CN111126786B - Method and device for scheduling equipment and server - Google Patents
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Abstract
The application belongs to the technical field of power grid dispatching, and relates to a method for dispatching equipment, which comprises the following steps: acquiring equipment operation records and the total load reduction amount sent by a main control platform; and scheduling the working modes of the alternative equipment according to the equipment operation record and the load reduction total amount. The method can schedule the working modes of the alternative equipment according to the equipment operation record and the total load reduction amount, so that the unified scheduling of a large number of air conditioners on the household appliance cloud platform is realized under the condition that the user body feeling is not changed as much as possible, and the effects of reducing the overall power and keeping stable for a period of time are achieved. The application also discloses a device for dispatching the equipment and a server.
Description
Technical Field
The application relates to the technical field of power grid dispatching, in particular to a method and a device for equipment dispatching and a server.
Background
In summer each year, the usage amount of air conditioner is increased, and the load of the whole power grid is obviously increased. In order to cope with peak load in the period of summer each year, the national power grid is out of the counter to the policy of power demand side response, and it is expected that the requirements on power generation facilities are reduced in a peak clipping manner through technical means, unnecessary investment is avoided, and finally the reduction of power generation cost is realized. The home air conditioner on the intelligent home appliance platform has scattered home areas and different use habits of all users, and the unified scheduling of the devices is needed to be integrated, so that the problem which needs to be solved is solved.
In the process of implementing the embodiments of the present disclosure, it is found that at least the following problems exist in the related art:
1. because of the inconsistent time that users use air conditioning and other devices, the power demand side management system cannot determine which users can participate in peak shaving on the day.
2. Because the operation parameters of each air conditioner are different, the operation power of all running air conditioners in a platform can not be reduced as a whole at the time point specified by the power demand side management system.
3. The overall power reduction cannot be achieved and remains stationary for the time period required by the task.
Disclosure of Invention
The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. The summary is not an extensive overview, and is intended to neither identify key/critical elements nor delineate the scope of such embodiments, but is intended as a prelude to the more detailed description that follows.
The embodiment of the disclosure provides a method, a device and a server for equipment scheduling, which are used for solving the technical problem that the prior art cannot uniformly schedule a large number of air conditioners on a household appliance cloud platform.
In some embodiments, the method comprises: acquiring equipment operation records and the total load reduction amount sent by a main control platform; and scheduling the working modes of the alternative equipment according to the equipment operation record and the load reduction total amount.
In some embodiments, the apparatus comprises: a processor and a memory storing program instructions, the processor being configured to perform the above-described method for device scheduling when executing the program instructions
In some embodiments, the server comprises: the above-described apparatus for device scheduling.
The method, the device and the server for equipment scheduling provided by the embodiment of the disclosure can realize the following technical effects: the working modes of the alternative equipment can be scheduled according to the equipment operation record and the total load reduction amount, so that a large number of air conditioners on the household appliance cloud platform are uniformly scheduled under the condition that the user body feeling is not changed as much as possible, and the effects of reducing the overall power and keeping stability for a period of time are achieved.
The foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the application.
Drawings
One or more embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings, in which like references indicate similar elements, and in which like reference numerals refer to similar elements, and in which:
FIG. 1 is a flow chart of a method for device scheduling provided by an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of an apparatus for device scheduling according to an embodiment of the present disclosure.
Detailed Description
So that the manner in which the features and techniques of the disclosed embodiments can be understood in more detail, a more particular description of the embodiments of the disclosure, briefly summarized below, may be had by reference to the appended drawings, which are not intended to be limiting of the embodiments of the disclosure. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may still be practiced without these details. In other instances, well-known structures and devices may be shown simplified in order to simplify the drawing.
And the user participates in a power demand side response mode, and the high-power electric equipment such as an air conditioner in the cloud platform is uniformly scheduled by the aggregator.
The aggregator system mainly comprises: the system comprises a subscription management unit, a task management unit, a device management unit, a dispatching center unit and a monitoring center unit.
