CN115000992B - Green standby power supply regulation and control system for data center - Google Patents
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/30—Arrangements for balancing of the load in a network by storage of energy using dynamo-electric machines coupled to flywheels
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J15/00—Systems for storing electric energy
- H02J15/007—Systems for storing electric energy involving storage in the form of mechanical energy, e.g. fly-wheels
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J9/00—Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting
- H02J9/04—Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source
- H02J9/06—Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source with automatic change-over, e.g. UPS systems
- H02J9/062—Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source with automatic change-over, e.g. UPS systems for AC powered loads
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Abstract
The invention provides a regulation and control system of a green standby power supply for a data center, which comprises: the information acquisition module generates an energy storage safety level and a discharge support level in real time according to the data center information; the power storage management module outputs a corresponding power storage strategy according to the energy storage safety level; the discharge management module is configured with a discharge strategy; the discharge management module outputs a discharge strategy according to the discharge support grade; the server energy storage power supplies and the heat dissipation energy storage power supplies are arranged; the power storage strategy generates a priority power storage command or a peak-shifting power storage command through a power storage threshold algorithm and outputs the priority power storage command or the peak-shifting power storage command to a power storage power supply; the discharging strategy determines to connect the energy storage power supply to the power supply main loop and the corresponding power supply branch or the shielding power supply main loop through a discharging threshold algorithm, and also generates a plurality of scheduling tasks. The predicted value determined by the discharge threshold algorithm and the energy storage grade algorithm prevents the electric energy of the storage battery from being configured too much, ensures the charging current to be healthy, and each power supply system can be independently scheduled, so that the electric energy loss generated by scheduling is minimum.
Description
Technical Field
The invention relates to the field of data center power supply regulation and control, in particular to a regulation and control system of a green standby power supply for a data center.
Background
At present, with the rapid development of information technology, higher requirements are put forward on power supply of a data center. In the past decade, the whole electricity consumption of the data center in China is increased at a speed of more than 10% every year, the electricity consumption of the data center in China breaks through 2000 hundred million kilowatts in 2020 and accounts for about 2.71% of the electricity consumption of the whole society, correspondingly, the data center needs to be increasingly perfect due to the requirement of data reliability, and the normal work of the data center needs to be ensured during the switching of standby electricity.
The prior art discloses a data center power supply system with application number CN201911055702.9 and a control method thereof, in order to solve the problem that switching between power supplies in a standby power system ensures normal and stable operation of a data center, multiple groups of standby power supplies and control strategies are arranged to ensure safe operation of the power supplies, the more standby power supplies are, the higher energy storage cost is, the energy storage cost in the place is not only energy, but also maintenance and service life factors influence the problem, and more importantly, pollution caused by chemical batteries is also a non-negligible problem. In order to solve the above problems, the prior art discloses a green standby power supply system and a method for a data center of application No. CN202010837910.0, which includes an electrolytic cell unit, a fuel cell unit, and a lithium cell unit, and is used in order to make the use of a data center battery more environmentally friendly and reliable, and also discloses a standby power supply system for data center energy storage type hydrogen energy generation of application No. CN201721596756.2, and reduces the energy consumption of the standby power supply system through a hydrogen storage hydrogen production system, a hydrogen fuel cell system, and a storage battery.
Disclosure of Invention
The invention aims to overcome at least one defect of the prior art, and provides a regulation and control system of a green standby power supply for a data center, which is used for solving the problems that the standby power system of the data center in the prior art is polluted by environment due to the adoption of a novel battery, and the replacement cost are higher.
The technical scheme adopted by the invention comprises the following steps:
the invention provides a regulation and control system of a green standby power supply for a data center, which comprises: the information acquisition module is used for acquiring data center information and generating an energy storage safety level and a discharge support level in real time according to the data center information; the data center information comprises environmental data, server load data and heat dissipation load data; the power storage management module is configured with a power storage response database, and the power storage response database is configured with a power storage strategy; the electric power storage management module is used for outputting a corresponding electric power storage strategy in real time according to the energy storage safety level; the discharge management module is configured with a discharge response database, and the discharge response database is configured with a discharge strategy; the discharge management module is used for outputting a discharge strategy in real time according to the discharge support level; the energy storage group comprises a plurality of server energy storage power supplies and a plurality of heat dissipation energy storage power supplies; each server energy storage power supply is arranged corresponding to at least one server in one data center, and each heat dissipation energy storage power supply is arranged corresponding to at least one heat dissipation device in the data center; the electric power storage strategy is used for determining the energy storage requirement value of each energy storage power supply through an electric power storage threshold algorithm, and if the energy storage requirement value is within a preset first energy storage threshold range, a priority electric power storage instruction is generated and output to the energy storage power supply, so that the energy storage power supply is connected to a charging loop when receiving the priority electric power storage instruction; if the energy storage demand value is within the preset second energy storage threshold value range, generating a peak staggering energy storage command and outputting the peak staggering energy storage command to an energy storage power supply; the peak shifting power storage instruction comprises a peak shifting power storage condition, and when the energy storage power supply receives the peak shifting power storage instruction and meets the peak shifting power storage condition, a charging loop is connected; the discharging strategy is used for calculating the discharging support allowance of each energy storage power supply through a discharging threshold algorithm; if the discharging support allowance is larger than a preset first support threshold, the energy storage power supply is connected to the power supply main loop and the corresponding power supply branch circuit at the same time; if the discharging support allowance is smaller than the first support threshold and larger than the second support threshold, the energy storage power supply is connected to the corresponding power supply branch and a power supply main loop is shielded; if the discharging support allowance is smaller than a second support threshold, the energy storage power supply is connected to the corresponding power supply branch; the discharging strategy is also provided with a scheduling condition, when the scheduling condition is met, a preset scheduling sub-strategy is executed, the scheduling sub-strategy is used for generating a plurality of scheduling tasks and outputting the scheduling tasks to a server so as to receive and execute the scheduling tasks.
