CN110210693B - Intelligent allocation system and method for water-hydrogen power generation mobile power supply vehicle - Google Patents
Intelligent allocation system and method for water-hydrogen power generation mobile power supply vehicle Download PDFInfo
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- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 claims description 23
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- GBMDVOWEEQVZKZ-UHFFFAOYSA-N methanol;hydrate Chemical compound O.OC GBMDVOWEEQVZKZ-UHFFFAOYSA-N 0.000 claims description 3
- 150000002431 hydrogen Chemical class 0.000 claims description 2
- OKKJLVBELUTLKV-UHFFFAOYSA-N Methanol Chemical compound OC OKKJLVBELUTLKV-UHFFFAOYSA-N 0.000 description 3
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Abstract
The invention discloses an intelligent allocation system and method for a water-hydrogen power generation mobile power supply vehicle. The system comprises a dispatching center positioned at a background and a plurality of mobile power supply vehicles positioned at a front end, wherein the mobile power supply vehicles are mobile power supply devices taking a water-hydrogen machine as a power supply, the dispatching center is used for movably supplying power according to the distribution position of 5G base stations in a space range needing to be supplied with power, the residual electric quantity of each 5G base station standby power supply and the communication load distribution state of the 5G base stations in a certain time interval; dividing a plurality of partitions for the 5G base stations, and determining a mobile power supply train allocation scheme of each partition; and issuing a dispatching instruction to each mobile power supply vehicle according to the mobile power supply vehicle dispatching scheme.
Description
Technical Field
The invention relates to the technical field of power supply, in particular to an intelligent allocation system and an intelligent allocation method for a water-hydrogen power generation mobile power supply vehicle.
Background
In modern power supply systems, it is possible to use mobile power supply for brief power supply in the event of a power failure of the network. The mobile power supply solves the problems of loss and inconvenience caused during the interruption of the power supply of the power grid, brings great convenience to production and life, and promotes the development and progress of the society.
The mobile communication base station provides signal coverage of telephone and data communication access networks for devices such as mobile phones and the like, is an important guarantee for normal operation of social life, and has been gradually transited to a 5G communication base station at present, so that the channel bandwidth and the communication capacity of the mobile communication base station are further upgraded, and the power consumption is increased. The 5G communication base station adopts commercial power as a conventional power supply, and the standby power supply can only support 1-1.5 hours once the commercial power is interrupted. Therefore, during the power failure of the power grid, the mobile power supply equipment can be used for supplying power to the 5G communication base station so as to prevent the communication from being interrupted. However, at present, the mobile power supply devices on the market generally use vehicles as carriers and use fossil energy generators, so that negative effects in terms of environmental pollution and the like exist.
The water-hydrogen generator (hereinafter referred to as water-hydrogen machine) is a device which takes the water solution of methanol as the raw material and leads the water solution into a fuel cell for electrochemical reaction so as to directly convert chemical energy into electric energy, has high energy conversion efficiency and no noise pollution, only discharges water and a small amount of carbon dioxide, realizes real energy conservation and environmental protection, and is considered as the mainstream of new energy power development. In view of the characteristic that the 5G communication base station is mainly located in an urban area, the water-hydrogen generator is carried on a vehicle and used as a power supply for mobile power supply, so that the environmental protection advantage is fully exerted, and the method is an ideal choice.
When a certain number of 5G base stations are powered off in a large space range, how to reasonably allocate the mobile power supply vehicles, allocate the 5G base stations responsible for each power supply vehicle, and reasonably set the sequence and charging time period of the supplementary electric energy of the base stations, so that the maximization of the uninterrupted power duration of all the base stations is ensured, and the time consumption on the journey is reduced as much as possible, which is a problem to be solved. Particularly, after the power failure, the 5G base station still keeps working, the standby power supply is in continuous consumption, the residual power quantity is continuously and dynamically changed, the power consumption speed is in proportion to the communication load of the base station on the whole, but the communication load is difficult to predict, and the higher requirements are provided for the rationality, the flexibility and the dynamic adaptability of the allocation work of the mobile power supply vehicle.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides an intelligent allocation system and an intelligent allocation method for a water-hydrogen power generation mobile power supply vehicle.
