Collaborative optimization operation method for 5G base station and power distribution network

Abstract

The invention provides a collaborative optimization operation method for a 5G base station and a power distribution network, and belongs to the technical field of energy optimization, and the method comprises the steps: determining a power distribution unit for supplying power to a corresponding 5G base station in a block; each 5G base station preliminarily receives the communication data transmitted in the preset range and processes the communication data in sequence in combination with other 5G base stations in low communication load; combining the feedback data obtained by the 5G base station for processing the communication data and feeding back the combined data to the client; and determining the power supply pressure of the block by combining the load, the power utilization historical data of each block and the power utilization feedback of the power utilization equipment in each block at the current time point, and arranging the discharge and charge time of each standby energy storage unit and whether the power distribution unit or the standby energy storage unit supplies power to the 5G base station. According to the collaborative optimization operation method for the 5G base stations and the power distribution network provided by the invention, the load pressure of each 5G base station is reduced, the energy consumption is reduced, the optimization of energy supply is realized, and the dependence and impact on the power distribution network are avoided.

Description

Technical Field

[0001] The present invention belongs to the field of energy optimization technology, and more specifically, relates to a method for coordinated optimization operation of a 5G base station and a distribution network. Background Art

[0002] With the development of 5G technology, the number of 5G base stations is increasing. Actual tests show that the power consumption of 5G base stations is about 4 times that of 4G base stations. In addition, with the increasing number of 5G users, the energy consumption of base stations will gradually increase due to the gradual increase in load, which will eventually put pressure on the distribution network that provides them with electricity.

[0003] There are existing methods to coordinate the operation of base stations and distribution networks, but this method does not achieve detailed and timely optimization of data processing, that is, it does not effectively reduce the load of 5G base stations, and cannot accurately and effectively optimize energy supply. The final result is that the dependence on and impact on the distribution network is still large. Summary of the invention

[0004] The purpose of the present invention is to provide a method for coordinated optimization operation of 5G base stations and distribution networks, aiming to solve the problem that the load of 5G base stations cannot be effectively reduced, the energy supply cannot be optimized accurately and effectively, and the dependence on and impact on the distribution network is still large.

[0005] To achieve the above object, the technical solution adopted by the present invention is: to provide a method for coordinated optimization operation of a 5G base station and a distribution network, comprising: The entire area is divided into multiple corresponding blocks according to the location of each 5G base station, and a distribution unit for supplying power to the corresponding 5G base station is determined in the block; each 5G base station initially accepts the communication data transmitted within a preset range and processes the communication data in sequence in conjunction with other 5G base stations with low communication loads; the feedback data obtained by the 5G base station that processes the communication data is combined in sequence and fed back to the customer; the power quantity of the backup energy storage connected to each 5G base station is determined in real time, and the power supply pressure of the block is clarified in combination with the load and the power consumption history data of each block and the power consumption feedback of the electrical equipment in each block at the current time point, and the discharge and charging time of each backup energy storage is arranged, as well as whether the distribution unit or the backup energy storage supplies power to the 5G base station.

[0006] In a possible implementation, dividing the entire area into a corresponding plurality of blocks according to the locations of the 5G base stations, and determining within the blocks a power distribution unit for supplying power to the corresponding 5G base stations includes: Each of the blocks includes the corresponding 5G base station and the power distribution unit, and the power distribution network of the entire area is divided into a power distribution system including the power distribution unit according to the location of the block; The structure and connection relationship of the power distribution system in each of the blocks are identified, and the location and historical power consumption data of the power consumption equipment connected to the power distribution system are determined.

[0007] In a possible implementation manner, identifying the structure and connection relationship of the power distribution system in each of the blocks includes: Analyzing the hierarchical relationship between the power distribution systems in the overall power distribution network; It is clear that in each of the power distribution systems, after the corresponding power distribution units are removed, the power transmission lines that supply power to each power-consuming device are identified.

