A Microgrid Energy Management Optimization Method and System in a Micro-Coordination Interactive Scenario

Abstract

The present application relates to a microgrid energy management optimization method and system in a micro-grid and distribution network collaborative interaction scenario, and relates to the technical field of power grid regulation and distribution. It includes: establishing a power consumption data acquisition base to monitor the power consumption data of the main power grid and the microgrid, and analyzing the power consumption merchant information of conventional power consumption loads and new power consumption loads; analyzing based on the power consumption merchant information to determine the power consumption order and power consumption load priority in the power consumption merchant information; sending an automatic allocation instruction to a preset distribution collaboration system according to the power consumption load priority and power consumption order, and calculating a power energy allocation balance coefficient; performing power energy allocation based on the automatic allocation instruction, and when the power energy allocation balance coefficient is less than a preset good balance allocation coefficient, sending a power energy interaction management instruction. The present application has the advantages of improving the interaction and collaboration ability between the microgrid and different distribution network ends and improving the power energy allocation balance effect.

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 the energy management of a microgrid in a scenario of coordinated interaction between a distribution network and a microgrid. Background Art

[0002] The modern intelligent distribution network is a key area of the new power system and the main link facing end-users directly. 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 regulate the spatio-temporal complementarity of multiple composite elements to form coordinated fine-tuning control among the large power grid, distribution network, and microgrid.

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

[0004] In view of the above related technologies, users in different regions have different electricity load conditions, and the grid load conditions will produce different peak fluctuations at different times. As a result, during the energy allocation management process of the microgrid, there is a lack of interaction and coordination with the distribution network, and the effect of power allocation and balance is not good. Summary of the Invention

[0005] In order to improve the interaction and coordination ability between the microgrid and different distribution network terminals and improve the power allocation and balance effect, the present application provides a method and system for optimizing the energy management of a microgrid in a scenario of coordinated interaction between a distribution network and a microgrid.

[0006] In a first aspect, the present application provides a method for optimizing the energy management of a microgrid in a scenario of coordinated interaction between a distribution network and a microgrid, adopting the following technical solutions:

[0007] A method for optimizing the energy management of a microgrid in a scenario of coordinated interaction between a distribution network and a microgrid includes:

[0008] Establish a power consumption data collection base to monitor the power consumption data of the main power grid and the microgrid, and analyze the information of electricity-consuming merchants for conventional power consumption loads and new power consumption loads. The conventional power consumption loads include large industrial power consumption, commercial power consumption, residential power consumption, and distributed power source power consumption loads, and the new power consumption loads include charging pile power consumption loads and energy storage power consumption loads;

[0009] Based on the analysis of the information of electricity-consuming merchants, determine the power consumption order and the priority of power consumption loads in the information of electricity-consuming merchants;

[0010] Send an automatic allocation instruction to a preset distribution coordination system according to the priority of power consumption loads and the power consumption order, and calculate the power allocation balance coefficient;

[0011] Conduct power distribution based on the automatic distribution instruction. When the power distribution balance coefficient is less than the preset good balance distribution coefficient, send a power interaction management instruction.

[0012] Optionally, when calculating the power distribution balance coefficient, the following formula is used:

[0013] ;

[0014] Wherein, represents the comprehensive power distribution balance coefficient, which is the total coefficient reflecting the overall power distribution balance of the microgrid under comprehensive factors; represents the power supply-demand balance coefficient, which is used to measure the overall balance between the power supply and power demand of the microgrid during the corresponding period; represents the energy storage regulation balance coefficient, which is used to evaluate the effectiveness of the energy storage system in regulating power balance; represents the power output matching coefficient of the power source, which is used to reflect the matching degree of the power generation output of the distributed power source and the load demand in the microgrid at different times; in addition, represents the weight value of the power supply-demand balance coefficient, represents the weight value of the energy storage regulation balance coefficient, represents the weight value of the power source processing matching coefficient.