(II) technical scheme
The invention provides an intelligent allocation system of a water-hydrogen power generation mobile power supply vehicle, which comprises a dispatching center positioned at a background and a plurality of mobile power supply vehicles positioned at the front end, wherein:
the mobile power supply vehicle is a mobile power supply device taking a water hydrogen machine as a power supply, a water hydrogen raw material containing methanol water and a plurality of groups of water hydrogen machines are loaded in a carriage of the mobile power supply vehicle, and each water hydrogen machine comprises: the system comprises a kinetic hydrogen module and a power generation module, wherein the kinetic hydrogen module converts a water-hydrogen raw material into high-purity hydrogen, and the power generation module adopts a fuel cell; the mobile power supply vehicle also comprises an inverter system which is used for converting direct current generated by the fuel cell into alternating current; the mobile power supply vehicle is also provided with a monitoring system, a positioning navigation and electronic map system and a wireless communication system;
the dispatch center includes: the base station information acquisition unit is used for communicating with a management center of a communication network to acquire the distribution position of the 5G base station in a space range needing mobile power supply, the residual electric quantity of each 5G base station standby power supply and the communication load distribution state of the 5G base station in a certain time interval; the power supply demand prediction unit is used for dividing the 5G base stations into a plurality of subareas according to the distribution positions of the 5G base stations and the communication load distribution states of the base stations, and determining the power supply demand of each subarea according to the communication load amount prediction facing the subareas so as to determine the mobile power supply train allocation scheme of each subarea; and the allocation unit is used for issuing a scheduling instruction to each mobile power supply vehicle according to the allocation scheme of the mobile power supply vehicle.
Preferably, the power supply demand prediction unit preliminarily divides all the 5G base stations into macro cells according to a positional distance relationship and a coverage area of a single mobile power supply train, classifies the macro cells into sub-divisions according to distribution of communication load of each 5G base station in each macro cell over a time interval and a remaining power amount condition, and divides each macro cell into a plurality of sub-divisions, each sub-division corresponding to one mobile power supply train.
Preferably, the power supply demand prediction unit determines an electric quantity difference of remaining electric quantities of standby power supplies of two base stations in the macro cell and load synchronization rates of the two base stations; and if the electric quantity difference between the two base stations is greater than or equal to the electric quantity difference threshold value and the load synchronization rate between the two base stations is less than or equal to the synchronization rate threshold value, dividing the two base stations into the same partition in the macro cell.
Preferably, the power supply demand prediction unit determines a charging sequence and a charging time period for the mobile power supply vehicle to charge the 5G base stations in each partition according to the number of the 5G base stations in each partition, the remaining capacity condition and the distribution position.
Preferably, the power supply demand prediction unit selects the 5G base station with the least residual power as the starting base station for mobile charging according to the situation of the residual power of the backup power supply of the 5G base station in each partition; then, starting from the starting base station, the next charged base station is determined as follows: and judging M base stations closest to the current charging base station, and judging the base station with the minimum residual electric quantity as the next charging base station.
Preferably, the power demand prediction unit determines the total time O of each round of mobile power supplyt＝ot(i1)+ ot(i2)+…+ot(in) Wherein o ist(i1) To ot(in) Respectively represent the ith in the partition1To inThe charging time length distributed by each base station in the current round can be initially distributed to the same initial charging time length value for each base station; then, in ensuring OtOn the premise of being less than or equal to the upper limit value of the single-round charging time, the o can be adjusted according to the reduction rate of the residual electric quantity of each 5G base station in each round of circulation processt(i1) To ot(in) The value of (c).
Preferably, the dispatching center issues dispatching instructions to each mobile power supply train through the dispatching unit; the dispatching instruction carries the partition ID allocated by each mobile power supply vehicle, the related information of the 5G base stations in the partition, the charging sequence and the charging time length.
Preferably, the monitoring system of the mobile power supply vehicle is used for monitoring the electric energy output state and the water-hydrogen raw material storage amount state of the water-hydrogen machine in real time so as to obtain the available power generation capacity of the water-hydrogen power generation mobile power supply vehicle; a report is issued to the dispatch center when the available power generation capacity is insufficient.
Preferably, the positioning navigation and electronic map system of the mobile power supply train determines and displays the position of the power supply train and the position of the target 5G base station on a map interface, and provides route navigation for the running of the power supply train.