[0008] In a possible implementation, the combining of the load and the historical power consumption data of each block and the power consumption feedback of the power-consuming devices in each block at the current time point to clarify the power supply pressure of the block includes: The power consumption pattern of each electrical equipment in the block is determined through the historical data of the power distribution system, and the change trend of the power supply pressure of the block in the future period is inferred based on the historical pattern and the power consumption feedback of the electrical equipment at the current time point.

[0009] In a possible implementation, each of the 5G base stations preliminarily accepts the communication data transmitted within a preset range and processes the communication data in sequence in conjunction with other 5G base stations with low communication loads, including: The communication data is received by the 5G base station closest to the customer, and the latter part of the communication data is transferred to other 5G base stations with lower loads based on the current load conditions of each 5G base station, which then processes the latter part of the communication data.

[0010] In a possible implementation, combining the feedback data obtained by the 5G base station processing the communication data in a sequential order and feeding it back to the client includes: When the nearest 5G base station processes the first part of the communication data, the location of the 5G base station processing the second part of the communication data is immediately determined, and the remaining part of the communication data is transferred in real time through the transmission network, thereby achieving uninterrupted processing of the communication data with the help of the transmission network.

[0011] In a possible implementation, combining the feedback data obtained by the 5G base station processing the communication data in a sequential order and feeding it back to the client includes: The transmission network includes an outgoing path and a return path; the data received by the multiple 5G base stations that process the communication data are transmitted in sequence to the 5G base station closest to the customer through the return path, and the received data of each segment are arranged, combined and fed back in the order of processing the communication data.

[0012] In a possible implementation, combining the feedback data obtained by the 5G base station processing the communication data in a sequential order and feeding it back to the client includes: Integrate the data received by the multiple 5G base stations that process the communication data in order, and after the integration is completed, the 5G base station closest to the customer will feedback the data; An outgoing path and a return path are established, and the outgoing path is used to transfer the communication data in segments. During the communication data transfer process, the return path is used to return the data received by the 5G base station.

[0013] In a possible implementation, the reasonably arranging the discharge and charging time of each of the backup energy storages and whether the power distribution unit or the backup energy storage supplies power to the 5G base station includes: A curve drawn by combining the power supply pressure of each block and the load corresponding to each 5G base station; The curve simulates the optimal and most energy-saving working state of each 5G base station and the minimum impact and dependence of the 5G base station on the power distribution unit.

[0014] In a possible implementation, selecting the power distribution unit or the backup energy storage to supply power to each of the 5G base stations according to the curve, and determining the charging time according to the energy consumption rate and storage capacity of the backup energy storage includes: Selecting an interval in the curve in which the power distribution unit directly supplies power to the corresponding 5G base station; Selecting an interval in the curve in which the backup energy storage directly supplies power to the corresponding 5G base station; According to the curve, the power distribution unit or the backup energy storage is selected to supply power to each 5G base station, and the charging time is determined according to the energy consumption rate and storage capacity of the backup energy storage.

[0015] The beneficial effect of the collaborative optimization operation method of a 5G base station and a distribution network provided by the present invention is that: compared with the prior art, the collaborative optimization operation method of a 5G base station and a distribution network provided by the present invention first divides the entire area into multiple blocks, each block corresponds to a distribution unit, and each distribution unit provides power for a 5G base station. During data processing, the communication data will be first transmitted to the 5G base station closest to the customer. At this time, the communication data will be processed in sequence in conjunction with other 5G base stations with low communication loads; the feedback data obtained by the 5G base station processing the communication data will be combined in sequence and fed back to the customer. In order to further reduce energy consumption, the power of the standby energy storage connected to each 5G base station is determined in real time, and then the power supply pressure is clarified. After the power supply pressure is determined, the discharge and charging time of each standby energy storage and whether the distribution unit or the standby energy storage supplies power to the 5G base station are reasonably arranged. On the basis of ensuring timely processing of communication data, this application reduces the load pressure of each 5G base station, reduces energy consumption, optimizes energy supply, and avoids dependence on and impact on the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 A flowchart of a method for collaborative optimization operation of a 5G base station and a distribution network provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0019] See also Figure 1 , a collaborative optimization operation method of a 5G base station and a distribution network provided by the present invention is now described. A collaborative optimization operation method of a 5G base station and a distribution network comprises: The entire area is divided into multiple corresponding blocks according to the location of each 5G base station, and the distribution unit that supplies power to the corresponding 5G base station is determined in the block; each 5G base station initially receives the communication data transmitted within the preset range and processes the communication data in sequence in conjunction with other 5G base stations with low communication loads; the feedback data obtained by the 5G base station that processes the communication data is combined in sequence and fed back to the customer; the power consumption of the backup energy storage connected to each 5G base station is determined in real time, and the power supply pressure of the block is clarified by combining the load and the historical power consumption data of each block and the power consumption feedback of the electrical equipment in each block at the current time point, and the discharge and charging time of each backup energy storage and whether the distribution unit or the backup energy storage supplies power to the 5G base station are reasonably arranged.

