CN116131299A

CN116131299A - Site power backup method, device and system

Info

Publication number: CN116131299A
Application number: CN202211695097.3A
Authority: CN
Inventors: 蒋勃茏; 林子聿; 栾一志; 徐灏; 翟心愿
Original assignee: Huawei Digital Power Technologies Co Ltd
Current assignee: Huawei Digital Power Technologies Co Ltd
Priority date: 2022-12-28
Filing date: 2022-12-28
Publication date: 2023-05-16

Abstract

The site power supply method is applied to a site management system, and the site management system comprises energy storage equipment and power distribution equipment, wherein the power distribution equipment comprises N open circuits, and the N open circuits are used for connecting M loads; n, M is a positive integer; the method comprises the following steps: acquiring standby electricity time lengths of M loads; acquiring the residual battery capacity of the energy storage device; acquiring the standby capacitance of each load according to the standby electricity duration of M loads; and controlling N empty switches in the power distribution equipment according to the residual battery capacity and the standby capacity of each load, and electrifying the load with the standby electricity duration shorter than that of other loads in the M loads. According to the method and the device, future energy consumption is predicted, dynamic capacity satisfaction is evaluated according to the standby electricity duration of different loads, standby electricity is performed towards a load running state, and the load is powered down dynamically according to the continuous change of the load running state and the residual battery capacity, so that accurate standby electricity for the load is realized.

Description

Site power backup method, device and system

Technical Field

The application relates to the field of intelligent energy, in particular to a station electricity preparation method, device and system.

Background

When the normal power supply is cut off, the power supply required to maintain the electrical device or some part of its load for unsafe reasons is called standby power. The power supply capacity of the standby power supply is equivalent to that of the main power supply, and the work tasks of the main power supply can be continuously and completely completed; the capacity of the emergency power supply is relatively smaller, and only a part of power supply tasks of the main power supply can be completed in an emergency. A common backup power source is a battery.

At present, a common standby measure for a digital energy station after an alternating current power grid fails is to switch from an idle state to a battery state. After the AC/DC power failure, the idle power supply mode is switched from the commercial power to the battery. Because the capacity of the battery configured by the digital energy station is limited, when the battery is powered, state data such as voltage, electric quantity or capacity corresponding to the idle state is collected, and after the value of the state data such as voltage, electric quantity or capacity on the idle state reaches or meets the threshold requirement of the standby power parameter, the idle state is powered down, and the battery does not power the idle state any more. The standby power parameters of the air switch can be set in advance: such as a voltage power-down parameter (in V), an electrical power-down parameter (in a), a capacity power-down parameter (in kw-hours), and the like.

The standby electric parameters of the air switch need to be set in advance, and how to set the standby electric parameters more accurately is a problem to be considered. The equipment of the existing network has important and secondary parts, and the standby power for the differentiation of different equipment is also urgently needed by users. Therefore, how to improve the intelligent capability of accurate preparation of electricity after alternating current power failure and to ensure the smooth operation of important equipment preferentially is a problem to be solved urgently.

Disclosure of Invention

In order to solve the above problems, the embodiments of the present application provide a method, an apparatus, and a system for site power backup.

In a first aspect, an embodiment of the present application provides a station power backup method, which is applied to a station management system, where the station management system includes an energy storage device and a power distribution device, and the power distribution device includes N open switches, where the N open switches are used to connect M loads; n, M is a positive integer; the method comprises the following steps: acquiring standby electricity time lengths of M loads; acquiring the residual battery capacity of the energy storage device; acquiring the standby capacitance of each load according to the standby electricity duration of M loads; and controlling N empty switches in the power distribution equipment according to the residual battery capacity and the standby capacity of each load, and electrifying the load with the standby electricity duration shorter than that of other loads in the M loads. Therefore, the method and the device predict future energy consumption and evaluate the capability satisfaction degree of the dynamic state according to the standby electricity time length of different loads, perform standby electricity facing the load running state, dynamically power down the load according to the continuous change of the load running state and the residual battery capacity, and therefore achieve accurate standby electricity for the load, and are flexible in scheduling and high in intelligent degree.

In some embodiments, the station power backup method further comprises: setting priority according to standby electricity time of M loads; the priority of the load with long standby power is higher than that of the load with long standby power in the M loads. Therefore, the priority level of the load backup power can be evaluated according to the backup power time periods of different loads.

In some embodiments, the priority is set according to the standby power duration of the M loads, and further including: setting a power-down priority load according to the standby power duration of the M loads; sequencing M loads according to the order of priority from high to low; obtaining the sum of the spare capacity of the first m loads and the sum of the spare capacity of the first m+1 loads; m is an integer less than M; and setting the M-M loads as power-down priority loads after the first M loads are set in response to the sum of the standby capacities of the first M loads being smaller than or equal to the residual battery capacity and the sum of the standby capacities of the first m+1 loads being larger than the residual battery capacity. Therefore, the priority level of the backup power of the load can be evaluated according to the backup power time of different loads, the backup power is realized facing to the load running state, and the accurate backup power strategy is set.

In some embodiments, determining the remaining battery capacity of the energy storage device comprises: acquiring an SOH value, an SOC value and rated capacity of a battery at the current moment; calculating the remaining battery capacity: remaining battery capacity=rated capacity SOH SOC. Therefore, the real-time residual battery capacity of the energy storage device can be dynamically obtained.

In some embodiments, determining the remaining battery capacity of the energy storage device further comprises: acquiring an upper limit value of the residual battery capacity according to the residual battery capacity; the upper limit value of the remaining battery capacity is: residual battery capacity × (100+ float value)%; the float value is obtained from a grid quality level determined from the grid power record. Therefore, the threshold value of the residual battery capacity of the energy storage device in real time can be dynamically obtained, and the quality of the power grid is taken into consideration by an algorithm.

In some embodiments, determining the remaining battery capacity of the energy storage device comprises: the method for obtaining the standby capacitance of each load according to the standby time length of M loads comprises the following steps: and calculating and determining the standby capacitance of each load according to the predicted power value and the standby electricity duration of each load. Therefore, the future energy consumption can be predicted according to the standby electricity time length of different loads.

In some embodiments, determining the backup capacity of each load based on the predicted power value and the backup time period calculation for each load includes: dividing the standby time length into L time periods according to the existing power consumption data of the load, wherein L is a positive integer; determining a predicted power value for each period; obtaining the predicted power consumption of the load in each period according to the predicted power value in each period; and accumulating and summing the predicted power consumption of the L time periods to obtain the standby capacity of each load. The future energy consumption of each load can be predicted in a fine-grained manner, and the power is prepared for the load.