The method comprises the steps that an information acquisition module generates two parameters serving as indexes, namely an energy storage safety level and a discharge support level, based on data center information, an energy storage strategy in an energy storage management module takes the energy storage safety level as the index, an energy storage required value of each energy storage power supply is obtained based on an energy storage threshold algorithm, whether an energy storage instruction or a peak-shifting energy storage instruction is generated or not is judged by comparing the numerical value of the energy storage required value, and the energy storage instruction or the peak-shifting energy storage instruction is transmitted to the energy storage power supply so that the energy storage power supply can be connected to a charging circuit in real time or the charging circuit is connected when the peak-shifting energy storage condition is met. The discharging strategy in the discharging management module takes the discharging support grade as an index, the discharging support allowance of each energy storage power supply is obtained based on a discharging threshold algorithm, and whether a power supply main loop of the energy storage power supply is directly shielded or not is judged by comparing the numerical value of the discharging support allowance, namely the energy storage power supply is not used for supplying power to other equipment, or the energy storage battery is directly connected to other power supply branches to be used as the power supply for supplying power to other equipment. And finally, the discharging strategy is also provided with a scheduling condition, the data of the server corresponding to the scheduling condition is scheduled to the server with higher heat dissipation efficiency by triggering of the scheduling condition, namely, a corresponding scheduling task is generated, the scheduling task also comprises scheduling execution, delayed execution and refusal execution, different execution contents are output according to different results, the power supply abnormality of the data center is ensured, the energy consumption is saved to the maximum extent, and the basic function of the data center is ensured not to be influenced. Therefore, the system disclosed by the invention can prevent the electric energy of the energy storage power supply from being excessively configured by the accurate predicted value obtained by two algorithms and two data index calculations, can simultaneously distribute independent configuration of charging time according to different conditions, ensures the health of charging current, has the minimum influence on the service life of the power supply, and simultaneously can independently schedule each power supply system to minimize the loss of the electric energy generated by scheduling.
Further, the heat dissipation energy storage power supply is arranged as a flywheel power storage unit; the flywheel power storage unit comprises a flywheel power storage unit, a variable-frequency charging circuit, a variable-frequency discharging circuit and a variable-frequency speed reducing circuit; the flywheel power storage unit and a corresponding heat dissipation fan of the heat dissipation equipment are positioned in the same shell and are coaxially arranged; the coil of the flywheel electric power storage unit is coupled to the charging loop through a variable frequency charging circuit, is coupled to the power supply branch circuit and the power supply main loop through a variable frequency discharging circuit, and is coupled to the corresponding coil of the heat dissipation fan through a variable frequency speed reduction circuit; the power supply branch is coupled to a refrigeration unit of the heat dissipation device and provides refrigeration capacity for the refrigeration unit.
Most of energy consumption in the data center is generated based on heat dissipation equipment, and most of the existing data centers are cooled by air, so that the reduction of the proportion of the heat dissipation energy consumption of the data center to the total energy consumption is the most important factor in the design of green data centers. The other core reason is that the chemical power supply has the problems of pollution, high maintenance cost, short service life and large volume, and based on the principle, the flywheel power storage unit is adopted as a heat dissipation energy storage power supply. The flywheel rotates continuously under the inertia system, during discharging, a flywheel generating coil can generate alternating current through inversion and boosting, mechanical energy is converted into electric energy, and a frequency converter is needed to control a corresponding switching power supply to generate loop current in real time according to the rotating speed of the flywheel in both charging and discharging. The flywheel electric storage unit is not only a low energy consumption energy source, but also has no problems of pollution and the like.
Further, the variable frequency speed reducing circuit is coupled to the variable frequency charging circuit; when the variable-frequency charging circuit works, the variable-frequency speed reducing circuit works in a charging state; and the frequency conversion speed reduction circuit obtains the working frequency of the frequency conversion speed reduction circuit according to the working frequency of the frequency conversion charging circuit and the target working frequency of the heat dissipation fan.
If need charge alone and when discharging, directly through the charging circuit, the frequency conversion charging circuit charges for flywheel electric storage unit, if need discharge alone, can give power supply branch road or power supply major loop release electric energy through discharging circuit and frequency conversion discharging circuit, and if need guarantee radiator fan's work when charging, then only need open frequency conversion reduction circuit simultaneously and just can accomplish the scattered hot-blast when charging, because the coil winding is the one-to-one, so only need just can adjust the rotational speed of the rotating magnetic field of flywheel motor and the rotational speed ratio of radiator fan rotating magnetic field when charging through adjusting the frequency ratio, thereby adjust radiator fan's rotational speed, need not to carry out powerful rectification and step-down to two rectifier circuits, step-down circuit. Similarly, if the work of the cooling fan needs to be controlled while discharging, the flywheel outputs current in a loop where the coil is located under the impedance of the excitation coil, and the current directly enters the cooling fan coil to excite the cooling fan to rotate, so that an inverter circuit and a booster circuit are not needed, and then energy conversion is completed through rectification, voltage reduction and frequency conversion of the cooling fan. Therefore, circuit transduction is saved, energy consumption is reduced, meanwhile, on the basis, a refrigeration module in the refrigeration equipment is driven to refrigerate through direct current high voltage, power supply of a power supply branch can be completed only by arranging a rectification circuit on the power supply branch, and energy consumption is further reduced.
