CN116151807A - Method and device for determining overhauling of generator set and electronic equipment - Google Patents

Method and device for determining overhauling of generator set and electronic equipment Download PDF

Info

Publication number
CN116151807A
CN116151807A CN202310414396.3A CN202310414396A CN116151807A CN 116151807 A CN116151807 A CN 116151807A CN 202310414396 A CN202310414396 A CN 202310414396A CN 116151807 A CN116151807 A CN 116151807A
Authority
CN
China
Prior art keywords
overhaul
thermal power
capacity
hydropower
capacities
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202310414396.3A
Other languages
Chinese (zh)
Other versions
CN116151807B (en
Inventor
禤培正
王清玲
朱继松
杜育斌
程兰芬
谭喆
苏祥瑞
刘祥
唐翀
刘上嘉
谭涛亮
叶建东
冯开达
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China South Power Grid International Co ltd
Yangjiang Power Supply Bureau of Guangdong Power Grid Co Ltd
Original Assignee
China South Power Grid International Co ltd
Yangjiang Power Supply Bureau of Guangdong Power Grid Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China South Power Grid International Co ltd, Yangjiang Power Supply Bureau of Guangdong Power Grid Co Ltd filed Critical China South Power Grid International Co ltd
Priority to CN202310414396.3A priority Critical patent/CN116151807B/en
Publication of CN116151807A publication Critical patent/CN116151807A/en
Application granted granted Critical
Publication of CN116151807B publication Critical patent/CN116151807B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06313—Resource planning in a project environment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/04—Constraint-based CAD
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/06—Multi-objective optimisation, e.g. Pareto optimisation using simulated annealing [SA], ant colony algorithms or genetic algorithms [GA]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Strategic Management (AREA)
  • General Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Health & Medical Sciences (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Development Economics (AREA)
  • Educational Administration (AREA)
  • Game Theory and Decision Science (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application provides a method and a device for determining overhaul of a generator set and electronic equipment, wherein the method comprises the following steps: acquiring a plurality of hydropower overhaul capacities, wherein each hydropower overhaul capacity is the overhaul capacity of a hydropower unit corresponding to each month; determining a plurality of thermal power overhaul capacities according to all the hydroelectric overhaul capacities; and constructing an overhaul plan optimization model, and determining an overhaul plan result according to all hydroelectric overhaul capacities and all thermal power overhaul capacities by adopting the overhaul plan optimization model. The method comprises the steps of firstly independently maintaining the water and electricity and the thermal power, finally constructing a maintenance plan optimization model, adopting the maintenance plan optimization model, and determining maintenance plan results according to all the water and electricity maintenance capacities and all the thermal power maintenance capacities.

Description

Method and device for determining overhauling of generator set and electronic equipment
Technical Field
The application relates to the technical field of generator set overhaul, in particular to an overhaul determination method and device for a generator set, a computer readable storage medium and electronic equipment.
Background
In order to ensure the balance of annual power supply and demand, a power grid dispatching mechanism needs to compile a maintenance plan of a generator set in the second year at the end of each year according to the power consumption condition and the primary energy condition, and a scientific and reasonable unit maintenance plan is a guarantee of safe and economic operation of a power grid.
At present, a power grid dispatching mechanism mainly compiles a power generator set maintenance plan according to manual experience, and the method is simple, but can cause insufficient power supply in a local period, so that the risk of switching off the grid is faced, and especially, along with the gradual increase of the installed capacity of new energy, a compiling method based on manual experience is not applicable any more.
In the prior art, a unit overhaul plan optimization method based on an optimization theory is provided, the overhaul state of each unit in each period is set to be 0-1 variable, a mathematical optimization model is established by taking equal reserve rate as an optimization target, and a generator unit overhaul plan is obtained by solving the model. Although the optimal maintenance plan meeting the operation constraint can be obtained theoretically, the model contains a large number of 0-1 variables due to the large number of generator sets of a large power grid, so that the model is difficult to converge.
Aiming at the problem that the existing scheme has low determination efficiency on the maintenance schedule of the generator set, a maintenance determination method of the generator set is needed.
Disclosure of Invention
The main object of the present application is to provide a method, an apparatus, a computer readable storage medium and an electronic device for determining maintenance of a generator set, so as to at least solve the problem of low efficiency in determining a maintenance plan of the generator set in the existing scheme.
To achieve the above object, according to one aspect of the present application, there is provided a service determining method of a generator set, the method including: acquiring a plurality of hydropower overhaul capacities, wherein each hydropower overhaul capacity is the overhaul capacity of a hydropower unit corresponding to each month, and the overhaul capacity of the hydropower unit is used for representing the electric quantity for overhaul of the hydropower unit; determining a plurality of thermal power overhaul capacities according to all the hydropower overhaul capacities, wherein the hydropower overhaul capacities and the thermal power overhaul capacities are in one-to-one correspondence, each thermal power overhaul capacity is the overhaul capacity of a thermal power unit corresponding to each month, and the overhaul capacity of the thermal power unit is used for representing the electric quantity for overhaul of the thermal power unit; constructing an overhaul plan optimization model, and determining an overhaul plan result according to all hydroelectric overhaul capacities and all thermal power overhaul capacities by adopting the overhaul plan optimization model, wherein the overhaul plan result comprises the state of each hydroelectric generating set and the state of each thermal power generating set, the state of the hydroelectric generating set is an overhaul state or a delivery state, the state of the thermal power generating set is the overhaul state or the delivery state, the overhaul plan optimization model is trained by using a plurality of sets of historical generating set data, and each set of historical generating set data in the plurality of sets of historical generating set data comprises data acquired in a historical time period: the hydroelectric generating set comprises a hydroelectric generating set, a thermal power generating set, a hydroelectric generating set, a thermal power generating set, a hydroelectric generating set state and a thermal generating set state.