In some embodiments, the station power backup method further comprises: and periodically obtaining the residual battery capacity of the energy storage device, the standby electricity duration and standby capacitance of each load and the power-down priority load. Therefore, the power backup can be realized facing to the load running state, and the power is dynamically powered down and flexibly scheduled according to the load running state and the continuous change of the residual battery capacity.

In some embodiments, controlling N idle switches in the power distribution device according to the remaining battery capacity and the standby capacity of each load, powering down a load with a standby duration shorter than that of other loads in the M loads, including: when the remaining battery capacity is less than the sum of the backup capacities of one or more of the M loads, one or more idle switches in the power distribution equipment are controlled to enable the low-priority load to be powered down first. Therefore, the accurate power preparation strategy can be realized according to the power preparation priority of the load and the future energy consumption prediction.

In some embodiments, controlling one or more air switches in the power distribution device to power down the power down priority load comprises: controlling one or more air switches in the power distribution device causes one or more low priority loads in the power down priority loads to power down. Therefore, after the spare capacity requirement of the load with high priority is met according to the residual battery capacity, the power can be supplied to the load with high priority in the power-down priority list until the residual battery capacity is used up, differential spare power is realized, and the purpose of accurate power preparation is achieved.

In some embodiments, the energy storage device comprises a lithium battery that discharges to provide differential backup for the plurality of loads after a mains outage. Therefore, the lithium battery can be used for preparing electricity after the mains supply fails.

In some embodiments, the power distribution device further includes an iDMU and/or a dc power distribution unit, where the iDMU and/or the dc power distribution unit respectively control the plurality of air switches to provide differential backup power to the plurality of loads through the energy storage device after the utility power fails. Thus, the power distribution equipment can execute differential power backup, and a fine power backup strategy is realized.

In a second aspect, an embodiment of the present application provides a power distribution device for station backup, where the power distribution device controls power on of a plurality of air switches to provide differential backup for a plurality of loads, and the device includes: the time length determining module is used for determining the standby time length of each load in the plurality of loads; the residual capacity determining module is used for determining the residual battery capacity of the energy storage device; the energy consumption prediction module is used for determining the standby capacitance of each load according to the standby electricity duration of each load; and the power-down module is used for enabling the standby time length of the plurality of loads to be shorter than the power-down time of the loads of other loads according to the residual battery capacity and the standby capacitance of each load.

An embodiment of the present application provides a station management system, where the station management system includes an energy storage device and a station power-backup power distribution device as in the second aspect, where the station power-backup power distribution device is configured to execute the method as in any one of the first aspect, and after a mains supply fails, control a plurality of open powers to power up respectively, and provide differential power backup for a plurality of loads by discharging the energy storage device.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments disclosed in the present specification, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only examples of the embodiments disclosed in the present specification, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

The drawings that accompany the detailed description can be briefly described as follows.

Fig. 1 is an application scenario schematic diagram of a station power backup method provided in an embodiment of the present application;

fig. 2 is a flowchart of a station power backup method provided in embodiment 1 of the present application;

FIG. 3 is a schematic diagram of predicted load power for the next 24 hours;

fig. 4 is a schematic diagram of determining power-up of loads 1, 2, and 3 according to the station power-up method provided in embodiment 2 of the present application;

fig. 5 is a schematic diagram of determining that the load 1 is powered down by the station power-backup method provided in embodiment 2 of the present application;

fig. 6 is a schematic diagram of determining that the load 2 is powered down by the station power-backup method provided in embodiment 2 of the present application;

fig. 7 is a schematic diagram of a power backup device according to an embodiment of the present application;

FIG. 8 is a schematic diagram of a site management system according to an embodiment of the present disclosure;

FIG. 9 is a schematic diagram of a computing device according to an embodiment of the present application;

FIG. 10 is a schematic diagram of a computing device cluster according to an embodiment of the present disclosure;

fig. 11 is a schematic diagram of a connection manner between clusters of computing devices according to an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be described below with reference to the accompanying drawings.

In the description of embodiments of the present application, words such as "exemplary," "such as" or "for example," are used to indicate by way of example, illustration, or description. Any embodiment or design described herein as "exemplary," "such as" or "for example" is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary," "such as" or "for example," etc., is intended to present related concepts in a concrete fashion.

In the description of the embodiments of the present application, the term "and/or" is merely an association relationship describing an association object, and indicates that three relationships may exist, for example, a and/or B may indicate: a alone, B alone, and both A and B. In addition, unless otherwise indicated, the term "plurality" means two or more. For example, a plurality of systems means two or more systems, and a plurality of terminals means two or more terminals.

Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating an indicated technical feature. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.

In the description of the embodiments of the present application, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is to be understood that "some embodiments" may be the same subset or a different subset of all possible embodiments and may be combined with each other without conflict.

In the description of the embodiments of the present application, the terms "first\second\third, etc." or module a, module B, module C, etc. are used merely to distinguish similar objects and do not represent a particular ordering for the objects, it being understood that particular orders or precedence may be interchanged as allowed so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein.

In the description of the embodiment of the present application, reference numerals indicating steps, such as tables of S110, S120, etc., do not necessarily indicate that the steps are performed in this order, and the order of the steps may be interchanged or performed simultaneously where allowed.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the present application only and is not intended to be limiting of the present application.

The prior art can aim at an idle standby power mode, the processing strategies of different modes are similar, and the standby power mode is exemplified by a standby power mode of power down capacity. The capacity power-down refers to judging according to the capacity of the lithium battery, and when the residual capacity of the lithium battery reaches a set threshold value, the normal operation of a load is not supported, and the intelligent air-on/off switch cuts off the power supply of the battery.

In the prior art, the IoT site has lithium batteries, 1 intelligent electricity management unit (intelligentdistributedManagementUnit, iDMU) 11 linked to the lithium batteries, and multiple intelligent air-backs on the idmu 11. Only 3 intelligent air switches A, B and C in the multipath intelligent air switches are respectively connected with a load, the output end of the intelligent air switch A is connected with a load a, the output end of the intelligent air switch B is connected with a load B, and the output end of the intelligent air switch C is connected with a load C. The operation and maintenance personnel only need to set the lower capacitance for the 3 intelligent air switches when setting the different lower capacitances for the different intelligent air switches. The lower capacitance of the intelligent air switch A is 90%, the lower capacitance of the intelligent air switch B is 80% and the lower capacitance of the intelligent air switch C is 70% respectively. When the alternating current power grid fails, the intelligent air switch A, B and the intelligent air switch C are powered on. After the intelligent air switch A, B and the intelligent air switch C are electrically conducted, the load a, the load b and the load C are powered by the lithium battery to maintain normal operation. The intelligent idle switch A, B and the intelligent idle switch C collect the residual capacity of the lithium battery in real time, and when the residual capacity of the lithium battery reaches 90%, the intelligent idle switch A is powered down; similarly, when the residual capacity of the lithium battery reaches 80%, the intelligent air switch B is powered down, and when the residual capacity of the lithium battery reaches 70%, the intelligent air switch C is powered down.