[0015] Optionally, when calculating the power supply-demand balance coefficient, it includes:

[0016] Calculate according to the preset power supply-demand balance coefficient calculation formula to determine the power supply-demand balance coefficient;

[0017] Based on the comparison between the power supply-demand balance coefficient and the preset reference balance coefficient, determine whether to issue a power surplus prompt or a power shortage prompt;

[0018] Perform feedback regulation on the power supply and demand according to the power surplus prompt or the power shortage prompt;

[0019] The power supply-demand balance coefficient calculation formula is as follows:

[0020] ;

[0021] ;

[0022] Wherein, represents the power supply-demand balance coefficient, represents the sum of the power generation powers of all distributed power sources at time t, represents the total load power demand in the microgrid at time t, represents the charge and discharge power of the energy storage system at time t, Indicates the power exchange between the microgrid and the external main grid at time t. Indicates the total power supply of the microgrid at time t.

[0023] Optionally, when calculating the energy storage regulation balance coefficient, it includes:

[0024] Calculating according to a preset energy storage regulation balance coefficient calculation formula to determine the energy storage regulation balance coefficient;

[0025] When the energy storage regulation balance coefficient is within the preset surplus allocation interval value, instruct the preset distribution coordination system to balance the distribution output power;

[0026] The energy storage regulation balance coefficient calculation formula is as follows:

[0027] ;

[0028] ;

[0029] Wherein, Represents the energy storage regulation balance coefficient, Represents the charging and discharging power of the energy storage system at time t, and its absolute value represents the power magnitude participated in the regulation by the energy storage system. Represents the unbalanced power between the power supply and demand of the microgrid at time t, and T represents the total statistical period.

[0030] Optionally, when calculating the power output matching coefficient of the power source, it includes:

[0031] Calculating according to 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:

[0032] ;

[0033] Represents the power output matching coefficient, Represents the sum of the power generation of all distributed power sources at time t, Represents the total load power demand in the microgrid at time t.

[0034] Optionally, when performing feedback regulation on the power supply and demand according to the power surplus prompt, it includes:

[0035] Analyzing whether the power supply and demand balance coefficient is less than the preset surplus balance coefficient. If not less, collecting the remaining power storage and power consumption rate in the preset energy storage system;

[0036] When the remaining power storage is lower than the preset upper limit of effective utilization of the energy storage, calculating according to the power consumption rate and the remaining power storage to determine the actual remaining power storage that can be stored during the continuous power consumption process;

[0037] 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.

[0038] Optionally, when allocating the electric energy supplied to the microgrid to a preset energy storage system for storage, it further includes:

[0039] 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 charge-discharge power limit conditions;

[0040] If it is satisfied, calculate the state of charge of the energy storage system, and the calculation of the state of charge adopts the following formula:

[0041] ,

[0042] where, represents the time interval, represents the rated capacity of the energy storage system, represents the maximum charging power allowed by the energy storage system, represents the state of charge of the energy storage system at time t, represents the state of charge of the energy storage system at the previous moment;

[0043] Conduct a comparative analysis based on the state of charge and the limit range corresponding to the preset standard state of charge, and issue a charge-discharge power adjustment instruction, and the limit range is ;

[0044] Based on the charge-discharge power adjustment instruction, perform feedback adjustment on the charging power and discharging power of the energy storage system.

[0045] Optionally, when allocating the electric energy supplied to the microgrid to a preset energy storage system for storage, it further includes:

[0046] Collect and analyze the load peak-valley difference and load fluctuation frequency of different microgrids to determine the charge characteristics of different microgrids;

[0047] Based on the microgrid with a large load peak-valley difference in the charge characteristics, match a large-capacity energy storage in the preset energy storage database, and indicate the preset energy storage to store the excess electric energy when the load is in the preset low valley range, and indicate the preset energy storage to release the electric energy when the load is in the preset high peak range.

