Micro-grid energy management optimization method and system in distribution micro-grid collaborative interaction scene

Abstract

The invention relates to a micro-grid energy management optimization method and system in a power distribution and micro-grid cooperative interaction scene, and relates to the technical field of power grid adjustment and distribution, and the method comprises the steps: building a power utilization data collection base, carrying out the monitoring of the power utilization data of a main power grid and a micro-grid, and analyzing the power utilization merchant information of a conventional power utilization load and a novel power utilization load; performing analysis based on the power consumption merchant information to determine a power consumption sequence and a power consumption load priority in the power consumption merchant information; sending an automatic allocation instruction to a preset power distribution coordination system according to the power utilization load priority and the power utilization sequence, and calculating an electric energy allocation balance coefficient; and performing electric energy allocation based on the automatic allocation instruction, and when the electric energy allocation balance coefficient is smaller than a preset good balance allocation coefficient, sending an electric energy interaction management instruction. According to the invention, the interaction cooperation capability between the micro-grid and different power distribution network ends is improved, and the electric energy allocation balance effect is improved.

Description

Technical Field

[0001] The present application relates to the technical field of power grid regulation and distribution, and in particular to a method and system for optimizing energy management of a microgrid in a scenario of coordinated interaction between power distribution and microgrid. Background Art

[0002] The modern smart distribution network is a key area of ​​the new power system and the main link facing end users. It is a distribution platform that connects a large number of distributed power sources, energy storage, charging piles, etc. When distributing energy, it is necessary to control and adjust the spatiotemporal complementarity of multiple complex elements to form coordinated fine-tuning control between large power grids, distribution networks and microgrids.

[0003] In the related technology, when a microgrid is connected to a distribution network as a controllable entity and operates in grid connection, the microgrid and the distribution network are coordinated through the corresponding power electronic conversion device, which can meet the local users' demand for power quality and ensure the reliable operation of important loads.

[0004] Regarding the above-mentioned related technologies, users in different regions have different electricity load conditions, and the grid load conditions at different times will produce different peak fluctuations, which makes the microgrid lack the same distribution interaction and coordination in the process of energy allocation management, and the allocation and balance effect of electricity is not good. Summary of the invention

[0005] In order to improve the interactive and collaborative capabilities between microgrids and different distribution network terminals and to improve the power allocation and balancing effect, the present application provides a microgrid energy management optimization method and system in a distribution and micro-cooperative interactive scenario. A microgrid energy management optimization method and system in a distribution and micro-cooperative interactive scenario.

[0006] In the first aspect, the present application provides a method for optimizing energy management of a microgrid in a scenario of coordinated interaction between power distribution and microgrid, which adopts the following technical solution: A microgrid energy management optimization method in a distribution-microgrid collaborative interaction scenario, comprising: Establish an electricity consumption data collection base to monitor the electricity consumption data of the main grid and microgrid, and analyze the electricity consumption merchant information of conventional electricity loads and new electricity loads. The conventional electricity loads include large industrial electricity, commercial electricity, residential electricity and distributed power supply electricity loads, and the new electricity loads include charging pile electricity loads and energy storage electricity loads; Analyze the electricity consumption order and electricity load priority in the electricity consumption information based on the electricity consumption information of the electricity consumption merchants; Send automatic dispatch instructions to the preset power distribution coordination system according to the power load priority and power consumption sequence, and calculate the power dispatch balance coefficient; Electric energy is allocated based on the automatic allocation instruction, and when the electric energy allocation balance coefficient is less than the preset good balance allocation coefficient, an electric energy interaction management instruction is sent.

