CN119275999B - A dynamic scheduling method based on virtual power plant resource aggregation - Google Patents

Abstract

The invention discloses a dynamic scheduling method based on virtual power plant resource aggregation, which comprises the steps of acquiring data through sensors and monitoring equipment, collecting running state data and position information of distributed energy resources, and collecting real-time running data and position information of electric equipment in a power grid. According to the dynamic scheduling method based on virtual power plant resource aggregation, a dynamic scheduling model is built by utilizing aggregated data, region planning is achieved based on the dynamic scheduling model, scheduling processing operation is achieved by combining position information according to a comparison result and scheduling instructions are generated for transmission through comparison of resources in corresponding regions and resources required by electric equipment, and meanwhile the instructions are issued to each resource for execution, so that the resources in the regions and the electric equipment data are integrated, balanced scheduling of each device is achieved by means of scheduling butt joint between the regions, and therefore accuracy and efficiency of dynamic scheduling are effectively improved.

Description

A dynamic scheduling method based on virtual power plant resource aggregation

Technical Field

The present invention relates to the technical field of dynamic resource scheduling, and in particular to a dynamic scheduling method based on virtual power plant resource aggregation.

Background Art

With the rapid development of distributed energy, more and more photovoltaic, wind power, energy storage and other resources are connected to the power grid, which brings new challenges to the operation of the power grid. These distributed energy sources are intermittent and uncertain, which makes it difficult to dispatch the power grid.

The reference patent name is: An economic and low-carbon dual-layer dynamic scheduling method under centralized control of a virtual power plant (patent publication number: CN115034589A, patent publication date: 2022-09-09), including building an economic dynamic scheduling model and a low-carbon dynamic scheduling model based on pre-collected virtual power plant information, a pre-established virtual power plant aggregation resource model, and pre-set virtual power plant safety operation constraints; scheduling is performed through the economic dynamic scheduling model to obtain the output load curve of the virtual power plant; the output load curve is used as the low-carbon dynamic scheduling operation constraint condition of the virtual power plant, and scheduling is performed through the low-carbon dynamic scheduling model, and output plans for various types of resources within the virtual power plant are formulated, and various types of scheduling result information of the virtual power plant are output, so as to further refine the modeling of diversified resources within the virtual power plant and realize the overall economic and low-carbon optimized operation advantages of the virtual power plant.

Based on the description in the above-mentioned document, in the operation of scheduling existing power plant resources, when there is a shortage of electricity in a certain place, a balanced operation is achieved by scheduling at an energy source with excess resources. However, as the number of places with insufficient electricity increases and the distance between them becomes longer, there will be delays or duplications in scheduling, which will also cause more electricity loss. For this reason, the present invention provides a dynamic scheduling method based on virtual power plant resource aggregation.

Summary of the invention

In view of the deficiencies in the prior art, the present invention provides a dynamic scheduling method based on virtual power plant resource aggregation, which solves the problem that when there is a shortage of electric energy in a certain place during the scheduling operation of existing power plant resources, a balanced operation is achieved by scheduling at an energy source with excess resources. However, as the number of places with insufficient electric energy increases and the distance between them becomes longer, there will be delays or duplications in scheduling, which will also cause a lot of electric energy loss.

To achieve the above objectives, the present invention is implemented through the following technical solutions: a dynamic scheduling method based on virtual power plant resource aggregation, specifically comprising the following steps:

A1. Obtain data through sensors and monitoring equipment, collect the operating status data and location information of distributed energy resources, collect the real-time operating data and location information of power-consuming equipment in the power grid, and store them in the database to realize the aggregation processing operation of data resources;

A2. Use the aggregated data to establish a dynamic scheduling model, and implement regional planning based on the dynamic scheduling model. Compare the resources in the corresponding area with the resources required by the power-consuming equipment, implement scheduling processing operations based on the comparison results and location information, generate scheduling instructions for transmission, and send the instructions to each resource for execution;

A3. Monitor the execution status of resources in real time and display it on the display interface, and adjust the scheduling instructions according to changes in actual conditions.