The subscription management unit is configured to authorize an aggregator to control high-power electric equipment such as designated air conditioners, water heaters and the like as required during scheduling activities by signing an authorization protocol with a user on line; the user is given all authorization to the aggregator by releasing the exit scheduling activity online with the user.
A task management unit configured to receive a peak shaver task offer transmitted by a power demand side management (Demand Side Management, DSM) system; responding to the task offer by combining the equipment condition of the contracted user; and receiving task confirmation information of the power demand side management system.
The device management unit is configured to bring the device under the user name which is successfully signed into the management range of the system; all devices under the successful user name of the solution are moved out of the management range of the system; and adjusting whether the equipment under the name of the subscriber is in the management range of the system according to the configuration of the subscriber.
A scheduling center unit configured to schedule tasks according to the task confirmation information; after the dispatching task is started, the operation parameters of all the devices in the controllable range are dynamically adjusted periodically to meet the load reduction index specified by the dispatching task; in the process of scheduling task execution, responding to the equipment operation behavior of a user, and dynamically adjusting task execution variables; and after the scheduled task is finished, the operation parameters of the equipment are restored to the configuration before the scheduled task is started.
The monitoring center unit is configured to schedule the overall running state of the front, middle and rear real-time monitoring devices in the task execution process; based on the historical use data of the user equipment and the scheduling log considered by the participating scheduling, the characteristic variables of each user and each equipment are dynamically adjusted and used as the input of the subsequent task scheduling.
An embodiment of the present disclosure provides a method for device scheduling, as shown in fig. 1, including:
s101, acquiring equipment operation records and the total load reduction amount sent by a main control platform;
and S102, scheduling the working modes of the alternative equipment according to the equipment operation record and the total load reduction amount.
In some embodiments, according to the fact that the master control platform, i.e. the power demand side management system, sends out the scheduling task confirmation information, the scheduling task starts to be executed, and the operation is performed in a scheduling period with a time length t being one scheduling period in each scheduling task period, where t > 0, for example, t is 5 minutes, i.e. the operation mode of the alternative device is scheduled once every 5 minutes. Optionally, the power demand side management system sends out a scheduling task confirmation message, and the aggregator needs to execute the scheduling task at 19:00 to 20:00, and then takes one scheduling period every 5 minutes during the scheduling task at 19:00 to 20:00.
In some embodiments, in each scheduling period, an operation instruction for scheduling the working mode of the candidate device is sent to the corresponding device through the cloud platform.
In some embodiments, scheduling the operating mode of the device according to the device operational record and the aggregate amount of load shedding includes:
obtaining a total set of devices to be scheduled in a next scheduling period according to the device operation record;
and scheduling the working modes of the alternative equipment.
In some embodiments, the operational record of the device includes: the method can allocate the duration of participating in load reduction, the duration of participating in load reduction and the record of equipment behavior events through a cloud platform, for example, newly started equipment is incorporated into equipment to be scheduled; the equipment which is shut down is removed from the equipment to be scheduled; the user manually adjusts the device parameters, removes the device from the device to be scheduled, etc.
In some embodiments, by calculating: k epsilon (O-D) U S obtains the total set of the equipment to be scheduled in the next scheduling period;
wherein, the set O is the equipment which participates in the task scheduling in the previous scheduling period; the set D is equipment which participates in an over-dispatching task in the last dispatching cycle but is shut down in the running process; the set S is a device that did not participate in the scheduled task in the last scheduling period, but was powered on in the last scheduling period.
In some embodiments, the total set of devices to be scheduled K is ordered from large to small according to the weight parameters of each device, optionally with the set (O-D) being ranked before and the set S being ranked after.
Selecting the first N' alternative devices from the total set of the devices to be scheduled, wherein the difference value between the sum of the load reduction amounts of the alternative devices and the total load reduction amount is in a set range, namely
Wherein i is E A, A is the equipment to be scheduled which is screened according to the regional condition, K is E A; p'. i The device i drops the load for the next scheduling period,is the sum of the load reduction amounts of the alternative devices, P approved The total load reduction amount sent by the main control platform epsilon is a set fluctuation threshold value, namely a fluctuation value acceptable by a power grid demand side management system.