[0007] Optionally, the following formula is used to calculate the power allocation balance coefficient: ; in, It represents the comprehensive electric energy dispatch balance coefficient, which is used to reflect the total coefficient of the electric energy dispatch balance of the microgrid under comprehensive factors; It represents the power supply and demand balance coefficient, which is used to measure the overall balance between the power supply and power demand of the microgrid in the corresponding period; Represents the energy storage regulation balance coefficient, which is used to evaluate the effectiveness of the energy storage system in regulating the balance of electric energy; It represents the power output matching coefficient, which is used to reflect the matching degree between the power generation output of distributed power source and the load demand in microgrid at different time periods; in addition, Represents the weight value of the power supply and demand balance coefficient, Represents the weight value of the energy storage regulation balance coefficient, Indicates the weight value of the power processing matching factor.

[0008] Optionally, the calculation of the power supply and demand balance coefficient includes: Calculate using a preset electric energy supply and demand balance coefficient calculation formula to determine the electric energy supply and demand balance coefficient; Based on the comparison between the power supply and demand balance coefficient and the preset benchmark balance coefficient, it is determined whether to issue a power surplus reminder or a power shortage reminder; Feedback and adjust the power supply and demand according to the power surplus or power shortage prompts; The calculation formula of the power supply and demand balance coefficient is as follows: ; ; in, represents the balance coefficient of electricity supply and demand, represents the sum of the power generated by all distributed generation sources at time t, represents the total load power demand in the microgrid at time t, represents the charging and discharging power of the energy storage system at time t, represents the power exchange between the microgrid and the external main grid at time t, Represents the total power supply of the microgrid at time t.

[0009] Optionally, the calculation of the energy storage regulation balance coefficient includes: Calculate using a preset energy storage regulation balance coefficient calculation formula to determine the energy storage regulation balance coefficient; When the energy storage regulation balance coefficient is within the preset surplus allocation interval value, the preset distribution coordination system is instructed to balance the distribution output power; The energy storage adjustment balance coefficient calculation formula is as follows: ; ; in, represents the energy storage regulation balance coefficient, It represents the charging and discharging power of the energy storage system at time t. Its absolute value represents the power size of the energy storage system involved in regulation. It represents the unbalanced power between the microgrid power supply and demand at time t, and T represents the total number of statistical time periods.

[0010] Optionally, the power output matching coefficient is calculated including: The power output matching coefficient is calculated using a preset power output matching coefficient calculation formula to determine the power output matching coefficient. The power output matching coefficient calculation formula is as follows: ; Indicates the power output matching coefficient, represents the sum of the power generated by all distributed generation sources at time t, Represents the total load power demand in the microgrid at time t.

[0011] Optionally, when feedback adjustment is performed on the power supply and demand according to the power surplus prompt, it includes: Analyze whether the power supply and demand balance coefficient is less than the preset excess balance coefficient. If not, collect the power storage surplus and power consumption rate in the preset energy storage system; When the remaining electric energy storage capacity is lower than the preset upper limit of the effective utilization energy storage capacity, the actual remaining electric energy storage capacity that can be stored as the electric energy continues to be consumed is determined according to the electric energy consumption rate and the electric energy storage capacity; The electric energy supplied to the microgrid is allocated to a preset energy storage system for storage based on the actual electric energy storage surplus.

[0012] Optionally, when the electric energy supplied to the microgrid is dispatched to a preset energy storage system for storage, it also includes: Collect the charging power of the energy storage system and the discharging power of the energy storage, and analyze whether the charging power and the discharging power meet the preset charging and discharging power limit conditions; If satisfied, the charge state of the energy storage system is calculated. The charge state is calculated using the following formula: , in, Indicates the time interval, Indicates the rated capacity of the energy storage system, Indicates the maximum charging power allowed by the energy storage system. represents the charge state of the energy storage system at time t, Indicates the charge state of the energy storage system at the last moment; Compare and analyze the charge state and the limit range corresponding to the preset standard charge state, and issue a charge and discharge power adjustment instruction, the limit range is ; The charging power and discharging power of the energy storage system are feedback-regulated based on the charging and discharging power regulation instructions.

