A power grid management method that makes full use of new energy

Abstract

The application provides a power grid management method which fully utilizes new energy, is based on a management system which is composed of a power supply subsystem, a tie line gating subsystem, a control subsystem and a load subsystem, utilizes the period matching and new energy utilization maximization principle preferentially, completes the service mapping of the first round of the load subsystem, then pairs the remaining load subsystem based on the period complement principle, and finally completes the service mapping of the paired load subsystem based on the traditional power supply subsystem cost minimization principle, effectively optimizes the service mapping relationship between the power supply subsystem and the load subsystem, realizes the purpose of fully utilizing the new energy subsystem and effectively controlling the traditional energy subsystem, greatly improves the energy efficiency, and realizes cross-regional intelligent power distribution.

Description

[0001] This application is a divisional application, with parent application number 202010860320.X, application date August 25, 2020, and invention title: A power grid management method and system for cross-regional intelligent power distribution. Technical Field

[0002] This invention relates to the field of power, and in particular to a power grid management method that makes full use of new energy sources. Background Technology

[0003] Electricity, as a clean and efficient energy source, is widely used in all aspects of human life, such as lighting, production, transportation, and communication. With the rapid development of the power industry, power systems are becoming increasingly intelligent, thereby improving the scientific management of power systems and making more rational and full use of electricity to serve various industries.

[0004] Currently, due to the decentralized strategy of urbanization, electricity consumption characteristics are geographically dispersed and time-staggered, which brings some challenges to the design of power supply systems. The most significant problem is that the number of power grid subsystems has increased, but due to insufficient information sharing between power grid subsystems and load subsystems, multiple power grid subsystems operate in parallel for a long time, resulting in low energy efficiency and economic efficiency.

[0005] However, existing technologies have not proposed effective solutions to the above situations. Therefore, how to integrate load and power grid subsystems through information collection, information analysis, extraction of power supply characteristics and load characteristics, reduce the number of power grid subsystems, and increase the service share of new energy power grids is an efficient smart grid management measure and a problem that existing technologies need to solve. Summary of the Invention

[0006] This invention provides a power grid management method and system that fully utilizes new energy sources, which is used to optimize the service relationship between the power supply subsystem and the load subsystem, make full use of new energy sources, effectively reduce the proportion of energy-consuming power supply subsystems, and improve energy efficiency.

[0007] The technical solution to the technical problem to be solved by this invention is:

[0008] This invention provides a power grid management method that fully utilizes new energy sources. It is based on a management system consisting of a power source subsystem, a tie-line selection subsystem, a control subsystem, and a load subsystem. The specific steps are as follows:

[0009] Step 1: The control subsystem receives characteristic information reported by the power supply subsystem and the load subsystem;

[0010] Step 2: Based on the above characteristic information, the control subsystem divides the power supply subsystem into a new energy power supply subsystem and a traditional energy power supply subsystem;

[0011] Step 3: The control subsystem divides the new energy power supply subsystem and the load subsystem into group W according to the power supply time information of the new energy power supply subsystem. Members belonging to the same group have the same power supply or power consumption time.

[0012] Step 4: The control subsystem sequentially maps the service relationships of the power subsystems and load subsystems within each group according to Rule 1 to obtain the mapping relationship NewMapRelation;

[0013] Step 5: The control subsystem performs pairing processing on the load subsystems that could not complete the service relationship mapping in step 4 according to rule 2 to obtain pairing information MapPairInf;

[0014] Step 6: The control subsystem completes the service relationship mapping between the traditional power supply subsystem and MapPairInf members according to rule 3 to obtain the mapping relationship TraditionMapRelation;

[0015] Step 7: The control subsystem configures the tie-line gating subsystem to operate according to the mapping relationship between NewMapRelation and TraditionMapRelation;

[0016] Rule 1 is the principle of time period matching and maximizing the utilization of new energy sources; Rule 2 is the principle of time period complementarity; and Rule 3 is the principle of minimizing the cost of traditional power supply subsystems.

[0017] Preferably, in step 1, the characteristic information of the power supply subsystem includes at least an energy type indication, a power supply period indication, and a power supply quantity indication; the characteristic information of the load subsystem includes at least an electricity consumption period indication and a power consumption quantity indication.