Further, the information acquisition module is used for generating an energy storage safety level and a discharge support level in real time according to the data center information, and specifically comprises: the information acquisition module is configured with an energy storage grade calculation algorithm and a discharge support calculation algorithm, an energy storage safety grade is generated in real time according to data center information through the energy storage grade calculation algorithm, and a discharge support grade is generated in real time according to the data center information through the discharge support calculation algorithm; the energy storage grade calculation algorithm is used for calculating an energy storage expected difference value and determining an energy storage safety grade according to the energy storage expected difference value; the energy storage grade calculation algorithm comprises the following steps:
wherein, the first and the second end of the pipe are connected with each other,
b is a preset environmental reference parameter,
is the average historical temperature value in the environmental data,
a is a preset exchangeable parameter with a value range of 1.2-1.7, n is the number of servers, m is the number of heat dissipation devices,
as a weight parameter for the nth server, there are
，
For the nth server historical average load power,
as the weight parameter of the mth heat sink device, there are
The energy storage grade calculation algorithm updates and calculates at intervals to obtain corresponding energy storage expected difference values, the energy storage expected difference values reflect that the sum of the electric quantity of all power supplies of the standby power system is subtracted from the required energy storage under the premise of predicting the power consumption of the server and the consumption of the heat dissipation equipment, and the electric quantity of the standby power system can easily obtain the electric quantity condition of the standby power system which can be actually detected through the electric quantity acquisition circuit, namely the electric quantity condition of the standby power system is detected through the electric quantity acquisition circuit
The predicted total power needs to consider the following factors, namely the influence of environmental factors and environmental variation, the average load power of each server on the day and the average load power of each heat dissipation device on the day, and the reliable support time of the standby power supply of the data system
That is to say, the system ensures that the server can ensure a certain power backup working time under the power to provide power supply return, the preset reference environmental parameter is updated in real time according to historical data and is related to the climate of the date, if the environmental temperature is higher, the climate is drier, even if the temporarily detected temperature is lower, a larger margin needs to be provided, the same parameter can be changed, namely, a basic guarantee of power supply stability is provided, and the higher the system reliability is, the higher the residual electric quantity under actual energy consumption is, the smaller the value can be, and the more the energy consumption is saved. The weight of the heat dissipation device depends on the following factors, the higher the cooling efficiency of the heat dissipation device and the frequency of use of the heat dissipation device, the higher the weight corresponding to the heat dissipation device, and the weight of the server can be according to the predicted load of the serverAnd the reliability of the server itself, that is, the higher the reliability, the higher the weight of the server with the larger load in the period. The corresponding energy storage safety level can be dynamically generated in real time through the formula, so that the energy storage strategy can be adjusted. And the corresponding energy storage safety level can be obtained by looking up a table according to the calculation result of the actual energy storage expected difference, and the energy storage safety level table is configured in advance according to the scale of the data center and is provided with different strategies under different energy storage safety levels.
Further, the discharge support calculation algorithm is used for executing a discharge strategy and obtaining a simulation result when the energy storage safety level is greater than a preset simulation safety level, calculating the discharge support value according to the simulation result, and calculating the safety level according to the discharge support value. The discharge support calculation algorithm is as follows:
wherein the content of the first and second substances,
is the discharge support value, wherein c is a preset stable transition parameter, d is a preset current margin parameter, e is a preset scheduling margin parameter,
for the number of successful discharge strategy executions,
is the total standard electricity-using quantity,
for the number of executions of the discharge strategy,
as a weight parameter of the x-th discharge strategy, there are
And is
，
Is the actual power usage of the xth discharge strategy.
The discharge support algorithm can also update the discharge support value in real time except that the initial level is established in advance according to the test condition during building, power supply parameters, server parameters and the like. The discharge support value reflects the reliability of the system during power failure, the algorithm introduces a simulation result, the simulation discharge is performed when the safety level of the energy storage is higher, the power supply is performed through the energy storage power supply, firstly, whether the power supply of the standby power system is abnormal or not and whether a circuit is abnormal or not can be checked in time, secondly, the reliability under the standby power can be obtained in real time, the reliability of the system can be judged through the detection result, the following data need to be considered, 1, the success times of normal test of the system are considered, and the more the success times are, the higher the reliability of the system is. 2. And the electric quantity margin of the system is larger, and the system has enough electric energy to load the operation of the data center. 3. The system actually has the remaining electric quantity when executing the discharging strategy, and the more the system actually has the remaining electric quantity, the higher the system reliability is. If the whole system is subjected to one-time execution abnormity, the system needs to be maintained, all data do not need to be repeatedly calculated after maintenance, namely, as long as one-time abnormity occurs in simulation or actual operation, the corresponding discharging support grade needs to be reconfigured, and in this way, the discharging support grade can be dynamically generated, so that each energy storage group executes different discharging strategies, and the calculation efficiency is improved.
Further, the discharging strategy is also used for marking the heat dissipation grade of each server according to a preset heat dissipation path, calculating the expected load of the server with the heat dissipation grade higher than the preset expected grade, and when the expected load is larger than the preset server reference load, determining that the scheduling condition is met.
Further, the scheduling sub-policy is used to generate a plurality of scheduling tasks, and specifically includes: the scheduling sub-strategy is used for calculating a scheduling consumption value between any servers according to the difference value of the heat dissipation levels and generating a plurality of corresponding scheduling tasks according to the scheduling consumption value.