Preferably, the aggregation processing operation of the data resources in A1 is:

a11. Aggregate the light energy resources, wind energy resources and water resources data contained in the monitored area to form a clean resource data set;

a12. Mark the resources required by the power-consuming equipment in the monitoring area, and aggregate and summarize them to form a power resource data set;

a13. Aggregate the clean resource location information and the power resource location information in the monitoring area to form a location data set, and transmit the clean resource data set, the power resource data set and the location data set.

Preferably, the establishment operation of the dynamic scheduling model in the A2 operation is:

a21. After extracting the historical clean resource data, power resource data and location data of the monitoring area, the various location information of the monitoring area is reproduced according to the location data, so as to establish a dynamic scheduling model similar to the actual situation;

a22. Then, the historical clean resource data and power resource data are introduced into the dynamic scheduling model as a test set for training, and data processing and optimization are performed for emergencies;

a23. Subsequently, the real-time collected data is introduced into the dynamic scheduling model for analysis and processing, and scheduling instructions are generated for transmission.

Preferably, the operation of implementing regional planning based on the dynamic scheduling model in A2 is:

B1. Select the first cleaning resource as the center position and mark it as O ₁ , and use O ₁ as the starting point to find the second cleaning resource closest to O ₁ and mark it as O ₂ ;

B2, and draw a circle with _O1 as the center and the covering radius of _S1 , and the area within the first circle is the first area, and draw a circle with _O2 as the center and the covering radius of _S2 , and the area within the second circle is the second area;

B3, find the location of the third clean resource closest to O ₂ and mark it as O ₃ , draw a circle with O ₃ as the center and a radius covering the distance from O ₃ to the nearest point on the boundary of the second area, and the area within the third circle is the third area;

B4. Follow this operation to complete the division of all clean resource covered areas after removing the circled areas. When the division process intersects with other areas, the current circle range is divided by the boundary of the covered area, and the current circle range after removing the intersecting area is the current area.

Preferably, the calculation formula for the coverage radius _S1 and _S2 in B2 is:

_w1 is the value of electric energy generated by the first clean resource, _w2 is the value of electric energy generated by the second clean resource, and h is the distance between _O1 and _O2 of the first clean resource and the second clean resource;

S ₂ =hS ₁ .

Preferably, the operation of comparing the resources in the corresponding area in A2 with the resources required by the electrical equipment is:

C1, select any area and collect the total amount of resources generated during the period in the area, marked as U ₁ , and the total amount of real-time resources consumed by the electrical equipment, marked as V ₁ ;

C2, and compare the total amount of resources generated U ₁ with the total amount of real-time resources consumed by the electrical equipment V ₁ ;

If U ₁ ≥V ₁ , the current region is a surplus region and is marked as P. Otherwise, if U ₁ ＜V ₁ , the current region is a deficit region and is marked as Q.

C3. After completing the evaluation and comparison of each area, the dispatch operation is performed from the surplus area P to the shortage area Q.

Preferably, the calculation operation of the total amount of real-time resources _V1 consumed by the electrical equipment in the collection area during the period in C1 is:

v _n represents the resource consumption value of the electrical equipment in the nth collection area, and (v ₁ +v ₂ +…+v _n ) represents the total real-time resource consumption of the electrical equipment in the area.

Preferably, the dispatching operation of the surplus area P in C3 to the shortage area Q is:

c31. Select a shortage area Q, calculate the corresponding missing resource value, and then find the nearest surplus area P with the clean resource position of the shortage area Q as the center;

c32, and compare the missing resource value with the excess resource value in the surplus area P;

c33. If the value of the missing resources is less than the value of the extra resources in the surplus area P, the resources can be scheduled and transmitted based on the surplus area P.

If the value of the missing resources is greater than the value of the extra resources in the surplus area P, the nearest surplus area other than the first surplus area P is searched with the clean resource position of the insufficient area Q as the center, and the comparison is performed according to the operation of c32 until the resource scheduling and balancing operation of the insufficient area Q is completed;

c34. When the distance between the shortage area Q and the dispatched surplus area is far from the distance between the shortage area Q and the power supply area of the power grid, the power supply is dispatched directly through the power supply area of the power grid.

Preferably, the calculation method of the missing resource value in the c31 operation is: r ₁ =V ₁ -U ₁ ;

r ₁ is the value of the resource missing in the insufficient area Q;

The calculation formula of the surplus area P is: r ₂ =U ₂ -V ₂ ;

r ₂ is the excess resource value in the surplus area P, U ₂ is the total amount of resources generated during the period in the surplus area, and V ₂ is the total amount of real-time resources consumed by the power-consuming equipment.