[0048] Optionally, it further includes:

[0049] Match the corresponding charging threshold or discharging threshold in the preset charge-discharge threshold database according to the energy storage capacity;

[0050] 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, instruct the energy storage system to charge, and if the released electrical energy is greater than the preset minimum discharging threshold range, instruct the energy storage system to discharge.

[0051] In a second aspect, the present application provides a microgrid energy management optimization system in a distribution and microgrid collaborative interaction scenario, adopting the following technical solutions:

[0052] A microgrid energy management optimization system in a distribution and microgrid collaborative interaction scenario, comprising:

[0053] An electricity consumption data monitoring module, which establishes a base for collecting electricity consumption data to monitor the electricity consumption data of the main grid and the microgrid, and analyzes the electricity consumption merchant information of conventional electricity loads and new electricity loads;

[0054] An electricity load analysis module, which analyzes based on the electricity consumption merchant information to determine the electricity consumption order and the priority of electricity loads in the electricity consumption merchant information;

[0055] A distribution balance adjustment module, which sends an automatic allocation instruction to a preset distribution collaboration system according to the priority of electricity loads and the electricity consumption order, and calculates the electricity energy allocation balance coefficient;

[0056] An interaction instruction module, which performs electricity energy allocation based on the automatic allocation instruction, and sends an electricity energy interaction management instruction when the electricity energy allocation balance coefficient is less than the preset good balance allocation coefficient.

[0057] In summary, the present application includes at least one of the following beneficial technical effects:

[0058] 1. By monitoring and analyzing conventional electricity loads and new electricity loads, and automatically allocating electricity energy according to the priority of electricity loads, the microgrid and the distribution end can automatically allocate electricity energy with a fast response speed. At the same time, analyze and monitor the electricity energy allocation balance coefficient during the allocation process, and send an electricity energy interaction management instruction when the electricity energy allocation balance coefficient is low, which is convenient for personnel to collaborate on electricity energy allocation management and helps improve the safety of electricity energy allocation;

[0059] 2. Calculate the electricity energy supply and demand balance coefficient, the energy storage regulation balance coefficient, and the power output matching coefficient, and use them as the calculation basis for the comprehensive electricity energy allocation balance coefficient, and evaluate the allocation balance of electricity energy from multiple aspects, which helps improve the reliability of the evaluation of the balance coefficient;

[0060] 3. Analyze the state of charge of the energy storage system during the charging and discharging processes, and set corresponding charging thresholds and discharging thresholds, so that the microgrid can reduce the frequent small-scale charging and discharging of the energy storage system during electricity energy storage and electricity energy collection, thereby extending the service life of the energy storage system. Description of the Drawings

[0061] Figure 1 is the flowchart of the method in steps S100 to S103 of this application.

[0062] Figure 2 is the flowchart of the method in steps S104 to S106 of this application.

[0063] Figure 3 is the flowchart of the method in steps S200 to S202 of this application.

[0064] Figure 4 is the flowchart of the method in steps S2021 to S2024 of this application.

[0065] Figure 5 is the flowchart of the method in steps S2025 to S2026 of this application.

[0066] Figure 6 is the flowchart of the method in steps S2027 to S2028 of this application. Detailed implementation manners

[0067] In order to make the purpose, technical solutions and advantages of this application clearer and more understandable, the following Figures 1-6 are further described in detail in conjunction with the appended

[0068] and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not used to limit this application.

[0069] The embodiments of this application disclose an optimization method for microgrid energy management in a distribution and microgrid collaborative interaction scenario. By monitoring the electricity consumption data between the main grid and the microgrid, the business users of conventional electricity loads and new electricity loads are sorted according to the priority of electricity use, so as to allocate electric energy as needed, and calculate the electric energy allocation balance coefficient in the allocation process. When the allocated electric energy is unbalanced, an interaction instruction is sent to facilitate personnel to carry out allocation collaboration, thereby helping to improve the allocation balance effect of electric energy.