[0013] Optionally, when the electric energy supplied to the microgrid is dispatched to a preset energy storage system for storage, it also includes: Collect the load peak-valley difference and load fluctuation frequency of different microgrids for analysis to determine the charge characteristics of different microgrids; The microgrid with large load peak-to-valley difference in the charge characteristic matches the large-capacity energy storage in the preset energy storage database. When the load is in the preset low valley range, the preset energy storage is instructed to store excess electric energy. When the load is in the preset peak range, the preset energy storage is instructed to release electric energy.

[0014] Optionally, also include: Matching the corresponding charging threshold or discharging threshold in the preset charging and discharging threshold database according to the energy storage capacity; Detect the stored electrical energy of the energy storage system during charging and the released electrical energy during discharging; if the stored electrical energy is greater than the preset minimum charging threshold range, the energy storage system is instructed to charge; if the released electrical energy is greater than the preset minimum discharging threshold range, the energy storage system is instructed to discharge.

[0015] In the second aspect, the present application provides a microgrid energy management optimization system in a distribution-micro collaborative interaction scenario, which adopts the following technical solutions: A microgrid energy management optimization system in a distribution-microgrid collaborative interaction scenario, comprising: The power consumption data monitoring module establishes a power consumption data collection base to monitor the power consumption data of the main grid and microgrid, and analyzes the power consumption merchant information of conventional power loads and new power loads; The power load analysis module analyzes the power consumption order and power load priority in the power consumption merchant information based on the power consumption merchant information; The power distribution balance adjustment module sends automatic allocation instructions to the preset power distribution coordination system according to the power load priority and power consumption sequence, and calculates the power allocation balance coefficient; The interactive instruction module performs electric energy allocation based on the automatic allocation instruction, and sends an electric energy interactive management instruction when the electric energy allocation balance coefficient is less than the preset good balance allocation coefficient.

[0016] In summary, the present application includes at least one of the following beneficial technical effects: 1. By monitoring and analyzing conventional power loads and new power loads, and automatically allocating power according to the power load priority, the microgrid and the distribution end can automatically allocate power with a faster response speed. At the same time, the power allocation balance coefficient in the allocation process is analyzed and monitored. When the power allocation balance coefficient is low, the power interaction management instruction is sent to facilitate personnel to coordinate power allocation management, which helps to improve the safety of power allocation; 2. Calculate the power supply and demand balance coefficient, energy storage regulation balance coefficient and power output matching coefficient, and use them as the basis for calculating the comprehensive power allocation balance coefficient. Evaluate the power allocation balance from multiple aspects, which helps to improve the reliability of the balance coefficient evaluation; 3. Analyze the charge state of the energy storage system during the charging and discharging process, and set corresponding charging thresholds and discharging thresholds, so that the microgrid can reduce the frequent small-amplitude charging and discharging of the energy storage system when storing and collecting electric energy, thereby extending the service life of the energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a method flow chart of steps S100 to S103 in this application.

[0018] Figure 2 It is a method flow chart of steps S104 to S106 in this application.

[0019] Figure 3 It is a method flow chart of steps S200 to S202 in this application.

[0020] Figure 4 It is a method flow chart of steps S2021 to S2024 in this application.

[0021] Figure 5 It is a method flow chart of steps S2025 to S2026 in this application.

[0022] Figure 6 It is a method flow chart of steps S2027 to S2028 in this application. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1-Figure 6 It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0024] The embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings.

[0025] The embodiment of the present application discloses a microgrid energy management optimization method in a micro-grid collaborative interaction scenario. By monitoring the electricity consumption data between the main grid and the microgrid, the merchants with conventional electricity loads and new electricity loads are prioritized, so that electricity is allocated on demand, and the electricity allocation balance coefficient in the allocation process is calculated. When the allocated electricity is unbalanced, interactive instructions are sent to facilitate personnel to coordinate the allocation, which helps to improve the balance effect of electricity allocation.