In the prior art, aiming at the performance parameter configuration standby power mode of the battery, the factors such as the running state of a load and the like are not considered during standby power. However, from the perspective of customers, how long loads such as wireless devices, transmission devices, temperature control devices, etc. on the IoT site need to run after an ac outage, respectively, is a more important indicator. The current technical scheme cannot be used for carrying out power backup facing to a load running state, the intelligent performance is not enough, the quality of a power grid is good or bad, and the power grid quality is not taken into consideration in the process of power backup.

The embodiment of the application provides a station power backup method which can dynamically power down a load according to the continuous change of the running state of the load and the capacity of a battery. According to the station power backup method provided by the embodiment of the application, the future energy consumption is predicted and the dynamic capacity satisfaction degree is evaluated according to the input power backup time length and the historical power grid quality, so that the accurate power backup for the load can be realized under the condition of power failure of an alternating current power supply.

The embodiment of the application provides a station power backup method which is applied to a station management system, wherein the station management system comprises energy storage equipment and power distribution equipment, and N idle switches are used for connecting M loads; n, M is a positive integer; the method comprises the following steps: acquiring standby electricity time lengths of M loads; acquiring the residual battery capacity of the energy storage device; acquiring the standby capacitance of each load according to the standby electricity duration of M loads; and controlling N empty switches in the power distribution equipment according to the residual battery capacity and the standby capacity of each load, and electrifying the load with the standby electricity duration shorter than that of other loads in the M loads. According to the method and the device, future energy consumption is predicted, dynamic capacity satisfaction is evaluated according to the standby electricity duration of different loads, standby electricity is performed towards a load running state, and the load is powered down dynamically according to the continuous change of the load running state and the residual battery capacity, so that accurate standby electricity for the load is realized.

Fig. 1 is an application scenario schematic diagram of a site power backup method provided in an embodiment of the present application, as shown in fig. 1, a site management system (NetEco) is a system that is pushed out for infrastructure management of an energy site, deployed on a server, a virtual machine, and public cloud, and implements management functions of power, environment, real-time data of energy consumption, equipment status, alarm, and the like of the energy site, and issues differentiated power backup policies. The site management system supports various views and report presentations, and a user can conveniently check the real-time state of the energy site center equipment. The site management system may be referred to as a cloud.

The site management system is communicatively connected to an Iot gateway or an intelligent system management unit (SCC 800), or the like.

The system comprises an energy storage device, a power distribution device and a site management system, wherein the IoT gateway is an intermediate controller of the energy storage device, the power distribution device and the site management system, and has the capability of constructing a network based on an IP (Internet protocol) and a 4G (fourth generation) module platform, and is connected with the site management system in a northbound mode through the IP and the 4G network, and is connected with the energy storage device and the Modbus in a southerly mode through a CAN (controller area network) protocol, so that data of the energy storage device and the power distribution device are reported to the site management system, and differentiated standby power strategies issued by the site management system are downloaded to the power distribution device.

SCC800 supports access to various power and environment monitoring devices, such as electric meters, cameras, various sensors and the like, and reports monitoring data to a site management system in real time, and the differentiated standby power strategy issued by the site management system is downloaded to power distribution equipment.

The power distribution device may be one or a combination of an intelligent power management unit (intelligent distributed management unit, iDMU), a direct current power distribution unit DCDB, a 5G plug frame power supply, a blade power supply, and the like.

The iDMU is used for carrying out shunt metering management, differential standby power management and the like. And the shunt metering management is used for controlling each air-break and/or intelligent air-break to detect and report data such as current, power, energy consumption and the like. The differentiated standby power management refers to executing a differentiated standby power strategy issued by a site management system, and independently powering down each air switch and/or intelligent air switch according to the running state of a load. The iDMU can also be used as a differential standby unit, and the outage sensor is connected into a site management system.

The intelligent air switch is a product which is networked by taking a traditional air switch (air circuit breaker) as a carrier. The intelligent air switch utilizes an internet of things (IoT) technology to combine the air switch with an IoT module to monitor electrical parameters such as voltage, current, power and the like in real time.

The direct current power distribution unit (direct current distributionboard, DCDB) is a direct current power distribution unit of an embedded power supply system, can be used for site capacity expansion transformation scenes, and can meet the requirements of equipment differential standby power, accurate metering of electric quantity, on-demand power generation and the like.

In a normal state, the commercial power supplies power to the load. Under the condition of mains supply power failure, the energy storage equipment supplies power for a load through the power distribution equipment.

The power distribution device may be an iDMU, an input power source of the iDMU is a lithium battery (energy storage device), and the iDMU controls the plurality of intelligent air switches to be switched to the lithium battery to provide differential standby power for the plurality of loads respectively. The intelligent air switch monitors electric parameters of a plurality of connected loads such as voltage, current, power and the like in real time, and uploads monitoring results. The iDMU meters the energy consumption (kwh) of all loads and reports the metering result to the site management system.

The load may be, for example, a baseband processing unit BBU, a remote radio unit RRU and/or an active antenna unit AAU.

Example 1

Fig. 2 is a flowchart of a station power backup method provided in embodiment 1 of the present application. As shown in fig. 2, the station power backup method includes the following steps.

S21, determining a power failure state of the mains supply, and starting discharging the energy storage equipment.

In some implementations, the power distribution device begins discharging the energy storage device based on the power outage detected by the outage sensor.

The power distribution device is an iDMU, the energy storage device is a lithium battery, and the iDMU switches each air switch/intelligent air switch to power a load by the lithium battery according to the fact that the electric power outage is detected by the power outage sensor.

S22, acquiring standby electricity time lengths of a plurality of loads. The plurality of loads may be denoted as M loads.

In some implementations, the priority is set according to the standby power durations of the M loads; the priority of the load with long standby power is higher than that of the load with long standby power in the M loads.

The load comprises a baseband processing unit BBU, a remote radio unit RRU and an active antenna unit AAU, wherein the standby electricity duration of the BBU is 6h, the standby electricity duration of the RRU is 5h, the standby electricity duration of the AAU is 4 h, and the priority order is determined according to the standby electricity duration to be that the priority level of the BBU is higher than the level of the RRU and higher than the level of the AAU.