[0020] The beneficial effect of the collaborative optimization operation method of a 5G base station and a distribution network provided by the present invention is that: compared with the prior art, the collaborative optimization operation method of a 5G base station and a distribution network provided by the present invention first divides the entire area into multiple blocks, each block corresponds to a distribution unit, and each distribution unit provides power for a 5G base station. During data processing, the communication data will be first transmitted to the 5G base station closest to the customer. At this time, the communication data will be processed in sequence in conjunction with other 5G base stations with low communication loads; the feedback data obtained by the 5G base station processing the communication data will be combined in sequence and fed back to the customer. In order to further reduce energy consumption, the power of the standby energy storage connected to each 5G base station is determined in real time, and then the power supply pressure is clarified. After the power supply pressure is determined, the discharge and charging time of each standby energy storage and whether the distribution unit or the standby energy storage supplies power to the 5G base station are reasonably arranged. On the basis of ensuring timely processing of communication data, this application reduces the load pressure of each 5G base station, reduces energy consumption, optimizes energy supply, and avoids dependence on and impact on the distribution network.

[0021] At present, in order to solve the energy consumption problem of 5G base stations, highly integrated RF devices, more advanced heat dissipation systems and energy-saving power supply equipment have been adopted. The application of these technologies helps to reduce the energy consumption of a single base station and improve energy utilization efficiency. In addition, the introduction of artificial intelligence (AI) technology to realize intelligent scheduling of base station equipment is also an important means to reduce energy consumption. Through intelligent scheduling, the power of the base station can be reduced during periods of low traffic, thereby saving energy, and during periods of high traffic, the power can be increased in time to meet user needs and ensure the stability of network performance.

[0022] Although there are methods for collaborative optimization of 5G base stations and distribution networks based on load migration in the prior art, the above methods do not predict the load for a period of time in the future, and cannot effectively utilize the backup energy storage within the 5G base station itself for effective power supply planning, and cannot effectively clarify the reasonable access time between the distribution unit and the backup energy storage, which also leads to the inability to achieve effective collaborative effects with the distribution network.

[0023] In some embodiments of a method for coordinated optimization operation of a 5G base station and a distribution network provided in the present application, the entire area is divided into a corresponding plurality of blocks according to the location of each 5G base station, and a distribution unit for supplying power to the corresponding 5G base station is determined within the block, including: Each block contains a corresponding 5G base station and a distribution unit, dividing the distribution network of the entire area into a distribution system including distribution units according to the location of the blocks.

[0024] Identify the structure and connection relationship of the power distribution system in each block, and determine the location of the power-consuming equipment connected to the power distribution system and the historical data of power consumption.

[0025] 5G base stations refer to base stations that use the fifth generation of mobile communication technology. They have the characteristics of high speed, low latency, and large connections, but they also face the challenges of high density and high energy consumption. 5G base stations are usually equipped with backup energy storage to ensure their power reliability, but these batteries are idle most of the time, resulting in a waste of resources. If the backup energy storage of 5G base stations can be used as a flexible energy storage resource to participate in the dispatch of active distribution networks, it can not only reduce the operating costs of 5G base stations, but also improve the new energy absorption capacity and voltage stability of active distribution networks, achieving a win-win situation for communication operators and power grid operators.