[0018] Preferably, in step 3, if the power consumption period of the load subsystem is not within the power supply period of the new energy power supply subsystem, it will not be assigned to any group.

[0019] Preferably, in step 4, assuming the new energy subsystem is named NewEnergySource i,j, where i = 1, ..., MaxTimeTypeNewEnergy (MaxTimeTypeNewEnergy represents the maximum number of time periods for the new energy subsystem); j = 1, ..., MaxNewEnergySource i (MaxNewEnergySource i represents the maximum number of new energy subsystems in time period i, and j takes values ​​1, ..., MaxNewEnergySource i, representing power supply from smallest to largest); and each load subsystem grouped to each new energy subsystem is named Load i,h, where i has the same meaning as above, and h = 1, ..., MaxLoad i (MaxLoad i represents the maximum number of load subsystems grouped to the new energy subsystem in time period i, and h takes values ​​1, ..., MaxLoad i, representing energy demand from largest to smallest), then rule one is:

[0020] Step 4.1: Select a time period k from i=1, ..., MaxTimeTypeNewEnergy that has not yet completed load allocation;

[0021] Step 4.2: From NewEnergySource k,j, select one new energy subsystem f that has not yet completed load allocation, sequentially from j=1, ..., MaxNewEnergySource k;

[0022] Step 4.3: Based on Load k,h, find the load subsystems with the largest number and total load not exceeding NewEnergySource k,f from the load subsystems that are not mapped to a specific new energy subsystem in the order of h=1,...,MaxLoad k. The mapping relationship between the load subsystems and the new energy subsystem NewEnergySource k,f constitutes NewMapRelation k.

[0023] Based on multiple iterations of steps 4.1 to 4.3, until the load subsystem is mapped and / or the new energy subsystem is mapped, the relationship mapping between all new energy subsystems and the load subsystems they serve is completed, resulting in NewMapRelation k, where k = 1, ..., MaxTimeTypeNewEnergy.

[0024] Preferably, in step 5, the method of rule two is as follows:

[0025] Step 5.1: Filter out all load subsystems except those that have been mapped in Step 4 to obtain the remaining load subsystem subset Q1. Select the load subsystems that do not operate during all hours in Q1 to obtain the load subsystem subset Q2.

[0026] Step 5.2: Divide Q2 into F subsets Q2_i according to the time period characteristics, where i = 1, ..., F, and F represents the number of subsets of Q2. Each subset represents a time period in a non-full-time period.

[0027] Step 5.3: Sort the load demand in each of the F subsets in Q2 from high to low, and calculate the total load of each subset;

[0028] Step 5.4: Using the load sum with the smallest total load as a reference (let's say Q2_t), select the load subsystem subset R_i (i not equal to t, R_i is a subset of Q2_i) whose total load sum is closest to and does not exceed Q2_t from Q2_i (i not equal to t). Then, determine Q2_t and R_i (i not equal to t) as a pairing group. The total load sum of Q2_t is the total load sum of the pairing group.

[0029] Step 5.5: Delete Q2_t and R_i (i is not equal to t) from Q2_i to obtain a new Q2_i. If Q2_i is empty, the pairing ends; otherwise, go to step 5.1 and continue the next round of pairing iteration.

[0030] Based on multiple iterations from steps 5.1 to 5.3, the iteration is completed until Q2_i is empty in step 5.5, resulting in the set of pairing groups MapPairInf.

[0031] Preferably, in step 6, the method of rule three is as follows:

[0032] Step 6.1: Each element in the pairing group set MapPairInf determined in step 5 is treated as a load subsystem, and then summarized with the load subsystems for all time periods. The subsystems are sorted from high to low according to load demand to obtain the load subsystem set Y.

[0033] Step 6.2: Sort the traditional energy subsystems in order of increasing power supply capacity;

[0034] Step 6.3: Based on Rule 1, complete the service mapping between the traditional energy subsystem and the load subsystem set Y.

[0035] Preferably, in step 7, after determining the gating relationship, the control subsystem configures the tie-line gating subsystem to work according to the mapping relationship between NewMapRelation and TraditionMapRelation. At the same time, it configures the new energy subsystem and traditional energy subsystem that have not been gated to enter a low-power mode.