The invention further provides an intelligent allocation method for the water-hydrogen power generation mobile power supply vehicle, which is characterized by comprising the following steps:
obtaining the residual capacity and the distribution position in space of all 5G base stations in the space range needing mobile power supply from a communication network management center by a scheduling center, and obtaining the communication distribution load of each 5G base station;
preliminarily dividing all 5G base stations into macro cells according to the position distance relationship and the coverage area of a single mobile power supply train;
subdividing and classifying according to the distribution of real-time load data quantity of each 5G base station in each macro cell along with a time interval and the condition of residual electric quantity, dividing each macro cell into a plurality of partitions, wherein each partition corresponds to a mobile power supply train;
determining a charging sequence and a charging time length for the mobile power supply vehicle to charge the 5G base stations in each subarea according to the number, the residual electric quantity condition and the distribution position of the 5G base stations in each subarea;
and determining a mobile power supply vehicle allocation scheme according to the partition condition and the charging sequence and the charging duration of the 5G base station in each partition, and issuing a scheduling instruction to each mobile power supply vehicle.
(III) advantageous effects
Therefore, the invention provides a complete solution implemented by the water-hydrogen power generation-based mobile power supply vehicle, which is faced with the special problem of mobile power supply of the communication base station under the condition of commercial power interruption; on the equipment level, the mobile power supply vehicle taking the parallel water-hydrogen generator set as the core is configured, and information equipment such as a monitoring system, a positioning navigation and electronic map system, a wireless communication system and the like is configured, so that the up-down communication, the intelligent support and the high-dynamic scheduling in the mobile charging process can be realized; furthermore, the dispatching center of the invention applies a predictive algorithm to collect, process and analyze the data, the anticipation of the power supply demand is determined by taking the partition as a unit, the dispatching and the instruction issuing of all the mobile power supply vehicles are executed according to the anticipation, the high robustness of the mobile power supply is realized by a partition mode based on the peak load fault of the communication load and a dynamic charging sequence and time rule, and the aim of ensuring that all the base stations are maintained without power failure to the maximum extent is achieved.
Drawings
FIG. 1A is a schematic diagram of a hydrogen power supply of a mobile power supply according to an embodiment of the present invention;
fig. 1B is a schematic structural diagram of a communication and control part of a mobile power supply train according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an intelligent allocation system of a water-hydrogen power generation mobile power supply train and a dispatching center thereof according to an embodiment of the invention;
fig. 3 is a schematic flow chart of the scheduling center executing the mobile power supply vehicle scheduling.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The intelligent allocation system of the water-hydrogen power generation mobile power supply vehicle comprises a dispatching center positioned at a background and a plurality of mobile power supply vehicles positioned at the front end.
The water hydrogen power generation mobile power supply vehicle is a mobile power supply device using a water hydrogen machine as a power supply. As shown in fig. 1A, a vehicle cabin is loaded with a water-hydrogen raw material containing methanol water and a plurality of groups of water-hydrogen machines, each of which comprises: the power generation device comprises a power generation module and a hydrogen moving module. The kinetic hydrogen module converts a water-hydrogen feedstock into high purity hydrogen gas, which in turn includes a gasification system (reformer chamber) and a hydrogen gas supply line. The power generation module adopts a fuel cell, and high-purity hydrogen is input into the fuel cell and generates direct current through electrochemical reaction together with oxygen introduced from air. A plurality of water hydrogen machines are connected in parallel to form a parallel power generation system, the direct current generated by the parallel power generation system is transmitted to an inversion system, and the inversion system converts the direct current into alternating current to supply power for a 5G base station. As shown in fig. 1B, the water-hydrogen power generation mobile power supply vehicle is generally further equipped with a monitoring system, a GPS or beidou positioning navigation and electronic map system, and a wireless communication system. The monitoring system is used for monitoring the electric energy output state and the water-hydrogen raw material storage capacity state of the water-hydrogen machine in real time, so that the available power generation capacity of the water-hydrogen power generation mobile power supply vehicle is obtained. The positioning navigation and electronic map system determines and displays the position of the power supply vehicle and the position of the target 5G base station on a map interface, and provides route navigation for the driving of the power supply vehicle. The wireless communication system is used for keeping wireless communication with a dispatching center in charge of dispatching the mobile power supply vehicle, uploading the position of the power supply vehicle in real time and receiving a dispatching instruction issued by the dispatching center.