In some implementations, the power up duration and priority may be set through an interface.

In some implementations, the power up duration and priority are determined by way of a background or script.

Illustratively, the secondary power-down BLVD defaults to the first priority.

In the daily operation process of the communication equipment, after the mains supply fails, a battery in the communication power supply is responsible for supplying power to a load. After the storage battery is powered for a period of time, the mains supply is not recovered, in order to prolong the power supply to the main load, the power supply to the secondary load is disconnected, and the power is once powered down and recorded as LLVD; when the storage battery continues to discharge to a certain extent, in order to protect the storage battery from being damaged, the connection between the storage battery and all loads is disconnected, and secondary power-down is performed, and the storage battery is marked as BLVD.

In some implementations, the priority may be custom determined.

For example, the lower the priority value of the priority, the higher the priority, the priority of the BBU is set to 1, the priority of the RRU is set to 2, the priority of the AAU is set to 3, and the priority order is that the level of the BBU is higher than the level of the RRU and higher than the level of the AAU.

S23, determining the residual battery capacity of the energy storage device.

In some implementations, the energy storage device is a lithium battery, and the remaining battery capacity of the energy storage device may be determined through the following steps S231-S233.

S231, the state of health (SOH), the state of charge (SOC), and the rated capacity of the lithium battery at the current time are obtained.

The state of charge (SOC) of the battery is the ratio of the remaining capacity of the energy storage device/battery after a period of use or long-term rest to the capacity of its fully charged state.

Battery state of health (SOH) is the ratio of the performance parameter to the nominal parameter of the energy storage device/battery after a period of use.

S232, calculating the residual battery capacity according to the SOH, the SOC and the rated capacity of the lithium battery at the current moment:

remaining battery capacity=rated capacity SOH SOC.

S233, determining the floating value of the residual battery capacity according to the existing power supply record.

In some embodiments, step S233 further comprises:

and S2331, analyzing big data through the power supply record of the power grid, and determining the grade of the quality of the power grid.

The power grid quality is a power supply product quality standard specified in national power grid company power supply service quality standard.

Illustratively, by way of existing historical power supply records over the past year, the grid quality may be rated as four ABCD ratings, with a rating of more than 8 blackouts occurring over the past year; the B grade is that 5-7 times of power failure occur in the same period in the past year; the C level is that 2-4 times of power failure occur in the same period in the past year; the C level is that 0-1 power failure occurs in the same period in the past year. And the cloud performs big data analysis through the data of the contemporaneous historical records of the past year to obtain the grade of the current power grid quality as C.

And S2332, setting a floating value of the residual battery capacity according to the grade of the power grid quality.

Illustratively, the grid quality is set to a float value of class a of 10%, class B of 7%, class C of 3% and class D of 0%.

S2333, determining an upper limit value of the remaining battery capacity from the floating value of the remaining battery capacity:

upper limit value of remaining battery capacity = remaining battery capacity × (100+ float value)%.

For example, if the level of the grid quality is a, the upper limit value of the remaining battery capacity=remaining battery capacity (100+10)%; the grade of the power grid quality is B, the upper limit value of the remaining battery capacity=remaining battery capacity (100+7)%; the grade of the power grid quality is C, the upper limit value of the remaining battery capacity=remaining battery capacity (100+3)%; the grid quality is rated D, the upper limit value of the remaining battery capacity=100% of the remaining battery capacity.

S24, acquiring the standby capacitance of each load according to the standby duration of the M loads.

In some implementations, step S24 is implemented by the following steps S241-S242.

S241, calculating the predicted power value of each load.

In some implementations, the predicted power value for the load for which granularity is set in the standby power duration may be calculated based on existing power consumption data for the load.

Illustratively, the predicted power values of the different branch loads for the next 24 hours can be predicted by using existing load energy consumption related data for at least 8 days.

Illustratively, the startup AI module predicts future 15-minute granularity predicted power values for load 1, load 2, and load 3 from existing historical energy consumption related data for the load.

Fig. 3 is a schematic diagram of predicted load power for the next 24 hours. As shown in fig. 3, the abscissa is a time variable, the ordinate is a power variable, curve 1 predicts the dynamic change of the future 24-hour predicted power value P1 of the load 1, curve 2 predicts the dynamic change of the future 24-hour predicted power value P2 of the load 2, and curve 3 predicts the dynamic change of the future 24-hour predicted power value P3 of the load 3. The time of AC outage was 4:00. After power failure, the standby time length required by the load 1 is 4 hours, the standby time length required by the load 2 is 5 hours, and the standby time length required by the load 3 is 6 hours. The level of priority of load 3 is higher than the level of priority of load 2 and higher than the level of priority of load 1.

And S242, determining the standby capacitance of each load according to the predicted power value and the standby time length of each load.

In some implementations, the standby capacity required by the loads of different branches can be calculated according to the standby duration required by the loads of different branches and the predicted power values of the loads. Comprising the following steps 2421-2424.

S2421, the standby period Tj is divided into L periods T1, T2, … TL according to the existing power consumption data of the load, where L is a positive integer.

Illustratively, the standby power time period of the load is 4 hours and divided into 3 periods according to historical power consumption data: the early peak t1=tj1-tj0=0.5 hours, the intermediate stabilization period t2=tj2-tj1=2.25 hours, and the midday peak period t3=tj3-tj1=1.25 hours. Where Tj0 is the start time and Tj1, tj2, … TjL are the end times of each period.

S2422, a predicted power value for each period is determined.

In some implementations, the predicted power values P1, P2, … PL for the set granularity per period may be determined.

Illustratively, the set granularity may be 15 minutes, and the predicted power value P1 at the early peak period is determined to be 10 kw/15 minutes according to step S24; the predicted power value for the intermediate stable period is 6 kw/15 min; the predicted power value during the peak noon hours is 12 kw/15 minutes.

S2423, the predicted power consumption of the load per period is obtained based on the predicted power value per period.

In some implementations, the predicted power consumption W for each time period may be calculated based on the predicted power values for each time period for which the granularity is set _T0 、W _T1 、…W _TL 。

S2424, the predicted power consumption of the L periods is accumulated and summed to obtain the backup capacity W of the load:

W＝W _T0 +W _T1 +…+W _TL

＝P1*(Tj1-Tj0)+P2*(Tj2-Tj1)+…Pn*(TjL-Tj(L-1)。

and S25, controlling N empty switches in the power distribution equipment according to the residual battery capacity and the standby capacitance of each load, and powering down the load with standby electricity time duration shorter than that of other loads in the M loads.

