CN115149572B - Parallel operation control method and device of generator and computer program product - Google Patents
Parallel operation control method and device of generator and computer program product Download PDFInfo
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- CN115149572B CN115149572B CN202210854033.7A CN202210854033A CN115149572B CN 115149572 B CN115149572 B CN 115149572B CN 202210854033 A CN202210854033 A CN 202210854033A CN 115149572 B CN115149572 B CN 115149572B
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- 238000000034 method Methods 0.000 title claims abstract description 70
- 238000004590 computer program Methods 0.000 title description 14
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- 239000000446 fuel Substances 0.000 claims description 26
- 230000005611 electricity Effects 0.000 claims description 18
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- 238000005516 engineering process Methods 0.000 abstract description 4
- 238000004891 communication Methods 0.000 description 11
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Classifications
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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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
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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
- H02J3/007—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
- H02J3/0075—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
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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
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
- H02J3/144—Demand-response operation of the power transmission or distribution network
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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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/40—Synchronising a generator for connection to a network or to another generator
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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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
- H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
- H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
- H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
- H02J2310/58—The condition being electrical
- H02J2310/60—Limiting power consumption in the network or in one section of the network, e.g. load shedding or peak shaving
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The disclosure provides a parallel operation control method, a parallel operation control device, electronic equipment, a storage medium and a program product of a generator, and particularly relates to a parallel operation technology of the generator, which can be used in a data center power supply scene. The specific implementation scheme is as follows: determining a most economical load power of a generator in the generator set based on the adjustable load; determining a target number of generators in the generator set for supplying power to the data center according to the most economical load power; and controlling a target number of generators in the generator set to supply power for the data center. The power supply stability of the data center is guaranteed, and the economy of the power supply process of the generator to the data center is improved.
Description
Technical Field
The disclosure relates to the field of computer technology, in particular to a generator parallel operation technology, and especially relates to a parallel operation control method, device, electronic equipment, storage medium and computer program product of a generator, which can be used in a data center power supply scene.
Background
The data center belongs to a primary power supply load and requires 24 hours of stable power supply. When the conditions of power supply load limitation in summer, power failure transformation of an upper-level substation and the like occur, the data center needs to start the diesel generator to bear all loads. Currently, the diesel generator parallel operation control system of most data centers uses all diesel generators to carry the whole load of the data centers, or operation and maintenance personnel adjust the total number of diesel generators in parallel operation during power failure by self experience, so that the generators are overloaded or severely redundant.
Disclosure of Invention
The present disclosure provides a parallel operation control method, apparatus, electronic device, storage medium and computer program product of a generator.
According to a first aspect, there is provided a parallel operation control method of a generator, including: determining a most economical load power of a generator in the generator set based on the adjustable load; determining a target number of generators in the generator set for supplying power to the data center according to the most economical load power; and controlling a target number of generators in the generator set to supply power for the data center.
According to a second aspect, there is provided a parallel operation control device of a generator, comprising: a first determination unit configured to determine a most economic load power of a generator in the generator set based on the adjustable load; a second determining unit configured to determine a target number of generators in the generator set powering the data center based on the most economic load power; and the control unit is configured to control a target number of generators in the generator set to supply power for the data center.
According to a third aspect, there is provided an electronic device comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a method as described in any one of the implementations of the first aspect.
According to a fourth aspect, there is provided a non-transitory computer readable storage medium storing computer instructions for causing a computer to perform a method as described in any implementation of the first aspect.
According to a fifth aspect, there is provided a computer program product comprising: a computer program which, when executed by a processor, implements a method as described in any of the implementations of the first aspect.
According to the technology disclosed by the invention, the most economic load power of the generators in the generator set is determined based on the adjustable load, so that the power supply of the data center to the generators with the target number is determined according to the most economic load power, and the economy of the power supply process of the generators to the data center is improved on the basis of ensuring the power supply stability of the data center.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.