In some embodiments, if candidate device N 'does not drain set K, the remaining devices to be scheduled in set K are set K'. The equipment in the set K' is in an air supply state when the next dispatching cycle is started, and the air supply state is maintained; if the next scheduling period is in a refrigerating state when being started, selecting one device from the alternative devices N 'according to a scheduling rule, and switching the device into an air supply mode so as to balance the power improvement brought by the devices in the K'.
Repeating the steps until all the devices in the set K are completely consumed. Or stopping selecting if the difference between the sum of the load reduction amounts of the candidate devices and the total load reduction amount exceeds a fluctuation threshold, and considering the rest devices to be scheduled as not participating in scheduling at the moment.
The change to the fast response device during the scheduled task is achieved by recalculating the total set K of expected scheduled devices and the candidate device N' for the next scheduling cycle at the beginning of each scheduling cycle. And the power change value is within the set fluctuation threshold by adjusting the proportion occupied by the refrigeration state equipment and the air supply state equipment respectively and according to the load reduction power of each equipment, so that the overall load reduction power of the next scheduling period is compared with the overall load reduction power of the previous scheduling period.
In some embodiments, scheduling the operating mode of the alternative device includes:
and one or more of maintaining the alternative equipment in the state of the last scheduling period, switching the alternative equipment from the air supply mode to the refrigeration mode and switching the alternative equipment from the refrigeration mode to the air supply mode. And switching part of equipment into a refrigerating state and the other equipment into an air supply state so as to realize the reduction of the overall operation power during the task scheduling.
In some embodiments, if the device has continuously supplied air for Y cycles, e.g., 3 cycles, then the next scheduling cycle is adjusted to cool; if Z cycles, for example 3 cycles, have been continuously cooled, then the next scheduling cycle is adjusted to supply air; otherwise, maintaining the state of the previous scheduling period; in some embodiments, the first state of the device entering the scheduled task is preferentially selected to be in the state of the device before entering the scheduled task, for example, the device is in a refrigeration state before entering the scheduled task, and then the first scheduling period entering the scheduled task is in the refrigeration state, and Y, Z is a positive integer.
In some embodiments, in order to balance the effect of the last scheduling period on the overall power, the air supply state is allowed to continuously execute Y-1 or Y+1 cycles, and the refrigeration state is allowed to continuously execute Z-1 or Z+1 cycles, while the equipment which is shut down during operation and the last scheduling period do not participate in the scheduling task, but the equipment which is started up during the last scheduling period has an effect on the overall power.
The method for scheduling devices provided by the embodiment can dynamically schedule the operation of all devices and quickly respond to the state change of the devices, so that the overall power is reduced and is kept fluctuating in a smaller range, and the effect that the overall load of an aggregator is reduced and a low level is maintained for a period of time is realized.
In some embodiments, the aggregate load reduction is obtained from device reliability.
In some embodiments, before the scheduled task begins, the DSM system pushes to the aggregator system scheduling task offer information including the amount of load drop that the DSM system expects the aggregator system to be able to complete, i.e., the amount of load drop of the offer. And after receiving the offer information, the aggregator system calculates the load reduction amount of the total set of the equipment to be scheduled according to the equipment reliability in the equipment file. And feeding back the calculated load reduction amount of the total set of the equipment to be scheduled to the DSM system to finish load reduction. Optionally, if the reliability index of one device is low, the device cannot be selected to participate in a more urgent task; one device is often not powered on during the scheduled task period, nor is it selected to participate in the present schedule.
In some embodiments, the DSM system pushed scheduling task offer information further comprises: the task time period is scheduled. And the aggregator system obtains the load reduction amount of the total set of the scheduling devices according to the reliability of each device in the scheduling task time period.