In some implementations, it may be determined whether the remaining battery capacity of the current site is less than a sum of the backup capacities of the M loads, and when the remaining battery capacity is less than a sum of the backup capacities of one or more of the M loads, one or more of the power distribution devices is controlled to be turned off to power down the low priority load first.

In some implementations that may be implemented, step S25 includes the steps of:

s251, determining priorities according to the standby electricity time lengths of the M loads, and sequencing the M loads according to the order of the priorities from high to low.

In some possible embodiments, the load priority list may be obtained according to the standby power duration or the level of the priority of each load and the standby capacity required by each branch load, as shown in table 1.

TABLE 1

Load(s)	Priority level	Duration (hours) of standby power	Spare capacity (kilowatt-hour)
				Branch 1	1	6	300
Branch 2	2	5	250
				Branch 3	3	4	200
Branch 4	4	3	150

S252, determining 1 or more high-priority loads and loads in a power-down priority list according to the priority levels of the loads. The priority level of the load in the power-down priority list is lower than the level of the load of high priority. The load in the power down priority list may be referred to as a power down priority load.

Illustratively, k has a value of 4, and the priority levels and standby capacities of the 4 branch loads ordered from high to low are shown in Table 2.

TABLE 2

Load(s)	Priority level	Spare capacity (kilowatt-hour)
			Branch 1	1	300
Branch 2	2	250
			Branch 3	3	200
Branch 4	4	150

In some realizable embodiments, the sum of the spare capacities of the first m loads and the sum of the spare capacities of the first m+1 loads can be obtained by calculating according to the order of priority from high to low; wherein M is an integer less than M; and setting the M-M loads as power-down priority loads after the first M loads are set in response to the sum of the standby capacities of the first M loads being smaller than or equal to the residual battery capacity and the sum of the standby capacities of the first m+1 loads being larger than the residual battery capacity.

Taking table 2 as an example, the value of k is 4, and the remaining battery capacity is 1300 kwh, the power-down priority load can be determined by the algorithm of the following steps S2521 to S2525.

S2521, the load with the forefront priority is branch 1, its standby capacity is 300 kwh < 1300 kwh of the remaining battery capacity, the current remaining battery capacity satisfies the standby capacity of load 1, and m=1 is set.

And S2522, calculating the sum of the spare capacities of the previous m+1=2 loads, wherein the previous 2 loads with the priority are branch 1 and branch 2, and calculating the sum of the spare capacities of the branch 11 and the branch 2 to be 300+250=550 kilowatt hours. The sum of the standby capacities of the first 2 loads of priority 550< the remaining battery capacity 1300, m=2 is set.

S2523, the sum of the spare capacities of the first m+1=3 loads is calculated, and the sum of the spare capacities of the first 3 branches 1, 2 and 3 is 550+200=750 kwh. In the case where the sum of the spare capacities of the first 3 loads is 750< the remaining battery capacity 1300, m=3 is set.

S2524, the sum of the spare capacities of the first m+1=4 loads is calculated, and the sum of the spare capacities of load branches 1 and 2 and branch 3 and branch 4 of the first 4 priorities is 750+150=900 kwh. In the case where the sum of the standby capacities of the first 4 loads of priority is < 1300 kwh of the remaining battery capacity, and m=4.

S2525, the remaining battery capacity of the current site meets the sum of the spare capacities of the current 4 branch loads, and it can be determined that the loads of the 4 branches are all high-priority loads, the number of the loads in the power-down priority list is k-m=0, and the power-down priority load is 0.

In some possible embodiments, S26 is performed under the condition that the sum of the backup capacities of the plurality of loads is less than or equal to the remaining battery capacity, which satisfies each of the load backup capacity requirements of the M loads.

And S26, under the condition that the residual battery capacity meets the demand of each load in the M loads for backup capacity, the power distribution equipment controls a plurality of intelligent air switches to power on, and the lithium battery is used for supplying power to each load in the plurality of loads.

Illustratively, the remaining battery capacity 1300 kwh can satisfy the sum of the standby capacities of the loads of the branch 1, the branch 2, the branch 3 and the branch 4 in table 2, and the cloud control iDMU controls the intelligent air-on power-up, and uses the battery to supply power to the loads of the branch 1, the branch 2, the branch 3 and the branch 4.

According to the station standby power method provided by the embodiment of the application, the standby power duration and the energy consumption prediction data of each branch load are monitored in real time, whether the current residual battery capacity can meet the standby power requirement of the load operation is judged according to the continuous change of the load operation sum, and when the residual battery capacity is smaller than the sum of the standby capacities of one or more loads in the M loads, one or more idle switches in the power distribution equipment are controlled to enable the load with low priority to be powered down first. Comprising the following steps S27-S31.

And S27, periodically obtaining the residual battery capacity.

For example, the period may be preset to 5 minutes. And monitoring the standby power duration and the energy consumption prediction data of each branch load in real time, and calculating and updating the value of the residual battery capacity every 5 minutes.

In some possible embodiments, the SOC value and SOH value of the lithium battery at the current time may be periodically obtained, the remaining battery capacity at the current time Ti is calculated, and the value of the remaining battery capacity is updated.

In some implementations that may be implemented, the upper limit value of the remaining battery capacity may be determined periodically from the grid quality and the floating value of the remaining battery capacity:

And S28, periodically obtaining the residual standby electricity duration and the standby capacitance of each load.

In some possible embodiments, the product of the predicted power value of each load in the remaining standby power period and the remaining standby power period may be periodically calculated to obtain the standby capacitance of each load currently; the remaining standby time length is the standby time length and the time difference value of the standby power is removed.

For example, after 1 hour interval, the product of the predicted power value P of each branch and the remaining standby time length is calculated to obtain the standby capacity of each load currently, and the remaining standby time length of each branch is 6 hours of the standby time length and the time difference of 1 hour is 5 hours.

In some possible embodiments, the product of the predicted power value of the granularity set by each load in the remaining standby power duration and the remaining standby power duration can be periodically calculated to obtain the standby capacitance of each load currently; comprising the following steps:

S281, calculating the standby capacity W required by the load of each priority of the current time Ti according to the predicted power value of the set granularity _Ti ：

W _Ti ＝Pi*(Tji-Tj(i-1))+…PL*(TjL-Tj(L-1)

Where PL is the predicted power value of the L-th period, tjL is the end time of the L-th period predicted power, and Tj (L-1) is the start time of the L-th period predicted power.

Taking table 2 as an example, the remaining battery capacity was 400 after 1 hour, and the backup capacities of the respective branch loads are shown in table 3.