As shown in fig. 2, the dispatch center includes: the base station information acquisition unit is used for communicating with a management center of a communication network to acquire the distribution position of the 5G base station in a space range needing mobile power supply, the residual electric quantity of each 5G base station standby power supply and the communication load distribution state of the 5G base station in a certain time interval; the power supply demand prediction unit is used for dividing the 5G base stations into a plurality of subareas according to the distribution positions of the 5G base stations and the communication load distribution states of the base stations, and determining the power supply demand of each subarea according to the communication load amount prediction facing the subareas so as to determine the mobile power supply train allocation scheme of each subarea; and the allocation unit is used for issuing a scheduling instruction to each mobile power supply vehicle according to the allocation scheme of the mobile power supply vehicle.
After obtaining the residual electric quantity, the communication distribution load and the spatial distribution position of all the 5G base stations in the spatial range from the communication network management center, the dispatching center preliminarily divides all the 5G base stations into macro cells according to the position distance relationship and the coverage range of a single mobile power supply train. And then, subdividing and classifying according to the distribution of the communication load of each 5G base station in each macro cell along with a time interval and the residual capacity condition, and dividing each macro cell into a plurality of partitions, wherein each partition corresponds to one mobile power supply train. And further determining the charging sequence and the charging time length of the mobile power supply vehicle for charging the 5G base stations in the subareas according to the number of the 5G base stations in each subarea, the residual capacity condition and the distribution position.
The dispatching center is the core of the system, the server with the capacity of mass data aggregation and operation analysis is used for performing data collection, processing and analysis by applying a predictive algorithm, the expectation of power supply requirements is determined by taking a partition as a unit, and the dispatching and instruction issuing of all mobile power supply trains are performed according to the expectation.
Fig. 3 shows a flow chart of the dispatching center executing the mobile power supply vehicle dispatching. First, in step 301, the scheduling center obtains the remaining power amount and the spatially distributed positions of all 5G base stations within a spatial range where mobile power supply is required from the communication network management center, and obtains the communication distribution load of each 5G base station. Each 5G base station can report the residual electric quantity of the standby power supply to a management center of the communication network after the mains supply is interrupted; the management center registers the position information of each 5G base station when the network is arranged; and, the management center can record the load data volume of each communication base station transmitting and receiving digital communication signals in real time. The above information is shared between the communication network management center and the scheduling center of the present invention. Furthermore, the scheduling center of the present invention may count the load data amount of each 5G base station at each unit time point for a statistical time length (e.g., within half an hour) of a past period. For example, every 10 seconds is taken as a unit time point, the statistical time length (the last half hour) can be divided into T unit time points, the real-time load data volume of the 5G base station at each unit time point is determined within the statistical time length, and the recorded real-time load data volume of a certain base station i at a certain unit time point T is expressed as lt(i) And the value range of T is 1,2, … T, so that the change condition of the load data volume of the base station i in the statistical time span can be represented as a curve, and the curve of the real-time load data volume of each 5G base station is taken as the communication distribution load of the base station.
Step 302, the power supply demand prediction unit of the dispatching center preliminarily divides all the 5G base stations into macro cells according to the position distance relationship and the coverage area of the single mobile power supply train. As described above, the power supply maintaining time of the backup power supply of the 5G base station is generally 1-1.5 hours, and therefore, for all the 5G base stations in the space range where the mobile power supply vehicle needs to supply power movably, the range of the vehicle distance within which the mobile power supply vehicle travels for 1 hour according to the average road condition can be used as the coverage area of a single mobile power supply vehicle, so that the 5G base station is primarily divided into a plurality of macro cells according to the position distance relationship of the 5G base stations, and all the 5G base stations included in each macro cell are distributed within the coverage area of the single mobile power supply vehicle. A plurality of central points can be set in the space range, a single mobile power supply train coverage range is established by taking a 0.5-hour train journey range as a radius for each central point, so that the coverage ranges are not overlapped with each other and completely cover the space range, and then each 5G base station is classified into the corresponding coverage range. The macro cells are divided according to the coverage area of a single mobile power supply vehicle, one mobile power supply vehicle is not allocated to each macro cell, but the distance between the 5G base stations related to the same mobile power supply vehicle is kept within the expected vehicle distance range in the subsequent dispatching process, so that the problems that the efficiency is reduced due to the fact that the distance is too far and the 5G base stations needing power supply cannot be reached in time are avoided.