In some embodiments, weight parameters of the devices are obtained according to the device reliability, the weight parameters of the devices are ordered from large to small, and the first N devices are taken as a total set of devices to be scheduled. When the load of the total set of the equipment to be scheduled is reducedThe load-reducing amount of the offer is greater than or equal to, i.e. +.>The reduced load quantity of the offer is used as the completed reduced load quantity to feed back to the DSM system; when the aggregate quotient system calculates that the load reduction amount of the total set of the equipment to be scheduled is smaller than the load reduction amount of the offer, the load reduction amount of the total set of the equipment to be scheduled is +.>Feedback to the DSM system is provided as the amount of load drop that can be accomplished.
In some embodiments, the confidence evaluation is performed on the result calculated by the aggregator system according to the boot rule of the device.
Wherein P is req For the reduced load of the offer, P i And i and N are positive integers for the load reduction amount of the ith device.
In some embodiments, after receiving the load reduction amount that can be completed and fed back by the aggregator system, the DSM system sends a total load reduction amount to the aggregator system according to the load reduction amount that can be completed and fed back by the aggregator system, and optionally, the total load reduction amount is less than or equal to the load reduction amount that can be completed and fed back by the aggregator system.
In some embodiments, obtaining the aggregate load reduction from the device reliability includes:
obtaining equipment weight parameters according to equipment reliability;
obtaining weight parameters through a conversion function; the transfer function is:
and obtaining the weight parameters of the equipment i in the same time period through the conversion function according to the reliability of the equipment i in the same time period.
By calculation: w (W) i (s,e) ＝f r [R i (T s ,T e )]Obtaining a weight parameter of the ith equipment in the same time period;
wherein f r [R i (T s ,T e )]Conversion function of reliability of ith device in same period, W i (s,e) For the weight parameters of device i in the same period,T s for the start time of the schedule, T e Is the scheduled end time.
Optionally, if the reliability of device i at 19:00 to 20:00 is 5, the weight parameter of device i at 19:00 to 20:00 is 0; if the reliability of device i at 19:00 to 20:00 is 8, the weight parameter of device i at 19:00 to 20:00 is 5.
In some embodiments, the weight parameters of the devices are ordered from big to small, and the first N devices are selected to obtain the total load reduction amount
Wherein P is i And i and N are positive integers for the load reduction amount of the ith device.
In some embodiments, device reliability is obtained from a device operational record.
In some embodiments, the device operational record includes: the number of times the device participates in the schedule and the number of times the device exits the schedule.
In some embodiments, the running record of the equipment of the household appliance cloud platform and the scheduled running times of the equipment are recorded in real time, and the running record is calculated and updated once a day. Optionally, devices that frequently participate in the scheduled task, whose engagement scores are higher, are more likely to be selected as the primary participating device; the reliability score of the device operating parameters, which are manually intervened halfway after frequent participation in the activity, is low, and the device operating parameters are not selected as the main device for participating in the scheduling task later, but can be temporarily selected for stabilizing the overall load level in emergency situations.
In some embodiments, the aggregate load shedding is affected according to the probability that the device is powered on during the scheduled task offer period.
In some embodiments, obtaining device reliability from a device operational record includes:
an evaluation date interval is selected, optionally, the time that has elapsed since 1 month of yesterday is selected as the evaluation date interval. The reliability of each device over the same time period per day is calculated, optionally with one time period per hour.
By calculation:obtaining equipment reliability;
wherein C is i (T s ,T e ) For the number of times the ith device participates in scheduling in the same period during the evaluation period, Q i (T s ,T e ) For the number of times the ith device exits the schedule for the same period during the evaluation period, R i (T s ,T e ) For the reliability of the ith equipment in the same period, i is a positive integer, R i (T s ,T e )∈[1，10]，C i Is a positive integer, Q i Is a non-negative integer, T s For the start time of the schedule, T e For the scheduled end time, T s ∈[0,23]，T e ∈[0,23]，T s ＜T e 。
Alternatively T s 19:00, T e For 20:00, device i takes part in the scheduling task for a period of 19:00 to 20:00 for 1 month, i.e. 30 days, of the evaluation period, 10 days, then C i (19:00, 20:00) 10 times, wherein the scheduled task is exited in the middle of the period of 19:00 to 20:00 for 5 days, then Q i (19:00, 20:00) is 5 times, then the reliability R of device i over a period of 19:00 to 20:00 i (19:00, 20:00) is 5.