[0026] Reference Figure 1 The method flow of the microgrid energy management optimization method under the scenario of micro-distribution and micro-cooperative interaction includes the following steps: Step S100: Establish an electricity consumption data collection base to monitor the electricity consumption data of the main grid and the microgrid, and analyze the electricity consumption merchant information of conventional electricity loads and new electricity loads. The conventional electricity loads include large industrial electricity, commercial electricity, residential electricity and distributed power supply electricity loads, and the new electricity loads include charging pile electricity loads and energy storage electricity loads; The power consumption data collection base is a cloud database used to collect power consumption data between the main grid and the microgrid, and collect the data to the cloud for easy analysis. The purpose of collecting and distinguishing conventional power loads and new power loads is to facilitate the subsequent corresponding power consumption sorting.

[0027] Step S101: Analyze the electricity consumption order and electricity load priority in the electricity consumption merchant information; The electricity merchant information stores the electricity usage order of different merchants and different electricity usage priorities. For example, government agencies and computer server centers that need to maintain electricity at all times need to maintain a relatively stable electricity quality and have a higher priority.

[0028] Step S102: Sending an automatic dispatching instruction to a preset power distribution coordination system according to the power load priority and power consumption sequence, and calculating the power dispatching balance coefficient; The distribution coordination system is the control system of the main body of the power grid operator, which is used to receive and respond to power allocation instructions. When an automatic allocation instruction is received, it responds to the automatic allocation instruction, automatically allocates electricity according to the needs of the microgrid, and calculates the power allocation balance coefficient at the same time.

[0029] Step S103: Perform power allocation based on the automatic allocation instruction, and send a power interaction management instruction when the power allocation balance coefficient is less than the preset good balance allocation coefficient.

[0030] The well-balanced dispatch coefficient indicates that the power dispatch supply-demand relationship between the main grid and the microgrid is in a state where the supplied power is greater than the demanded power. When the power dispatch balance coefficient is less than the well-balanced dispatch coefficient, it means that the power supply of the main grid is unbalanced, and there is an over-dispatch or under-dispatch situation. At this time, the power interactive management command is sent to receive the control command of the personnel for management and coordinated dispatch.

[0031] Among them, the following formula is used to calculate the power allocation balance coefficient: ; like Greater than or equal to 0.8, indicating that the overall power allocation of the microgrid is in a well-balanced state. The power management strategy can effectively ensure the balance of power supply and demand, reasonably utilize energy storage regulation, and optimize the output of distributed power sources under the synergistic effect of multiple aspects. The microgrid has high operation stability and power utilization efficiency. like In the range of 0.6 to 0.8, it indicates that the balance of power dispatch is at a medium level; like Less than 0.6, indicating that the microgrid power allocation balance is poor.

[0032] in, It represents the comprehensive electric energy dispatch balance coefficient, which is used to reflect the total coefficient of the electric energy dispatch balance of the microgrid under comprehensive factors; It represents the power supply and demand balance coefficient, which is used to measure the overall balance between the power supply and power demand of the microgrid in the corresponding period; Represents the energy storage regulation balance coefficient, which is used to evaluate the effectiveness of the energy storage system in regulating the balance of electric energy; It represents the power output matching coefficient, which is used to reflect the matching degree between the power generation output of distributed power source and the load demand in microgrid at different time periods; in addition, Represents the weight value of the power supply and demand balance coefficient, Represents the weight value of the energy storage regulation balance coefficient, Indicates the weight value of the power processing matching factor.

[0033] It should be noted that the weight value of the power supply and demand balance coefficient, the weight value of the energy storage regulation balance coefficient and the weight value of the power processing matching coefficient are set by personnel in advance during the test. is equal to 0.4, is equal to 0.3, Take 0.3 as an example for calculation.