[0070] Refer to Figure 1 , the method flow of the optimization method for microgrid energy management in a distribution and microgrid collaborative interaction scenario includes the following steps:

[0071] Step S100: Establish a power consumption data acquisition base to monitor the power consumption data of the main grid and the microgrid, and analyze the information of business users of conventional power loads and new power loads. The conventional power loads include large industrial power consumption, commercial power consumption, residential power consumption and distributed power source power loads, and the new power loads include charging pile power loads and energy storage power loads;

[0072] The electricity consumption data acquisition base is a cloud database used to collect electricity consumption data between the main power grid and the microgrid. Collecting the data in the cloud facilitates its invocation during analysis. Collecting and differentiating conventional electricity loads and new electricity loads is for the convenience of subsequent corresponding electricity consumption ranking.

[0073] Step S101: Analyze based on the electricity customer information to determine the electricity consumption order and the priority of electricity loads in the electricity customer information.

[0074] The electricity customer information stores the electricity consumption order of different merchants and different electricity consumption priorities. For example, government agencies, computer server centers, etc. that need to maintain electricity consumption at all times require relatively stable electricity quality and have a higher priority.

[0075] Step S102: Send an automatic allocation instruction to the preset power distribution coordination system according to the priority of electricity loads and the electricity consumption order, and calculate the power distribution balance coefficient.

[0076] The power distribution coordination system is a regulation system of the power grid operator entity, which is used to receive and respond to the power distribution instruction. When receiving the automatic allocation instruction, it responds to the automatic allocation instruction, automatically allocates the electric energy according to the needs of the microgrid, and calculates the power distribution balance coefficient at the same time.

[0077] Step S103: Conduct power distribution based on the automatic allocation instruction. When the power distribution balance coefficient is less than the preset good balance distribution coefficient, send a power interaction management instruction.

[0078] The good balance distribution coefficient indicates that the power supply and demand relationship of the power distribution between the main power grid and the microgrid is in a state where the supplied electric energy is greater than the demanded electric energy. When the power distribution balance coefficient is less than the good balance distribution coefficient, it means that the power supply of the main power grid is unbalanced, and there are situations of excessive allocation or insufficient allocation. At this time, by sending a power interaction management instruction, the control instruction for management and coordinated allocation by the receiving personnel can be received.

[0079] Among them, when calculating the power distribution balance coefficient, the following formula is used:

[0080] ;

[0081] If is greater than or equal to 0.8, it indicates that the overall power distribution of the microgrid is in a good balance state. The power management strategy can effectively ensure the balance of power supply and demand, rationally utilize energy storage regulation, and optimize the output of distributed power sources under the synergistic effect of multiple aspects. The operation stability and power utilization efficiency of the microgrid are relatively high.

[0082] If is in the range of 0.6 to 0.8, it indicates that the power distribution balance is at a medium level.

[0083] If is less than 0.6, it indicates that the power distribution balance of the microgrid is poor.

[0084] Among them, represents the comprehensive power distribution balance coefficient, which is the total coefficient reflecting the overall power distribution balance of the microgrid under comprehensive factors; represents the power supply - demand balance coefficient, which is used to measure the overall balance between the power supply and power demand of the microgrid during the corresponding period; represents the energy storage regulation balance coefficient, which is used to evaluate the effectiveness of the energy storage system in regulating power balance; represents the power output matching coefficient of the power source, which is used to reflect the matching degree between the power generation output of distributed power sources and the load demand in the microgrid at different times; In addition, represents the weight value of the power supply - demand balance coefficient, represents the weight value of the energy storage regulation balance coefficient, represents the weight value of the power source processing matching coefficient.

[0085] Among them, it should be noted that the weight value of the power supply - demand balance coefficient, the weight value of the energy storage regulation balance coefficient, and the weight value of the power source processing matching coefficient are set in advance by personnel during the experiment. In this embodiment, taking equal to 0.4, equal to 0.3, equal to 0.3 as an example for calculation.