Optionally, obtaining a plurality of hydropower overhaul capacities includes: acquiring a plurality of total water and electricity water inflow and total hydropower assembly machine capacity, wherein the total water and electricity water inflow is used for representing the total water inflow of the hydropower unit, and the total hydropower assembly machine capacity is used for representing the total electric quantity required by the working and maintenance of all the hydropower units; determining total annual maintenance capacity of a plurality of hydropower stations according to the total hydropower station installed capacity, wherein the total annual maintenance capacity of the hydropower stations is used for representing electric quantity for the hydropower station unit to maintain within one year; and determining the hydropower overhaul capacity corresponding to each month according to the total hydropower water inflow corresponding to each month and the total annual overhaul capacity of all hydropower water.
Optionally, determining the hydropower overhaul capacity corresponding to each month according to the total hydropower inflow corresponding to each month and the total annual overhaul capacity of all the hydropower, including:
according to
Figure SMS_1
Determining the hydropower overhaul capacity corresponding to each month, wherein,
Figure SMS_2
for the hydropower overhaul capacity of the h hydropower unit in month m +.>
Figure SMS_3
For the total water supply of said hydropower in month m,>
Figure SMS_4
and the total annual maintenance capacity of the hydropower station is the h hydropower station.
Optionally, determining a plurality of thermal power overhaul capacities according to all the hydroelectric overhaul capacities includes: determining a plurality of thermal power capacity demand values according to all the hydroelectric overhaul capacities; acquiring total annual overhaul capacity of a plurality of thermal power plants, wherein the total annual overhaul capacity of the thermal power plants is used for representing electric quantity of overhaul of the thermal power plants in one year; and determining the thermal power overhaul capacity corresponding to each month according to the thermal power capacity requirement value corresponding to each month and the total annual overhaul capacity of all the thermal power.
Optionally, determining a plurality of thermal power capacity demand values according to all the hydropower overhaul capacities includes:
according to
Figure SMS_5
Determining a plurality of thermal power capacity demand values, wherein,
Figure SMS_6
for the thermal power capacity demand of the c-th thermal power plant at the m-th month,/->
Figure SMS_7
For maximum load forecast value of month m, < >>
Figure SMS_8
For the installed capacity of the h-th hydroelectric generating set, < >>
Figure SMS_9
The hydropower overhaul capacity of the h hydropower unit in the m month;
and/or the number of the groups of groups,
determining the thermal power overhaul capacity corresponding to each month according to the thermal power capacity requirement value corresponding to each month and all the thermal power annual total overhaul capacities, wherein the thermal power overhaul capacity corresponding to each month comprises the following steps:
according to
Figure SMS_10
Determining a plurality of thermal power overhaul capacities, wherein ∈10>
Figure SMS_11
For the thermal power overhaul capacity of the c-th thermal power generating unit in the m-th month,/->
Figure SMS_12
And the total annual overhaul capacity of the thermal power of the c-th thermal power generating unit.
Optionally, the objective function of the maintenance plan optimization model is:
Figure SMS_13
wherein->
Figure SMS_14
For the deviation of the hydroelectric overhaul capacity of the h hydroelectric generating set in the T period and the optimized hydroelectric overhaul capacity, T is the total period +.>
Figure SMS_15
The deviation amount of the thermal power overhaul capacity and the optimized thermal power overhaul capacity of the c-th thermal power generating unit in the t period is obtained. />
Optionally, the constraint condition equation of the objective function of the maintenance plan optimization model is:
Figure SMS_16
，
and
Figure SMS_17
wherein->
Figure SMS_18
For the mth month corresponding to the t period,
Figure SMS_19
for the hydropower overhaul capacity of the h hydropower unit in the m month corresponding to the t period,
Figure SMS_20
For the installed capacity of the h-th hydroelectric generating set, < >>
Figure SMS_21
For the state of the h hydroelectric generating set in the t period,/->
Figure SMS_22
For the thermal power overhaul capacity of the (c) th thermal power unit in the (m) th month corresponding to the t period,/f>
Figure SMS_23
For the installed capacity of the c-th thermal power unit, < > for>
Figure SMS_24
For the state of the c-th thermal power generating unit in the t period,/->
Figure SMS_25
For the optimized thermal power overhaul capacity,
Figure SMS_26
for the optimized hydropower overhaul capacity.
