CN115149572A - 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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- 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
Abstract
The disclosure provides a parallel operation control method and device of a generator, electronic equipment, a storage medium and a program product, and particularly relates to a parallel operation technology of the generator, which can be used in a power supply scene of a data center. The specific implementation scheme is as follows: determining the most economical load power of a generator in the generator set based on the adjustable load; determining the target number of generators for supplying power to the data center in the generator set according to the most economic load power; and controlling a target number of generators in the generator set to supply power to the data center. The power supply stability of the data center is guaranteed, and the economical efficiency of the power supply process of the power generator to the data center is improved.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a generator parallel operation technology, and in particular, to a generator parallel operation control method and apparatus, an electronic device, a storage medium, and a computer program product, which can be used in a data center power supply scenario.
Background
The data center belongs to a primary power supply load and requires 24-hour stable power supply. When the conditions of limiting power supply load in summer, power failure transformation of a superior substation and the like occur, the data center needs to start the diesel generator to bear all the load. At present, the diesel generator parallel operation control system of most data centers uses all the diesel generators to carry out parallel operation to bear the whole load of the data centers, or operation and maintenance personnel adjust the total number of the diesel generators in parallel operation during the power failure by means of self experience, so that the generators are overloaded or have serious redundancy.
Disclosure of Invention
The disclosure provides a parallel operation control method and device of a generator, an electronic device, a storage medium and a computer program product.
According to a first aspect, a parallel operation control method of a generator is provided, which includes: determining the most economical load power of a generator in the generator set based on the adjustable load; determining the target number of generators which supply power to the data center in the generator set according to the most economical load power; and controlling a target number of generators in the generator set to supply power to the data center.
According to a second aspect, there is provided a parallel operation control apparatus of a generator, including: a first determination unit configured to determine a most economical load power of a generator in the generator set based on the adjustable load; a second determination unit configured to determine a target number of generators in the generator set that supply power to the data center according to the most economical load power; a control unit configured to control a target number of generators in the generator set to supply power to 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 the 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 having stored thereon computer instructions for causing a computer to perform a method as described in any one of the implementations of the first aspect.
According to a fifth aspect, there is provided a computer program product comprising: computer program which, when being executed by a processor, carries out the method as described in any of the implementations of the first aspect.
According to the technology disclosed by the disclosure, the parallel operation control method of the generators is provided, the most economic load power of the generators in the generator set is determined based on the adjustable load, so that the generators in the target number are determined according to the most economic load power to supply 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 understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
The drawings are included to provide 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 in which one embodiment according to the present disclosure may be applied;
FIG. 2 is a flow chart of one embodiment of a parallel machine 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 a power generator according to the present embodiment;
FIG. 4 is a flow chart of yet another embodiment of a parallel control method of a generator according to the present disclosure;
FIG. 5 is a block diagram of one embodiment of a parallel operation control apparatus of a generator according to the present disclosure;
FIG. 6 is a schematic block 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 with reference to the accompanying drawings, in which various details of embodiments of the present disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those 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 collection, storage, use, processing, transmission, provision, disclosure and other processing of the personal information of the related user are all in accordance with the regulations of related laws and regulations and do not violate the good customs of the public order.
Fig. 1 illustrates an exemplary architecture 100 to which the parallel machine control method and apparatus of the generator of the present disclosure may be applied.
As shown in fig. 1, 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 topology network, and power is supplied to the data center through a parallel machine bus; network 106 is used to provide a medium for communication links between generators 101, 102, 103 and parallel control cabinet 107, between data center 104 and parallel control cabinet 107, and between adjustable load 105 and parallel control cabinet 107. 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, 103 and the adjustable load 105 through the network 106, acquires power supply information (e.g., rated power and most economical load power) of each generator, controls the generators 101, 102, 103 to be turned on and off, and determines the most economical load power of the generators based on the adjustable load 105; the parallel operation control cabinet 107 interacts with the data center 104 through the network 106 to acquire the electricity utilization information of the data center.
The parallel operation control cabinet 107 is composed of an industrial-grade calculation control unit, a signal conversion module and a human-computer interaction module. Specifically, the parallel operation control cabinet 107 acquires power supply information of each generator in the generator set, a switch state of a corresponding parallel operation output circuit breaker, load information of an adjustable load, and power consumption information of the data center through the signal conversion module; interacting with a target person (for example, an operation and maintenance person) through a human-computer interaction module to obtain related preset parameters; the most economic load power of the generators in the generator set is determined according to the adjustable load through the calculation control unit, so that the target number of the generators which supply power to the data center in the generator set is determined, and the generators with the target number are controlled to supply power to the data center. In order to ensure the working stability of the parallel operation control cabinet, an uninterrupted power supply is adopted to supply power to the parallel operation control cabinet.