[0086] Referring to Figure 2 , when calculating the power supply - demand balance coefficient, it includes:

[0087] Calculating according to the preset power supply - demand balance coefficient calculation formula to determine the power supply - demand balance coefficient;

[0088] Step S104: Comparing the power supply - demand balance coefficient with the preset reference balance coefficient to determine whether to issue a power surplus prompt or a power gap prompt;

[0089] The reference balance coefficient represents the coefficient when the power supply - demand relationship tends to be equal. By comparing the magnitudes of the coefficient values, when the power supply - demand balance coefficient is less than the reference balance coefficient, a power gap prompt signal is issued, and vice versa, a power surplus prompt signal is issued.

[0090] Step S105: Making a feedback adjustment to the power supply - demand according to the power surplus prompt or the power gap prompt;

[0091] The power supply - demand balance coefficient calculation formula is as follows:

[0092] ;

[0093] ;

[0094] Among them, represents the power supply - demand balance coefficient of electric energy, represents the sum of the power generation of all distributed power sources at time t, represents the total load power demand in the micro - grid at time t, represents the charge - discharge power of the energy storage system at time t, represents the power exchange between the micro - grid and the external main grid at time t, represents the total electric energy supply power of the micro - grid at time t.

[0095] If is equal to 1, it means that the power supply - demand of electric energy is completely balanced. During this period, the electric energy supply of the micro - grid can exactly meet the electricity demand of all loads, and the dispatching reaches an ideal state;

[0096] If is in the range of 0.95 to 1.05, it indicates that the power supply - demand of electric energy is in a reasonable balance range. The dispatching strategy can basically ensure stable power supply. Although there may be a certain small - scale surplus or gap of electric energy, the impact on the operation of the micro - grid is small;

[0097] If is greater than 1.05, it means that the electric energy supply is excessive. If the excess electric energy cannot be reasonably stored or sent out, it may cause energy waste.

[0098] When calculating the energy storage regulation balance coefficient, it includes:

[0099] Calculating with a preset energy storage regulation balance coefficient calculation formula to determine the energy storage regulation balance coefficient;

[0100] Step S106: When the energy storage regulation balance coefficient is within the preset surplus dispatching interval value, instruct the preset power distribution coordination system to balance the power distribution output power;

[0101] The power distribution coordination system is a power regulation server that regulates the power distribution output power of electric energy, as can be known by comparing the energy storage regulation balance coefficient and the surplus dispatching interval value.

[0102] The energy storage regulation balance coefficient calculation formula is as follows:

[0103] ;

[0104] ;

[0105] Among them, represents the energy storage regulation balance coefficient, represents the charge - discharge power of the energy storage system at time t, and its absolute value represents the power size participated in by the energy storage system for regulation, It represents the unbalanced power between the power supply and demand of the microgrid at time t, and T represents the total statistical time period.

[0106] If is greater than 0.8, it indicates that the energy storage system has played a good role in regulating the power balance, can effectively cope with most power imbalance situations, reduce the difference between power supply and demand through reasonable charge and discharge operations, and the application strategy of the energy storage in power allocation management is relatively reasonable;

[0107] If is in the range of 0.5 to 0.8, it indicates that the energy storage system has played a certain regulatory role, but there is still room for improvement;

[0108] If is less than 0.5, it shows that the energy storage system has made a small contribution to balancing power supply and demand in the current power allocation.

[0109] When calculating the power output matching coefficient of the power source, it includes:

[0110] Calculating with 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:

[0111] ;

[0112] represents the power output matching coefficient, represents the sum of the power generation of all distributed power sources at time t, represents the total load power demand in the microgrid at time t.

[0113] If is greater than 0.8, it shows that the matching degree between the power generation output of the distributed power source and the load demand in time distribution is relatively high, and the power allocation management strategy can better combine the characteristics of the distributed power source, so that its generated electric energy can be effectively consumed by the load, reducing the situation of power waste and insufficient supply;

[0114] If is in the range of 0.6 to 0.8, it shows that the matching degree between the distributed power source and the load is at a medium level;

[0115] If is less than 0.6, it indicates that the matching between the power generation output of the distributed power source and the load demand is poor.