According to another aspect of the present application, there is provided an overhaul determination device of a generator set, the device including an acquisition unit, a first determination unit, and a second determination unit; the acquisition unit is used for acquiring a plurality of hydropower overhaul capacities, wherein each hydropower overhaul capacity is the overhaul capacity of the hydropower unit corresponding to each month, and the overhaul capacity of the hydropower unit is used for representing the electric quantity for overhaul of the hydropower unit; the first determining unit is used for determining a plurality of thermal power overhaul capacities according to all the hydroelectric overhaul capacities, the hydroelectric overhaul capacities correspond to the thermal power overhaul capacities one by one, each thermal power overhaul capacity is the overhaul capacity of a thermal power unit corresponding to each month, and the overhaul capacity of the thermal power unit is used for representing electric quantity for overhaul of the thermal power unit; the second determining unit is used for constructing an overhaul plan optimization model, and determining an overhaul plan result according to all the hydroelectric power overhaul capacities and all the thermal power overhaul capacities by adopting the overhaul plan optimization model, wherein the overhaul plan result comprises the state of each hydroelectric power generating unit and the state of each thermal power generating unit, the state of the hydroelectric power generating unit is an overhaul state or a delivery state, the state of the thermal power generating unit is an overhaul state or a delivery state, the overhaul plan optimization model is obtained by using a plurality of groups of historical power generating unit data, and each group of historical power generating unit data in the plurality of groups of historical power generating unit data comprises data acquired in a historical time period: the hydroelectric generating set comprises a hydroelectric generating set, a thermal power generating set, a hydroelectric generating set, a thermal power generating set, a hydroelectric generating set state and a thermal generating set state.
According to another aspect of the present application, there is provided a computer readable storage medium, where the computer readable storage medium includes a stored program, and when the program runs, the apparatus where the computer readable storage medium is controlled to execute any one of the methods for determining maintenance of a generator set.
According to another aspect of the present application, there is provided an electronic device comprising one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising a service determining method for performing any one of the generator sets.
By using the technical scheme, the operation structure which is simpler than the existing scheme is adopted by singly using the hydroelectric overhaul capacity and the thermal power overhaul capacity, and finally, the overhaul plan optimization model is constructed, and the overhaul plan result is determined according to all the hydroelectric overhaul capacity and all the thermal power overhaul capacity by adopting the overhaul plan optimization model.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:
fig. 1 is a block diagram showing a hardware configuration of a mobile terminal for performing a service determining method of a generator set according to an embodiment of the present application;
FIG. 2 illustrates a flow diagram of a method for service determination of a genset provided in accordance with embodiments of the present application;
fig. 3 shows a block diagram of a maintenance determining device of a generator set according to an embodiment of the present application.
Detailed Description
It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
In order to make the present application solution better understood by those skilled in the art, the following description will be made in detail and with reference to the accompanying drawings in the embodiments of the present application, it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe the embodiments of the present application described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
As introduced in the background art, the prior art proposes a unit overhaul plan optimization method based on an optimization theory, wherein the overhaul state of each unit in each period is set to be 0-1 variable, a mathematical optimization model is established by taking equal reserve rate as an optimization target, and a generator unit overhaul plan is obtained by solving the model. Although the optimal maintenance plan meeting the operation constraint can be obtained theoretically, the model contains a large number of 0-1 variables due to the large number of generator sets of a large power grid, so that the model is difficult to converge. Aiming at the problem that the existing scheme is low in determining efficiency of the maintenance schedule of the generator set, the embodiment of the application provides a maintenance determining method, device, computer-readable storage medium and electronic equipment of the generator set.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
The method embodiments provided in the embodiments of the present application may be performed in a mobile terminal, a computer terminal or similar computing device. Taking the mobile terminal as an example, fig. 1 is a block diagram of a hardware structure of the mobile terminal of a method for determining maintenance of a generator set according to an embodiment of the present invention. As shown in fig. 1, a mobile terminal may include one or more (only one is shown in fig. 1) processors 102 (the processor 102 may include, but is not limited to, a microprocessor MCU or a processing device such as a programmable logic device FPGA) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 for communication functions and an input-output device 108. It will be appreciated by those skilled in the art that the structure shown in fig. 1 is merely illustrative and not limiting of the structure of the mobile terminal described above. For example, the mobile terminal may also include more or fewer components than shown in fig. 1, or have a different configuration than shown in fig. 1.
The memory 104 may be used to store a computer program, for example, a software program of application software and a module, such as a computer program corresponding to a display method of device information in an embodiment of the present invention, and the processor 102 executes the computer program stored in the memory 104 to perform various functional applications and data processing, that is, to implement the above-described method. Memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory remotely located relative to the processor 102, which may be connected to the mobile terminal via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof. The transmission device 106 is used to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, simply referred to as NIC) that can connect to other network devices through a base station to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is configured to communicate with the internet wirelessly.
In the present embodiment, a method for determining maintenance of a generator set operating on a mobile terminal, a computer terminal, or a similar computing device is provided, it should be noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be performed in an order different from that herein.
Fig. 2 is a flow chart of a method for determining overhaul of a generator set according to an embodiment of the present application. As shown in fig. 2, the method comprises the steps of:
step S201, obtaining a plurality of hydropower overhaul capacities, wherein each hydropower overhaul capacity is the overhaul capacity of a hydropower unit corresponding to each month, and the overhaul capacity of the hydropower unit is used for representing the electric quantity capable of overhauling the hydropower unit;
according to the prediction condition of the incoming water, the water and electricity monthly maintenance capacity is arranged, namely the water and electricity monthly maintenance capacity is arranged.
Step S201 includes the steps of:
step S2011, obtaining a plurality of total water and electricity water inflow and total hydropower assembly machine capacity, wherein the total water and electricity water inflow is used for representing the total water inflow of the hydropower unit, and the total hydropower assembly machine capacity is used for representing the total electric quantity required by the working and maintenance of all the hydropower units;
In particular, the method comprises the steps of,
Figure SMS_27
wherein, the water supply pre-measurement of the h hydroelectric generating set in the mth month is obtained from the hydroelectric information management system>
Figure SMS_28
H is the total number of hydroelectric generating sets, +.>
Figure SMS_29
The total water intake amount of the hydropower station in month m.