S29, judging whether the current residual battery capacity can meet the spare capacity requirements of the current multiple load operation; under the condition that the sum of the spare capacities of the plurality of loads is larger than the remaining battery capacity, the remaining battery capacity does not satisfy the spare capacity requirements of the plurality of loads, and S30-S31 are performed. S26 is performed on the condition that the sum of the backup capacities of the plurality of loads is less than or equal to the remaining battery capacity.

And S30, periodically obtaining the power-down priority load.

In some implementations, 1 or more high priority loads and power down priority loads may be periodically redetermined. Reference may be made to the embodiment of step S252.

In some implementations, the power down priority list is not empty and the high priority load backup capacity is less than the remaining battery capacity (1 + percentage of grid mass).

Taking table 3 as an example, the value of N is 4, and the remaining battery capacity is 400 kwh, the power-down priority load can be determined by the algorithm of the following steps S301 to S305.

TABLE 3 Table 3

Load(s)	Priority level	Spare capacity (kilowatt-hour)
			Branch 1	1	295
Branch 2	2	245
			Branch 3	3	195
Branch 4	4	145

S301, the load with the forefront priority is the branch 1, the standby capacity of the load is 295 kw/hr < 400 kw/hr, the current remaining battery capacity satisfies the standby capacity of the load 1, and m=1 is set.

S302, the sum of the spare capacities of the previous m+1=2 loads is calculated, the previous 2 loads with priority are branch 1 and branch 2, and the sum of the spare capacities of branch 11 and branch 2 is calculated to be 295+245=540 kwh. The sum of the spare capacities 540 of the first 2 loads of priority > the remaining battery capacity 400.

S303, when the standby capacity 295 kW of the branch 1 is smaller than the remaining battery capacity 400 kW, and the sum 540 kW of the standby capacities of the loads of the branch 1 and the branch 2 is larger than the remaining battery capacity 400 kW, the front branch 1 is a high-priority load, and the branches 2, 3 and 4 are the power-down priority loads in the power-down priority list.

And S31, controlling one or more air switches in the power distribution equipment to enable one or more low-priority loads in the power-down priority loads to be powered down, and keeping power supply to the high-priority loads.

In some implementations, after the spare capacity requirement of the load with high priority is met according to the remaining battery capacity, the load with the highest priority in the power-down priority list can be powered until the remaining battery capacity is used up.

Illustratively, according to the remaining battery capacity 400 remaining 400-295=105 kwh after maintaining the spare capacity of 295 kwh required by the branch 1, it may be determined that the low priority branches 3 and 4 in the power-down priority list are powered down, and the branch 2 is not powered down until the spare capacity of 105 kwh is used up or the remaining battery capacity reaches the set threshold.

In some embodiments that may be implemented, the same priority has multiple branch loads, and if the remaining battery capacity meets the demand of the sum of the backup capacities of the multiple branch loads, none of the multiple branch loads is powered down.

In some embodiments, the load of the plurality of branches is in the same priority, if the remaining battery capacity meets the standby capacity requirement of the load of a part of the plurality of branches, and under the condition that the remaining battery capacity reaches the set first threshold, the load of the part of branches uses electricity until the remaining battery capacity reaches the set second threshold.

In some implementations, the same priority has loads of multiple branches, and if the load of each of the loads of the multiple branches exceeds the remaining battery capacity, the loads of all the branches are powered down until the remaining battery capacity reaches a set threshold.

In some implementations, when the power distribution device determines that the utility power is restored, there is no ac outage alarm, and the cloud may initiate a power-on operation for the air-on.

Example 2

The embodiment 2 of the present application provides a station power backup method, where a station management system is in communication connection with an IoT gateway, the IoT gateway is in parallel connection with a lithium battery and an iDMU, and the iDMU is in parallel connection with a plurality of loads, including a load 1, a load 2, a load 3, and the like.

The station power backup method provided in embodiment 2 of the present application includes the following steps.

S41, predicting load power data of load 1, load 2 and load 3 for 24 hours in the future through cloud big data analysis.

S42, determining a priority load 3> a load 2> a load 1 according to the power standby time periods of the load 1, the load 2 and the load 3 being respectively 4, 5 and 6 hours; the standby electricity amounts of the load 1, the load 2 and the load 3 are respectively 15Ah, 18Ah and 25Ah.

As shown in fig. 4, the total power required by the predicted load 1, the predicted load 2 and the predicted load 3 is 58Ah, which is smaller than the current remaining battery capacity 80Ah, and the cloud terminal starts the power-on operation for the intelligent air-conditioner, and the battery supplies power to the load 1, the load 2 and the load 3.

S43, as shown in FIG. 5, after 5 minutes, the current residual battery capacity is 40Ah, the predicted standby power amounts of the load 1, the load 2 and the load 3 are respectively 10Ah, 12Ah and 21Ah, the total required power amount is 43Ah, the current residual battery capacity is insufficient, the load 1 with low priority is required to be powered down, and after the power amount on the load 1 reaches 7Ah, the load 1 is powered down.

And S44, as shown in FIG. 6, after the power-on is continued for 5 minutes, the current residual battery capacity is 15Ah, the predicted standby power amounts of the load 2 and the load 3 are 6Ah and 13Ah respectively, the total required power amount is 19Ah, the current residual battery capacity is insufficient, the load 2 with low priority is required to be powered down, and after the power amount on the load 2 reaches 2Ah, the load 3 is powered down. Eventually the highest priority load 3 operates normally.

In some implementations, the IoT gateway informs the power distribution device to resume its differentiated standby power when the IoT gateway is decoupled from the cloud. And after the heavy chain, the cloud transmits the refined preparation electricity powering-on and powering-off strategy again.

Fig. 7 is a schematic diagram of a power distribution device for site backup according to an embodiment of the present application. The station standby power distribution device 70 provided in the embodiment of the present application includes N idle switches 72 and a controller 71, where the controller 71 is configured to provide differential standby power for M loads by controlling the N idle switches 72, and the controller 71 is further configured to: obtaining the standby electricity duration of each load; obtaining the residual battery capacity of the energy storage device; obtaining the standby capacitance of each load according to the standby time of each load; and enabling the standby electricity duration of the plurality of loads to be shorter than the standby electricity duration of the loads of other loads according to the residual battery capacity and the standby electricity capacity of each load.

Fig. 8 is a schematic diagram of a site management system according to an embodiment of the present application. As shown in fig. 8, the site management system includes an energy storage device 81, a site backup power distribution apparatus 70, and a plurality of loads. Wherein the power distribution device 70 for station backup is configured to determine a backup time period for each of the plurality of loads; determining a remaining battery capacity of the energy storage device; determining the standby capacitance of each load according to the standby electricity duration of each load; and enabling the standby time length of the plurality of loads to be shorter than the standby time length of the loads of other loads according to the residual battery capacity and the standby capacity of each load.