[0036] The beneficial effects of this invention are as follows:

[0037] Compared with existing technologies, the present invention has the following advantages and beneficial effects: By adopting the method of the present invention, the service mapping of the first load subsystem is completed by prioritizing the use of time period matching and the principle of maximizing the utilization of new energy sources. Then, the remaining load subsystems are paired based on the principle of time period complementarity. Finally, the service mapping of the paired load subsystems is completed based on the principle of minimizing the cost of the traditional power supply subsystem. This effectively optimizes the service mapping relationship between the power supply subsystem and the load subsystem, realizes the goal of fully utilizing the new energy subsystem and effectively controlling the traditional energy subsystem, greatly improves energy efficiency, and realizes intelligent cross-regional power distribution. Attached Figure Description

[0038] Figure 1 This is a schematic diagram of a power grid management method that fully utilizes new energy sources.

[0039] Figure 2 This is a schematic diagram of a power grid management system for intelligent cross-regional power distribution. Detailed Implementation

[0040] To make the technical solution and beneficial effects of the present invention clearer, the embodiments of the invention are explained in further detail below. However, the exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; on the contrary, these embodiments are provided to make this application more comprehensive and complete, and to fully convey the concept of the exemplary embodiments to those skilled in the art.

[0041] like Figure 1 As shown, this application provides a power grid management method that fully utilizes new energy sources based on the above system. The specific steps are as follows:

[0042] Step 1: The control subsystem receives characteristic information reported by the power supply subsystem and the load subsystem;

[0043] Step 2: Based on the above characteristic information, the control subsystem divides the power supply subsystem into a new energy power supply subsystem and a traditional energy power supply subsystem;

[0044] Step 3: The control subsystem divides the new energy power supply subsystem and the load subsystem into group W according to the power supply time information of the new energy power supply subsystem. Members belonging to the same group have the same power supply or power consumption time.

[0045] Step 4: The control subsystem sequentially maps the service relationships of the power subsystems and load subsystems within each group according to Rule 1 to obtain the mapping relationship NewMapRelation;

[0046] Step 5: The control subsystem performs pairing processing on the load subsystems that could not complete the service relationship mapping in step 4 according to rule 2 to obtain pairing information MapPairInf;

[0047] Step 6: The control subsystem completes the service relationship mapping between the traditional power supply subsystem and MapPairInf members according to rule 3 to obtain the mapping relationship TraditionMapRelation;

[0048] Step 7: The control subsystem configures the tie-line gating subsystem to operate according to the mapping relationship between NewMapRelation and TraditionMapRelation.

[0049] In step 1, the characteristic information of the power supply subsystem includes at least energy type indication, power supply period indication, and power supply quantity indication; the characteristic information of the load subsystem includes at least power consumption period indication and power consumption quantity indication.

[0050] In step 3, if the power consumption period of the load subsystem is not within the power supply period of the new energy power supply subsystem, it will not be assigned to any group.

[0051] In step 4, assuming the new energy subsystems are named NewEnergySource i,j, where i = 1, ..., MaxTimeTypeNewEnergy (MaxTimeTypeNewEnergy represents the maximum number of time periods for the new energy subsystems); j = 1, ..., MaxNewEnergySource i (MaxNewEnergySource i represents the maximum number of new energy subsystems in time period i, and j takes values ​​1, ..., MaxNewEnergySource i, representing power supply from smallest to largest); and the load subsystems grouped to each new energy subsystem are named Load i,h, where i has the same meaning as above, and h = 1, ..., MaxLoad i (MaxLoad i represents the maximum number of load subsystems grouped to the new energy subsystems in time period i, and h takes values ​​1, ..., MaxLoad i, representing energy demand from largest to smallest), then rule one is:

[0052] Step 4.1: Select a time period k from i=1, ..., MaxTimeTypeNewEnergy that has not yet completed load allocation;

[0053] Step 4.2: From NewEnergySource k,j, select one new energy subsystem f that has not yet completed load allocation, sequentially from j=1, ..., MaxNewEnergySource k;

[0054] Step 4.3: Based on Load k,h, find the load subsystems with the largest number and total load not exceeding NewEnergySource k,f from the load subsystems that are not mapped to a specific new energy subsystem in the order of h=1,...,MaxLoad k. The mapping relationship between the load subsystems and the new energy subsystem NewEnergySource k,f constitutes NewMapRelation k.