Step S2012, determining total annual maintenance capacity of a plurality of hydropower units according to the total installed capacity of the hydropower units, wherein the total annual maintenance capacity of the hydropower units is used for representing the electric quantity for maintenance of the hydropower units in one year;
in particular, the method comprises the steps of,
Figure SMS_30
wherein the average overhaul day of the hydroelectric generating set is T 1 ，
Figure SMS_31
Hydropower total capacity (hydropower total capacity is used to characterize the sum of the installed capacities of all hydropower units),>
Figure SMS_32
the total annual maintenance capacity of the hydropower station.
Step S2013, determining the hydropower overhaul capacity corresponding to each month according to the total hydropower inflow corresponding to each month and the total annual overhaul capacity of all hydropower;
in one embodiment of the present application, determining the hydropower overhaul capacity corresponding to each month according to the total hydropower inflow amount corresponding to each month and the total annual overhaul capacity of all the hydropower, includes:
according to
Figure SMS_33
Determining the hydropower overhaul capacity corresponding to each month, wherein,
Figure SMS_34
for the hydropower overhaul capacity of month m, < > >
Figure SMS_35
For the total water supply of the hydropower in month m,>
Figure SMS_36
the total annual maintenance capacity of the hydropower station is obtained.
Step S202, determining a plurality of thermal power overhaul capacities according to all the hydroelectric overhaul capacities, wherein the hydroelectric overhaul capacities correspond to the thermal power overhaul capacities one by one, each thermal power overhaul capacity is the overhaul capacity of a thermal power unit corresponding to each month, and the overhaul capacity of the thermal power unit is used for representing the electric quantity for overhaul of the thermal power unit;
according to the load prediction condition, the monthly maintenance capacity of the thermal power is arranged, namely the monthly maintenance capacity of the thermal power.
Step S202 includes the steps of:
step S2021, determining a plurality of thermal power capacity demand values according to all the hydropower overhaul capacities;
step S2022, obtaining a plurality of total annual overhaul capacities of the thermal power generating units, wherein the total annual overhaul capacities of the thermal power generating units are used for representing electric quantity of overhaul of the thermal power generating units in one year;
wherein,,
Figure SMS_37
，
Figure SMS_38
the total annual overhaul capacity (namely the sum of the annual total overhaul capacities of all the thermal power generating units) is +.>
Figure SMS_39
The average overhaul day of the thermal power unit is T, which is the total capacity of the thermal power unit (namely the sum of the installed capacities of all thermal power units, wherein the installed capacity is a parameter for representing the power generation capacity of the thermal power unit or the hydroelectric power unit) 2 。
Step S2023, determining the thermal power maintenance capacity corresponding to each month based on the thermal power capacity demand value corresponding to each month and the total annual maintenance capacity of all thermal power.
In one embodiment of the present application, determining a plurality of thermal power capacity demand values from all of the above-described hydropower overhaul capacities includes:
according to
Figure SMS_40
A plurality of the thermal power capacity demand values are determined, wherein,
Figure SMS_41
for the thermal power capacity requirement of the mth month, +.>
Figure SMS_42
Maximum load forecast value (maximum load forecast value is used for representing maximum electricity demand of all users) for mth month +.>
Figure SMS_43
For the capacity of the hydroelectric power assembly machine, < >>
Figure SMS_44
The hydropower overhaul capacity of the mth month;
and/or the number of the groups of groups,
determining the thermal power maintenance capacity corresponding to each month according to the thermal power capacity requirement value corresponding to each month and the total annual maintenance capacity of all the thermal power, wherein the thermal power maintenance capacity corresponding to each month comprises the following steps:
according to
Figure SMS_45
Determining a plurality of thermal power overhaul capacities, wherein ∈10>
Figure SMS_46
For the thermal power overhaul capacity of the mth month,/->
Figure SMS_47
The total annual overhaul capacity of the thermal power is obtained. />
Step S203, constructing an overhaul plan optimization model, adopting the overhaul plan optimization model, determining an overhaul plan result according to all the hydroelectric overhaul capacities and all the thermal power overhaul capacities,
The maintenance planning result comprises the states of the hydroelectric generating sets and the states of the thermal power generating sets, the states of the hydroelectric generating sets are maintenance states or operation states, the states of the thermal power generating sets are maintenance states or operation states, the maintenance planning optimization model is trained by using a plurality of sets of historical generating set data, and each set of historical generating set data in the plurality of sets of historical generating set data comprises data acquired in a historical time period: the hydroelectric power generation system comprises a plurality of hydroelectric power generation units, a plurality of thermal power generation units, a state of each hydroelectric power generation unit and a state of each thermal power generation unit.
Specifically, the state of each of the hydroelectric power generating units and the state of each of the thermal power generating units are used as the output of the maintenance schedule optimization model, and the hydroelectric power maintenance capacities of the plurality of hydroelectric power generating units and the thermal power maintenance capacities of the plurality of thermal power generating units are used as the input of the maintenance schedule optimization model.
In one embodiment of the present application, the objective function of the above maintenance plan optimization model is:
Figure SMS_48
wherein->
Figure SMS_49
For the deviation of the hydroelectric overhaul capacity of the h hydroelectric generating set in the T period and the optimized hydroelectric overhaul capacity, T is the total period +. >
Figure SMS_50
The deviation amount of the thermal power overhaul capacity and the optimized thermal power overhaul capacity of the c-th thermal power generating unit in the t period is obtained.