It should be noted that the parallel operation control method of the generator provided by the embodiment of the present disclosure may be executed by a parallel operation control cabinet. Accordingly, each part (for example, each unit) included in the parallel operation control device of the generator may be entirely provided 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 is illustrative only. There may be any number of generators, data centers, networks, and parallel control cabinets, as desired for implementation. When the electronic device on which the parallel operation control method of the generator is operated does not need to perform data transmission with other electronic devices, the system architecture may only include the electronic device (e.g., the parallel operation control cabinet) on which the parallel operation control method of the generator is operated.
Referring to fig. 2, fig. 2 is a flowchart of a parallel operation control method of a generator according to an embodiment of the present disclosure, where the process 200 includes the following steps:
In this embodiment, an executing body (for example, the parallel operation control cabinet in fig. 1) of the parallel operation control method of the generator 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 that the mains supply is powered off. 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 is not limited herein.
The Data Center is an Internet Data Center (IDC for short), and refers to a platform with perfect equipment (including high-speed Internet access bandwidth, high-performance local area network, safe and reliable computer room environment, and the like), specialized management, and perfect application services. The internet data center performs centralized management on data such as storage, calculation, exchange and the like. On this platform basis, IDC facilitators provide customers with internet infrastructure platform services (e.g., server hosting, virtual hosting, mail caching, virtual mail, etc.) as well as various value added services (e.g., site rental 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 so as to simulate the power consumption requirement of the data center. When condition information (e.g., rated power, operating time, maintenance level) for multiple generators in a power plant is from time to time, the most economical load power for each generator may be different. At the moment, the adjustable load can be sequentially connected with each generator, the change information of the oil consumption of the generator under different load conditions along with the change of the load power is determined by adjusting the load information of the adjustable load, and then the most economical 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 a plurality of generators in the generator set is the same, the most economical load power of one of the generators can be determined as the most economical 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 of the most economical load power to a rated power of the generator.
In this embodiment, the execution subject may determine the target number of generators in the generator set that supply power to the data center according to the most economical load power.
As an example, when the most economical load powers of the generators in the generator set are the same, the execution subject may accumulate the most economical load powers of the generators until the sum of the accumulated load powers of the generators at the most economical load power 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 executing entity may determine the target most economical load power by averaging a plurality of the most economical load powers corresponding to the plurality of generators, or determine a median value of the plurality of the most economical load powers corresponding to the plurality of generators as the target most economical load power. And accumulating the power of the economic load power of each generator by taking the target most economic load power as the economic load power of each generator until the sum of the accumulated load power 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 the generators at the moment as the target number.
As yet another example, when the most economical load powers of the generators in the generator set are different, the most economical load powers corresponding to the generators in the generator set may be determined, and the most economical load powers corresponding to the generators may be 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 as to determine the number of generators at this time as the target number.
And step 203, controlling the generators with the target number in the generator set to supply power to the data center.
In this embodiment, the execution main 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 parallel operation output controller to be turned on or turned off so as to control the operation of the generator to the data center; furthermore, the execution main body can control the target number of generators in the generator set to supply power for the data center by controlling each generator in the generator set and the parallel operation output 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 power generator according to the present embodiment. In the application scenario of fig. 3, a power generating set 301, a parallel operation control cabinet 302, a data center 303, and an adjustable load 304 are included. The generator set 301 comprises generators 3011-3014 and parallel output breakers 3015-3018 corresponding to the generators. The parallel operation control cabinet 302 firstly controls the generators 3011 to 3014 in the generator set 301 to be sequentially connected with the adjustable load 304, and determines the most economical load power of the generators 3011 to 3014 in the generator set 301 by adjusting the size of the adjustable load; then, determining the target number of generators which supply power to the data center in the generator set according to the most economical load power; and finally, controlling the generators with the target number in the generator set to supply power to the data center. Specifically, the target number is 3, and the generators 3011 to 3013 are controlled to supply power to the data center by turning off parallel output breakers 3015 to 3017 corresponding to the generators 3011 to 3013.