And step 303, the power supply demand prediction unit of the scheduling center subdivides and classifies each macro cell into a plurality of partitions according to the distribution of the real-time load data quantity of each 5G base station in each macro cell along a time interval and the condition of the residual power, and each partition corresponds to one mobile power supply vehicle. As introduced above, the distribution of the real-time load data amount of the 5G base station over the time interval is represented by lt(i) Then, for two 5G base stations in the same macro cell, for example, the load synchronization rate between base station i and base station j is expressed as:
wherein alpha istIs the weight value of the influence corresponding to the unit time point t, if the interval between the unit time point t and the commercial power interruption time is longer, the weight value alpha corresponding to the unit time point t is longertThe smaller the value.
Further, determining the electric quantity difference R of the remaining electric quantity of the standby power supply of two base stations, such as the base station i and the base station j; if the electric quantity difference R between the two is larger than or equal to the electric quantity difference threshold value RthAnd the load synchronization rate S (l (i), l (j)) between the base station i and the base station j is less than or equal to the synchronization rate threshold SthThen, it is considered that two base stations i and j meeting the above conditions can be classified into the same partition in the macrocell. Therefore, the electric quantity difference of the two base stations has initial difference, and the synchronous rate of the communication loads of the two base stations is low, so that the electric quantity consumption of the two base stations has relatively obvious peak staggering, and the two base stations are classified into the same subarea, so that the situation that the single mobile power supply vehicle cannot meet the requirement due to the fact that the two base stations need to supply power urgently is avoided. In this way, all base stations in the macro cell can be divided into a plurality of subareas by traversing, and a mobile power supply vehicle supplies power to the base stations in each subarea in turn. Since the number of base stations that can be served by a mobile power supply train is limited, the maximum number of sites per base station can be set for a macro cell; when the number of the base stations which are divided into one subarea according to the rule reaches the maximum site number, the subarea division is completed, and then the division of a new subarea is started from the next base station.
Step 304, the power supply demand prediction unit of the dispatching center determines the charging sequence and the charging duration of the mobile power supply vehicle for charging the 5G base stations in the subarea according to the number of the 5G base stations in each subarea, the residual capacity condition and the distribution position. Firstly, selecting a 5G base station with the minimum residual capacity as a starting point base station for mobile charging according to the residual capacity condition of a standby power supply of the 5G base station in each subarea; then, starting from the starting base station, the next charged base station is determined as follows: and judging M base stations closest to the current charging base station, and judging the base station with the minimum residual electric quantity as the next charging base station. The value of M can be set to any one of 1-5, and can be determined according to the number of base stations in a partition and the average distance between the base stations, the larger the number of base stations in the partition, the larger the value of M, the larger the average distance of the base stations, the smaller the value of M, and the appropriate value of M can be selected according to the above two factors. Thus, the charging order in which the mobile power supply train charges all the base stations in each partition is determined. If the commercial power supply is not recovered after the mobile power supply vehicle sequentially executes one round of power supply, repeating the second round of power supply; of course, if the water hydrogen storage capacity of the mobile power supply vehicle is insufficient in the process of performing mobile power supply wheel by wheel, the mobile power supply vehicle can report to the dispatching center through the wireless communication system, and the dispatching center sends out a new mobile power supply vehicle to replace the mobile power supply vehicle, and continues the process of circularly supplying power.
Furthermore, for the charging time allocated to each base station in each round of mobile power supply, the total time O of each round of mobile power supply is determined firstlyt＝ot(i1)+ot(i2)+…+ot(in) Wherein o ist(i1) To ot(in) Respectively represent the ith in the partition1To inThe charging time length allocated by each base station in the current round may be initially allocated to each base station by the same initial charging time length value. And setting an upper limit value of the single-round charging time, wherein the upper limit value of the single-round charging time is not required to exceed the available time considering that the available time of the 5G base station standby power supply is generally 1-1.5 hours. At the time of ensuring OtOn the premise of being less than or equal to the upper limit value of the single-round charging time, the o can be adjusted in the process of each round of circulationt(i1) To ot(in) For example, the scheduling center may receive the real-time status of the remaining power of each 5G base station in the partition in real time through the base station information obtaining unit, analyze the decreasing rate of the remaining power of each 5G base station, and set an adjustment weight γ, i.e., O, for the charging duration of each base station according to the decreasing ratet＝γ1ot(i1)+γ2ot(i2)+…+γnot(in)，γ1To gammanIs corresponding to the ith1To inThe adjusted weights of the individual base stations. Specifically, the change rate of the remaining capacity of each base station in a unit time length (for example, every 1 minute) is counted for each base station, and the average value of the change rates of the remaining capacities of all the base stations in the subarea in the unit time length is calculated; if the change rate of one base station is greater than the average value, reducing the corresponding adjustment weight values of other base stations arranged in front of the base station according to the power supply sequence; conversely, if the rate of change of one of the base stations is less than the average value, then it may beAnd increasing the corresponding adjusting weight values of other base stations arranged in front of the base station, thereby determining the charging time distributed by each base station in each round of mobile power supply through the dynamic adjusting mechanism.