[0026] Although the existing technology considers the distribution network scheduling model of 5G base stations, it usually only considers the traditional energy storage resources in the expansion planning of the active distribution network, and cannot fully utilize the backup energy storage resources of 5G base stations. There is a problem that the expansion planning of the active distribution network is not accurate and reliable enough.

[0027] In order to achieve the above-mentioned technical effects, it is necessary to effectively count and predict the load of the distribution network, and on this basis, to realize the coordinated processing of 5G base station communication data in a region, so as to achieve reasonable planning of data processing volume on the basis of ensuring efficiency, and ultimately achieve effective utilization of resources.

[0028] In some embodiments of a method for coordinated optimization operation of a 5G base station and a distribution network provided in the present application, identifying the structure and connection relationship of the distribution system in each block includes: Analyze the hierarchical relationship between various distribution systems in the overall distribution network.

[0029] Clearly define the transmission lines that supply power to each electrical equipment after removing the corresponding distribution units in each distribution system.

[0030] There are multiple 5G base stations in a region, and multiple 5G base stations may need to be powered by distribution units in different blocks. That is, because the locations of 5G base stations are different, the distribution units that power each 5G base station may be independent of each other. Therefore, it is necessary to achieve a mutual collaborative optimization relationship between the 5G base stations and their corresponding distribution units. Therefore, in this application, the distribution network in the entire area is first divided into blocks, and the principle of block division is the distribution system in the area where each distribution unit is located. In order to explain in more detail, the innermost layer is first of all each 5G base station, the outer side of the 5G base station is the corresponding distribution unit, and the outer side of the distribution unit is the divided block, and the integration of each block can form the distribution network of the entire area.

[0031] After the above block division is completed, it is necessary to summarize and summarize the location and power consumption information of each electrical equipment in the block. More importantly, since the number of electrical equipment inside is small after the block division, the accuracy of load prediction for each block can be greatly improved.

[0032] In some embodiments of a method for coordinated optimization operation of a 5G base station and a distribution network provided in the present application, combining the load and the historical power consumption data of each block and the power consumption feedback of the power-consuming equipment in each block at the current time point to clarify the power supply pressure of the block includes: The power consumption patterns of each electrical equipment in the block are determined through the historical data of the power distribution system. Based on the historical patterns and the power consumption feedback of the electrical equipment at the current time point, the changing trend of the power supply pressure of the block in the future is inferred.

[0033] First of all, it is necessary to effectively monitor and predict the load of each block in the distribution network in order to achieve coordinated operation with 5G base stations. More importantly, the prediction of the distribution network load not only needs to be combined with historical data, but also needs to be based on the power consumption of existing power equipment and real-time feedback from relevant departments in order to accurately judge the subsequent power load.

[0034] In order to achieve the above-mentioned technical effects, the laying method of the distribution network in the entire area is first clarified. After the specific laying method of the distribution network is determined, the location and power consumption of each corresponding electrical equipment connected thereto can be determined. After clarifying the above-mentioned situation, the power load historical data of each block throughout the day is first created. The historical data represents information such as the power consumption time point, power consumption and power consumption type of each device in the past period of time.

[0035] In some embodiments of a method for coordinated optimization operation of a 5G base station and a distribution network provided in the present application, each 5G base station preliminarily receives communication data transmitted within a preset range and processes the communication data in sequence in conjunction with other 5G base stations with low communication loads, including: The communication data is received by the 5G base station closest to the customer. In order to avoid delays and lags, the first part of the communication data is processed first. Based on the current load conditions of each 5G base station, the second part of the communication data is transferred to other 5G base stations with low loads, which will then process the second part of the communication data.

[0036] After clarifying the total historical data within the block, in order to improve the accuracy of the distribution network load forecast, it is necessary to make accurate and reliable predictions on the subsequent load changes based on the historical data. In order to achieve the above effects, it is necessary to make reasonable predictions on future load changes based on artificial intelligence and big data and according to the current electricity consumption and related feedback.