[0034] Reference Figure 2 , the calculation of the electricity supply and demand balance coefficient includes: Calculate using a preset electric energy supply and demand balance coefficient calculation formula to determine the electric energy supply and demand balance coefficient; Step S104: determining whether to issue an energy surplus reminder or an energy shortage reminder based on a comparison between the energy supply and demand balance coefficient and a preset reference balance coefficient; The benchmark balance coefficient represents the coefficient at which the electricity supply and demand relationship tends to be equal. By comparing the coefficient values, when the electricity supply and demand balance coefficient is less than the benchmark balance coefficient, an electricity shortage warning signal is issued, otherwise an electricity surplus warning signal is issued.

[0035] Step S105: Feedback adjustment of power supply and demand according to the power surplus prompt or power shortage prompt; The calculation formula of the power supply and demand balance coefficient is as follows: ; ; in, represents the balance coefficient of electricity supply and demand, represents the sum of the power generated by all distributed generation sources at time t, represents the total load power demand in the microgrid at time t, represents the charging and discharging power of the energy storage system at time t, represents the power exchange between the microgrid and the external main grid at time t, Represents the total power supply of the microgrid at time t.

[0036] like Equal to 1, indicating that the power supply and demand are completely balanced. During this period, the power supply of the microgrid can just meet the power demand of all loads, and the allocation reaches the ideal state; like The value is in the range of 0.95 to 1.05, indicating that the power supply and demand are in a reasonable balance range, and the deployment strategy can basically ensure stable power supply. Although there may be a certain small surplus or gap in power, the impact on the operation of the microgrid is small; like If it is greater than 1.05, it means that there is an oversupply of electricity. If the excess electricity cannot be properly stored or transmitted, it may cause energy waste.

[0037] The calculation of energy storage regulation balance coefficient includes: Calculate using a preset energy storage regulation balance coefficient calculation formula to determine the energy storage regulation balance coefficient; Step S106: when the energy storage adjustment balance coefficient is within the preset surplus allocation interval value, instructing the preset distribution coordination system to balance the distribution output power; The distribution coordination system is a power regulation server that regulates the output power of electric energy allocation, which can be obtained by comparing the energy storage regulation balance coefficient and the surplus allocation interval value.

[0038] The energy storage adjustment balance coefficient calculation formula is as follows: ; ; in, represents the energy storage regulation balance coefficient, It represents the charging and discharging power of the energy storage system at time t. Its absolute value represents the power size of the energy storage system involved in regulation. It represents the unbalanced power between the microgrid power supply and demand at time t, and T represents the total number of statistical time periods.

[0039] like Greater than 0.8, indicating that the energy storage system plays a good role in regulating the balance of electric energy, can effectively deal with most of the imbalance of electric energy, reduce the difference between electric energy supply and demand through reasonable charging and discharging operations, and the strategy of using energy storage in electric energy dispatch management is relatively reasonable; like The range of 0.5 to 0.8 indicates that the energy storage system has played a certain regulatory role, but there is still room for improvement; like If it is less than 0.5, it means that the energy storage system contributes little to balancing the supply and demand of electricity in the current electricity allocation.

[0040] The calculation of power output matching coefficient includes: The power output matching coefficient is calculated using a preset power output matching coefficient calculation formula to determine the power output matching coefficient. The power output matching coefficient calculation formula is as follows: ; Indicates the power output matching coefficient, represents the sum of the power generated by all distributed generation sources at time t, Represents the total load power demand in the microgrid at time t.

[0041] like If it is greater than 0.8, it means that the power generation output of distributed power sources and the load demand have a high degree of matching in time distribution, and the power allocation management strategy can better combine the characteristics of distributed power sources, so that the generated power can be effectively consumed by the load, reducing power waste and insufficient supply; like It is in the range of 0.6 to 0.8, indicating that the matching degree between distributed generation and load is at a medium level; like Less than 0.6, indicating that the matching between the distributed generation output and load demand is poor.