In the embodiment, a parallel operation control method of the power generators is provided, and based on an adjustable load, the most economic load power of the power generators in the power generator set is determined, so that a target number of the power generators are determined according to the most economic load power to supply power to the data center, and the economy of the power 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 main body may execute the step 201 as follows:
firstly, the load of a generator in a 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 conveying pipeline of the generator in the adjusting process.
In the implementation mode, a high-precision oil flow meter is arranged in an oil conveying pipeline of each generator in the generator set so as to detect oil consumption information in the load adjusting process.
And secondly, 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.
As an example, the execution subject may determine a corresponding relationship between a load and an oil consumption of each generator in the generator set, and further determine the most economical load power of the generator according to the corresponding relationship between the load and the oil consumption.
In the implementation mode, the corresponding relation between the load and the oil consumption of the generator is determined based on the adjustable load and the high-precision oil mass flow meter so as to determine the most economical load power, and the accuracy of the determined most economical 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 oil consumption of a generator in a generator set along with the change of load power in unit time according to the load and the oil consumption in the adjusting process; then, the load rate corresponding to the position with the minimum slope in the curve is determined as the most economical load power.
As an example, for the obtained load and oil consumption during the adjustment, the execution body may determine a curve of the oil consumption per unit time of the generator as a function of the load power with the oil consumption on the vertical axis and the load on the horizontal axis.
In this implementation, the most economical load power is determined based on the minimum slope in the curve representing the correspondence between the load and the fuel consumption, and the accuracy of the determined most economical load power is further improved.
In some optional implementations of the present embodiment, the executing body may adjust the load of the generator in the generator set by an adjustable load by executing: and adjusting the load of the generator in the generator set by using the adjustable load according to the power factor of the data center and taking a preset numerical value as a gradient until the rated power of the generator in the generator set is reached.
The power factor characterizes the proportion information of the active power in the apparent power. The adjustable load comprises a resistive load, a capacitive load and an inductive load, active power of the generator can be adjusted by adjusting the resistive load in the adjustable load, and reactive power can be adjusted by adjusting the capacitive load and the inductive load in the adjustable load.
In the process of load adjustment, the execution main body can adjust the active power and the reactive power of the adjustable load according to the power factor of the data center all the time. The preset value can be specifically set according to actual conditions. For example, the predetermined value is 10 kilowatts.
As an example, the executing body may load the adjustable load step by step from 0 kw and every 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 numerical 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 situation of the data center is improved.
In some optional implementations of this embodiment, the executing main body may execute the step 203 by:
in response to determining that the power demand of the data center can be met based on the generators in the generator set and the most economical load power, a target number of generators in the generator set to power the data center is determined based on the most economical load power of the generators in the generator set.
As an example, when the most economical load power of the generators in the generator set is the same, the executing main body may multiply the load power corresponding to the most economical load power of the generators by the total number of the generators in the generator set to obtain the total power; furthermore, when the total power is determined to be not less than the total load power of the data center, the power utilization requirement of the data center can be met based on the generators in the generator set and the most economical load power.
As another example, when the most economical load powers of the generators in the generator set are different, the most economical load powers corresponding to the generators may be added to obtain a total power; furthermore, when the total power is determined to be not less than the total load power of the data center, the power utilization requirement of the data center can be met based on the generators in the generator set and the most economical load power.
In a case where it is determined that the power demand of the data center can be satisfied based on the most economical load power of the generators in the generator set, a target number of generators in the generator set that supply power to the data center may be determined based on the most economical load power of the generators.
In the implementation mode, the target quantity is determined according to the most economical load power under the condition that the power consumption requirement of the data center can be met based on the generator and the most economical load power in the generator set, and the accuracy and the applicability of the determination process of the target quantity are improved.
In some optional implementations of this embodiment, the executing main body may execute the step 203 by:
first, in response to determining that the power demand of the data center cannot be met based on the generators in the generator set and the most economical load power, the minimum load power that the generators in the generator set need to assume is determined based on the power demand.
In this implementation, when it is determined that the total power is less than the total load power of the data center, it is determined that the power demand of the data center cannot be satisfied based on the generators in the generator set and the most economical load power.
By way of example, when the power demand 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 at the most economical load power of the generator, and cannot meet the power demand of the data center. At this time, each generator can meet the electricity demand of the data center only by bearing load power of 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 minimum slope in the part of the curve larger than the minimum load power is determined.
With continued reference to the above example, where the minimum load power is 1000 kilowatts, the execution body determines the sub-economic load power corresponding to the position of the minimum slope in the portion of the curve greater than 1000 kilowatts.
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 execution subject may accumulate the sub-economic load powers until the sum of the accumulated 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.