[0116] Referring to Figure 3 , when performing feedback regulation on power supply and demand according to the power surplus prompt, it includes:

[0117] Step S200: Analyze whether the power supply - demand balance coefficient is less than a preset excess balance coefficient. If it is not less, collect the remaining power storage and power consumption rate in the preset energy storage system.

[0118] Step S201: When the remaining power storage is lower than the preset upper limit of effective utilization of energy storage, calculate based on the power consumption rate and the remaining power storage to determine the actual remaining power storage that can be stored during the continuous power consumption process.

[0119] Step S202: Based on the actual remaining power storage, allocate the power supplied to the micro - grid to the preset energy storage system for storage.

[0120] Refer to Figure 4 , when allocating the power supplied to the micro - grid to the preset energy storage system for storage, it also includes:

[0121] Step S2021: Collect the charging power and discharging power of the energy storage system, and analyze whether the charging power and discharging power meet the preset charge - discharge power limit conditions.

[0122] Step S2022: If it meets the conditions, calculate the state of charge of the energy storage system.

[0123] The calculation of the state of charge uses the following formula:

[0124] ,

[0125] where represents the time interval, represents the rated capacity of the energy storage system, represents the maximum allowable charging power of the energy storage system, represents the state of charge of the energy storage system at time t, represents the state of charge of the energy storage system at the previous moment;

[0126] Step S2023: Compare and analyze according to the state of charge and the limit range corresponding to the preset standard state of charge, and issue a charge - discharge power adjustment instruction. The limit range is ;

[0127] Step S2024: Based on the charge - discharge power adjustment instruction, perform feedback adjustment on the charging power and discharging power of the energy storage system.

[0128] Refer to Figure 5 , when allocating the power supplied to the micro - grid to the preset energy storage system for storage, it also includes:

[0129] Step S2025: Collect and analyze the load peak - valley difference and load fluctuation frequency of different micro - grids to determine the charge characteristics of different micro - grids.

[0130] Step S2026: Based on the microgrid with large differences in load peak and valley values in charge characteristics, match a large-capacity energy storage in a preset energy storage database. When the load is within a preset low valley range, instruct the preset energy storage to store excess electric energy. When the load is within a preset peak range, instruct the preset energy storage to release electric energy.

[0131] Refer to Figure 5 , further comprising:

[0132] Step S2027: According to the energy storage capacity, match the corresponding charging threshold or discharging threshold in a preset charge-discharge threshold database;

[0133] Step S2028: Detect the stored electric energy during charging and the released electric energy during discharging of the energy storage system; if the stored electric energy is greater than a preset minimum charging threshold range, instruct the energy storage system to charge. If the released electric energy is greater than a preset minimum discharging threshold range, instruct the energy storage system to discharge.

[0134] Based on the same inventive concept, an embodiment of the present invention provides a microgrid energy management optimization system in a distribution and microgrid collaborative interaction scenario, comprising:

[0135] An electricity consumption data monitoring module, which establishes a base for collecting electricity consumption data to monitor the electricity consumption data of the main grid and the microgrid, and analyzes the electricity consumption merchant information of conventional electricity loads and new electricity loads;

[0136] An electricity load analysis module, which analyzes based on the electricity consumption merchant information to determine the electricity consumption order and the priority of electricity loads in the electricity consumption merchant information;

[0137] A distribution balance adjustment module, which sends an automatic allocation instruction to a preset distribution collaboration system according to the priority of electricity loads and the electricity consumption order, and calculates an electricity energy allocation balance coefficient;

[0138] An interaction instruction module, which performs electricity energy allocation based on the automatic allocation instruction, and sends an electricity energy interaction management instruction when the electricity energy allocation balance coefficient is less than a preset good balance allocation coefficient.

[0139] Those skilled in the art can clearly understand that for the convenience and conciseness of description, only the above division of each functional module is used as an example for illustration. In actual applications, the above functions can be allocated to different functional modules according to needs, 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 processes of the above-described system, device, and unit can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein.