Preferably, the operation of adjusting the instruction according to the actual situation in A3 is:

a31. After the scheduling operation is completed during one cycle, different regions will perform new scheduling operations synchronously as the next cycle changes;

a32. During the scheduling process, not only the resource value difference in the current cycle is calculated, but also the resource value surplus of the previous cycle is accumulated;

a33. Finally, the combined resource values are used to perform scheduling operations on the insufficient area Q.

The present invention provides a dynamic scheduling method based on virtual power plant resource aggregation. Compared with the prior art, it has the following beneficial effects:

(1) The dynamic scheduling method based on virtual power plant resource aggregation establishes a dynamic scheduling model by using aggregated data, and implements regional planning based on the dynamic scheduling model. By comparing the resources in the corresponding area with the resources required by the power-consuming equipment, the scheduling processing operation is implemented according to the comparison result combined with the location information, and the scheduling instructions are generated for transmission. At the same time, the instructions are sent to each resource for execution, so as to realize the integration of resources and power-consuming equipment data in the area, and realize the balanced scheduling of various equipment by utilizing the scheduling connection between regions, thereby effectively improving the accuracy and efficiency of dynamic scheduling.

(2) The dynamic scheduling method based on virtual power plant resource aggregation selects the location of the first clean resource as the center of the circle, and the circle of the second clean resource is tangent to the circle of the first clean resource, and then completes the division of the area covered by all clean resources except the circled area in sequence, so as to achieve aggregation and management of distributed energy resources, realize regional allocation of resources, effectively improve the operation efficiency of the power grid, and at the same time reduce the number of scheduling operations, and achieve the best balance between resources and power equipment within the regional range.

(3) The dynamic scheduling method based on virtual power plant resource aggregation selects a shortage area Q, calculates the corresponding missing resource value, and then finds the nearest surplus area P with the clean resource position of the shortage area Q as the center. If the missing resource value is greater than the excess resource value of the surplus area P, the nearest surplus area other than the first surplus area P is found with the clean resource position of the shortage area Q as the center, and compared according to the operation of c32 until the resource scheduling balancing operation of the shortage area Q is completed. Short-distance scheduling operations are given priority to reduce the loss of electric energy during transmission, and the scheduling efficiency can be improved through regional scheduling.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is an operation flow chart of the dynamic scheduling method of the present invention;

FIG2 is an operational flow chart of establishing a dynamic scheduling model according to the present invention;

FIG3 is a logic block diagram of the dynamic scheduling method of the present invention.

DETAILED DESCRIPTION

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.

Please refer to Figures 1 to 3. The present invention provides two technical solutions:

Embodiment 1: A dynamic scheduling method based on virtual power plant resource aggregation, specifically comprising the following steps:

A1. Obtain data through sensors and monitoring equipment, collect the operating status data and location information of distributed energy resources, collect the real-time operating data and location information of power-consuming equipment in the power grid, and store them in the database to realize the aggregation processing operation of data resources;

A2. Use the aggregated data to establish a dynamic scheduling model, and implement regional planning based on the dynamic scheduling model. Compare the resources in the corresponding area with the resources required by the power-consuming equipment, implement scheduling processing operations based on the comparison results and location information, generate scheduling instructions for transmission, and send the instructions to each resource for execution;

A3. Monitor the execution of resources in real time and display it on the display interface. At the same time, adjust the dispatch instructions according to the actual situation. For example, when the power output of the photovoltaic power generation system is lower than expected, the power generation of the wind power system can be increased; when the state of charge of the energy storage system is lower than the set value, the power generation of the photovoltaic and wind power systems can be reduced. The adjustment strategy needs to be flexibly formulated according to the real-time operation of the power grid and the operation status of the resources to ensure the safe and stable operation of the power grid.

Among them, a dynamic scheduling model is established by utilizing the aggregated data, and regional planning is implemented based on the dynamic scheduling model. By comparing the resources in the corresponding area with the resources required by the power-consuming equipment, the scheduling processing operation is implemented according to the comparison result combined with the location information, and the scheduling instructions are generated for transmission. At the same time, the instructions are sent to each resource for execution, so as to realize the integration of resources and power-consuming equipment data in the region, and utilize the scheduling connection between regions to realize the balanced scheduling of various equipment, thereby effectively improving the accuracy and efficiency of dynamic scheduling.