305, determining a mobile power supply vehicle allocation scheme by the scheduling center according to the partition condition and the charging sequence and the charging duration of the 5G base station in each partition, and issuing a scheduling instruction to each mobile power supply vehicle through an allocation unit; the scheduling instruction carries the partition ID allocated by each mobile power supply vehicle, and the related information of the 5G base stations in the partition, such as the position of each 5G base station, and also carries the charging sequence and the charging time length. As described above, the charging sequence and the charging period vary between different rounds of mobile charging, and the charging period varies dynamically during each round of mobile charging. Therefore, the dispatching center can issue an updated dispatching scheme to the mobile power supply vehicle in real time through the dispatching unit. The mobile power supply vehicle carries out charging operation for the 5G base stations in the subareas in charge in each round according to the charging sequence and the charging time length specified by the allocation scheme.
Therefore, the invention provides a complete solution implemented by the water-hydrogen power generation-based mobile power supply vehicle, which is faced with the special problem of mobile power supply of the communication base station under the condition of commercial power interruption; on the equipment level, the mobile power supply vehicle taking the parallel water-hydrogen generator set as the core is configured, and information equipment such as a monitoring system, a positioning navigation and electronic map system, a wireless communication system and the like is configured, so that the up-down communication, the intelligent support and the high-dynamic scheduling in the mobile charging process can be realized; furthermore, the dispatching center of the invention applies a predictive algorithm to collect, process and analyze the data, the anticipation of the power supply demand is determined by taking the partition as a unit, the dispatching and the instruction issuing of all the mobile power supply vehicles are executed according to the anticipation, the high robustness of the mobile power supply is realized by a partition mode based on the peak load fault of the communication load and a dynamic charging sequence and time rule, and the aim of ensuring that all the base stations are maintained without power failure to the maximum extent is achieved.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. The utility model provides a water hydrogen power generation removes power supply car intelligence allotment system, is including being located the dispatch center of backstage and being located a plurality of removal power supply cars of front end, wherein:
the mobile power supply vehicle is a mobile power supply device taking a water hydrogen machine as a power supply, a water hydrogen raw material containing methanol water and a plurality of groups of water hydrogen machines are loaded in a carriage of the mobile power supply vehicle, and each water hydrogen machine comprises: the system comprises a kinetic hydrogen module and a power generation module, wherein the kinetic hydrogen module converts a water-hydrogen raw material into high-purity hydrogen, and the power generation module adopts a fuel cell; the mobile power supply vehicle also comprises an inverter system which is used for converting direct current generated by the fuel cell into alternating current; the mobile power supply vehicle is also provided with a monitoring system, a positioning navigation and electronic map system and a wireless communication system;
the dispatch center includes: the base station information acquisition unit is used for communicating with a management center of a communication network to acquire the distribution position of the 5G base station in a space range needing mobile power supply, the residual electric quantity of each 5G base station standby power supply and the communication load distribution state of the 5G base station in a certain time interval; a power supply demand prediction unit for counting the load data amount of each 5G base station at each unit time point in the past period of counting time, the real-time load data amount of the 5G base station at each unit time point, and expressing the recorded real-time load data amount of a certain base station i at a certain unit time point t as lt(i) Wherein the value range of T is 1,2, … T, all 5G base stations are preliminarily divided into macro cells according to the position distance relationship and the coverage range of a single mobile power supply vehicle, all 5G base stations contained in each macro cell are distributed in the coverage range of the single mobile power supply vehicle, so that the coverage ranges are not overlapped with each other and completely cover the space range, then each 5G base station is classified into the corresponding coverage range, and the coverage ranges are classified into the macro cells according to the coverage ranges in each macro cellThe distribution of real-time load data quantity of each 5G base station along with a time interval and the condition of residual capacity are subdivided and classified, each macro cell is divided into a plurality of subareas, each subarea corresponds to one mobile power supply vehicle, and the load synchronization rate between a base station i and a base station j in the same macro cell is expressed as follows:
wherein alpha istIs the weight value of the influence corresponding to the unit time point t, if the interval between the unit time point t and the commercial power interruption time is longer, the weight value alpha corresponding to the unit time point t is longertThe smaller the value is, the electric quantity difference R of the residual electric quantity of the standby power supplies of the base station i and the base station j is determined; if the electric quantity difference R between the two is larger than or equal to the electric quantity difference threshold value RthAnd the load synchronization rate S (l (i), l (j)) between the base station i and the base station j is less than or equal to the synchronization rate threshold SthThe two base stations i and j meeting the conditions can be divided into the same subarea in the macro cell, so that all the base stations in the macro cell can be divided into a plurality of subareas by traversing, and the charging sequence and the charging duration of the mobile power supply vehicle for charging the 5G base stations in the subareas are determined according to the number, the residual electric quantity condition and the distribution position of the 5G base stations in each subarea; selecting the 5G base station with the minimum residual capacity as a starting base station for mobile charging according to the residual capacity condition of the standby power supply of the 5G base station in each subarea; then, starting from the starting base station, the next charged base station is determined as follows: judging M base stations closest to the current charging base station, and judging the base station with the minimum residual electric quantity as a next charging base station; the value of M can be set to any one of 1-5, and can be determined according to the number of base stations in a partition and the average distance between the base stations, the larger the number of the base stations in the partition is, the larger the value of M is, the larger the average distance of the base stations is, the smaller the value of M is, and a proper value of M can be selected according to the above two factors; wherein, for the charging time distributed by each base station in each round of mobile power supply, each round of mobile power supply is firstly determinedTotal time of power supply Ot＝ot(i1)+ot(i2)+…+ot(in) Wherein o ist(i1) To ot(in) Respectively represent the ith in the partition1To inThe charging time length distributed by each base station in the current round can be initially distributed to the same initial charging time length value for each base station; setting the upper limit value of the charging time of the single round to ensure OtOn the premise of being less than or equal to the upper limit value of the single-round charging time, the o can be adjusted in the process of each round of circulationt(i1) To ot(in) Analyzing the decreasing rate of the remaining capacity of each 5G base station, and setting an adjusting weight gamma, namely O, for the charging duration of each base station according to the decreasing ratet＝γ1ot(i1)+γ2ot(i2)+…+γnot(in)，γ1To gammanIs corresponding to the ith1To inThe adjustment weight of each base station is used for counting the change rate of the residual electric quantity of each base station in unit time length and calculating the average value of the change rates of the residual electric quantities of all the base stations in the subarea in the unit time length; if the change rate of one base station is greater than the average value, reducing the corresponding adjustment weight values of other base stations arranged in front of the base station according to the power supply sequence; on the contrary, if the change rate of one of the base stations is smaller than the average value, the adjustment weight values corresponding to other base stations arranged in front of the base station can be increased, so that the charging time distributed by each base station in each round of mobile power supply process is determined through the dynamic adjustment mechanism; and the allocation unit is used for issuing a scheduling instruction to each mobile power supply vehicle according to the allocation scheme of the mobile power supply vehicle.
2. The intelligent water-hydrogen power generation mobile power supply vehicle allocation system according to claim 1, wherein the scheduling center issues scheduling instructions to each mobile power supply vehicle through an allocation unit; the dispatching instruction carries the partition ID allocated by each mobile power supply vehicle, the related information of the 5G base stations in the partition, the charging sequence and the charging time length.
3. The intelligent allocation system for the water-hydrogen power generation mobile power supply vehicle according to claim 2, wherein the monitoring system of the mobile power supply vehicle is used for monitoring the electric energy output state and the water-hydrogen raw material storage capacity state of the water-hydrogen machine in real time, so as to obtain the available power generation capacity of the water-hydrogen power generation mobile power supply vehicle; a report is issued to the dispatch center when the available power generation capacity is insufficient.
4. The intelligent allocation system for the water-hydrogen power generation mobile power supply vehicle according to claim 3, wherein the positioning navigation and electronic map system of the mobile power supply vehicle determines and displays the position of the power supply vehicle and the position of the target 5G base station on a map interface, and provides route navigation for the running of the power supply vehicle.