[0055] Based on multiple iterations of steps 4.1 to 4.3, until the load subsystem is mapped and / or the new energy subsystem is mapped, the relationship mapping between all new energy subsystems and the load subsystems they serve is completed, resulting in NewMapRelation k, where k = 1, ..., MaxTimeTypeNewEnergy.

[0056] In step 5, the method of rule two is as follows:

[0057] Step 5.1: Filter out all load subsystems except those that have been mapped in Step 4 to obtain the remaining load subsystem subset Q1. Select the load subsystems that do not operate during all hours in Q1 to obtain the load subsystem subset Q2.

[0058] Step 5.2: Divide Q2 into F subsets Q2_i according to the time period characteristics, where i = 1, ..., F, and F represents the number of subsets of Q2. Each subset represents a time period in a non-full-time period.

[0059] Step 5.3: Sort the load demand in each of the F subsets in Q2 from high to low, and calculate the total load of each subset;

[0060] Step 5.4: Using the load sum with the smallest total load as a reference (let's say Q2_t), select the load subsystem subset R_i (i not equal to t, R_i is a subset of Q2_i) whose total load sum is closest to and does not exceed Q2_t from Q2_i (i not equal to t). Then, determine Q2_t and R_i (i not equal to t) as a pairing group. The total load sum of Q2_t is the total load sum of the pairing group.

[0061] Step 5.5: Delete Q2_t and R_i (i is not equal to t) from Q2_i to obtain a new Q2_i. If Q2_i is empty, the pairing ends; otherwise, go to step 5.1 and continue the next round of pairing iteration.

[0062] Based on multiple iterations from steps 5.1 to 5.3, the iteration is completed until Q2_i is empty in step 5.5, resulting in the set of pairing groups MapPairInf.

[0063] In step 6, the method of rule three is as follows:

[0064] Step 6.1: Each element in the pairing group set MapPairInf determined in step 5 is treated as a load subsystem, and then summarized with the load subsystems for all time periods. The subsystems are sorted from high to low according to load demand to obtain the load subsystem set Y.

[0065] Step 6.2: Sort the traditional energy subsystems in order of increasing power supply capacity;

[0066] Step 6.3: Based on Rule 1, complete the service mapping between the traditional energy subsystem and the load subsystem set Y. In Step 7, after determining the gating relationship, the control subsystem configures the tie-line gating subsystem to operate according to the mapping relationship between NewMapRelation and TraditionMapRelation. Simultaneously, it configures the ungated new energy subsystems and traditional energy subsystems to enter low-power mode.

[0067] like Figure 2 As shown, this application provides a grid management system for cross-regional intelligent power distribution, comprising: a power supply subsystem, a tie-line selection subsystem, a control subsystem, and a load subsystem. The functions of each subsystem are as follows:

[0068] Power supply subsystem: This subsystem is responsible for reporting characteristic information to the control subsystem and providing power supply;

[0069] Tie line gating subsystem: This subsystem completes the gating of the connection relationship between the power supply subsystem and the load subsystem according to the gating configuration of the control subsystem;

[0070] Control Subsystem: This subsystem determines the gating rules based on the characteristic information reported by the load subsystem and the power supply subsystem, and then based on rules one, two, and three, and configures them to the tie line gating subsystem, and controls the power supply subsystems that are not gated to enter the low power mode.

[0071] Load subsystem: This subsystem is responsible for reporting characteristic information to the control subsystem and acts as the general agent for energy consumption in the area it serves.

[0072] The following specific examples describe a detailed implementation of a grid management system for cross-regional intelligent power distribution:

[0073] like Figure 1 As shown, in this embodiment, the power supply subsystem includes: a new energy power supply subsystem_daytime (comprising three power supply subsystems, numbered sequentially as New Energy Power Supply Subsystem_Daytime 1, 2, and 3, see Table 1 for details) and a new energy power supply subsystem_nighttime (comprising two power supply subsystems, numbered sequentially as New Energy Power Supply Subsystem_Nighttime 1 and 2, see Table 1 for details).