The method for scheduling the equipment provided by the embodiment can realize the dynamic scheduling of the equipment, and can process the problem of load reduction fluctuation caused by the online and offline of the equipment in real time; and according to the historical operation record of the equipment, the probability of the equipment participating in the scheduling task is obtained, so that the aggregator can obtain the equipment participation capability more accurately, and the aggregator can evaluate the load reduction total load of the equipment to be scheduled more accurately before the next scheduling task starts.
An embodiment of the present disclosure provides an apparatus for device scheduling, with a structure shown in fig. 2, including: a processor (processor) 100 and a memory (memory) 101 storing program instructions may also include a communication interface (Communication Interface) 102 and a bus 103. The processor 100, the communication interface 102, and the memory 101 may communicate with each other via the bus 103. The communication interface 102 may be used for information transfer. Processor 100 may call program instructions in memory 101 to perform the methods for device scheduling of the above-described embodiments.
Further, the logic instructions in the memory 101 described above may be implemented in the form of software functional units and may be stored in a computer readable storage medium when sold or used as a stand alone product.
The memory 101 is a computer readable storage medium that can be used to store a software program, a computer executable program, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 100 executes functional applications and data processing by running software programs, instructions and modules stored in the memory 101, i.e. implements the method for device scheduling in the above-described method embodiments.
The memory 101 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for a function; the storage data area may store data created according to the use of the terminal device, etc. Further, the memory 101 may include a high-speed random access memory, and may also include a nonvolatile memory.
According to the device for equipment scheduling in the embodiment, as can be known, the device for equipment scheduling in the embodiment of the present disclosure can schedule the working modes of the alternative equipment according to the equipment operation record and the total load reduction amount, so that uniform scheduling of a large number of air conditioners on the cloud platform of the household appliance is achieved without changing the sense of body of the user as much as possible, and the effect of reducing the overall power and keeping stable for a period of time is achieved.
The embodiment of the disclosure provides a server, which comprises the device for equipment scheduling. The server can schedule the working modes of the alternative equipment according to the equipment operation record and the total load reduction amount, so that a large number of air conditioners on the household appliance cloud platform can be uniformly scheduled under the condition that the user body feeling is not changed as much as possible, and the effects of reducing the overall power and keeping stability for a period of time are achieved.
Embodiments of the present disclosure provide a computer readable storage medium storing computer executable instructions configured to perform the above-described method for device scheduling.
The disclosed embodiments provide a computer program product comprising a computer program stored on a computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the above-described method for device scheduling.
The computer readable storage medium may be a transitory computer readable storage medium or a non-transitory computer readable storage medium.
The aspects of the disclosed embodiments may be embodied in a software product stored on a storage medium, including one or more instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of the disclosed embodiments. And the aforementioned storage medium may be a non-transitory storage medium including: a plurality of media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or a transitory storage medium.
The above description and the drawings illustrate embodiments of the disclosure sufficiently to enable those skilled in the art to practice them. Other embodiments may involve structural, logical, electrical, process, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in, or substituted for, those of others. The scope of the embodiments of the present disclosure encompasses the full ambit of the claims, as well as all available equivalents of the claims. When used in the present application, although the terms "first," "second," etc. may be used in the present application to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without changing the meaning of the description, so long as all occurrences of the "first element" are renamed consistently and all occurrences of the "second element" are renamed consistently. The first element and the second element are both elements, but may not be the same element. Moreover, the terminology used in the present application is for the purpose of describing embodiments only and is not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a," "an," and "the" (the) are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this disclosure is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, when used in the present disclosure, the terms "comprises," "comprising," and/or variations thereof, mean that the recited features, integers, steps, operations, elements, and/or components are present, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Without further limitation, an element defined by the phrase "comprising one …" does not exclude the presence of other like elements in a process, method or apparatus comprising such elements. In this context, each embodiment may be described with emphasis on the differences from the other embodiments, and the same similar parts between the various embodiments may be referred to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method sections disclosed in the embodiments, the description of the method sections may be referred to for relevance.