In the embodiment of the present invention, the aggregation processing operation of the data resources in A1 is:

a11. Aggregate the light energy resources, wind energy resources and water resources data contained in the monitored area to form a clean resource data set;

a12. Mark the resources required by the power-consuming equipment in the monitoring area, and aggregate and summarize them to form a power resource data set;

a13. Aggregate the clean resource location information and the power resource location information in the monitoring area to form a location data set, and transmit the clean resource data set, the power resource data set and the location data set.

In the embodiment of the present invention, the establishment operation of the dynamic scheduling model in the A2 operation is:

a21. After extracting the historical clean resource data, power resource data and location data of the monitoring area, the various location information of the monitoring area is reproduced according to the location data, so as to establish a dynamic scheduling model similar to the actual situation;

a22. Then, the historical clean resource data and power resource data are introduced into the dynamic scheduling model as a test set for training, and data processing and optimization are performed for emergencies;

a23. Subsequently, the real-time collected data is introduced into the dynamic scheduling model for analysis and processing, and scheduling instructions are generated for transmission.

In the embodiment of the present invention, the operation of implementing regional planning based on the dynamic scheduling model in A2 is:

B1. Select the first cleaning resource as the center position and mark it as O ₁ , and use O ₁ as the starting point to find the second cleaning resource closest to O ₁ and mark it as O ₂ ;

B2, and draw a circle with _O1 as the center and the covering radius of _S1 , and the area within the first circle is the first area, and draw a circle with _O2 as the center and the covering radius of _S2 , and the area within the second circle is the second area;

B3, find the location of the third clean resource closest to O ₂ and mark it as O ₃ , draw a circle with O ₃ as the center and a radius covering the distance from O ₃ to the nearest point on the boundary of the second area, and the area within the third circle is the third area;

B4. Follow this operation to complete the division of all clean resource covered areas after removing the circled areas. When the division process intersects with other areas, the current circle range is divided by the boundary of the covered area, and the current circle range after removing the intersecting area is the current area.

In the embodiment of the present invention, the calculation formula for the coverage radius _S1 and _S2 in B2 is:

_w1 is the value of electric energy generated by the first clean resource, _w2 is the value of electric energy generated by the second clean resource, and h is the distance between _O1 and _O2 of the first clean resource and the second clean resource;

S ₂ =hS ₁ .

Among them, by selecting the location of the first clean resource as the center of the circle, and the circle of the second clean resource is tangent to the circle range of the first clean resource, and then completing the division of the area covered by all clean resources except the circled area, the aggregation and management of distributed energy resources are achieved, the regional allocation of resources is achieved, the operation efficiency of the power grid is effectively improved, and the number of scheduling operations can be reduced at the same time, so as to achieve the best balance between resources and power equipment within the regional range.

In the embodiment of the present invention, the operation of comparing the resources in the corresponding area in A2 with the resources required by the power-consuming equipment is:

C1, select any area and collect the total amount of resources generated during the period in the area, marked as U ₁ , and the total amount of real-time resources consumed by the electrical equipment, marked as V ₁ ;

C2, and compare the total amount of resources generated U ₁ with the total amount of real-time resources consumed by the electrical equipment V ₁ ;

If U ₁ ≥V ₁ , the current region is a surplus region and is marked as P. Otherwise, if U ₁ ＜V ₁ , the current region is a deficit region and is marked as Q.

C3. After completing the evaluation and comparison of each area, the dispatch operation is performed from the surplus area P to the shortage area Q.

In the embodiment of the present invention, the calculation operation of the total amount of real-time resources _V1 consumed by the electrical equipment in the collection area during the period in C1 is:

v _n represents the resource consumption value of the electrical equipment in the nth collection area, and (v ₁ +v ₂ +…+v _n ) represents the total real-time resource consumption of the electrical equipment in the area.