As yet another example, when the curves of the generators in the generator set are different, the execution subject may determine the target sub-economic load power by averaging a plurality of sub-economic load powers corresponding to the plurality of generators, or determine a median value of the plurality of sub-economic load powers corresponding to the plurality of generators as the target sub-economic load power. And accumulating the target sub-economic load power of each generator as the load power of the generator until the sum of the accumulated target sub-economic load power 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 the generators at the moment 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 generator and the most economic load power in the generator set, the data center is supplied with power based on the sub-economic load power, and on the basis of ensuring the power supply economy, the completeness of the power supply process is improved.
With continued reference to fig. 4, there is shown a schematic flow chart 400 of yet another embodiment of a parallel operation control method of a generator according to the present disclosure, comprising the steps of:
In step 402, the fuel consumption of the generator is determined by means of a fuel flow meter in the oil line of the generator during the regulation.
And step 403, determining a curve of the change of the oil consumption of the generator in the generator set per unit time along with the load power according to the load and the oil consumption in the adjusting process.
In step 404, the load rate corresponding to the position with the minimum slope in the curve is determined as the most economical load power.
In response to determining that the power demand of the data center cannot be met based on the generators in the generator set and the most economical load power, a minimum load power that the generators in the generator set need to assume is determined based on the power demand, step 406.
In step 407, the sub-economic load power corresponding to the position with the minimum slope in the portion of the curve larger than the minimum load power is determined.
And step 409, controlling the generators with the target number 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 for the power generator in this embodiment specifically illustrates a process of determining the most economical load power and a process of determining the target number, and on the basis of ensuring the power supply stability of the data center, the economy of the power generator for the power supply process of the data center is improved.
With continuing reference to fig. 5, as an implementation of the methods shown in the above-mentioned figures, the present disclosure provides an embodiment of a parallel operation control apparatus for a generator, where the embodiment of the apparatus corresponds to the embodiment of the method 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 power generator includes: a first determining unit 501 configured to determine the most economical 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 that supply power to the data center according to the most economical load power; a control unit 503 configured to control a target number of generators in the generator set to supply power to the data center.
In some optional implementations of this embodiment, the first determining unit 501 is further configured to: the load of a generator in the generator set is adjusted through the adjustable load, and the oil consumption of the generator is determined through an oil mass flow meter in an oil conveying pipeline of the generator in the adjusting process; and determining the most economical 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 this embodiment, the first determining unit 501 is further configured to: determining a curve of the oil consumption of a generator in the generator set along with the change of the load power in unit time according to the load and the oil consumption in the adjusting process; and determining the load rate corresponding to the position with the minimum slope in the curve as the most economical load power.
In some optional implementations of this embodiment, the first determining unit 501 is further configured to: and adjusting the load of the generator in the generator set by using the adjustable load according to the power factor of the data center and taking a preset numerical value as a gradient until the rated power of the generator in the generator set is reached.
In some optional implementations of this embodiment, the second determining unit 502 is further configured to: in response to determining that the power demand of the data center can be met based on the generators in the generator set and the most economical load power, a target number of generators in the generator set to power the data center is determined based on the most economical load power of the generators in the generator set.
In some optional implementations of this 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 generators in the generator set and the most economical load power, determining a minimum load power that the generators in the generator set need to assume 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 of a generator is provided, and based on an adjustable load, the most economic load power of the generators in a generator set is determined, so that a target number of generators is determined according to the most economic load power to supply power to a data center, and on the basis of ensuring the power supply stability of the data center, the economy of the generators in a power supply process of the data center is improved.
According to an embodiment of the present disclosure, the present disclosure also provides an electronic device including: 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, and the instructions are executed by the at least one processor, so that the at least one processor can realize the parallel operation control method of the generator described in any of the above embodiments 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 embodiments of the present disclosure provide a computer program product, which when executed by a processor can implement the parallel machine control method of the generator described in any of the embodiments above.
FIG. 6 illustrates a schematic block diagram of an example electronic device 600 that can 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 phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples 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, which 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 can also be stored. The calculation unit 601, the ROM 602, and the RAM603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
A number of components in the device 600 are connected to the I/O interface 605, including: an input unit 606 such as a keyboard, a mouse, or the like; 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 the computing unit 601 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The calculation unit 601 executes the respective methods and processes described above, such as the parallel operation control method of the generator. For example, in some embodiments, the parallel machine control method of the generator may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as 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 by any other suitable means (e.g. by means of firmware) to perform a parallel control method of the generators.