[0074] Table 2) Traditional Energy Power Supply Subsystem_All Day (including two power supply subsystems, numbered sequentially as Traditional Energy Power Supply Subsystem_All Day 1 and 2, see Table 3 for details). Load subsystems include: Load Subsystem_Daytime (including eight load subsystems, numbered sequentially as Load Subsystem_Daytime 1, 2, 3, 4, 5, 6, 7, 8, see Table 4 for details), Load Subsystem_Nighttime (including three load subsystems, numbered sequentially as Load Subsystem_Nighttime 1, 2, 3, see Table 5 for details), and Load Subsystem_All Daytime (including three load subsystems, numbered sequentially as Load Subsystem_All Day 1, 2, 3, see Table 6 for details). According to this invention, the control subsystem receives characteristic information reported by the power supply subsystem and the load subsystem, and then divides the power supply subsystem into a new energy power supply subsystem and a traditional energy power supply subsystem based on the characteristic information. Next, the control subsystem divides the new energy power supply subsystem and the load subsystem into two groups according to the power supply time information of the new energy power supply subsystem (in this embodiment, this includes two time periods: daytime and nighttime), namely, the daytime group and the nighttime group, as detailed in Table 7. Then, according to rule one, the service relationship mapping is completed to obtain the mapping relationship NewMapRelation, as detailed in Table 8 under "New Energy Power Supply Subsystem". In this embodiment, we can see that the non-full-day load subsystems, including load subsystems _daytime_4 and 8, and load subsystem _nighttime_2, are not mapped to the corresponding new energy subsystems. Next, the non-full-day load subsystems are paired, specifically load subsystems _daytime_4 and 8, and load subsystem _nighttime_2. According to rule two, the pairing information MapPairInf is obtained, resulting in pairing group 1: {load subsystem _daytime_4, load subsystem _nighttime_2}, with a power consumption of 900; and pairing group 2: {load subsystem _daytime_8}, with a power consumption of 200. Following this, the control subsystem completes the service relationship mapping between the traditional power supply subsystem and MapPairInf members according to rule three, obtaining the mapping relationship TraditionMapRelation, as detailed in the "Traditional Power Supply Subsystem" section of Table 8. Finally, the control subsystem configures the tie-line gating subsystem to operate according to the mapping relationships NewMapRelation and TraditionMapRelation, i.e., according to...

[0075] The mapping relationship between the power supply subsystem and the load subsystem in Table 8 is used to select tie lines, thereby completing a cross-regional intelligent power distribution and configuration management.

[0076] As can be seen from this embodiment:

[0077] The total load demand of the load subsystem is:

[0078] 2300+1300+900+800+600+400+300+200+1000+900+400+1900+1200+600=12800;

[0079] The power supply of the new energy power subsystem is: 1000+2000+3000+500+1000=7500;

[0080] The electrical energy required by the traditional energy power supply subsystem is: 2000 + 3000 = 5000;

[0081] The load served by the new energy power subsystem is: 2300+1300+900+600+400+300+1000+400=7200;

[0082] The energy utilization rate of the new energy power subsystem reached: 7200 / 7500 = 96%;

[0083] The proportion of electricity served by the new energy power subsystem to the total electricity demand is: 7200 / 12800 = 56.25%;

[0084] Energy saved by time-slot pairing: (800+900+200)-(900+200)=800, and energy saved by traditional energy sources: 800 / 5000=16%.

[0085] The data above shows that the cross-regional intelligent power distribution management method of the present invention brings the following advantages:

[0086] Because time period alignment and priority allocation of new energy sources are taken into account, new energy sources can be fully utilized and their utilization efficiency can be guaranteed (the utilization rate of new energy sources in this embodiment reaches 96%; if the existing approach is adopted without considering time period alignment, the power supply subsystem side budget needs to fill the entire time period to meet the power supply demand of the load subsystem. If the power supply budget is distributed proportionally according to each time period, the power supply budget needs to be doubled, that is, the utilization rate of new energy power is only half of that of this invention).

[0087] By adopting time-time complementary pairing, the intelligent management of power is greatly improved, accurate accounting is achieved, and the merging of load subsystems with complementary characteristics is effectively realized, thereby saving traditional energy costs. This embodiment improves efficiency by 16% compared with the prior art.

[0088] Based on the principle of prioritizing matching the smallest power source with the largest load, the system effectively allocates loads of all sizes, minimizing the cost of the traditional power supply subsystem.