Those of skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. The skilled person may use different methods for each particular application to achieve the described functionality, but such implementation should not be considered to be beyond the scope of the embodiments of the present disclosure. It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not described herein again.
In the embodiments disclosed herein, the disclosed methods, articles of manufacture (including but not limited to devices, apparatuses, etc.) may be practiced in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements may be merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form. The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to implement the present embodiment. In addition, each functional unit in the embodiments of the present disclosure may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. In the description corresponding to the flowcharts and block diagrams in the figures, operations or steps corresponding to different blocks may also occur in different orders than that disclosed in the description, and sometimes no specific order exists between different operations or steps. For example, two consecutive operations or steps may actually be performed substantially in parallel, they may sometimes be performed in reverse order, which may be dependent on the functions involved. Each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Claims (9)
1. A method for device scheduling, comprising:
acquiring equipment operation records and the total load reduction amount sent by a main control platform;
scheduling the working modes of the alternative equipment according to the equipment operation record and the load reduction total amount;
scheduling the working mode of the equipment according to the equipment operation record and the load reduction total amount, wherein the scheduling comprises the following steps:
obtaining a total set of equipment to be scheduled in a next scheduling period according to the equipment operation record; the method comprises the steps of taking a time length t as a scheduling period in each task scheduling period;
selecting alternative equipment from the total set of equipment to be scheduled, wherein the difference value between the sum of the load reduction amounts of the alternative equipment and the total load reduction amount is within a set range; when each scheduling period starts, recalculating the total set of the devices to be scheduled and the alternative devices in the next scheduling period;
scheduling the working mode of the alternative equipment;
obtaining a total set of devices to be scheduled in a next scheduling period according to the device operation record, wherein the method comprises the following steps: by calculation: k epsilon (O-D) U S obtains the total set of the equipment to be scheduled in the next scheduling period; wherein, the set O is the equipment which participates in the task scheduling in the previous scheduling period; the set D is equipment which participates in an over-dispatching task in the last dispatching cycle but is shut down in the running process; the set S is a device that did not participate in the scheduled task in the last scheduling period, but was powered on in the last scheduling period.
2. The method of claim 1, wherein scheduling the operational mode of the alternative device comprises:
and maintaining the alternative equipment in the state of the last scheduling period, switching the alternative equipment from an air supply mode to a refrigeration mode, and switching the alternative equipment from the refrigeration mode to the air supply mode.
3. The method according to claim 2, characterized in that the total amount of load shedding is obtained from the equipment reliability.
4. A method according to claim 3, wherein obtaining the total load reduction based on the device reliability comprises:
obtaining equipment weight parameters according to equipment reliability;
sorting the equipment weight parameters from large to small, and selecting the first N pieces of equipment to obtain the total load reduction amount
Wherein P is i A load reduction amount for the i-th device; i. n is a positive integer.
5. The method of claim 4, wherein the device reliability is obtained from the device operational record.
6. The method of claim 5, wherein the device operational record comprises: the number of times the device participates in the schedule and the number of times the device exits the schedule.
7. The method of claim 6, wherein obtaining the device reliability from the device operational record comprises:
by calculation:obtaining the reliability of the equipment;
wherein C is i (T s ,T e ) For the number of times the ith device participates in scheduling in the same period during the evaluation period, Q i (T s ,T e ) For the number of times the ith device exits the schedule for the same period during the evaluation period, R i (T s ,T e ) For the reliability of the ith equipment in the same period, i is a positive integer, R i ∈[1，10]，C i Is a positive integer, Q i Is a non-negative integer, T s For the start time of the schedule, T e Is the scheduled end time.
8. An apparatus for device scheduling, comprising: a processor and a memory storing program instructions, wherein the processor is configured to perform the method for device scheduling of any one of claims 1 to 7 when executing the program instructions.
9. A server comprising the apparatus for device scheduling of claim 8.
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