The station backup power distribution apparatus 70 may be implemented by software or may be implemented by hardware. Illustratively, the implementation of the station powered distribution device 70 is described next.

Modules as an example of a software functional unit, the site power distribution device 70 may include code that runs on a computing instance. Wherein the computing instance may be at least one of a physical host (computing device), a virtual machine, a container, etc. computing device. Further, the computing device may be one or more. For example, the site standby power distribution device 70 may include code that runs on multiple hosts/virtual machines/containers. It should be noted that, multiple hosts/virtual machines/containers for running the application may be distributed in the same region, or may be distributed in different regions. Multiple hosts/virtual machines/containers for running the code may be distributed among the same AZ or among different AZs, each AZ including one data center or multiple geographically close data centers. Wherein typically a region may comprise a plurality of AZs.

Also, multiple hosts/virtual machines/containers for running the code may be distributed in the same VPC, or may be distributed among multiple VPCs. Where typically one VPC is placed within one region. The inter-region communication between two VPCs in the same region and between VPCs in different regions needs to set a communication gateway in each VPC, and the interconnection between the VPCs is realized through the communication gateway.

Modules as an example of a hardware functional unit, the site power distribution apparatus 70 may include at least one computing device, such as a server or the like. Alternatively, the power distribution device 70 for site backup may be a device implemented by ASIC, PLD, or the like. Wherein, the PLD can be CPLD, FPGA, GAL or any combination thereof.

The site power distribution apparatus 70 may include multiple computing devices distributed in the same region or in different regions. The site-ready power distribution apparatus 70 may include multiple computing devices distributed among the same AZ or among different AZ. Likewise, the site power distribution apparatus 70 may include multiple computing devices distributed in the same VPC or may be distributed in multiple VPCs. Wherein the plurality of computing devices may be any combination of computing devices such as servers, ASIC, PLD, CPLD, FPGA, and GAL.

The present application also provides a computing device 100. As shown in fig. 9, the computing device 100 includes: bus 102, processor 104, memory 106, and communication interface 108. Communication between the processor 104, the memory 106, and the communication interface 108 is via the bus 102. Computing device 100 may be a server or a terminal device. It should be understood that the present application is not limited to the number of processors, memories in computing device 100.

Bus 102 may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, only one line is shown in fig. 8, but not only one bus or one type of bus. Bus 102 may include a path to transfer information between various components of computing device 100 (e.g., memory 106, processor 104, communication interface 108).

The processor 104 may include any one or more of a central processing unit (central processing unit, CPU), a graphics processor (graphics processing unit, GPU), a Microprocessor (MP), or a digital signal processor (digital signal processor, DSP).

The memory 106 may include volatile memory (RAM), such as random access memory (random access memory). The memory 106 may also include a non-volatile memory (ROM), such as a read-only memory (ROM), a flash memory, a mechanical hard disk (HDD), or a solid state disk (solid state drive, SSD).

The memory 106 stores executable program codes that the processor 104 executes to implement the functions of the aforementioned duration determination module 71, the remaining capacity determination module 72, the energy consumption prediction module 73, and the power-down module 74, respectively, to implement the station power-up method. That is, the memory 106 has instructions stored thereon for performing the site power backup method.

Alternatively, the memory 106 may store executable code that is executed by the processor 104 to implement the functions of the power distribution apparatus 70 for site power backup, respectively, as described above, thereby implementing the site power backup method. That is, the memory 106 has instructions stored thereon for performing the site power backup method.

Communication interface 108 enables communication between computing device 100 and other devices or communication networks using a transceiver module such as, but not limited to, a network interface card, transceiver, or the like.

The embodiment of the application also provides a computing device cluster. The cluster of computing devices includes at least one computing device. The computing device may be a server, such as a central server, an edge server, or a local server in a local data center. In some embodiments, the computing device may also be a terminal device such as a desktop, notebook, or smart phone.

As shown in fig. 10, a cluster of computing devices includes at least one computing device 100. The same instructions for performing the site power backup method may be stored in memory 106 in one or more computing devices 100 in the computing device cluster.

In some possible implementations, portions of instructions for performing the site power backup method may also be stored separately in the memory 106 of one or more computing devices 100 in the computing device cluster. In other words, a combination of one or more computing devices 100 may collectively execute instructions for performing a site power backup method.

It should be noted that, the memories 106 in different computing devices 100 in the computing device cluster may store different instructions for performing part of the functions of the standby power device. That is, the instructions stored by the memory 106 in the different computing devices 100 may implement the functionality of one or more of the duration determination module 71, the remaining capacity determination module 72, the energy consumption prediction module 73, and the power down module 74.

In some possible implementations, one or more computing devices in a cluster of computing devices may be connected through a network. Wherein the network may be a wide area network or a local area network, etc.

Fig. 11 shows one possible implementation. As shown in fig. 11, two computing devices 100A and 100B are connected by a network. Specifically, the connection to the network is made through a communication interface in each computing device. In this type of possible implementation, instructions for the functions of the execution duration determination module 71, the remaining capacity determination module 72, are stored in the memory 106 in the computing device 100A. Meanwhile, instructions for performing the functions of the site power backup method are stored in the memory 106 in the computing device 100B.

The connection between the clusters of computing devices shown in fig. 11 may be implemented by computing device 100B in consideration of the large amount of stored data and computation required by the power-on-site method provided in the present application, and thus, the functions implemented by power consumption prediction module 73 and power-off module 74.

It should be appreciated that the functionality of computing device 100A shown in fig. 11 may also be performed by multiple computing devices 100. Likewise, the functionality of computing device 100B may also be performed by multiple computing devices 100.

The embodiment of the application also provides another computing device cluster. The connection relationship between the computing devices in the computing device cluster may be similar with reference to the connection manner of the computing device cluster in fig. 10 and 11. In contrast, the same instructions for performing the site power backup method may be stored in memory 106 in one or more computing devices 100 in the computing device cluster.

It should be noted that the memory 106 in different computing devices 100 in the computing device cluster may store different instructions for performing part of the functions of the standby power system. That is, the instructions stored by the memory 106 in the different computing devices 100 may implement the functionality of one or more of the site-powered electrical distribution apparatus 70.

Embodiments of the present application also provide a computer program product comprising instructions. The computer program product may be a software or program product containing instructions capable of running on a computing device or stored in any useful medium. The computer program product, when run on at least one computing device, causes the at least one computing device to perform a site power backup method.

