area M1 of the approved area is determined. The subsequent green capacity curve is lower than the relevant energy consumption curve and a vertical line at the corresponding moment is generated in real time. The vertical line is perpendicular to the X-axis. The area M between the intersection point and the subsequent vertical line is confirmed in real time based on the vertical line constructed in real time. i , where i represents the moment of real-time change, when M i >M1, a production intervention signal is generated and transmitted to the control center. Otherwise, monitoring continues until M i >M1, a production intervention signal is generated. If the green capacity curve is higher than the relevant energy consumption curve and M i >M1, the initial time is recalibrated, the approved area is re-determined, and the area comparison is performed again through the curve monitoring process; If the green production capacity curve at the current moment is lower than the relevant energy consumption curve, a production intervention signal is directly generated and transmitted to the control center.

3. The coordinated control method of a smart microgrid according to claim 1, characterized in that: Also includes: The electricity consumption data analysis end performs periodic data analysis based on the distribution volume of the energy storage station to each different electricity consumption area and the electricity consumption of different electricity consumption areas, and divides different electricity consumption areas into high-consumption areas or low-consumption areas.

4. The coordinated control method of a smart microgrid according to claim 3, characterized in that: The specific method of dividing different power consumption areas into high power consumption areas or low power consumption areas by the power consumption data analysis terminal is: Define a set of verification periods T, where T is a preset value; Determine the total value of the distribution volume for the application area within the approved period T and mark it as Z k , where k represents different electricity consumption areas, and then determine the total value of electricity consumption generated by the relevant electricity consumption area within the current approval period T, and mark it as D k ; When Z k >D k When the power consumption area is low, the corresponding power consumption area will be marked as a low power consumption area; When Z k <D k When the power consumption area is high, the corresponding power consumption area will be marked as a high power consumption area; When Z k =D k No calibration is performed.

5. The coordinated control method of a smart microgrid according to claim 4, characterized in that: Also includes: The low-consumption area processing end generates a power consumption change curve belonging to this low-consumption area based on the power consumption generated by this low-consumption area at different times during the approved period, and then performs relevant processing on the power consumption change curve to determine the distribution volume per unit time of this low-consumption area in the next approved period.

6. The coordinated control method of a smart microgrid according to claim 5, characterized in that: The specific method for the low-power consumption area processing end to determine the distribution amount per unit time of the low-power consumption area in the next approved cycle is: According to the power consumption corresponding to different times in this approved period T, a power consumption change curve corresponding to the low power consumption area is generated, and the horizontal coordinate axis of the curve is the time line of the approved period T, and the vertical coordinate axis is the power consumption; Based on the preset value X1, a group of mobile associated areas is determined. Starting from the time when the power consumption is 0, its associated value (0+X1) is determined. The area between 0 and (0+X1) is marked as the mobile associated area, and the area range of the mobile associated area is kept unchanged. The mobile associated area is moved upward in sequence. During the movement, the maximum value and the minimum value of the mobile associated area change in real time. A group of vertical lines perpendicular to the minimum value are constructed and marked as lower calibration lines, and a group of vertical lines perpendicular to the maximum value are constructed and marked as upper calibration lines. Based on the movement process of the mobile associated area, some segments of the power consumption change curve between the lower calibration line and the upper calibration line are calibrated as built-in segments, and the built-in segments corresponding to each different movement process are confirmed one by one, and then the specific duration associated with the built-in segments is confirmed. The specific duration can be determined based on the time corresponding to the initial point of the built-in segment and the time corresponding to the end point, and a group of built-in segments with the longest specific duration are selected as standard segments; The power consumption of several groups associated with the standard line segment is averaged to determine the distribution volume FF per unit time of the low power consumption area in the next approved period, and transmitted to the control center; The control center will subsequently adjust the distribution volume corresponding to the low power consumption area to FF, and execute a whole verification cycle T1, which is the next cycle of the above verification cycle T.

7. The coordinated control method of a smart microgrid according to claim 4, characterized in that: The following steps are also included: Step 4: According to the high-consumption area processing end, for the determined high-consumption area, based on the total power consumption generated by this high-consumption area in this approved period, determine the distribution volume per unit time of this high-consumption area in the next approved period.

8. The coordinated control method of a smart microgrid according to claim 7, characterized in that: The specific method for the high power consumption area processing end to determine the distribution volume per unit time of the high power consumption area in the next approved cycle is: Determine the total power consumption D generated by this high power consumption area during this approved period k , to determine the average power consumption per unit time J, where J = D k ÷T, where T is the current approval period; The determined average power consumption J is transmitted to the control center, and the control center subsequently adjusts the distribution volume of this high power consumption area to J, and executes a whole verification cycle T1, which is the next cycle of the above verification cycle T.

Images