Further, the scheduling task is used for acquiring priority value information marked in the data task, and when the priority value information is a first result, the data task is sent to a server corresponding to the scheduling task so as to be executed; when the priority value information is a second result, the data task is executed again in the server after the preset interval time; and when the priority value information is a third result, sending the data task back to the request end and stopping execution.
Further, the off-peak power storage condition comprises a load sub-condition and a time sub-condition, the load sub-condition is considered to be met when the equipment load corresponding to the energy storage power supply is smaller than a preset load threshold, the time sub-condition is configured with a plurality of idle time periods according to the historical load data of the equipment, and the time sub-condition is considered to be met when the time reaches the idle time periods.
Further, the power storage threshold algorithm is used for determining the energy storage requirement value by determining a heat dissipation path fitting requirement value, a heat dissipation path history fitting requirement value, a weighted heat dissipation path fitting requirement value and a weighted heat dissipation path history fitting requirement value corresponding to the energy storage power supply.
Further, the discharging threshold algorithm is used for obtaining the discharging support margin by determining the difference between the electric quantity value of the energy storage power supply and the electricity utilization demand value of the corresponding heat dissipation device/server.
Compared with the prior art, the invention has the beneficial effects that:
the invention firstly uses the flywheel standby power supply to replace part of the traditional chemical standby power supply, compared with the prior art which adopts chemical batteries, the flywheel standby power supply is more environment-friendly, the maintenance cost is reduced, the service life is prolonged, then each power supply can correspond to part of data areas of a data center through the distributed power supply design, the standby power supply can be switched according to the demand pertinence, the physical distance between the standby power supply and the corresponding equipment is designed to be shorter, the power consumption quality problem caused by line loss and line loss is reduced, the redundant electric energy can be returned to avoid waste, the accurate predicted value obtained through the calculation of the discharge threshold value algorithm and the energy storage grade algorithm ensures that the electric energy of the storage battery is not configured excessively, meanwhile, the independent charging time configuration according to different conditions can be distributed, the charging current is ensured to be healthy, the influence on the service life of the power supply is minimum, and each standby power supply system can be independently scheduled, so that the electric energy loss generated by scheduling is minimum.
Drawings
Fig. 1 is a schematic composition diagram of a control system of a green standby power supply for a data center in embodiment 1 of the present invention.
Fig. 2 is a schematic diagram illustrating the connection between the flywheel electric storage unit 620 and the heat dissipation apparatus in embodiment 1 of the present invention.
Detailed Description
The drawings are only for purposes of illustration and are not to be construed as limiting the invention. For a better understanding of the following embodiments, certain features of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
Example 1
The embodiment provides a regulation and control system of green standby power supply for data center, need not to adopt improvement means such as chemical battery that do not protect the environment, confirms the regulation and control mode of best standby power supply through algorithm and strategy, makes the charge time recombination, the charging current health of energy storage power supply, and the electrical loss minimum.
As shown in conjunction with fig. 1 and 2, the system includes:
the information acquisition module 100 is configured to acquire data center information and generate an energy storage security level and a discharge support level in real time according to the data center information.
Specifically, the data center information includes environmental data, server load data, and heat dissipation load data.
In a specific embodiment, the information obtaining module 100 monitors the CPU temperature of each server through a temperature sensor disposed in the data center, obtains the output power and the power consumption of each server, generates server load data according to the monitored data, and stores the server load data in the server load database. The information acquisition module 100 generates heat dissipation load data by acquiring output power and power consumption of the heat dissipation apparatus, and stores the heat dissipation load data in a heat dissipation apparatus load database.
Specifically, the information obtaining module 100 generates the energy storage safety level and the discharging support level in real time according to the data center information through the configured energy storage level calculation algorithm and the discharging support calculation algorithm.
The energy storage grade calculation algorithm is used for calculating an energy storage expected difference value and determining an energy storage safety grade according to the energy storage expected difference value.
The energy storage grade calculation algorithm is as follows:
wherein, the first and the second end of the pipe are connected with each other,
b is a preset environmental reference parameter,
is the average historical temperature value in the environmental data,
a is a preset exchangeable parameter with a value range of 1.2-1.7, n is the number of servers, m is the number of heat dissipation devices,
weight parameter for nth serverNumber is as follows
，
For the nth server historical average load power,
as the weight parameter of the mth heat sink device, there are
，
For the historical average load power of the mth heat sink,
in order to set the safe power-on time,
the total electric quantity of the current energy storage group.