Drawings
The drawings are for a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:
FIG. 1 is an exemplary system architecture diagram to which an embodiment according to the present disclosure may be applied;
FIG. 2 is a flow chart of one embodiment of a parallel operation control method of a generator according to the present disclosure;
fig. 3 is a schematic diagram of an application scenario of a parallel operation control method of the generator according to the present embodiment;
FIG. 4 is a flow chart of yet another embodiment of a parallel operation control method of a generator according to the present disclosure;
FIG. 5 is a block diagram of one embodiment of a parallel operation control device of a generator according to the present disclosure;
FIG. 6 is a schematic diagram of a computer system suitable for use in implementing embodiments of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
In the technical scheme of the disclosure, the related processes of collecting, storing, using, processing, transmitting, providing, disclosing and the like of the personal information of the user accord with the regulations of related laws and regulations, and the public order colloquial is not violated.
Fig. 1 illustrates an exemplary architecture 100 to which the parallel operation control method and apparatus of the generator of the present disclosure may be applied.
As shown in fig. 1, the system architecture 100 may include a generator set of generators 101, 102, 103, a data center 104, an adjustable load 105, a network 106, and a parallel operation control cabinet 107. The generators 101, 102 and 103 are in communication connection to form a topological network, and power is supplied to a data center through parallel operation buses; network 106 is a medium that provides communication links between generators 101, 102, 103 and parallel operation control cabinet 107, between data center 104 and parallel operation control cabinet 107, and between adjustable load 105 and parallel operation control cabinet 107. The network 106 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
The parallel operation control cabinet 107 interacts with the generators 101, 102 and 103 and the adjustable load 105 through the network 106, acquires power supply information (for example, rated power and most economic load power) of each generator, controls the generators 101, 102 and 103 to be turned on and off, and determines the most economic load power of the generator based on the adjustable load 105; the parallel operation control cabinet 107 interacts with the data center 104 through the network 106 to acquire electricity information of the data center.
The parallel operation control cabinet 107 is composed of an industrial computing control unit, a signal conversion module and a man-machine interaction module. Specifically, the parallel operation control cabinet 107 collects power supply information of each generator in the generator set, a corresponding parallel operation output breaker switch state, load information of an adjustable load and power consumption information of a data center through a signal conversion module; interacting with a target person (e.g., an operation and maintenance person) through a man-machine interaction module to obtain related preset parameters; and determining the most economic load power of the generators in the generator set according to the adjustable load by the calculation control unit so as to determine the target number of the generators in the generator set for supplying power to the data center, and controlling the target number of the generators to supply power to the data center. In order to ensure the working stability of the parallel operation control cabinet, an uninterruptible power supply is adopted to supply power for the parallel operation control cabinet.
It should be noted that, the parallel operation control method of the generator provided by the embodiment of the disclosure may be executed by a parallel operation control cabinet. Accordingly, each part (such as each unit) included in the parallel operation control device of the generator can be all arranged in the parallel operation control cabinet
It should be understood that the number of generators, data centers, adjustable loads, networks, and parallel operation control cabinets in fig. 1 are merely illustrative. Any number of generators, data centers, networks, and parallel operation control cabinets may be provided as desired. When the electronic device on which the parallel operation control method of the generator operates does not need to perform data transmission with other electronic devices, the system architecture may only include the electronic device (e.g., a parallel operation control cabinet) on which the parallel operation control method of the generator operates.
Referring to fig. 2, fig. 2 is a flowchart of a parallel operation control method of a generator according to an embodiment of the disclosure, where the flowchart 200 includes the following steps:
step 201, determining the most economical load power of the generator in the generator set based on the adjustable load.
In this embodiment, the execution subject of the parallel operation control method of the generator (for example, the parallel operation control cabinet in fig. 1) may determine the most economical load power of the generator in the generator set based on the adjustable load.
The generator set comprises a plurality of generators, is power generation equipment matched with the data center, and can supply power to the data center under the condition of power failure of the commercial power. Typically, the generator in the generator set is a diesel generator. The plurality of generators in the generator set may be the same or different and are not limited herein.
The data center is an abbreviation of an internet data center (Internet Data Center, abbreviated as IDC) and refers to a platform which has perfect equipment (including high-speed internet access bandwidth, high-performance local area network, safe and reliable machine room environment and the like), specialized management and perfect application service. The internet data center performs centralized management of data storage, calculation, exchange and the like. On this platform basis, IDC service providers offer customers internet base platform services (e.g., server hosting, virtual hosts, mail caching, virtual mail, etc.) as well as various value added services (e.g., site renting services, domain name system services, load balancing systems, database systems, data backup services, etc.).