Specifically, the time interval is typically 1 hour, 8760 hours a year, i.e., T is 8760.
In one embodiment of the present application, the constraint equation of the objective function of the maintenance plan optimization model is:
Figure SMS_51
，
and
Figure SMS_52
wherein->
Figure SMS_53
For the mth month corresponding to the t period,
Figure SMS_54
for the hydropower overhaul capacity of the h hydropower unit in the m month corresponding to the t period, < + >>
Figure SMS_55
For the installed capacity of the h-th hydroelectric generating set, < >>
Figure SMS_56
For the state of the h hydroelectric generating set in the t period,/->
Figure SMS_57
For the thermal power overhaul capacity of the (c) th thermal power unit in the (m) th month corresponding to the t period,/f>
Figure SMS_58
For the installed capacity of the c-th thermal power unit, < > for>
Figure SMS_59
For the state of the c-th thermal power generating unit in the t period,/->
Figure SMS_60
For the optimized thermal power overhaul capacity described above,
Figure SMS_61
for the above-mentioned optimized hydropower overhaul capacity.
In particular, the method comprises the steps of,
Figure SMS_62
is a variable from 0 to 1, in->
Figure SMS_63
Under the condition of 1, determining that the state of the c-th thermal power generating unit in the t period is an overhaul state, wherein the state is +.>
Figure SMS_64
If the value is 1, determining that the state of the c-th thermal power generating unit in the t period is a running state (the running state is in an operating state and maintenance is not performed), >
Figure SMS_65
Is a variable from 0 to 1, in->
Figure SMS_66
In case of 1, the state of the h hydroelectric generating set in the period t is determined to be an overhaul state, and the state is equal to +.>
Figure SMS_67
In the case of 0, the h is determinedThe state of the hydroelectric generating set in the period t is a running state.
The maintenance plan optimization model established in the steps is a mixed integer linear programming model, and is solved by adopting mathematical optimization software, such as GAMS, AIMMS, CPLEX and other mathematical optimization software.
For example, in step S201, as shown in table 1, plant a has 89 thermal power units and 81 hydroelectric power units.
Figure SMS_68
Then, in step S202, the thermal power monthly repair capacity is calculated by combining the load prediction conditions, as shown in table 2:
Figure SMS_69
finally, as shown in step S203, the maintenance schedules of all the hydroelectric generating sets are shown in table 3, and the maintenance schedules of all the thermal power generating sets are shown in table 4, wherein table 3 shows only the first 16 and table 4 shows only the first 20:
Figure SMS_70
Figure SMS_71
through the embodiment, through the independent hydroelectric overhaul capacity and the thermal power overhaul capacity, a simpler operation structure compared with the existing scheme is adopted, and finally, an overhaul plan optimization model is constructed, and an overhaul plan result is determined according to all the hydroelectric overhaul capacities and all the thermal power overhaul capacities by adopting the overhaul plan optimization model.
In order to enable those skilled in the art to more clearly understand the technical solutions of the present application, the implementation process of the method for determining overhaul of a generator set of the present application will be described in detail below with reference to specific embodiments.
The embodiment relates to a specific method for determining overhaul of a generator set, which comprises the following steps:
step S1: according to the prediction condition of the incoming water, the repair capacity of the hydropower is arranged in a month-by-month manner (namely corresponding to the step S201);
step S2: according to the load prediction condition, the monthly repair capacity of the thermal power is arranged (namely, corresponding to the step S202);
step S3: and (3) building a unit overhaul plan optimization model, and solving the model to obtain annual overhaul plans of all the generator units (namely, corresponding to the step S203).
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowcharts, in some cases the steps illustrated or described may be performed in an order other than that illustrated herein.
The embodiment of the application also provides a device for determining the overhaul of the generator set, and the device for determining the overhaul of the generator set can be used for executing the method for determining the overhaul of the generator set. The device is used for realizing the above embodiments and preferred embodiments, and is not described in detail. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
The following describes an overhaul determination device for a generator set provided in an embodiment of the present application.
Fig. 3 is a block diagram of a maintenance determining device of a generator set according to an embodiment of the present application. As shown in fig. 3, the apparatus includes an acquisition unit 31, a first determination unit 32, and a second determination unit 33; the obtaining unit 31 is configured to obtain a plurality of hydropower overhaul capacities, where each hydropower overhaul capacity is an overhaul capacity of a hydropower unit corresponding to each month, and the overhaul capacity of the hydropower unit is used to represent an electric quantity that can be overhauled by the hydropower unit; the first determining unit 32 is configured to determine a plurality of thermal power overhaul capacities according to all the hydroelectric overhaul capacities, where the hydroelectric overhaul capacities correspond to the thermal power overhaul capacities one by one, each of the thermal power overhaul capacities is an overhaul capacity of a thermal power unit corresponding to each month, and the overhaul capacity of the thermal power unit is used for representing an electric quantity capable of being overhauled by the thermal power unit; the second determining unit 33 is configured to construct an overhaul plan optimization model, and determine an overhaul plan result according to all the hydroelectric generating sets and all the thermal power generating sets, where the overhaul plan result includes a state of each of the hydroelectric generating sets and a state of each of the thermal generating sets, the state of the hydroelectric generating sets is an overhaul state or a delivery state, the state of the thermal generating sets is an overhaul state or a delivery state, the overhaul plan optimization model is obtained using a plurality of sets of historical generating set data, and each set of historical generating set data includes data acquired in a historical period: the hydroelectric power generation system comprises a plurality of hydroelectric power generation units, a plurality of thermal power generation units, a state of each hydroelectric power generation unit and a state of each thermal power generation unit.