5. The intelligent allocation method for the water-hydrogen power generation mobile power supply vehicle is characterized by comprising the following steps of:
obtaining the residual capacity and the distribution position in space of all 5G base stations in the space range needing mobile power supply from a communication network management center by a scheduling center, and obtaining the communication distribution load of each 5G base station;
preliminarily dividing all 5G base stations into macro cells according to the position distance relationship and the coverage area of a single mobile power supply train; counting the load data amount of each 5G base station at each unit time point in the past counting time length, representing the real-time load data amount of the 5G base station at each unit time point as lt(i) The value range of T is 1,2, … T, all 5G base stations are preliminarily divided into macro cells according to the position distance relationship and the coverage range of a single mobile power supply vehicle, all 5G base stations contained in each macro cell are distributed in the coverage range of the single mobile power supply vehicle, all the coverage ranges are enabled to be mutually non-overlapped and completely cover the space range, and then each 5G base station is classified into the corresponding coverage range;
subdividing and classifying the real-time load data quantity of each 5G base station in each macro cell along with the distribution of time intervals and the residual capacity condition, dividing each macro cell into a plurality of subareas, wherein each subarea corresponds to a mobile power supply vehicle, and the load synchronization rate between a base station i and a base station j in the same macro cell is expressed as follows:
wherein alpha istIs the weight value of the influence corresponding to the unit time point t, if the interval between the unit time point t and the commercial power interruption time is longer, the weight value alpha corresponding to the unit time point t is longertThe smaller the value is, the electric quantity difference R of the residual electric quantity of the standby power supplies of the base station i and the base station j is determined; if the electric quantity difference R between the two is larger than or equal to the electric quantity difference threshold value RthAnd the load synchronization rate S (l (i), l (j)) between the base station i and the base station j is less than or equal to the synchronization rate threshold SthIf the base stations i and j meet the conditions, the two base stations i and j can be divided into the same partition in the macro cell, so that all the base stations in the macro cell can be divided into a plurality of partitions by traversing;
determining a charging sequence and a charging time length for the mobile power supply vehicle to charge the 5G base stations in each subarea according to the number, the residual electric quantity condition and the distribution position of the 5G base stations in each subarea; selecting the 5G base station with the minimum residual capacity as a starting base station for mobile charging according to the residual capacity condition of the standby power supply of the 5G base station in each subarea; then, starting from the starting base station, the next charged base station is determined as follows: judging M base stations closest to the current charging base station, and judging the base station with the minimum residual electric quantity as a next charging base station; the value of M can be set to any one of 1-5, and can be determined according to the number of base stations in a partition and the average distance between the base stations, the larger the number of the base stations in the partition is, the larger the value of M is, the larger the average distance of the base stations is, the smaller the value of M is, and a proper value of M can be selected according to the above two factors; wherein, for the charging time distributed by each base station in each round of mobile power supply process, firstly, the charging time is confirmedDetermining the total time O of each round of mobile power supplyt＝ot(i1)+ot(i2)+…+ot(in) Wherein o ist(i1) To ot(in) Respectively represent the ith in the partition1To inThe charging time length distributed by each base station in the current round can be initially distributed to the same initial charging time length value for each base station; setting the upper limit value of the charging time of a single round, and adjusting the charging time of the single round in the process of each round of circulation on the premise of ensuring that the charging time of the single round is less than or equal to the upper limit valuet(i1) To ot(in) Analyzing the decreasing rate of the remaining capacity of each 5G base station, and setting an adjusting weight gamma, namely O, for the charging duration of each base station according to the decreasing ratet＝γ1ot(i1)+γ2ot(i2)+…+γnot(in)，γ1To gammanIs corresponding to the ith1To inThe adjustment weight of each base station is used for counting the change rate of the residual electric quantity of each base station in unit time length and calculating the average value of the change rates of the residual electric quantities of all the base stations in the subarea in the unit time length; if the change rate of one base station is greater than the average value, reducing the corresponding adjustment weight values of other base stations arranged in front of the base station according to the power supply sequence; on the contrary, if the change rate of one of the base stations is smaller than the average value, the adjustment weight values corresponding to other base stations arranged in front of the base station can be increased, so that the charging time distributed by each base station in each round of mobile power supply process is determined through the dynamic adjustment mechanism;
and determining a mobile power supply vehicle allocation scheme according to the partition condition and the charging sequence and the charging duration of the 5G base station in each partition, and issuing a scheduling instruction to each mobile power supply vehicle.
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| CN112688351A (en) * | 2020-12-25 | 2021-04-20 | 安徽省安泰科技股份有限公司 | Industrial internet-based park energy scheduling system and implementation method thereof |
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