The adjustable load is an adjustable load box capable of adjusting the load size so as to simulate the electricity consumption requirement of the data center. When condition information (e.g., rated power, operating duration, degree of maintenance) of a plurality of generators in a generator set is not the same, the most economical load power of each generator may be different. At this time, the adjustable load can be connected with each generator in turn, and the change information of the oil consumption of the generator along with the change of the load power under different load conditions is determined by adjusting the load information of the adjustable load, so that the most economic load power is determined according to the change information. When the generator is operating at the most economical load power, it provides the most economical load power.
When the condition information of the plurality of generators in the generator set is the same, the most economic load power of one of the generators may be determined as the most economic load power corresponding to each generator.
In this embodiment, after the most economical load power is obtained, the most economical load rate may be obtained by determining a ratio based on the most economical load power and the rated power of the generator.
Step 202, determining a target number of generators in the generator set to power the data center based on the most economical load power.
In this embodiment, the executing body may determine, according to the most economical load power, a target number of generators in the generator set that supply power to the data center.
As an example, when the most economical load powers of the generators in the generator set are the same, the above-described execution body may employ a manner of accumulating the most economical load powers of the generators until the sum of the accumulated load powers of the generators at the most economical load powers is not less than the total load power of the data center and is closest to the total load power of the data center, thereby determining the number of generators at that time as the target number.
As yet another example, when the most economical load powers of the generators in the generator set are different, the above-described execution body may determine the target most economical load power by taking a mean value of the most economical load powers corresponding to the plurality of generators, or determine a median value among the most economical load powers corresponding to the plurality of generators as the target most economical load power. Further, the power accumulation is performed with the target most economical load power as the economical load power of each generator until the sum of the accumulated load powers is not less than the total load power of the data center and is closest to the total load power of the data center, thereby determining the number of generators at this time as the target number.
As yet another example, when the most economical load powers of the generators in the generator sets are different, the most economical load powers of the generators in the generator sets may be determined, respectively, so that the most economical load powers of the generators are accumulated until the sum of the accumulated load powers is not less than the total load power of the data center and is closest to the total load power of the data center, so that the number of generators at this time is determined as the target number.
Step 203, controlling a target number of generators in the generator set to supply power for the data center.
In this embodiment, the executing body may control a target number of generators in the generator set to supply power to the data center.
As an example, each generator in the generator set is provided with a corresponding parallel operation output controller, and the execution main body can control the start and the stop of the parallel operation output controller so as to control the operation of the generator to the data center; furthermore, the executing body can control the target number of generators in the generator set to supply power to the data center by controlling each generator in the generator set to output the controller.
With continued reference to fig. 3, fig. 3 is a schematic diagram 300 of an application scenario of the parallel operation control method of the generator according to the present embodiment. In the application scenario of fig. 3, the system comprises a generator set 301, a parallel operation control cabinet 302, a data center 303 and an adjustable load 304. The generator set 301 comprises generators 3011-3014 and parallel operation output breakers 3015-3018 corresponding to the generators. The parallel operation control cabinet 302 firstly controls the generators 3011-3014 in the generator set 301 to be sequentially connected with the adjustable load 304, and determines the most economic load power of the generators 3011-3014 in the generator set 301 by adjusting the size of the adjustable load; then, determining the target number of generators in the generator set for supplying power to the data center according to the most economic load power; and finally, controlling a target number of generators in the generator set to supply power to the data center. Specifically, the target number is 3, and the generators 3011-3013 are controlled to supply power to the data center by closing the parallel output circuit breakers 3015-3017 corresponding to the generators 3011-3013.
In the embodiment, the parallel operation control method of the generators is provided, and the most economic load power of the generators in the generator set is determined based on the adjustable load, so that the power supply of the generators with the target number is determined according to the most economic load power, and the economy of the generators in the power supply process of the data center is improved on the basis of ensuring the power supply stability of the data center.
In some optional implementations of this embodiment, the executing body may execute the step 201 as follows:
firstly, the load of a generator in the generator set is adjusted through an adjustable load, and the oil consumption of the generator is determined through an oil flow meter in an oil pipeline of the generator in the adjusting process.