In the device, the operation structure which is simpler than the existing scheme is adopted by singly water and electricity overhaul capacity and thermal power overhaul capacity, and finally, the overhaul plan optimization model is constructed, and the overhaul plan result is determined according to all the water and electricity overhaul capacity and all the thermal power overhaul capacity by adopting the overhaul plan optimization model, so that the steps are simplified, the computational complexity is reduced, the determination efficiency of the overhaul plan of the generator set is improved, and the problem that the determination efficiency of the overhaul plan of the generator set is lower in the existing scheme is solved
In one embodiment of the present application, the obtaining unit includes a first obtaining module, a first determining module and a second determining module, where the first obtaining module is configured to obtain a plurality of total water and electricity inflow amounts and a total hydropower installation capacity, the total water and electricity inflow amounts are used to represent a total water inflow amount of the hydropower unit, and the total hydropower installation capacity is used to represent a total electric quantity required for performing operation and maintenance of all the hydropower units; the first determining module is used for determining total annual maintenance capacity of a plurality of hydropower stations according to the total installed capacity of the hydropower stations, and the total annual maintenance capacity of the hydropower stations is used for representing electric quantity which can be overhauled by the hydropower station in one year; the second determining module is used for determining the hydropower overhaul capacity corresponding to each month according to the total hydropower inflow corresponding to each month and the total annual overhaul capacity of all hydropower.
In one embodiment of the present application, the second determination module includes a first determination sub-module;
the first determination submodule is used for according to
Figure SMS_72
Determining the hydropower overhaul capacity corresponding to each month, wherein->
Figure SMS_73
For the hydropower overhaul capacity of the h hydropower unit in the m month, < >>
Figure SMS_74
For the total water supply of the hydropower in month m,>
Figure SMS_75
the total annual total maintenance capacity of the hydropower station is the h hydropower station.
In one embodiment of the present application, the first determining unit includes a third determining module, a second acquiring module, and a fourth determining module; the third determining module is used for determining a plurality of thermal power capacity requirement values according to all the hydropower overhaul capacities; the second acquisition module is used for acquiring total annual overhaul capacity of a plurality of thermal power plants, and the total annual overhaul capacity of the thermal power plants is used for representing electric quantity of overhaul of the thermal power plants in one year; and the fourth determining module is used for determining the thermal power overhaul capacity corresponding to each month according to the thermal power capacity requirement value corresponding to each month and the total annual overhaul capacity of all the thermal power.
In one embodiment of the present application, the third determination module includes a second determination sub-module;
the second determination submodule is used for according to
Figure SMS_76
Determining a plurality of thermal power capacity demand values, wherein +.>
Figure SMS_77
For the thermal power capacity requirement value of the c-th thermal power unit in the m-th month,/->
Figure SMS_78
For maximum load forecast value of month m, < >>
Figure SMS_79
For the installed capacity of the h-th hydroelectric generating set, < >>
Figure SMS_80
The water and electricity overhaul capacity of the h water and electricity unit in the m month is provided;
and/or the number of the groups of groups,
the fourth determination module comprises a third determination sub-module;
a third determination submodule for according to
Figure SMS_81
Determining a plurality of thermal power overhaul capacities, wherein ∈10>
Figure SMS_82
For the thermal power overhaul capacity of the c thermal power generating unit in the m month,/->
Figure SMS_83
The total annual overhaul capacity of the thermal power generating unit is the c thermal power generating unit.
In one embodiment of the present application, the objective function of the above maintenance plan optimization model is:
Figure SMS_84
wherein->
Figure SMS_85
For the deviation of the hydroelectric overhaul capacity of the h hydroelectric generating set in the T period and the optimized hydroelectric overhaul capacity, T is the total period +.>
Figure SMS_86
The deviation amount of the thermal power overhaul capacity and the optimized thermal power overhaul capacity of the c-th thermal power generating unit in the t period is obtained.
Specifically, the time interval is typically 1 hour, 8760 hours a year, i.e., T is 8760.
In one embodiment of the present application, the constraint equation of the objective function of the maintenance plan optimization model is:
Figure SMS_87
，/>
And
Figure SMS_91
wherein->
Figure SMS_92
For the mth month corresponding to the t period,
Figure SMS_93
for the hydropower overhaul capacity of the h hydropower unit in the m month corresponding to the t period, < + >>
Figure SMS_94
For the installed capacity of the h-th hydroelectric generating set, < >>
Figure SMS_95
For the state of the h hydroelectric generating set in the t period,/->
Figure SMS_96
For the c-th thermal power generating unit in t periodThe thermal power overhaul capacity of the corresponding mth month, < >>
Figure SMS_97
For the installed capacity of the c-th thermal power unit, < > for>
Figure SMS_88
For the state of the c-th thermal power generating unit in the t period,/->
Figure SMS_89
For the optimized thermal power overhaul capacity described above,
Figure SMS_90
for the above-mentioned optimized hydropower overhaul capacity.
The overhaul determination device of the generator set comprises a processor and a memory, wherein the acquisition unit, the first determination unit, the second determination unit and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions. The modules are all located in the same processor; alternatively, the above modules may be located in different processors in any combination.
The processor includes a kernel, and the kernel fetches the corresponding program unit from the memory. The kernel can be provided with one or more than one, and the problem of low determination efficiency of the maintenance plan of the generator set in the existing scheme is solved by adjusting kernel parameters.