The energy storage grade calculation algorithm updates and calculates at intervals to obtain corresponding energy storage expected difference values, the energy storage expected difference values reflect that the sum of the electric quantity of all power supplies of the standby power system is subtracted from the required energy storage under the premise of predicting the power consumption of the server and the consumption of the heat dissipation equipment, and the electric quantity of the standby power system can easily obtain the electric quantity condition of the standby power system which can be actually detected through the electric quantity acquisition circuit, namely the electric quantity condition of the standby power system is detected through the electric quantity acquisition circuit
The predicted total electric quantity needs to consider the following factors, namely, the influence of environmental factors and environmental variation, the average load power of each server and the average load power of each heat dissipation device on the same day, and the reliable support time of the standby power supply of the data system
That is to say, the system ensures that the server can ensure a certain power backup working time under the power to provide power supply return, the preset reference environmental parameter is updated in real time according to historical data and is related to the climate of the date, if the environmental temperature is higher, the climate is drier, even if the temporarily detected temperature is lower, a larger margin needs to be provided, the same parameter can be changed, namely, a basic guarantee of power supply stability is provided, and the higher the system reliability is, the higher the residual electric quantity under actual energy consumption is, the smaller the value can be, and the more the energy consumption is saved. The weight of the heat dissipation device depends on the following factors, the higher the cooling efficiency of the heat dissipation device and the frequency of use of the heat dissipation device, the higher the weight corresponding to the heat dissipation device, and the weight of the server can be used as a judgment basis according to the predicted load of the server and the reliability of the server itself, that is, the higher the reliability is, the higher the load is in the period of time, the higher the weight of the server is. The corresponding energy storage safety level can be dynamically generated in real time through the formula, so that the energy storage strategy can be adjusted. And the corresponding energy storage safety level can be obtained by looking up a table according to the calculation result of the actual energy storage expected difference, and the energy storage safety level table is configured in advance according to the scale of the data center and is provided with different strategies under different energy storage safety levels.
And the discharge support calculation algorithm is used for executing a discharge strategy and obtaining a simulation result when the energy storage safety level is greater than a preset simulation safety level, calculating a discharge support value according to the simulation result, and calculating the safety level according to the discharge support value.
The discharge support calculation algorithm is as follows:
wherein, the first and the second end of the pipe are connected with each other,
is a discharge support value, wherein c is presetA stable transition parameter, d is a preset current margin parameter, e is a preset scheduling margin parameter,
for the number of successful discharge strategy executions,
in order to provide the total reference power consumption,
for the number of executions of the discharge strategy,
as the weighting parameter of the x-th discharge strategy, there are
And is
，
Is the actual power usage of the xth discharge strategy.
The discharge support algorithm can also update the discharge support value in real time except that the initial level is established in advance according to the built test condition, the power supply parameter, the server parameter and the like. The discharge support value reflects the reliability of the system during power failure, the algorithm introduces a simulation result, the simulation discharge is performed when the safety level of the energy storage is higher, the power supply is performed through the energy storage power supply, firstly, whether the power supply of the standby power system is abnormal or not and whether a circuit is abnormal or not can be checked in time, secondly, the reliability under the standby power can be obtained in real time, the reliability of the system can be judged through the detection result, the following data need to be considered, 1, the success times of normal test of the system are increased, and the higher the reliability of the system is indicated. 2. And the electric quantity margin of the system is larger, and the system has enough electric energy to load the operation of the data center. 3. The system actually has the remaining electric quantity when executing the discharging strategy, and the more the system actually has the remaining electric quantity, the higher the system reliability is. If the whole system is in one-time execution abnormity, the system needs to be maintained, all data do not need to be repeatedly calculated after maintenance, namely, as long as one-time abnormity occurs in simulation or actual operation, the corresponding discharging support grade needs to be reconfigured, and in this way, the discharging support grade can also be dynamically generated, so that each energy storage group executes different discharging strategies, and the calculation efficiency is improved.
The power storage management module 200 is configured with a power storage response database configured with a power storage strategy. And the power storage management module is used for outputting a corresponding power storage strategy in real time according to the energy storage safety level.
The power storage strategy is used for determining the energy storage requirement value of each energy storage power supply through a power storage threshold algorithm, and if the energy storage requirement value is within a preset first energy storage threshold range, a priority power storage instruction is generated and output to the energy storage power supply, so that the energy storage power supply is connected to the charging circuit 800 when receiving the priority power storage instruction.
If the energy storage requirement value is within the range of a preset second energy storage threshold value, generating a peak shifting power storage instruction and outputting the peak shifting power storage instruction to an energy storage power supply; the peak shift power storage command includes a peak shift power storage condition, and the charging circuit 800 is connected when the energy storage power supply receives the peak shift power storage command and meets the peak shift power storage condition.
In the power storage strategies, the first energy storage threshold range, the second energy storage threshold range and the peak-to-peak power storage condition corresponding to different power storage strategies are different. The power storage threshold algorithm is used for determining the energy storage requirement value by determining the heat dissipation path fitting requirement value, the heat dissipation path history fitting requirement value, the weighted heat dissipation path fitting requirement value and the weighted heat dissipation path history fitting requirement value corresponding to the energy storage power supply. The heat dissipation path fitting requirement value reflects the electric quantity requirement of the corresponding energy storage power supply under the heat dissipation path, and the history fitting requirement value reflects the electric quantity requirement of the energy storage power supply predicted according to the history power consumption data. The off-peak power storage condition comprises a load sub-condition and a time sub-condition, the load sub-condition is considered to be met when the device load corresponding to the power storage power supply is smaller than a preset load threshold, the time sub-condition is configured with a plurality of idle time periods according to the historical load data of the device, and the time sub-condition is considered to be met when the time reaches the idle time periods.
The first is that the heat dissipation path fitting requirement data is different for the heat dissipation equipment and the server, the heat dissipation path fitting requirement data is firstly obtained for the heat dissipation equipment, the historical power consumption data of each heat dissipation equipment and the historical power consumption data of the server are firstly obtained, the heat dissipation path is generated by using the minimum power consumption as a principle, the working condition of the heat dissipation equipment is reflected by the heat dissipation path and is related to the temperature of a CPU at the corresponding position, after the predicted heat dissipation path is obtained, the power consumption requirement of each server and the power consumption requirement of each heat dissipation equipment under the simulation condition can be obtained by calculation, the power consumption requirement is the required power supply quantity of the required power minus the existing power quantity of the storage battery under the simulation condition, the sum can obtain the required value of the heat dissipation path, the historical fitting requirement value is obtained by calculation according to the current average use requirement, the energy storage requirement of each storage battery can be respectively calculated, if the calculated required power storage requirement is higher, the requirement is more urgent, if the calculated required energy storage requirement is located in the preset first energy storage requirement, the corresponding energy storage threshold value is generated, and the second energy storage power storage requirement is a charge instruction is received when the energy storage priority load is higher, the charge requirement, and the second energy storage equipment is needed.