In the embodiment of the present invention, the operation of dispatching the surplus area P in C3 to the shortage area Q is as follows:

c31. Select a shortage area Q, calculate the corresponding missing resource value, and then find the nearest surplus area P with the clean resource position of the shortage area Q as the center;

c32, and compare the missing resource value with the excess resource value in the surplus area P;

c33. If the value of the missing resources is less than the value of the extra resources in the surplus area P, the resources can be scheduled and transmitted based on the surplus area P.

If the value of the missing resources is greater than the value of the extra resources in the surplus area P, the nearest surplus area other than the first surplus area P is searched with the clean resource position of the insufficient area Q as the center, and the comparison is performed according to the operation of c32 until the resource scheduling and balancing operation of the insufficient area Q is completed;

c34. When the distance between the shortage area Q and the dispatched surplus area is far from the distance between the shortage area Q and the power supply area of the power grid, the power supply is dispatched directly through the power supply area of the power grid.

In the embodiment of the present invention, the calculation method of the missing resource value in the c31 operation is: r ₁ =V ₁ -U ₁ ;

r ₁ is the value of the resource missing in the insufficient area Q;

The calculation formula of the surplus area P is: r ₂ =U ₂ -V ₂ ;

r ₂ is the excess resource value in the surplus area P, U ₂ is the total amount of resources generated during the period in the surplus area, and V ₂ is the total amount of real-time resources consumed by the power-consuming equipment.

In the embodiment of the present invention, the operation of adjusting the instruction according to the actual situation in A3 is:

a31. After the scheduling operation is completed during one cycle, different regions will perform new scheduling operations synchronously as the next cycle changes;

a32. During the scheduling process, not only the resource value difference in the current cycle is calculated, but also the resource value surplus of the previous cycle is accumulated;

a33. Finally, the combined resource values are used to perform scheduling operations on the insufficient area Q.

Among them, by selecting a insufficient area Q, the corresponding missing resource value is calculated, and then the clean resource position of the insufficient area Q is used as the center to find the nearest surplus area P. If the missing resource value is greater than the excess resource value of the surplus area P, the clean resource position of the insufficient area Q is used as the center to find the nearest surplus area excluding the first surplus area P, and compare according to the operation of c32 until the resource scheduling and balancing operation of the insufficient area Q is completed, and short-distance scheduling operations are used preferentially to reduce the loss of electric energy during transmission, and the scheduling efficiency can be improved through regional scheduling.

The difference between the second embodiment and the first embodiment is that: a practical application for the scheduling operation is also disclosed, specifically:

During the first cycle, the resource deficit of the first insufficient area Q is 25 kWh, while the excess resource deficit of the first surplus area P is 50 kWh. At this time, the first surplus area P is used to transmit electricity to the first insufficient area Q. Without considering the loss, 25 kWh of electricity is transmitted to the first insufficient area Q.

During the second cycle, the first shortage area Q becomes the surplus area P, and the extra resource difference is 40 kWh of electricity. The first surplus area P becomes the shortage area Q. The shortage resource difference during the cycle is 40 kWh of electricity, and there are 25 kWh of electricity left during the first cycle. Therefore, the first surplus area P that becomes the shortage area Q at this time lacks 15 kWh of electricity, and then 15 kWh of electricity is transmitted from the first shortage area Q that becomes the surplus area P to the first surplus area P that becomes the shortage area Q to maintain the power supply balance operation.

Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims (1)