The memory may include volatile memory, random Access Memory (RAM), and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), among other forms in computer readable media, the memory including at least one memory chip.
The embodiment of the invention provides a computer readable storage medium, which comprises a stored program, wherein the program is controlled to control equipment where the computer readable storage medium is located to execute the maintenance determining method of the generator set.
The embodiment of the invention provides a processor, which is used for running a program, wherein the maintenance determining method of the generator set is executed when the program runs.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program stored in the memory and capable of running on the processor, wherein the processor realizes at least the following steps when executing the program: acquiring a plurality of hydropower overhaul capacities, wherein each hydropower overhaul capacity is the overhaul capacity of a hydropower unit corresponding to each month, and the overhaul capacity of the hydropower unit is used for representing the electric quantity capable of being overhauled by the hydropower unit; determining a plurality of thermal power overhaul capacities according to all the hydropower overhaul capacities, wherein the hydropower overhaul capacities and the thermal power overhaul capacities are in one-to-one correspondence, each thermal power overhaul capacity is the overhaul capacity of a thermal power unit corresponding to each month, and the overhaul capacity of the thermal power unit is used for representing the electric quantity for overhaul of the thermal power unit; constructing an overhaul plan optimization model, and determining an overhaul plan result according to all the hydroelectric power overhaul capacities and all the thermal power overhaul capacities by adopting the overhaul plan optimization model, wherein the overhaul plan result comprises the states of the hydroelectric power units and the states of the thermal power units, the states of the hydroelectric power units are overhaul states or operational states, the states of the thermal power units are overhaul states or operational states, the overhaul plan optimization model is trained by using a plurality of sets of historical power generator unit data, and each set of historical power generator unit data in the plurality of sets of historical power generator unit data comprises data acquired in a historical time period: the hydroelectric power generation system comprises a plurality of hydroelectric power generation units, a plurality of thermal power generation units, a state of each hydroelectric power generation unit and a state of each thermal power generation unit. The device herein may be a server, PC, PAD, cell phone, etc.
The present application also provides a computer program product adapted to perform a program initialized with at least the following method steps when executed on a data processing device: acquiring a plurality of hydropower overhaul capacities, wherein each hydropower overhaul capacity is the overhaul capacity of a hydropower unit corresponding to each month, and the overhaul capacity of the hydropower unit is used for representing the electric quantity capable of being overhauled by the hydropower unit; determining a plurality of thermal power overhaul capacities according to all the hydropower overhaul capacities, wherein the hydropower overhaul capacities and the thermal power overhaul capacities are in one-to-one correspondence, each thermal power overhaul capacity is the overhaul capacity of a thermal power unit corresponding to each month, and the overhaul capacity of the thermal power unit is used for representing the electric quantity for overhaul of the thermal power unit; constructing an overhaul plan optimization model, and determining an overhaul plan result according to all the hydroelectric power overhaul capacities and all the thermal power overhaul capacities by adopting the overhaul plan optimization model, wherein the overhaul plan result comprises the states of the hydroelectric power units and the states of the thermal power units, the states of the hydroelectric power units are overhaul states or operational states, the states of the thermal power units are overhaul states or operational states, the overhaul plan optimization model is trained by using a plurality of sets of historical power generator unit data, and each set of historical power generator unit data in the plurality of sets of historical power generator unit data comprises data acquired in a historical time period: the hydroelectric power generation system comprises a plurality of hydroelectric power generation units, a plurality of thermal power generation units, a state of each hydroelectric power generation unit and a state of each thermal power generation unit.
The application also provides an electronic device comprising one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs comprise a method for performing any of the above-described methods for determining overhaul of a generator set.
It will be appreciated by those skilled in the art that the modules or steps of the invention described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may be implemented in program code executable by computing devices, so that they may be stored in a storage device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than that shown or described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:
1) According to the maintenance determining method for the generator set, by means of independent hydropower maintenance capacity and thermal power maintenance capacity, a simpler operation structure compared with the existing scheme is adopted, finally, a maintenance plan optimization model is constructed, and maintenance plan results are determined according to all the hydropower maintenance capacities and all the thermal power maintenance capacities, and steps are simplified, so that the complexity of calculation is reduced, the determination efficiency of the generator set maintenance plan is improved, and the problem that the determination efficiency of the generator set maintenance plan is lower in the existing scheme is solved.
2) According to the maintenance determining device for the generator set, through the independent hydroelectric maintenance capacity and the thermal power maintenance capacity, the operation structure which is simpler than that of the existing scheme is adopted, the maintenance plan optimization model is built, and the maintenance plan result is determined according to all the hydroelectric maintenance capacities and all the thermal power maintenance capacities, so that the steps are simplified, the complexity of calculation is reduced, the determination efficiency of the generator set maintenance plan is improved, and the problem that the determination efficiency of the generator set maintenance plan is lower in the existing scheme is solved.