The discharging management module 300 is configured with a discharging response database storing discharging strategies, and is used for outputting the discharging strategies in real time according to the discharging support levels.
The discharging strategy is used for calculating the discharging support allowance of each energy storage power supply through a discharging threshold algorithm. If the discharging support allowance is larger than a preset first support threshold, the energy storage power supply is connected to the power supply main loop 700 and the corresponding power supply branch 710 at the same time; if the discharging support margin is smaller than the first support threshold and larger than the second support threshold, the energy storage power source is connected to the corresponding power supply branch 710 and the power supply main loop 700 is shielded. And if the discharging support allowance is smaller than the second support threshold, the energy storage power supply is connected to the corresponding power supply branch 710.
The discharging threshold algorithm includes calculating a difference between an electric quantity value of the energy storage power source and an electric demand value of a corresponding device to obtain a discharging support margin.
The power demand value of the corresponding equipment is a feedback value under real-time monitoring at the moment, and can be obtained by calculating the working power of the corresponding equipment multiplied by the preset support time, if the discharging support margin is greater than the preset first support threshold, the energy storage power supply is simultaneously connected into the power supply main loop 700 and the corresponding power supply branch 710, if the discharging support margin is smaller than the first support threshold and is greater than the second support threshold, the energy storage power supply is connected into the corresponding power supply branch 710 and shields the power supply main loop 700, if the discharging support margin is smaller than the second support threshold, the energy storage power supply is connected into the corresponding power supply branch 710, namely if the discharging support margin is very large, the main circuit can feed back the power to other equipment for use, and if the discharging margin is just enough for the work of the corresponding equipment, an independent power supply loop can be formed, the service life of the power supply is prolonged, and if the discharging power is not large, the main circuit needs the support of power supply, so the main circuit 700 does not need to be shielded; the discharging strategy is also provided with a scheduling condition, when the scheduling condition is triggered, a preset scheduling sub-strategy is executed, the scheduling sub-strategy comprises a plurality of scheduling tasks, and the server receives and executes the scheduling tasks. The discharging strategy comprises a preset heat dissipation path, the heat dissipation grade of each server is marked according to the heat dissipation path, the expected load of the server with the heat dissipation grade higher than the preset expected grade is calculated, and when the expected load is larger than the preset server reference load, the heat dissipation condition is considered to be met. The scheduling sub-strategy comprises the steps of calculating a scheduling consumption value between any servers according to the difference value of the heat dissipation levels, and generating a corresponding scheduling task according to the scheduling consumption value.
The discharging strategy is also provided with a scheduling condition, when the scheduling condition is met, a preset scheduling sub-strategy is executed, the scheduling sub-strategy is used for generating a plurality of scheduling tasks, and the scheduling tasks are output to the server so as to be received and executed.
By triggering the scheduling condition, because the position of the radiator is known, a heat dissipation path is preset in advance, that is, an optimal heat dissipation mode under normal conditions, energy consumption is saved, under the heat dissipation path, the heat dissipation effect of a server far away from the heat dissipation path is reduced, so if the heat generation of the server is very high, a potential safety hazard occurs, so in order to cooperate with the heat dissipation path corresponding to the heat dissipation strategy to save energy consumption, each server is configured with a heat dissipation grade in advance according to the position relationship of the heat dissipation path, the heat dissipation grade reflects the heat dissipation efficiency, when the data processing capacity of the server with the high heat dissipation grade is large, and the data processing capacity of the server with the low heat dissipation grade is small, the loss generated by scheduling is small, the loss calculation generated by scheduling can be set according to the power and the physical position relationship of the server, so that it is necessary to schedule the server with the high heat dissipation efficiency for safety, that a corresponding scheduling task is generated, the scheduling task also comprises scheduling execution, delayed execution and refute execution, different execution contents are output according to ensure that the power consumption of the data center is maximally saved while the power supply is abnormal in the data center, and the basic function of the data center is not affected by the energy consumption.
The energy storage group 600 includes a plurality of server energy storage power sources 610 and a plurality of heat dissipation energy storage power sources.
Each server energy storage power supply 610 at least corresponds to a server in one data center, and each heat dissipation energy storage power supply at least corresponds to a heat dissipation device in one data center. As shown in fig. 1, the server group 400 includes a plurality of servers, and the heat dissipation group 500 includes a plurality of heat dissipation devices. The two devices with the largest power consumption of the data center are the heat dissipation device and the server.
In a specific embodiment, the heat dissipating energy storage power source is a flywheel storage unit 620.
As shown in fig. 2, flywheel storage section 620 includes an external power supply, an inverter charging circuit 901, an inverter discharging circuit 902, and an inverter decelerating circuit 903. The variable-frequency charging circuit 901 works in response to a charging instruction, the variable-frequency discharging circuit 902 works in response to a discharging instruction, and the variable-frequency speed reducing circuit 903 works in response to a refrigerating instruction.
The flywheel electric power storage unit 620 and the heat dissipation fan of the corresponding heat dissipation device are located in the same shell and are coaxially arranged. The flywheel storage unit 620 and the heat dissipation device are located in the same housing, so that the transition coil is not exposed.