[0089] Therefore, as can be seen from the above embodiments, by adopting the method of the present invention, the service mapping of the first load subsystem is completed by prioritizing the use of time period matching and the principle of maximizing the utilization of new energy. Then, the remaining load subsystems are paired based on the principle of time period complementarity. Finally, the service mapping of the paired load subsystems is completed based on the principle of minimizing the cost of the traditional power supply subsystem. This effectively optimizes the service mapping relationship between the power supply subsystem and the load subsystem, realizes the goal of fully utilizing the new energy subsystem and effectively controlling the traditional energy subsystem, greatly improves energy efficiency, and achieves intelligent cross-regional power distribution.

[0090] Table 1 New Energy Power Subsystem - Daytime

[0091] New Energy Power Subsystem - Daytime Number Power supply New Energy Power Subsystem_Daytime_1 1000 New Energy Power Subsystem_Daytime_2 2000 New Energy Power Subsystem_Daytime_3 3000

[0092] Table 2 New Energy Power Supply Subsystem_Evening

[0093] New Energy Power Subsystem - Evening Number Power supply New Energy Power Subsystem_Evening_1 500 New Energy Power Subsystem_Evening_2 1000

[0094] Table 3 Traditional Energy Power Supply Subsystem_All Day

[0095] Traditional energy power supply subsystem_All day number Power supply Traditional energy power supply subsystem_All day_1 2000 Traditional energy power supply subsystem_All day_2 3000

[0096] Table 4 Load Subsystem - Daytime

[0097]

[0098]

[0099] Table 5 Load Subsystem - Evening

[0100] Load Subsystem_Evening Number Electricity demand Load Subsystem_Evening_1 1000 Load Subsystem_Evening_2 900 Load Subsystem_Evening_3 400

[0101] Table 6 Load Subsystem_All Day

[0102] Load Subsystem_All Day Number Electricity demand Load Subsystem_All Day_1 1900 Load Subsystem_All Day_2 1200 Load Subsystem_All Day_3 600

[0103] Table 7 Grouping of New Energy Power Supply Subsystems

[0104]

[0105]

[0106] Table 8 Connection Line Selection Relationships

[0107]

[0108]

[0109] In summary, the above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of the invention. Based on the above description, those skilled in the art can make various changes and modifications without departing from the inventive concept. The technical scope of the present invention is not limited to the contents of the specification; all equivalent variations and modifications of the shape, structure, features, and spirit described within the scope of the claims should be included within the scope of the claims.