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a 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 that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the 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/acts specified in the flowchart and/or block diagram to be performed. 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. A 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 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 a pointing device (e.g., a mouse or a trackball) by which a user may 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 can 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, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end 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 back-end, 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 clients and servers. A client and server are generally 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 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 existing in the traditional physical host and Virtual Private Server (VPS) service; it may also 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 generator is provided, based on the adjustable load, the most economic load power of the generator in the generator set is determined, so that the target number of generators are determined according to the most economic load power to supply power to the data center, and the economy of the generator to 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 understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in this disclosure may be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions provided by this disclosure can be achieved, and are not limited herein.
The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.
Claims (15)
1. A parallel operation control method of a generator comprises the following steps:
determining the 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 a data center according to the most economical load power;
and controlling the generators with the target number in the generator set to supply power to the data center.
2. The method of claim 1, wherein the determining a most economical load power of a generator in a generator set based on an adjustable load comprises:
adjusting the load of a generator in the generator set through the adjustable load, and determining the oil consumption of the generator through an oil mass flow meter in an oil pipeline of the generator in the adjusting process;
and determining the most economical load power of the generator in the generator set according to the load and the oil consumption in the adjusting process.
3. The method of claim 2, wherein said determining a most economical load power of a generator in the power generating unit based on the load and the fuel consumption during the regulating comprises:
determining a curve of the oil consumption of a generator in the generator set along with the change of load power in unit time according to the load and the oil consumption in the adjusting process;
and determining the load rate corresponding to the position with the minimum slope in the curve as the most economic load power.
4. The method of claim 2, wherein said adjusting a load of a generator in said generator set by said adjustable load comprises:
and adjusting the load of the generator in the generator set through the adjustable load by taking a preset numerical value as a gradient according to the power factor of the data center until the rated power of the generator in the generator set is reached.
5. The method of claim 1, wherein said determining a target number of generators in the generator set to power a data center based on the most economical load power comprises:
in response to determining that the power demand of the data center can be met based on the generators in the generator set and the most economical load power, determining a target number of generators in the generator set to power the data center based on the most economical load power of the generators in the generator set.
6. The method of claim 2 or 5, wherein said determining a target number of generators in the generator set powering a data center from the most economical load power comprises:
in response to determining that the power demand of the data center cannot be met based on the generators in the generator set and the most economical load power, determining a minimum load power that the generators in the generator set need to assume 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, of the curve;
determining a target number of generators in the generator set to power a data center based on the sub-economic load power of each generator in the generator set.
7. A parallel operation control apparatus of a generator, comprising:
a first determining unit configured to determine the most economical load power of the generators in the generator set based on the adjustable load;
a second determination unit configured to determine a target number of generators in the generator set that power a data center based on the most economical load power;
a control unit configured to control the target number of generators in the generator set to supply power to the data center.
8. The apparatus of claim 7, wherein the first determining unit is further configured to:
adjusting the load of a generator in the generator set through the adjustable load, and determining the oil consumption of the generator through an oil mass flow meter in an oil pipeline of the generator in the adjusting process; and determining the most economical load power of the generator in the generator set according to the load and the oil consumption in the adjusting process.
9. The apparatus of claim 8, wherein the first determining unit is further configured to:
determining a curve of the oil consumption of a generator in the generator set along with the change of load power in unit time according to the load and the oil consumption in the adjusting process; and determining the load rate corresponding to the position with the minimum slope in the curve as the most economical load power.
10. The apparatus of claim 8, wherein the first determining unit is further configured to:
and adjusting the load of the generator in the generator set through the adjustable load by taking a preset numerical value as a gradient according to the power factor of the data center until the rated power of the generator in the generator set is reached.
11. The apparatus of claim 7, wherein the second determining unit is further configured to:
in response to determining that the power demand of the data center can be met based on the generators in the generator set and the most economical load power, determining a target number of generators in the generator set to power the data center based on the most economical load power of the generators in the generator set.
12. The apparatus of claim 8 or 11, wherein the second determining unit is further configured to:
in response to determining that the power demand of the data center cannot be met based on the generators in the generator set and the most economical load power, determining a minimum load power that the generators in the generator set need to assume 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, of the curve; determining a target number of generators in the generator set to power a data center based on the sub-economic load power of each generator in the generator set.
13. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
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 1-6.
14. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-6.
15. A computer program product, comprising: computer program which, when being executed by a processor, carries out the method according to any one of claims 1-6.
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