[0140] An embodiment of the present invention provides a computer-readable storage medium, storing a computer program that can be loaded and executed by a processor to perform the microgrid energy management optimization method in a distribution and microgrid collaborative interaction scenario.

[0141] Computer storage media include, for example: various media that can store program codes, such as USB flash drives, external hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs.

[0142] Based on the same inventive concept, an embodiment of the present invention provides an intelligent terminal, including a memory and a processor. A computer program capable of being loaded and executed by the processor for the microgrid energy management optimization method in the collaborative interaction scenario of matching is stored on the memory.

[0143] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the above division of each functional module is used as an example for illustration. In practical applications, the above functions can be allocated to different functional modules according to needs, 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 processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be repeated here.

[0144] The above are all preferred embodiments of the present application. The protection scope of the present application is not limited thereby. Any feature disclosed in this specification (including the abstract and drawings), unless specifically described, can be replaced by other equivalent or similar-purpose alternative features. That is, unless specifically described, each feature is only an example in a series of equivalent or similar features.

Claims

1. A microgrid energy management optimization method in a micro-macro collaborative interaction scenario, characterized in that, Including: Establish a power consumption data acquisition base to monitor the power consumption data of the main power grid and the microgrid, and analyze the information of electricity-consuming merchants for conventional power consumption loads and new power consumption loads. The conventional power consumption loads include large industrial power consumption, commercial power consumption, residential power consumption, and distributed power source power consumption loads. The new power consumption loads include charging pile power consumption loads and energy storage power consumption loads; Analyze based on the information of electricity-consuming merchants to determine the power consumption order and power consumption load priority in the information of electricity-consuming merchants; Send an automatic allocation instruction to a preset power distribution coordination system according to the power consumption load priority and power consumption order, and calculate the power distribution balance coefficient; When calculating the power distribution balance coefficient, the following formula is used: ； Among them, represents the comprehensive power distribution balance coefficient, which is the total coefficient reflecting the overall power distribution balance of the microgrid under comprehensive factors; represents the power supply-demand balance coefficient, which is used to measure the overall balance between the power supply and demand of the microgrid during the corresponding period; represents the energy storage regulation balance coefficient, which is used to evaluate the effectiveness of the energy storage system in regulating power balance; represents the power output matching coefficient of the power source, which is used to reflect the matching degree between the power generation output of the distributed power source and the load demand in the microgrid at different times; In addition, represents the weight value of the power supply-demand balance coefficient, represents the weight value of the energy storage regulation balance coefficient, represents the weight value of the power source processing matching coefficient; Conduct power distribution based on the automatic allocation instruction. When the power distribution balance coefficient is less than the preset good balance allocation coefficient, send a power interaction management instruction; When calculating the power supply and demand balance coefficient, it includes: Calculate using a preset power supply and demand balance coefficient calculation formula to determine the power supply and demand balance coefficient; Compare based on the power supply and demand balance coefficient and the preset reference balance coefficient to determine whether to issue a power surplus prompt or a power shortage prompt; Conduct feedback adjustment on the power supply and demand according to the power surplus prompt or the power shortage prompt; The power supply and demand balance coefficient calculation formula is as follows: ； ； Among them, represents the power supply - demand balance coefficient of electric energy, represents the sum of the power generation of all distributed power sources at time t, represents the total load power demand in the micro - grid at time t, represents the charge - discharge power of the energy storage system at time t, represents the power exchange situation between the micro - grid and the external main grid at time t, represents the total power supply of the micro - grid at time t; When conducting feedback adjustment 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 it is not less than, collect the power storage margin and power consumption rate in the preset energy storage system; When the power storage margin is lower than the preset effective utilization energy storage upper limit, calculate according to the power consumption rate and the power storage margin to determine the actual power storage margin that can be stored during the continuous power consumption process; Based on the actual power storage margin, allocate the power supplied to the microgrid to the preset energy storage system for storage; When allocating the power supplied to the microgrid 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 charge and discharge power limit conditions; If it meets, calculate the state of charge of the energy storage system. The calculation of the state of charge uses the following formula: ， Among them, represents the time interval, represents the rated capacity of the energy storage system, represents the maximum charging power allowed for the energy storage system, represents the state of charge of the energy storage system at time t, represents the state of charge of the energy storage system at the previous moment; Compare and analyze according to the charge state and the limit range corresponding to the preset standard charge state, and issue a charge and discharge power adjustment instruction, where the limit range is ; Conduct feedback adjustment on the charging power and discharging power of the energy storage system based on the charge and discharge power adjustment instruction.