[0037] Therefore, in actual application, it is necessary to clarify as much as possible the type, location and power consumption of power-consuming equipment at the current time point. During implementation, real-time feedback from data from relevant enterprises and units can be used, and combined with the power consumption monitoring of other departments and places, the power consumption situation at the current time point can be clearly calibrated. After the calibration is completed, historical data can be combined with artificial intelligence and big data based on the type of power-consuming equipment to finally judge the time period of power consumption and future power consumption, thereby realizing the load forecast of the distribution network in the future.

[0038] In some embodiments of a method for coordinated optimization operation of a 5G base station and a distribution network provided in the present application, the feedback data obtained by the 5G base station processing communication data is combined in sequence and fed back to the client, including: When the nearest 5G base station processes the first part of the communication data, it will then determine the location of the base station that processes the second part of the communication data and transfer the communication data in real time through the transmission network, thereby achieving uninterrupted processing of the remaining part of the communication data.

[0039] There are multiple 5G base stations in a region. In actual application, each 5G base station needs to process certain communication data. Due to different locations, different 5G base stations need to process different amounts of communication data. More importantly, when the amount of data processed is different, the energy consumed is different. This makes some base stations consume more energy, while some base stations consume less energy due to less data processing. In this case, how to achieve the reasonable distribution of communication data to achieve the most economical data processing efficiency without affecting data delays and packet loss is a technical problem that needs to be solved at present.

[0040] In order to achieve the above technical effects, this application needs to reasonably distribute communication data among multiple 5G base stations, that is, to allocate communication data among 5G base stations. Through the above settings, the idle intervals of 5G base stations are avoided, and at the same time, the problem of serious waste of resources due to excessive load of some 5G base stations is avoided. It should be pointed out that avoiding data delays and losses, that is, not affecting the interruption of data processing, is an urgent problem to be solved. For this reason, this application needs to use the data transmission network to realize the migration of data between 5G base stations.

[0041] In some embodiments of a method for coordinated optimization operation of a 5G base station and a distribution network provided in the present application, the feedback data obtained by the 5G base station processing communication data is combined in sequence and fed back to the client, including: The transmission network includes an outbound path and a return path. The data received by multiple 5G base stations that process communication data are transmitted sequentially to the 5G base station closest to the customer through the return path. The received data segments are arranged, combined and fed back in the order in which the communication data is processed.

[0042] 5G base stations receive communication data from nearby devices in the most direct and accurate way. This is unnecessary and cannot be changed. This application mainly uses the transmission network to achieve data transfer. In order to explain in more detail, a transmission network is set up between each 5G base station. When a 5G base station receives a communication data, it first needs to feedback the current load of each 5G base station to the system. After the feedback is completed, it is necessary to determine whether the data needs to be transferred based on the current load level. If the transfer is required, it is necessary to clarify which base station the data needs to be transmitted to.

[0043] In actual application, after determining that the 5G base station needs to transfer the current communication data, the location and model of the base station to be transferred must be clarified. That is, after a 5G base station receives the communication data, the transfer module is required to transfer the data through the transmission network, and other 5G base stations will process and transmit the data. Ultimately, the transfer of different communication data between different base stations is realized, and ultimately the rational allocation of resources is achieved.

[0044] In some embodiments of a method for coordinated optimization operation of a 5G base station and a distribution network provided in the present application, the feedback data obtained by the 5G base station processing communication data is combined in sequence and fed back to the client, including: The data received by multiple 5G base stations that process communication data are integrated in sequence. After the integration is completed, the data is fed back by the 5G base station closest to the customer.

[0045] An outbound channel and a return channel are established. The outbound channel is used to transfer the communication data in segments. During the communication data transfer process, the return channel is used to return the data received by the 5G base station.

[0046] To explain in more detail, the nearby 5G base station first receives the communication data based on the distance relationship. After successfully starting to receive the data, it is necessary to consider the load bearing conditions of each base station and the current load size of the corresponding distribution unit. The base station that receives the communication data sends the communication data to other base stations. During the transfer process, the base station that sends the communication data needs to ensure that the target base station can process the data in time after the data is sent, that is, to avoid data interruption.