[0042] Reference Figure 3 , when feedback adjustment is performed on power supply and demand based on power surplus prompts, it includes: Step S200: analyzing whether the electric energy supply and demand balance coefficient is less than a preset excess balance coefficient, and if not, collecting the electric energy storage margin and electric energy consumption rate in the preset energy storage system; Step S201: when the remaining electric energy storage is lower than the preset upper limit of the effective utilization energy storage, the actual remaining electric energy storage that can be stored as the electric energy continues to be consumed is determined according to the electric energy consumption rate and the remaining electric energy storage; Step S202: Based on the actual electric energy storage surplus, the electric energy supplied to the microgrid is allocated to a preset energy storage system for storage.

[0043] Reference Figure 4 , when the electric energy supplied to the microgrid is allocated to the preset energy storage system for storage, it also includes: Step S2021: collecting the charging power of the energy storage system and the discharging power of the energy storage, and analyzing whether the charging power and the discharging power meet the preset charging and discharging power limit conditions; Step S2022: If satisfied, calculate the charge state of the energy storage system.

[0044] The state of charge is calculated using the following formula: , in, Indicates the time interval, Indicates the rated capacity of the energy storage system, Indicates the maximum charging power allowed by the energy storage system. represents the charge state of the energy storage system at time t, Indicates the charge state of the energy storage system at the last moment; Step S2023: Compare and analyze the charge state and the limit range corresponding to the preset standard charge state, and issue a charge and discharge power adjustment instruction, wherein the limit range is ; Step S2024: Feedback-regulating the charging power and discharging power of the energy storage system based on the charging and discharging power regulation instructions.

[0045] Reference Figure 5 , when the electric energy supplied to the microgrid is allocated to the preset energy storage system for storage, it also includes: Step S2025: collecting load peak-to-valley differences and load fluctuation frequencies of different microgrids for analysis to determine charge characteristics of different microgrids; Step S2026: Match the large-capacity energy storage in the preset energy storage database with the microgrid having a large load peak-to-valley difference in the charge characteristic, instruct the preset energy storage to store excess electric energy when the load is in the preset low valley range, and instruct the preset energy storage to release electric energy when the load is in the preset high peak range.

[0046] Reference Figure 5 , also includes: Step S2027: Matching the corresponding charging threshold or discharging threshold in the preset charging and discharging threshold database according to the energy storage capacity; Step S2028: Detect the stored electrical energy of the energy storage system during charging and the released electrical energy during discharging; if the stored electrical energy is greater than a preset minimum charging threshold range, instruct the energy storage system to charge; if the released electrical energy is greater than a preset minimum discharging threshold range, instruct the energy storage system to discharge.

[0047] Based on the same inventive concept, an embodiment of the present invention provides a microgrid energy management optimization system in a distribution-microgrid collaborative interaction scenario, including: The power consumption data monitoring module establishes a power consumption data collection base to monitor the power consumption data of the main grid and microgrid, and analyzes the power consumption merchant information of conventional power loads and new power loads; The power load analysis module analyzes the power consumption order and power load priority in the power consumption merchant information based on the power consumption merchant information; The power distribution balance adjustment module sends automatic allocation instructions to the preset power distribution coordination system according to the power load priority and power consumption sequence, and calculates the power allocation balance coefficient; The interactive instruction module performs electric energy allocation based on the automatic allocation instruction, and sends an electric energy interactive management instruction when the electric energy allocation balance coefficient is less than the preset good balance allocation coefficient.

[0048] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0049] An embodiment of the present invention provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed by a microgrid energy management optimization method in a distribution-micro collaborative interaction scenario.

[0050] Computer storage media include, for example, various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0051] Based on the same inventive concept, an embodiment of the present invention provides an intelligent terminal, including a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executes a microgrid energy management optimization method in a distribution-micro collaborative interaction scenario.