In the implementation mode, a high-precision oil flow meter is arranged in an oil pipeline of each generator in the generator set so as to detect oil consumption information in a load adjusting process.
Second, the most economical load power of the generator in the generator set is determined based on the load and the fuel consumption during the regulation.
As an example, the execution subject may determine a correspondence between the load and the fuel consumption of each generator in the generator set, and further determine the most economical load power of the generator according to the correspondence between the load and the fuel consumption.
In the implementation mode, the corresponding relation between the load and the fuel consumption of the generator is determined based on the adjustable load and the high-precision fuel flow meter, so that the most economic load power is determined, and the accuracy of the determined most economic load power is improved.
In some optional implementations of this embodiment, the executing body may execute the second step by: firstly, determining a curve of the change of the oil consumption of a generator in a generator set along with the load power in unit time according to the load and the oil consumption in the adjusting process; then, the load factor corresponding to the position with the smallest slope in the curve is determined as the most economical load power.
As an example, for the obtained load and fuel consumption during the adjustment, the execution guard may determine a curve of the fuel consumption per unit time of the generator with respect to the load power, with the fuel consumption on the vertical axis and the load on the horizontal axis.
In the implementation, the most economic load power is determined based on the minimum slope in the curve representing the corresponding relationship between the load and the fuel consumption, and the accuracy of the determined most economic load power is further improved.
In some alternative implementations of this embodiment, the executing entity may adjust the load of the generator in the generator set by adjusting the load by performing the following: and according to the power factor of the data center, taking a preset value as a gradient, and adjusting the load of the generator in the generator set through an adjustable load until the rated power of the generator in the generator set is reached.
The power factor characterizes the duty cycle information of the active power in the apparent power. The adjustable load comprises a resistive load, a capacitive load and an inductive load, the active power of the generator can be adjusted by adjusting the resistive load in the adjustable load, and the reactive power can be adjusted by adjusting the capacitive load and the inductive load in the adjustable load.
The execution main body can always adjust the active power and the reactive power of the adjustable load according to the power factor of the data center in the load adjusting process. The preset value can be specifically set according to actual conditions. For example, the preset value is 10 kw.
As an example, the executing body may start from 0 kw, load the adjustable load gradually with one step per 10 kw until the active power of the adjustable load reaches the rated power of the generator, and the generator keeps running stably for 1 minute after each adjustment.
In the implementation mode, the adjustable load is adjusted by taking the preset value as the gradient based on the load characteristic of the data center, so that the matching degree of the adjustable load and the data center is further improved, and the similarity between the adjustment process and the actual condition of the data center is improved.
In some optional implementations of this embodiment, the executing body may execute the step 203 as follows:
in response to determining that the electricity demand of the data center can be satisfied based on the generator and the most economic load power in the generator set, a target number of generators in the generator set that power the data center is determined based on the most economic load power of the generators in the generator set.
As an example, when the most economical load powers of the generators in the generator set are the same, the execution subject may multiply the load power corresponding to the most economical load power of the generators by the total number of generators in the generator set to obtain the total power; further, when it is determined that the total power is not less than the total load power of the data center, the determination is based on the generator in the generator set and the most economical load power, so that the electricity demand of the data center can be satisfied.
As yet another example, when the most economic load powers of the generators in the generator set are different, the most economic load powers corresponding to the generators may be added to obtain a total power; further, when it is determined that the total power is not less than the total load power of the data center, the determination is based on the generator in the generator set and the most economical load power, so that the electricity demand of the data center can be satisfied.
In the event that it is determined that the electricity demand of the data center can be met based on the most economic load power of the generators in the generator set, a target number of generators in the generator set that power the data center may be determined based on the most economic load power of the generators.
In the implementation manner, the target number is determined according to the most economic load power under the condition that the electricity demand of the data center can be met based on the generator in the generator set and the most economic load power, so that the accuracy and the applicability of the determining process of the target number are improved.
In some optional implementations of this embodiment, the executing body may execute the step 203 as follows:
first, in response to determining that the electricity demand of the data center cannot be met based on the generator and the most economical load power in the generator set, a minimum load power that the generator in the generator set needs to bear is determined based on the electricity demand.