[0047] That is, the communication data is initially received and processed by the nearest base station, and the data communication transmission between the two base stations is realized during the processing of the current base station, and the subsequent part of the communication data is processed by other base stations. The feedback data received by other base stations is transmitted to the nearest base station through the transmission network, and then fed back to the customer by the nearest base station.

[0048] In some embodiments of a method for coordinated optimization operation of a 5G base station and a distribution network provided in the present application, reasonably arranging the discharge and charging time of each backup energy storage and whether the distribution unit or the backup energy storage supplies power to the 5G base station includes: The curve is drawn by combining the power supply pressure of each block and the load corresponding to each 5G base station.

[0049] The curve simulates the optimal and most energy-efficient working state of each 5G base station and the minimal impact and dependence of the 5G base station on the power distribution unit.

[0050] Each base station has a sweet spot state during operation, that is, in this sweet spot state, the efficiency is higher and the energy consumption is lower, while some base stations need to be shut down to be the most economical state. At this time, it is necessary to reasonably adjust the number of turned on 5G base stations, so as to ultimately reduce the total power consumption.

[0051] Based on the above reasons, we first need to clarify the number of base stations that need to be turned on. After the number is determined, we need to analyze the most economical state of each base station, that is, determine the optimal load.

[0052] In some embodiments of a method for coordinated optimization operation of a 5G base station and a distribution network provided in the present application, selecting a distribution unit or a backup energy storage to power each 5G base station according to a curve, and determining its charging time according to the energy consumption rate and storage capacity of the backup energy storage includes: Select the interval in the curve where the distribution unit directly supplies power to the corresponding 5G base station.

[0053] Select the interval in the curve where the corresponding 5G base station is directly powered by backup energy storage.

[0054] According to the curve, the distribution unit or backup energy storage is selected to power each 5G base station, and the charging time is determined according to the energy consumption rate and storage capacity of the backup energy storage.

[0055] After determining the optimal load, since the backup energy storage corresponding to each 5G base station needs to provide energy for the corresponding 5G base station at the appropriate time, how to reasonably plan energy in this case is a technical problem that needs to be solved. Therefore, when the amount of data that the 5G base station needs to process is different, the energy required to be consumed is also different. It should be pointed out that how to achieve reasonable power supply for the 5G base station between the backup energy storage and the distribution unit is a technical problem that needs to be solved at present.

[0056] At this time, it is necessary to predict the power supply pressure in the block. After the prediction is completed, it is analyzed whether the distribution unit needs to provide energy to the base station in the future. If the power supply pressure of the block is small at this time, the distribution unit will directly supply electricity. If the power supply pressure of the block is large, it is necessary to give priority to the backup energy storage for power supply based on the changes in the power supply pressure and the electricity stored in the backup energy storage, and at the appropriate time, the distribution system in the block will supply power to the backup energy storage or directly supply power to the base station.

[0057] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for coordinated optimization operation of a 5G base station and a distribution network, characterized in that: include: The entire area is divided into a plurality of corresponding blocks according to the location of each 5G base station, and a power distribution unit for supplying power to the corresponding 5G base station is determined in the block; each 5G base station preliminarily receives the communication data transmitted within a preset range and processes the communication data in sequence in conjunction with other 5G base stations with low communication loads; the feedback data obtained by the 5G base station processing the communication data is combined in sequence and fed back to the customer; Determine in real time the power of the backup energy storage connected to each of the 5G base stations, clarify the power supply pressure of the block by combining the load and the power consumption history data of each block and the power consumption feedback of the electrical equipment in each block at the current time point, arrange the discharge and charging time of each backup energy storage, and whether the distribution unit or the backup energy storage supplies power to the 5G base station.

2. A method for coordinated optimization operation of a 5G base station and a distribution network as claimed in claim 1, characterized in that: The method of dividing the entire area into a plurality of corresponding blocks according to the locations of the 5G base stations, and determining within the blocks the power distribution units for supplying power to the corresponding 5G base stations comprises: Each of the blocks includes the corresponding 5G base station and the power distribution unit, and the power distribution network of the entire area is divided into a power distribution system including the power distribution unit according to the location of the block; The structure and connection relationship of the power distribution system in each of the blocks are identified, and the location and historical power consumption data of the power consumption equipment connected to the power distribution system are determined.