2. The microgrid energy management optimization method in a micro-grid and micro-source collaborative interaction scenario according to claim 1, wherein When calculating the energy storage adjustment balance coefficient, it includes: Calculate using a preset energy storage adjustment balance coefficient calculation formula to determine the energy storage adjustment balance coefficient; When the energy storage adjustment balance coefficient is within the preset surplus allocation interval value, instruct the preset power distribution coordination system to balance the power distribution output power; The energy storage adjustment balance coefficient calculation formula is as follows: ； ； Among them, represents the energy storage regulation balance coefficient, represents the charging and discharging power of the energy storage system at time t, and its absolute value represents the power magnitude of the energy storage system participating in regulation, represents the unbalanced power between the power supply and demand of the microgrid at time t, and T represents the total statistical period.

3. The microgrid energy management optimization method in a micro-grid and micro-source collaborative interaction scenario according to claim 1, characterized in that When calculating the power output matching coefficient, it includes: Calculate 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: ； represents the power output matching coefficient, represents the sum of the power generation of all distributed power sources at time t, represents the total load power demand in the microgrid at time t.

4. The microgrid energy management optimization method in a micro-grid and micro-source collaborative interaction scenario according to claim 1, wherein When allocating the power supplied to the microgrid to the preset energy storage system for storage, it also includes: Collect and analyze the load peak-valley difference and load fluctuation frequency of different microgrids to determine the charge characteristics of different microgrids; Based on the large difference in load peak and valley values in the charge characteristics, the microgrid matches the large-capacity energy storage in the preset energy storage database. When the load is in the preset low valley range, it instructs the preset energy storage to store the excess electric energy. When the load is in the preset peak range, it instructs the preset energy storage to release electric energy.

5. The microgrid energy management optimization method in a micro-grid and micro-source collaborative interaction scenario according to claim 4, characterized in that It further includes: Matching the corresponding charging threshold or discharging threshold in the preset charge-discharge threshold database according to the energy storage capacity; Detecting the stored electric energy during charging and the released electric energy during discharging of the energy storage system; If the stored electric energy is greater than the preset minimum charging threshold range, it instructs the energy storage system to charge. If the released electric energy is greater than the preset minimum discharging threshold range, it instructs the energy storage system to discharge.

6. A microgrid energy management optimization system in a distribution-microgrid collaborative interaction scenario, which is applied to the microgrid energy management optimization method in the distribution-microgrid collaborative interaction scenario as described in any one of claims 1-5, and is characterized in that, It includes: An electricity consumption data monitoring module, which establishes an electricity consumption data acquisition base to monitor the electricity consumption data of the main grid and the microgrid, and analyzes the electricity consumption merchant information of conventional electricity loads and new electricity loads; An electricity load analysis module, which analyzes based on the electricity consumption merchant information to determine the electricity consumption order and the electricity load priority in the electricity consumption merchant information; A power distribution balance adjustment module, which sends an automatic allocation instruction to the preset power distribution coordination system according to the electricity load priority and the electricity consumption order, and calculates the power distribution balance coefficient; An interaction instruction module, which conducts power distribution based on the automatic allocation instruction. When the power distribution balance coefficient is less than the preset good balance allocation coefficient, it sends a power interaction management instruction.

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