[0052] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0053] The above are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Any feature disclosed in this specification (including the abstract and drawings), unless otherwise stated, can be replaced by other equivalent or alternative features with similar purposes. That is, unless otherwise stated, each feature is only an example of a series of equivalent or similar features.

Claims

1. A microgrid energy management optimization method in a distribution-microgrid collaborative interaction scenario, characterized in that: include: Establish an electricity consumption data collection base to monitor the electricity consumption data of the main grid and microgrid, and analyze the electricity consumption merchant information of conventional electricity loads and new electricity loads. The conventional electricity loads include large industrial electricity, commercial electricity, residential electricity and distributed power supply electricity loads, and the new electricity loads include charging pile electricity loads and energy storage electricity loads; Analyze the electricity consumption order and electricity load priority in the electricity consumption information based on the electricity consumption information of the electricity consumption merchants; Send automatic dispatch instructions to the preset power distribution coordination system according to the power load priority and power consumption sequence, and calculate the power dispatch balance coefficient; Electric energy is allocated based on the automatic allocation instruction, and when the electric energy allocation balance coefficient is less than the preset good balance allocation coefficient, an electric energy interaction management instruction is sent.

2. According to the method for optimizing energy management of a microgrid in a distribution-microgrid collaborative interaction scenario according to claim 1, it is characterized in that: When calculating the power allocation balance coefficient, the following formula is used: ； in, It represents the comprehensive electric energy dispatch balance coefficient, which is used to reflect the total coefficient of the electric energy dispatch balance of the microgrid under comprehensive factors; It represents the power supply and demand balance coefficient, which is used to measure the overall balance between the power supply and power demand of the microgrid in the corresponding period; Represents the energy storage regulation balance coefficient, which is used to evaluate the effectiveness of the energy storage system in regulating the balance of electric energy; It represents the power output matching coefficient, which is used to reflect the matching degree between the power generation output of distributed power source and the load demand in microgrid at different time periods; in addition, Represents the weight value of the power supply and demand balance coefficient, Represents the weight value of the energy storage regulation balance coefficient, Indicates the weight value of the power processing matching factor.

3. According to the microgrid energy management optimization method in the scenario of distribution and micro-cooperation interaction according to claim 2, it is characterized in that: The calculation of the electricity supply and demand balance coefficient includes: Calculate using a preset electric energy supply and demand balance coefficient calculation formula to determine the electric energy supply and demand balance coefficient; Based on the comparison between the power supply and demand balance coefficient and the preset benchmark balance coefficient, it is determined whether to issue a power surplus reminder or a power shortage reminder; Feedback and adjust the power supply and demand according to the power surplus or power shortage prompts; The calculation formula of the power supply and demand balance coefficient is as follows: ； ； in, represents the balance coefficient of electricity supply and demand, represents the sum of the power generated by all distributed generation sources at time t, represents the total load power demand in the microgrid at time t, represents the charging and discharging power of the energy storage system at time t, represents the power exchange between the microgrid and the external main grid at time t, Represents the total power supply of the microgrid at time t.

4. According to the microgrid energy management optimization method in the scenario of distribution and micro-cooperation interaction according to claim 2, it is characterized in that: The calculation of energy storage regulation balance coefficient includes: Calculate using a preset energy storage regulation balance coefficient calculation formula to determine the energy storage regulation balance coefficient; When the energy storage regulation balance coefficient is within the preset surplus allocation interval value, the preset distribution coordination system is instructed to balance the distribution output power; The energy storage adjustment balance coefficient calculation formula is as follows: ； ； in, represents the energy storage regulation balance coefficient, It represents the charging and discharging power of the energy storage system at time t. Its absolute value represents the power size of the energy storage system involved in regulation. It represents the unbalanced power between the microgrid power supply and demand at time t, and T represents the total number of statistical time periods.