3. A method for coordinated optimization operation of a 5G base station and a distribution network as claimed in claim 2, characterized in that: The identifying the structure and connection relationship of the power distribution system in each of the blocks includes: Analyzing the hierarchical relationship between the power distribution systems in the overall power distribution network; It is clear that in each of the power distribution systems, after the corresponding power distribution units are removed, the power transmission lines that supply power to each power-consuming device are identified.

4. The method for coordinated optimization operation of a 5G base station and a distribution network according to claim 1, characterized in that: The combining of the load and the historical power consumption data of each block and the power consumption feedback of the power-consuming equipment in each block at the current time point to clarify the power supply pressure of the block includes: The power consumption pattern of each electrical equipment in the block is determined through the historical data of the power distribution system, and the change trend of the power supply pressure of the block in the future period is inferred based on the historical pattern and the power consumption feedback of the electrical equipment at the current time point.

5. The method for coordinated optimization operation of a 5G base station and a distribution network according to claim 1, characterized in that: Each of the 5G base stations preliminarily receives the communication data transmitted within a preset range and processes the communication data in sequence in conjunction with other 5G base stations with low communication loads, including: The communication data is received by the 5G base station closest to the customer, and the first part of the communication data is processed. Based on the current load conditions of each 5G base station, the second part of the communication data is transferred to other 5G base stations with lower loads, and the second part of the communication data is processed by the base station.

6. The method for coordinated optimization operation of a 5G base station and a distribution network according to claim 1, characterized in that: The step of combining the feedback data obtained by the 5G base station processing the communication data in a sequential order and feeding it back to the customer includes: When the nearest 5G base station processes the first part of the communication data, the location of the 5G base station processing the second part of the communication data is immediately determined, and the remaining part of the communication data is transferred in real time through the transmission network, thereby achieving uninterrupted processing of the communication data with the help of the transmission network.

7. A method for coordinated optimization operation of a 5G base station and a distribution network as claimed in claim 6, characterized in that: The step of combining the feedback data obtained by the 5G base station processing the communication data in a sequential order and feeding it back to the customer includes: The transmission network includes an outgoing path and a return path; the data received by the multiple 5G base stations that process the communication data are transmitted in sequence to the 5G base station closest to the customer through the return path, and the received data of each segment are arranged, combined and fed back in the order of processing the communication data.

8. The method for coordinated optimization operation of a 5G base station and a distribution network as claimed in claim 7, characterized in that: The step of combining the feedback data obtained by the 5G base station processing the communication data in a sequential order and feeding it back to the customer includes: Integrate the data received by the multiple 5G base stations that process the communication data in order, and after the integration is completed, the 5G base station closest to the customer will feedback the data; An outgoing path and a return path are established, and the outgoing path is used to transfer the communication data in segments. During the communication data transfer process, the return path is used to return the data received by the 5G base station.

9. The method for coordinated optimization operation of a 5G base station and a distribution network according to claim 1, characterized in that: The reasonable arrangement of the discharge and charging time of each of the backup energy storages and whether the power distribution unit or the backup energy storage supplies power to the 5G base station includes: A curve drawn by combining the power supply pressure of each block and the load corresponding to each 5G base station; The curve simulates the optimal and most energy-saving working state of each 5G base station and the minimum impact and dependence of the 5G base station on the power distribution unit.

10. A method for coordinated optimization operation of a 5G base station and a distribution network as claimed in claim 9, characterized in that: The step of selecting the power distribution unit or the backup energy storage to supply power to each of the 5G base stations according to the curve, and determining the charging time according to the energy consumption rate and storage capacity of the backup energy storage includes: Selecting an interval in the curve in which the power distribution unit directly supplies power to the corresponding 5G base station; Selecting an interval in the curve in which the backup energy storage directly supplies power to the corresponding 5G base station; According to the curve, the power distribution unit or the backup energy storage is selected to supply power to each 5G base station, and the charging time is determined according to the energy consumption rate and storage capacity of the backup energy storage.

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