The coil of the flywheel electric storage unit 620 is coupled to the charging circuit 800 through a variable frequency charging circuit 901, coupled to the power supply branch 710 and the power supply main circuit 700 through a variable frequency discharging circuit 902, and coupled to the corresponding coil of the heat dissipation fan through a variable frequency speed reduction circuit 903.
The power supply branch 710 is coupled to a refrigeration unit of the heat dissipation apparatus and provides refrigeration capacity to the refrigeration unit.
The invention adopts the flywheel power storage unit 620 as one of energy storage power sources, and because the problem of the original energy conversion efficiency of the flywheel power storage unit 620 is solved through the suspension bearing technology, the problems of high energy consumption and environmental pollution caused by mechanical energy conversion of the flywheel power storage unit 620 are solved. As shown in fig. 2, the variable frequency speed reducing circuit 903 is coupled to the variable frequency charging circuit 901, when the variable frequency charging circuit 901 operates, the variable frequency speed reducing circuit 903 operates in a charging state, and the variable frequency speed reducing circuit 903 obtains an operating frequency of the variable frequency speed reducing circuit 903 according to the operating frequency of the variable frequency charging circuit 901 and a target operating frequency of the cooling fan. The frequency conversion speed reducing circuit 903 is coupled to the frequency conversion discharging circuit 902, when the frequency conversion discharging circuit 902 works, the frequency conversion speed reducing circuit 903 works in a charging state, and the frequency conversion speed reducing circuit 903 obtains the working frequency of the frequency conversion speed reducing circuit 903 according to the working frequency of the frequency conversion discharging circuit 902 and the target working frequency of the heat dissipation fan. And thus, there are four ways, if it is charged and discharged separately, it is charged to the flywheel electric storage unit 620 directly through the charging circuit 800 and the frequency conversion charging circuit 901, if it is required to discharge separately, it is able to release electric energy to the power supply branch 710 or the power supply main circuit 700 through the discharging circuit and the frequency conversion discharging circuit 902, and if it is required to ensure the work of the cooling fan while charging, it is able to complete the cooling wind only by turning on the frequency conversion speed reducing circuit 903 while charging, because the coil windings are in one-to-one correspondence, it is able to adjust the rotation speed of the rotating magnetic field of the flywheel motor and the rotation speed ratio of the rotating magnetic field of the cooling fan while charging only by adjusting the frequency ratio, for example, the flywheel motor switches a coil for energizing every 2us, if there is no frequency conversion speed limiting circuit, the cooling fan also switches a coil for 2us, so the rotation speed of the cooling fan is too fast, and if it reaches 20us, it is able to switch a coil, it is able to ensure the rotation speed of the cooling fan, so it only needs to pass through the same frequency conversion circuit, when receiving 10 times switching signals, it is equivalent to realize one switching, it is able to realize two circuits, and it is not necessary to reduce the energy consumption of rectification circuits, and reduce the cost of rectification circuits and reduce the voltage. Similarly, if the work of the heat dissipation fan needs to be controlled while discharging, the flywheel outputs current on a loop where the coil is located under the impedance of the excitation coil, and the current directly enters the coil of the heat dissipation fan to excite the heat dissipation fan to rotate, so that an inverter circuit and a booster circuit are not needed, and then energy conversion is completed through rectification, voltage reduction and frequency conversion of the heat dissipation fan. According to the invention, the circuit transduction is saved through the design, the energy consumption is reduced, and meanwhile, on the basis, the refrigeration module in the refrigeration equipment can be driven to refrigerate through direct current high voltage, so that the power supply of the power supply branch 710 can be completed only by arranging the rectifying circuit on the power supply branch 710, and the energy consumption is further reduced.
It should be understood that the above-mentioned embodiments of the present invention are only examples for clearly illustrating the technical solutions of the present invention, and are not intended to limit the specific embodiments of the present invention. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention claims should be included in the protection scope of the present invention claims.