5. The microgrid energy management optimization method in a distribution-microgrid collaborative interaction scenario according to claim 2 is characterized in that: The calculation of power output matching coefficient includes: The power output matching coefficient is calculated using a preset power output matching coefficient calculation formula to determine the power output matching coefficient. The power output matching coefficient calculation formula is as follows: ； Indicates the power output matching coefficient, represents the sum of the power generated by all distributed generation sources at time t, Represents the total load power demand in the microgrid at time t.

6. The microgrid energy management optimization method in a distribution-microgrid collaborative interaction scenario according to claim 3 is characterized in that: When feedback adjustment is performed on power supply and demand based on power surplus prompts, it includes: Analyze whether the power supply and demand balance coefficient is less than the preset excess balance coefficient. If not, collect the power storage surplus and power consumption rate in the preset energy storage system; When the remaining electric energy storage capacity is lower than the preset upper limit of the effective utilization energy storage capacity, the actual remaining electric energy storage capacity that can be stored as the electric energy continues to be consumed is determined according to the electric energy consumption rate and the electric energy storage capacity; The electric energy supplied to the microgrid is allocated to a preset energy storage system for storage based on the actual electric energy storage margin.

7. The microgrid energy management optimization method in a distribution-microgrid collaborative interaction scenario according to claim 6 is characterized in that: When the electric energy supplied to the microgrid is dispatched to the preset energy storage system for storage, it also includes: Collect the charging power of the energy storage system and the discharging power of the energy storage, and analyze whether the charging power and the discharging power meet the preset charging and discharging power limit conditions; If satisfied, the charge state of the energy storage system is calculated. The charge state is calculated using the following formula: ， in, Indicates the time interval, Indicates the rated capacity of the energy storage system, Indicates the maximum charging power allowed by the energy storage system. represents the charge state of the energy storage system at time t, Indicates the charge state of the energy storage system at the last moment; Compare and analyze the charge state and the limit range corresponding to the preset standard charge state, and issue a charge and discharge power adjustment instruction, the limit range is ; The charging power and discharging power of the energy storage system are feedback-regulated based on the charging and discharging power regulation instructions.

8. The method for optimizing microgrid energy management in a distribution-microgrid collaborative interaction scenario according to claim 6 is characterized in that: When the electric energy supplied to the microgrid is dispatched to the preset energy storage system for storage, it also includes: Collect the load peak-valley difference and load fluctuation frequency of different microgrids for analysis to determine the charge characteristics of different microgrids; The microgrid with large load peak-to-valley difference in the charge characteristic matches the large-capacity energy storage in the preset energy storage database. When the load is in the preset low valley range, the preset energy storage is instructed to store excess electric energy. When the load is in the preset peak range, the preset energy storage is instructed to release electric energy.

9. The microgrid energy management optimization method in a distribution-microgrid collaborative interaction scenario according to claim 8 is characterized in that: Also includes: Matching the corresponding charging threshold or discharging threshold in the preset charging and discharging threshold database according to the energy storage capacity; Detect the energy storage system's stored energy during charging and released energy during discharging; If the stored electrical energy is greater than the preset minimum charging threshold range, the energy storage system is instructed to charge; if the released electrical energy is greater than the preset minimum discharging threshold range, the energy storage system is instructed to discharge.

10. A microgrid energy management optimization system in a distribution-microgrid collaborative interaction scenario, characterized in that: include: The power consumption data monitoring module establishes a power consumption data collection base to monitor the power consumption data of the main grid and microgrid, and analyzes the power consumption merchant information of conventional power loads and new power loads; The power load analysis module analyzes the power consumption order and power load priority in the power consumption merchant information. The power distribution balance adjustment module sends automatic allocation instructions to the preset power distribution coordination system according to the power load priority and power consumption sequence, and calculates the power allocation balance coefficient; The interactive instruction module performs electric energy allocation based on the automatic allocation instruction, and sends an electric energy interactive management instruction when the electric energy allocation balance coefficient is less than the preset good balance allocation coefficient.

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