1. A dynamic scheduling method based on virtual power plant resource aggregation, characterized in that it specifically includes the following steps: A1. Obtain data through sensors and monitoring equipment, collect the operating status data and location information of distributed energy resources, collect the real-time operating data and location information of power-consuming equipment in the power grid, and store them in the database to realize the aggregation processing operation of data resources; A2. Use the aggregated data to establish a dynamic scheduling model, and implement regional planning based on the dynamic scheduling model. Compare the resources in the corresponding area with the resources required by the power-consuming equipment, implement scheduling processing operations based on the comparison results and location information, generate scheduling instructions for transmission, and send the instructions to each resource for execution; A3. Monitor the execution status of resources in real time and display it on the display interface, and adjust the scheduling instructions according to the actual situation; The aggregation processing operation of the data resources in A1 is: a11. Aggregate the light energy resources, wind energy resources and water resources data contained in the monitored area to form a clean resource data set; a12. Mark the resources required by the power-consuming equipment in the monitoring area, and aggregate and summarize them to form a power resource data set; a13. Aggregate the clean resource location information and the power resource location information in the monitoring area to form a location data set, and transmit the clean resource data set, the power resource data set and the location data set; The establishment operation of the dynamic scheduling model in the A2 operation is: a21. After extracting the historical clean resource data, power resource data and location data of the monitoring area, the various location information of the monitoring area is reproduced according to the location data, so as to establish a dynamic scheduling model similar to the actual situation; a22. Then, the historical clean resource data and power resource data are introduced into the dynamic scheduling model as a test set for training, and data processing and optimization are performed for emergencies; a23. Subsequently, the real-time collected data is introduced into the dynamic scheduling model for analysis and processing, and scheduling instructions are generated for transmission; The operations for implementing regional planning based on the dynamic scheduling model in A2 are: B1. Select the first cleaning resource as the center and mark it as O ₁ , and use O ₁ as the starting point to find the second cleaning resource closest to O ₁ and mark it as O ₂ ; B2, and draw a circle with _O1 as the center and the covering radius of _S1 , and the area within the first circle is the first area, and draw a circle with _O2 as the center and the covering radius of _S2 , and the area within the second circle is the second area; B3, find the location of the third clean resource closest to O ₂ and mark it as O ₃ , draw a circle with O ₃ as the center and a radius covering the distance from O ₃ to the nearest point on the boundary of the second area, and the area within the third circle is the third area; B4. Complete the division of all clean resource coverage areas after removing the circled areas in this way. If the area intersects with other areas during the division process, divide the current circle range by the boundary of the covered area, and the current circle range after removing the intersecting area is the current area. The operation of comparing the resources in the corresponding area in A2 with the resources required by the power-consuming equipment is: C1, select any area and collect the total amount of resources generated during the period in the area, marked as U ₁ , and the total amount of real-time resources consumed by the electrical equipment, marked as V ₁ ; C2, and compare the total amount of resources generated U ₁ with the total amount of real-time resources consumed by the electrical equipment V ₁ ; If U ₁ ≥V ₁ , the current region is a surplus region and is marked as P. Otherwise, if U ₁ ＜V ₁ , the current region is a deficit region and is marked as Q. C3. After completing the evaluation and comparison of each area, dispatch operations are performed from the surplus area P to the shortage area Q; The dispatching operation of the surplus area P in C3 to the shortage area Q is: c31. Select a shortage area Q, calculate the corresponding missing resource value, and then find the nearest surplus area P with the clean resource position of the shortage area Q as the center; c32, and compare the missing resource value with the excess resource value in the surplus area P; c33. If the value of the missing resources is less than the value of the extra resources in the surplus area P, the resources can be scheduled and transmitted based on the surplus area P. If the value of the missing resources is greater than the value of the extra resources in the surplus area P, the nearest surplus area other than the first surplus area P is searched with the clean resource position of the insufficient area Q as the center, and the comparison is performed according to the operation of c32 until the resource scheduling and balancing operation of the insufficient area Q is completed; c34. When the distance between the insufficient area Q and the dispatched surplus area is far from the distance between the insufficient area Q and the power grid supply area, the power supply is dispatched directly through the power grid supply area; The calculation method of the missing resource value in the c31 operation is: r ₁ =V ₁ -U ₁ ; r ₁ is the value of the resource missing in the insufficient area Q; The calculation formula for the excess resource value of the surplus area P is: r ₂ =U ₂ -V ₂ ; r ₂ is the excess resource value in the surplus area P, U ₂ is the total amount of resources generated during the period in the surplus area, and V ₂ is the total amount of real-time resources consumed by the power-consuming equipment; The calculation formula for the coverage radius _S1 and _S2 in B2 is: _w1 is the value of electric energy generated by the first clean resource, _w2 is the value of electric energy generated by the second clean resource, and h is the distance between _O1 and _O2 of the first clean resource and the second clean resource; S ₂ =hS ₁ ; The operation of adjusting the instruction according to the actual situation in A3 is: a31. After the scheduling operation is completed during one cycle, different regions will perform new scheduling operations synchronously as the next cycle changes; a32. During the scheduling process, not only the resource value difference in the current cycle is calculated, but also the resource value surplus of the previous cycle is accumulated; a33. Finally, the combined resource values are used to perform scheduling operations on the insufficient area Q.