Claims

1. A power grid management method that fully utilizes new energy sources, characterized in that... Based on a management system consisting of a power supply subsystem, a tie-line gating subsystem, a control subsystem, and a load subsystem, the specific steps are as follows: Step 1: The control subsystem receives characteristic information reported by the power supply subsystem and the load subsystem; Step 2: Based on the above characteristic information, the control subsystem divides the power supply subsystem into a new energy power supply subsystem and a traditional energy power supply subsystem; Step 3: The control subsystem divides the new energy power supply subsystem and the load subsystem into group W according to the power supply time information of the new energy power supply subsystem. Members belonging to the same group have the same power supply or power consumption time. Step 4: The control subsystem sequentially maps the service relationships of the power subsystems and load subsystems within each group according to Rule 1 to obtain the mapping relationship NewMapRelation; Step 5: The control subsystem performs pairing processing on the load subsystems that could not complete the service relationship mapping in step 4 according to rule 2 to obtain pairing information MapPairInf; Step 6: The control subsystem completes the service relationship mapping between the traditional power supply subsystem and MapPairInf members according to rule 3 to obtain the mapping relationship TraditionMapRelation; Step 7: The control subsystem configures the tie-line gating subsystem to operate according to the mapping relationship between NewMapRelation and TraditionMapRelation; Rule 1 is the principle of time period matching and maximizing the utilization of new energy sources; Rule 2 is the principle of time period complementarity; and Rule 3 is the principle of minimizing the cost of traditional power supply subsystems. In step 4, assuming the new energy subsystem is named NewEnergySourcei,j, where i = 1, ..., MaxTimeTypeNewEnergy (MaxTimeTypeNewEnergy represents the maximum number of time periods for the new energy subsystem); j = 1, ..., MaxNewEnergySourcei (MaxNewEnergySourcei represents the maximum number of new energy subsystems in time period i, and j takes values ​​1, ..., MaxNewEnergySourcei, representing power supply from smallest to largest); and each load subsystem grouped to each new energy subsystem is named Loadi,h, where i has the same meaning as above, and h = 1, ..., MaxLoadi (MaxLoadi represents the maximum number of load subsystems grouped to the new energy subsystem in time period i, and h takes values ​​1, ..., MaxLoadi, representing energy demand from largest to smallest), then rule one is: Step 4.1: Select a time period k from i=1, ..., MaxTimeTypeNewEnergy that has not yet completed load allocation; Step 4.2: From NewEnergySourcek,j, select a new energy subsystem f that has not yet completed load allocation, sequentially from j=1, ..., MaxNewEnergySourcek; Step 4.3: Based on Loadk,h, find the load subsystems with the largest number and total load not exceeding NewEnergySourcek,f from the load subsystems that are not mapped to a specific new energy subsystem in h=1,...,MaxLoadk. The mapping relationship between the load subsystems and the new energy subsystem NewEnergySourcek,f constitutes NewMapRelationk. Based on multiple iterations of steps 4.1 to 4.3, until the load subsystem is mapped and / or the new energy subsystem is mapped, the relationship mapping between all new energy subsystems and the load subsystems they serve is completed, resulting in NewMapRelationk, where k = 1, ..., MaxTimeTypeNewEnergy; In step 5, the method of rule two is as follows: Step 5.1: Filter out all load subsystems except those that have been mapped in Step 4 to obtain the remaining load subsystem subset Q1. Select the load subsystems that do not operate during all hours in Q1 to obtain the load subsystem subset Q2. Step 5.2: Divide Q2 into F subsets Q2_i according to the time period characteristics, where i=1,...,F, and F represents the number of subsets of Q2. Each subset represents a time period in a non-full-time period. Step 5.3: Sort the load demand in each of the F subsets in Q2 from high to low, and calculate the total load of each subset; Step 5.4: Using the load sum with the smallest total load as a reference (let's say Q2_t), select the load subsystem subset R_i (i not equal to t, R_i is a subset of Q2_i) whose total load sum is closest to and does not exceed Q2_t from Q2_i (i not equal to t). Then, determine Q2_t and R_i (i not equal to t) as a pairing group. The total load sum of Q2_t is the total load sum of the pairing group. Step 5.5: Delete Q2_t and R_i (i is not equal to t) from Q2_i to obtain a new Q2_i. If Q2_i is empty, the pairing ends; otherwise, go to step 5.1 and continue the next round of pairing iteration. Based on multiple iterations from steps 5.1 to 5.3, the iteration is completed until Q2_i is empty in step 5.5, and the pairing group set MapPairInf is obtained. In step 6, the method of rule three is as follows: Step 6.1: Each element in the pairing group set MapPairInf determined in step 5 is treated as a load subsystem, and then summarized with the load subsystems for all time periods. The subsystems are sorted from high to low according to load demand to obtain the load subsystem set Y. Step 6.2: Sort the traditional energy subsystems in order of increasing power supply capacity; Step 6.3: Based on Rule 1, complete the service mapping between the traditional energy subsystem and the load subsystem set Y; Part-time work refers to working outside of the full day.

2. The power grid management method for fully utilizing new energy sources according to claim 1, characterized in that: In step 1, the characteristic information of the power supply subsystem includes at least energy type indication, power supply period indication, and power supply quantity indication; the characteristic information of the load subsystem includes at least power consumption period indication and power consumption quantity indication.

3. The power grid management method for fully utilizing new energy sources according to claim 1, characterized in that: In step 3, if the power consumption period of the load subsystem is not within the power supply period of the new energy power supply subsystem, it will not be assigned to any group.

4. A power grid management method for fully utilizing new energy sources according to claim 1, characterized in that: In step 7, after determining the gating relationship, the control subsystem configures the tie-line gating subsystem to work according to the mapping relationship between NewMapRelation and TraditionMapRelation. At the same time, it configures the new energy subsystem and traditional energy subsystem that have not been gated to enter the low power consumption mode.

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