Embodiments of the present application also provide a computer-readable storage medium. Computer readable storage media can be any available media that can be stored by a computing device or data storage device such as a data center containing one or more available media. Usable media may be magnetic media (e.g., floppy disks, hard disks, magnetic tape), optical media (e.g., DVD), or semiconductor media (e.g., solid state disk), among others. The computer-readable storage medium includes instructions that instruct a computing device to perform a site power backup method.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the embodiments of the present application.

Furthermore, various aspects or features of embodiments of the present application may be implemented as a method, apparatus, or article of manufacture using standard programming and/or engineering techniques. The term "article of manufacture" as used herein encompasses a computer program accessible from any computer-readable device, carrier, or media. For example, computer-readable media can include, but are not limited to, magnetic storage devices (e.g., hard disk, floppy disk, magnetic strips, etc.), optical disks (e.g., compact disk, CD), digital versatile disk, etc.), smart cards, and flash memory devices (e.g., erasable programmable read-only memory, EPROM), cards, sticks, or key drives, etc. Additionally, various storage media described herein can represent one or more devices and/or other machine-readable media for storing information. The term "machine-readable medium" can include, without being limited to, wireless channels and various other media capable of storing, containing, and/or carrying instruction(s) and/or data.

It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic of the processes, and should not constitute any limitation on the implementation process of the embodiments of the present application.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.

In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the embodiments of the present application may be essentially or, what contributes to the prior art, or part of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, or an access network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-only memory (ROM), a random access memory (RAM, randomAccessMemory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

The foregoing is merely a specific implementation of the embodiments of the present application, but the protection scope of the embodiments of the present application is not limited thereto, and any person skilled in the art may easily think about changes or substitutions within the technical scope of the embodiments of the present application, and all changes and substitutions are included in the protection scope of the embodiments of the present application.

Claims

1. The station power backup method is applied to a station management system and is characterized in that the station management system comprises energy storage equipment and power distribution equipment, wherein the power distribution equipment comprises N open switches, and the N open switches are used for connecting M loads; n, M is a positive integer; the method comprises the following steps:

acquiring standby electricity time lengths of the M loads;

acquiring the residual battery capacity of the energy storage device;

acquiring the standby capacitance of each load according to the standby electricity duration of the M loads;

and controlling N empty switches in the power distribution equipment according to the residual battery capacity and the standby capacity of each load, and powering down the load with the standby time length shorter than that of other loads in the M loads.

2. The station power backup method of claim 1, further comprising:

setting priority according to the standby time length of the M loads; and the priority of the load with long standby power in the M loads is higher than that of the load with long standby power.

3. The station power backup method according to claim 2, wherein the setting of the priority according to the power backup time periods of the M loads further comprises:

sequencing the M loads according to the order of priority from top to bottom;

obtaining the sum of the spare capacity of the first m loads and the sum of the spare capacity of the first m+1 loads; m is an integer less than M;

and setting the rear M-M loads as the power-down priority loads in response to the sum of the standby capacities of the first M loads being smaller than or equal to the residual battery capacity and the sum of the standby capacities of the first m+1 loads being larger than the residual battery capacity.

4. A station power backup method according to any of claims 1-3, wherein said determining the remaining battery capacity of the energy storage device comprises:

acquiring an SOH value, an SOC value and rated capacity of the energy storage equipment;

calculating the remaining battery capacity:

remaining battery capacity=rated capacity SOH SOC.

5. The station power backup method of any of claims 1-4, wherein the determining the remaining battery capacity of the battery further comprises:

acquiring an upper limit value of the residual battery capacity according to the residual battery capacity;

The upper limit value of the remaining battery capacity is: residual battery capacity × (100+ float value)%;

the float value is obtained from a grid quality level determined from a grid power record.

6. The station backup power method according to any one of claims 1-5, wherein the obtaining the backup power capacity of each load according to the backup power time lengths of the M loads includes:

and calculating and determining the standby capacitance of each load according to the predicted power value and the standby time length of each load.

7. The station backup power method according to claim 6, wherein determining the backup power capacity of each load according to the predicted power value and the backup power duration calculation of each load comprises:

dividing the standby time length into L time periods according to the existing electric energy consumption data of the load, wherein L is a positive integer;

determining a predicted power value for each period;

obtaining the predicted power consumption of the load in each period according to the predicted power value in each period;

and accumulating and summing the predicted power consumption of the L time periods to obtain the standby capacity of the load.

8. The station power backup method according to any one of claims 1 to 7, further comprising:

And periodically obtaining the residual battery capacity of the energy storage device, the standby electricity duration and standby capacitance of each load and the power-down priority load.

9. The station backup method according to any one of claims 1 to 8, wherein controlling N idle switches in the power distribution device according to a remaining battery capacity and a backup capacity of each load, and powering down a load having a backup duration shorter than that of other loads in the M loads includes:

and when the residual battery capacity is smaller than the sum of the standby capacities of one or more loads in the M loads, controlling one or more idle switches in the power distribution equipment to enable the load with low priority to be powered down first.

10. The station power backup method of claim 9, wherein controlling one or more of the power distribution devices to free up low priority loads to power down first comprises:

controlling one or more air switches in the power distribution device to power down one or more low priority loads in a power down priority load.

11. The station power backup method of any of claims 1-10, wherein the energy storage device comprises a lithium battery, and wherein the lithium battery discharges to provide differential backup for the plurality of loads after a mains power outage.

12. The station power backup method according to any one of claims 1 to 11, wherein the power distribution equipment further comprises an iDMU and/or a direct current power distribution unit, the iDMU and/or the direct current power distribution unit respectively control the N idle switches, and the M loads are powered down after the mains power fails, wherein the standby time is shorter than that of the loads of other loads.

13. A power distribution device for site backup, the power distribution device comprising N space switches and a controller, the controller providing differential backup for M loads by controlling the N space switches, the controller further configured to:

obtaining the standby electricity duration of each load;

obtaining the residual battery capacity of the energy storage device;

obtaining the standby capacitance of each load according to the standby time of each load;

and enabling the standby electricity duration of the plurality of loads to be shorter than the standby electricity duration of the loads of other loads according to the residual battery capacity and the standby electricity capacity of each load.

14. A site management system, characterized in that the site management system comprises an energy storage device and a site standby power distribution device according to claim 13, wherein the site standby power distribution device is used for executing the method according to any one of claims 1-12, and after the mains supply fails, the N idle powers are respectively controlled to be powered on, and the energy storage device discharges to provide differential standby power for M loads.