In the implementation manner, when the total power is determined to be smaller than the total load power of the data center, the power consumption requirement of the data center cannot be met based on the power generator and the most economic load power in the power generating set.
As an example, when the electricity consumption requirement of the data center is 10000 kw, the generator set includes 10 generators, and the most economical load power of each generator is 800 kw, the generator set can only provide 8000 (800×10) kw under the most economical load power of the generator, and cannot meet the electricity consumption requirement of the data center. At this time, each generator can meet the power requirement of the data center only by loading at least 1000 kilowatts, and the minimum load power of the generator is 1000 kilowatts.
Then, the sub-economic load power corresponding to the position with the smallest slope in the part of the curve larger than the minimum load power is determined.
With continued reference to the above example, the minimum load power is 1000 kw, and the above execution body determines the sub-economic load power corresponding to the position where the slope is the smallest in the portion of the curve greater than 1000 kw.
Finally, a target number of generators in the generator set to power the data center is determined based on the sub-economic load power of each generator in the generator set.
As an example, when the curves of the generators in the generator set are the same, the above-described execution body may employ a manner of accumulating the sub-economic load powers until the sum of the accumulated sub-economic load powers is not less than and closest to the total load power of the data center, thereby determining the number of generators at this time as the target number.
As yet another example, when curves of the generators in the generator set are different, the above-described execution subject may determine the target sub-economic load power by taking a mean value of the plurality of sub-economic load powers corresponding to the plurality of generators, or determine a median value among the plurality of sub-economic load powers corresponding to the plurality of generators as the target sub-economic load power. Further, the target sub-economic load power of each generator is added up as the load power of the generator until the sum of the added up target sub-economic load powers is not less than the total load power of the data center and is closest to the total load power of the data center, thereby determining the number of generators at this time as the target number.
In the implementation mode, under the condition that the power consumption requirement of the data center cannot be met based on the power generator and the most economic load power in the power generator set, the data center is powered based on the secondary economic load power, and the completeness of the power supply process is improved on the basis of ensuring the power supply economy.
With continued reference to fig. 4, there is shown a schematic flow 400 of yet another embodiment of a parallel operation control method of a generator according to the present disclosure, including the steps of:
step 401, according to the power factor of the data center, taking a preset value as a gradient, and adjusting the load of a generator in the generator set through an adjustable load until the rated power of the generator in the generator set is reached.
Step 402, determining the fuel consumption of the generator through a fuel flow meter in a fuel delivery pipeline of the generator during adjustment.
Step 403, determining a curve of the change of the oil consumption per unit time of the generator in the generator set along with the load power according to the load and the oil consumption in the adjusting process.
Step 404, determining the load factor corresponding to the position with the smallest slope in the curve as the most economical load power.
In response to determining that the power demand of the data center can be met based on the generator and the most economic load power in the generator set, a target number of generators in the generator set to power the data center is determined based on the most economic load power of the generators in the generator set, step 405.
In response to determining that the power demand of the data center cannot be met based on the generator and the most economical load power in the generator set, a minimum load power that the generator in the generator set needs to bear is determined based on the power demand, step 406.
In step 407, the sub-economic load power corresponding to the position with the smallest slope in the portion of the curve greater than the minimum load power is determined.
Step 408, determining a target number of generators in the generator set to power the data center based on the sub-economic load power of each generator in the generator set.
Step 409, controlling a target number of generators in the generator set to supply power to the data center.
As can be seen from this embodiment, compared with the embodiment corresponding to fig. 2, the flow 400 of the parallel operation control method of the generator in this embodiment specifically illustrates the determination process of the most economic load power and the determination process of the target number, so that the economy of the generator in the power supply process of the data center is improved on the basis of ensuring the power supply stability of the data center.
With continued reference to fig. 5, as an implementation of the method shown in the foregoing figures, the present disclosure provides an embodiment of a parallel operation control apparatus of a generator, where the apparatus embodiment corresponds to the method embodiment shown in fig. 2, and the apparatus may be specifically applied to various electronic devices.
As shown in fig. 5, the parallel operation control device of the generator includes: a first determining unit 501 configured to determine the most economic load power of the generators in the generator set based on the adjustable load; a second determining unit 502 configured to determine a target number of generators in the generator set powering the data center based on the most economic load power; a control unit 503 configured to control a target number of generators in the generator set to power the data center.