Claims (9)
1. A regulation and control system of green standby power supply for a data center is characterized by comprising:
the information acquisition module is used for acquiring data center information;
the information acquisition module is configured with an energy storage grade calculation algorithm and a discharge support calculation algorithm, an energy storage safety grade is generated in real time according to data center information through the energy storage grade calculation algorithm, and a discharge support grade is generated in real time according to the data center information through the discharge support calculation algorithm;
the energy storage grade calculation algorithm is as follows:
wherein the content of the first and second substances,
b is a preset environmental reference parameter,
is the average historical temperature value in the environmental data,
a is a preset exchangeable parameter with a value range of 1.2-1.7, n is the number of servers, m is the number of heat dissipation devices,
as a weight of the nth serverParameter is as follows
，
For the nth server historical average load power,
as the weight parameter of the mth heat sink device, there are
，
For the historical average load power of the mth heat sink,
in order to set the safe power-on time,
the total electric quantity of the current energy storage group;
the discharge support calculation algorithm is
Wherein, the first and the second end of the pipe are connected with each other,
is the discharge support value, wherein c is a preset stable transition parameter, d is a preset current margin parameter, e is a preset scheduling margin parameter,
for the number of successful execution times of the discharging strategy,
in order to provide the total reference power consumption,
for the number of executions of the discharge strategy,
as a weight parameter of the x-th discharge strategy, there are
And is
，
Actual power usage for the xth discharge strategy;
the power storage management module is configured with a power storage response database, and the power storage response database is configured with a power storage strategy; the electric power storage management module is used for outputting a corresponding electric power storage strategy in real time according to the energy storage safety level;
the discharge management module is configured with a discharge response database, the discharge response database is configured with a discharge strategy, and the discharge management module is used for outputting the discharge strategy in real time according to the discharge support level;
the energy storage group comprises a plurality of server energy storage power supplies and a plurality of heat dissipation energy storage power supplies;
each server energy storage power supply is arranged corresponding to at least one server in one data center, and each heat dissipation energy storage power supply is arranged corresponding to at least one heat dissipation device in the data center;
the electric power storage strategy is used for determining an energy storage requirement value of each energy storage power supply through an electric power storage threshold algorithm, and if the energy storage requirement value is within a preset first energy storage threshold range, a priority electric power storage command is generated and output to the energy storage power supply so that the energy storage power supply is connected to a charging loop when receiving the priority electric power storage command; if the energy storage requirement value is within the range of a preset second energy storage threshold value, generating a peak shifting power storage instruction and outputting the peak shifting power storage instruction to an energy storage power supply; the peak shifting power storage instruction comprises a peak shifting power storage condition, and when the energy storage power supply receives the peak shifting power storage instruction and meets the peak shifting power storage condition, a charging loop is connected;
the discharge strategy is used for calculating the discharge support allowance of each energy storage power supply through a discharge threshold algorithm; if the discharging support allowance is larger than a preset first support threshold, the energy storage power supply is connected to the power supply main loop and the corresponding power supply branch circuit at the same time; if the discharging support allowance is smaller than the first support threshold and larger than the second support threshold, the energy storage power supply is connected to the corresponding power supply branch and a power supply main loop is shielded; if the discharging support allowance is smaller than a second support threshold, the energy storage power supply is connected to the corresponding power supply branch;
the discharging strategy is also provided with a scheduling condition, when the scheduling condition is met, a preset scheduling sub-strategy is executed, the scheduling sub-strategy is used for generating a plurality of scheduling tasks and outputting the scheduling tasks to a server so as to receive and execute the scheduling tasks.
2. The regulation and control system of the green standby power supply for the data center according to claim 1, wherein the heat dissipation energy storage power supply is arranged as a flywheel energy storage unit;
the flywheel electric power storage unit comprises an external power supply, a variable-frequency charging circuit, a variable-frequency discharging circuit and a variable-frequency speed reducing circuit;
the flywheel power storage unit and a corresponding heat dissipation fan of the heat dissipation equipment are positioned in the same shell and are coaxially arranged;
the coil of the flywheel electric storage unit is coupled to the charging loop through a variable frequency charging circuit, is coupled to the power supply branch circuit and the power supply main loop through a variable frequency discharging circuit, and is coupled to the coil of the corresponding heat dissipation fan through a variable frequency speed reduction circuit;
the power supply branch is coupled with the refrigeration unit of the heat dissipation device and provides refrigeration capacity for the refrigeration unit.
3. The system for controlling a green standby power supply for a data center according to claim 2,
the variable-frequency speed reducing circuit is coupled to the variable-frequency charging circuit;
when the variable-frequency charging circuit works, the variable-frequency speed reducing circuit works in a charging state;
and the frequency conversion speed reduction circuit obtains the working frequency of the frequency conversion speed reduction circuit according to the working frequency of the frequency conversion charging circuit and the target working frequency of the heat radiation fan.
4. The system for controlling a green standby power supply for a data center according to claim 1,
the discharging strategy is further used for marking the heat dissipation grade of each server according to a preset heat dissipation path, calculating the expected load of the server with the heat dissipation grade higher than the preset expected grade, and when the expected load is larger than the preset server reference load, determining that the scheduling condition is met.
5. The system for regulating and controlling a green standby power supply for a data center according to claim 4,
the scheduling sub-policy is used for generating a plurality of scheduling tasks, and specifically includes:
the scheduling sub-strategy is used for calculating a scheduling consumption value between any servers according to the difference value of the heat dissipation levels and generating a plurality of corresponding scheduling tasks according to the scheduling consumption value.
6. The system for regulating and controlling a green standby power supply for a data center according to claim 5,
the scheduling task is used for acquiring priority value information marked in the data task, and when the priority value information is a first result, the data task is sent to a server corresponding to the scheduling task so as to be executed; when the priority value information is a second result, the data task is executed again in the server after the preset interval time; and when the priority value information is a third result, sending the data task back to the request end and stopping execution.
7. The system for regulating and controlling the green standby power supply for the data center according to any one of claims 1 to 6,
the off-peak power storage condition comprises a load sub-condition and a time sub-condition, the load sub-condition is considered to be met when the equipment load corresponding to the energy storage power supply is smaller than a preset load threshold, the time sub-condition is configured with a plurality of idle time periods according to the historical load data of the equipment, and the time sub-condition is considered to be met when the time reaches the idle time periods.
8. The system for regulating and controlling the green standby power supply for the data center according to any one of claims 1 to 6,
the electricity storage threshold algorithm is used for determining the energy storage requirement value by determining a heat dissipation path fitting requirement value, a heat dissipation path history fitting requirement value, a weighted heat dissipation path fitting requirement value and a weighted heat dissipation path history fitting requirement value corresponding to the energy storage power supply.
9. The system for regulating and controlling the green standby power supply for the data center according to any one of claims 1 to 6, wherein the discharge threshold algorithm is used for obtaining the discharge support margin by determining a difference between an electric quantity value of the energy storage power supply and a power demand value of a corresponding heat dissipation device/server.
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