In some optional implementations of the present embodiment, the first determining unit 501 is further configured to: the load of a generator in the generator set is regulated through the adjustable load, and the fuel consumption of the generator is determined through a fuel flow meter in a fuel delivery pipeline of the generator in the regulation process; and determining the most economic load power of the generator in the generator set according to the load and the oil consumption in the adjusting process.
In some optional implementations of the present embodiment, the first determining unit 501 is further configured to: determining a curve of the unit-time oil consumption of a generator in the generator set along with the change of load power according to the load and the oil consumption in the adjusting process; and determining the load rate corresponding to the position with the smallest slope in the curve as the most economic load power.
In some optional implementations of the present embodiment, the first determining unit 501 is further configured to: and according to the power factor of the data center, taking a preset value as a gradient, and adjusting the load of the generator in the generator set through an adjustable load until the rated power of the generator in the generator set is reached.
In some optional implementations of the present embodiment, the second determining unit 502 is further configured to: in response to determining that the electricity demand of the data center can be satisfied based on the generator and the most economic load power in the generator set, a target number of generators in the generator set that power the data center is determined based on the most economic load power of the generators in the generator set.
In some optional implementations of the present embodiment, the second determining unit 502 is further configured to: in response to determining that the power demand of the data center cannot be met based on the generator and the most economical load power in the generator set, determining a minimum load power that the generator in the generator set needs to bear based on the power demand; determining the sub-economic load power corresponding to the position with the minimum slope in the part larger than the minimum load power in the curve; a target number of generators in the generator set to power the data center is determined based on the sub-economic load power of each generator in the generator set.
In this embodiment, a parallel operation control device for a generator is provided, and based on an adjustable load, the most economic load power of the generator in a generator set is determined, so that a target number of generators are determined to supply power to a data center according to the most economic load power, and on the basis of ensuring the power supply stability of the data center, the economy of the generator in the power supply process of the data center is improved.
According to an embodiment of the present disclosure, the present disclosure further provides an electronic device including: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor, so that the at least one processor can implement the parallel operation control method of the generator described in any embodiment when executing the instructions.
According to an embodiment of the present disclosure, there is also provided a readable storage medium storing computer instructions for enabling a computer to implement the parallel operation control method of the generator described in any of the above embodiments when executed.
The disclosed embodiments provide a computer program product which, when executed by a processor, enables a parallel operation control method of a generator described in any of the above embodiments.
Fig. 6 illustrates a schematic block diagram of an example electronic device 600 that may be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 6, the apparatus 600 includes a computing unit 601 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 602 or a computer program loaded from a storage unit 608 into a Random Access Memory (RAM) 603. In the RAM603, various programs and data required for the operation of the device 600 may also be stored. The computing unit 601, ROM 602, and RAM603 are connected to each other by a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
Various components in the device 600 are connected to the I/O interface 605, including: an input unit 606 such as a keyboard, mouse, etc.; an output unit 607 such as various types of displays, speakers, and the like; a storage unit 608, such as a magnetic disk, optical disk, or the like; and a communication unit 609 such as a network card, modem, wireless communication transceiver, etc. The communication unit 609 allows the device 600 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The computing unit 601 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 601 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 601 performs the various methods and processes described above, such as a parallel operation control method of the generator. For example, in some embodiments, the method of controlling the parallel operation of the generators may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 608. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 600 via the ROM 602 and/or the communication unit 609. When the computer program is loaded into the RAM603 and executed by the computing unit 601, one or more steps of the parallel operation control method of the generator described above may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured to perform the parallel control method of the generator in any other suitable way (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called as a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so as to solve the defects of large management difficulty and weak service expansibility in the traditional physical host and virtual special server (VPS, virtual Private Server) service; or may be a server of a distributed system or a server incorporating a blockchain.
According to the technical scheme of the embodiment of the disclosure, the parallel operation control method of the generators is provided, and the most economic load power of the generators in the generator set is determined based on the adjustable load, so that the power supply of the generators with the target number is determined according to the most economic load power to the data center, and the economy of the generators in the power supply process of the data center is improved on the basis of ensuring the power supply stability of the data center.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel, sequentially, or in a different order, provided that the desired results of the technical solutions provided by the present disclosure are achieved, and are not limited herein.
The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.
Claims (8)
1. A parallel operation control method of a generator, comprising:
determining a most economical load power of a generator in a generator set based on the adjustable load, comprising: according to the power factor of the data center, taking a preset value as a gradient, adjusting the load of a generator in the generator set through the adjustable load until the rated power of the generator in the generator set is reached, and determining the fuel consumption of the generator through a fuel flow meter in a fuel delivery pipeline of the generator in the adjusting process; determining a most economical load power of a generator in the generator set according to the load and the fuel consumption in the adjusting process;
determining a target number of generators in the generator set for supplying power to a data center according to the most economic load power;
controlling the target number of generators in the generator set to supply power for the data center;
wherein the determining, according to the most economical load power, a target number of generators in the generator set for supplying power to a data center includes:
accumulating the most economic load power corresponding to each generator in the generator set until the sum of the accumulated load powers is not less than the total load power of the data center and is closest to the total load power of the data center, and determining the target number of generators in the generator set for supplying power to the data center;
in response to determining that the electricity demand of the data center cannot be met based on the generators in the generator set and the most economic load power, determining a minimum load power that the generators in the generator set need to bear based on the electricity demand;
determining the sub-economic load power corresponding to the position with the minimum slope in a part larger than the minimum load power in a curve, wherein the curve represents the change condition of the fuel consumption of the generator in unit time along with the load power;
and determining the target number of the generators for supplying power to the data center in the generator set according to the sub-economic load power of each generator in the generator set.
2. The method of claim 1, wherein the determining the most economical load power of the generators in the genset based on the load and the fuel consumption during the adjusting comprises:
determining a curve of the change of the oil consumption per unit time of a generator in the generator set along with the load power according to the load and the oil consumption in the adjusting process;
and determining the load rate corresponding to the position with the smallest slope in the curve as the most economic load power.
3. The method of claim 1, wherein the determining a target number of generators in the genset to power a data center based on the most economic load power comprises:
in response to determining that the electricity demand of the data center can be satisfied based on the generator in the generator set and the most economic load power, determining a target number of generators in the generator set to power the data center based on the most economic load power of the generators in the generator set.
4. A parallel operation control device of a generator, comprising:
a first determination unit configured to determine a most economical load power of a generator in a generator set based on an adjustable load, comprising: according to the power factor of the data center, taking a preset value as a gradient, adjusting the load of a generator in the generator set through the adjustable load until the rated power of the generator in the generator set is reached, and determining the fuel consumption of the generator through a fuel flow meter in a fuel delivery pipeline of the generator in the adjusting process; determining a most economical load power of a generator in the generator set according to the load and the fuel consumption in the adjusting process;
a second determining unit configured to determine a target number of generators in the generator set powering a data center based on the most economic load power;
a control unit configured to control the target number of generators in the generator set to supply power to the data center;
wherein the second determining unit is further configured to:
accumulating the most economic load power corresponding to each generator in the generator set until the sum of the accumulated load powers is not less than the total load power of the data center and is closest to the total load power of the data center, and determining the target number of generators in the generator set for supplying power to the data center; in response to determining that the electricity demand of the data center cannot be met based on the generators in the generator set and the most economic load power, determining a minimum load power that the generators in the generator set need to bear based on the electricity demand; determining the sub-economic load power corresponding to the position with the minimum slope in a part larger than the minimum load power in a curve, wherein the curve represents the change condition of the fuel consumption of the generator in unit time along with the load power; and determining the target number of the generators for supplying power to the data center in the generator set according to the sub-economic load power of each generator in the generator set.
5. The apparatus of claim 4, wherein the first determination unit is further configured to:
determining a curve of the change of the oil consumption per unit time of a generator in the generator set along with the load power according to the load and the oil consumption in the adjusting process; and determining the load rate corresponding to the position with the smallest slope in the curve as the most economic load power.
6. The apparatus of claim 4, wherein the second determination unit is further configured to:
in response to determining that the electricity demand of the data center can be satisfied based on the generator in the generator set and the most economic load power, determining a target number of generators in the generator set to power the data center based on the most economic load power of the generators in the generator set.
7. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-3.
8. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-3.
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