The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the same, but rather, various modifications and variations may be made by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims (10)

1. A method of determining service of a generator set, comprising:
acquiring a plurality of hydropower overhaul capacities, wherein each hydropower overhaul capacity is the overhaul capacity of a hydropower unit corresponding to each month, and the overhaul capacity of the hydropower unit is used for representing the electric quantity for overhaul of the hydropower unit;
determining a plurality of thermal power overhaul capacities according to all the hydropower overhaul capacities, wherein the hydropower overhaul capacities and the thermal power overhaul capacities are in one-to-one correspondence, each thermal power overhaul capacity is the overhaul capacity of a thermal power unit corresponding to each month, and the overhaul capacity of the thermal power unit is used for representing the electric quantity for overhaul of the thermal power unit;
constructing an overhaul plan optimization model, adopting the overhaul plan optimization model, determining an overhaul plan result according to all the hydroelectric overhaul capacities and all the thermal power overhaul capacities,
The maintenance plan result comprises the states of the hydroelectric generating sets and the states of the thermal power generating sets, wherein the states of the hydroelectric generating sets are maintenance states or operation states, the states of the thermal power generating sets are maintenance states or operation states, the maintenance plan optimization model is trained by using a plurality of sets of historical generating set data, and each set of historical generating set data in the plurality of sets of historical generating set data comprises data acquired in a historical time period: the hydroelectric generating set comprises a hydroelectric generating set, a thermal power generating set, a hydroelectric generating set, a thermal power generating set, a hydroelectric generating set state and a thermal generating set state.
2. The method of claim 1, wherein obtaining a plurality of hydropower overhaul capacities comprises:
acquiring a plurality of total water and electricity water inflow and total hydropower assembly machine capacity, wherein the total water and electricity water inflow is used for representing the total water inflow of the hydropower unit, and the total hydropower assembly machine capacity is used for representing the total electric quantity required by the working and maintenance of all the hydropower units;
determining total annual maintenance capacity of a plurality of hydropower stations according to the total hydropower station installed capacity, wherein the total annual maintenance capacity of the hydropower stations is used for representing electric quantity for the hydropower station unit to maintain within one year;
And determining the hydropower overhaul capacity corresponding to each month according to the total hydropower water inflow corresponding to each month and the total annual overhaul capacity of all hydropower water.
3. The method of claim 2, wherein determining the hydropower overhaul capacity for each month based on the total hydropower intake for each month and the total annual overhaul capacity for all of the hydropower, comprises:
according to
Figure QLYQS_1
Determining the hydropower overhaul capacity corresponding to each month, wherein->
Figure QLYQS_2
For the hydropower overhaul capacity of the h hydropower unit in month m +.>
Figure QLYQS_3
For the total water supply of said hydropower in month m,>
Figure QLYQS_4
and the total annual maintenance capacity of the hydropower station is the h hydropower station.
4. The method of claim 1, wherein determining a plurality of thermal power service capacities based on all of the hydroelectric service capacities comprises:
determining a plurality of thermal power capacity demand values according to all the hydroelectric overhaul capacities;
acquiring total annual overhaul capacity of a plurality of thermal power plants, wherein the total annual overhaul capacity of the thermal power plants is used for representing electric quantity of overhaul of the thermal power plants in one year;
and determining the thermal power overhaul capacity corresponding to each month according to the thermal power capacity requirement value corresponding to each month and the total annual overhaul capacity of all the thermal power.
5. The method of claim 4, wherein the step of determining the position of the first electrode is performed,
determining a plurality of thermal power capacity demand values according to all the hydropower overhaul capacities, including:
according to
Figure QLYQS_5
Determining a plurality of thermal power capacity demand values, wherein +.>
Figure QLYQS_6
For the thermal power capacity demand of the c-th thermal power plant at the m-th month,/->
Figure QLYQS_7
For maximum load forecast value of month m, < >>
Figure QLYQS_8
For the installed capacity of the h-th hydroelectric generating set, < >>
Figure QLYQS_9
The hydropower overhaul capacity of the h hydropower unit in the m month;
and/or the number of the groups of groups,
determining the thermal power overhaul capacity corresponding to each month according to the thermal power capacity requirement value corresponding to each month and all the thermal power annual total overhaul capacities, wherein the thermal power overhaul capacity corresponding to each month comprises the following steps:
according to
Figure QLYQS_10
Determining a plurality of thermal power overhaul capacities, wherein ∈10>
Figure QLYQS_11
For the thermal power overhaul capacity of the c-th thermal power generating unit in the m-th month,/->
Figure QLYQS_12
And the total annual overhaul capacity of the thermal power of the c-th thermal power generating unit.
6. The method of claim 1, wherein the objective function of the service plan optimization model is:
Figure QLYQS_13
wherein->
Figure QLYQS_14
For the deviation of the hydroelectric overhaul capacity of the h hydroelectric generating set in the T period and the optimized hydroelectric overhaul capacity, T is the total period +. >
Figure QLYQS_15
The deviation amount of the thermal power overhaul capacity and the optimized thermal power overhaul capacity of the c-th thermal power generating unit in the t period is obtained.
7. The method of claim 6, wherein the constraint equation for the objective function of the service plan optimization model is:
Figure QLYQS_16
，
and
Figure QLYQS_20
wherein->
Figure QLYQS_21
For the mth month corresponding to the t period, < > for the period of time>
Figure QLYQS_22
For the hydropower overhaul capacity of the h hydropower unit in the m month corresponding to the t period,
Figure QLYQS_23
For the installed capacity of the h-th hydroelectric generating set, < >>
Figure QLYQS_24
Is the h hydroelectric generating setStatus in t period,/->
Figure QLYQS_25
For the thermal power overhaul capacity of the (c) th thermal power unit in the (m) th month corresponding to the t period,/f>
Figure QLYQS_26
For the installed capacity of the c-th thermal power unit, < > for>
Figure QLYQS_17
For the state of the c-th thermal power generating unit in the t period,/->
Figure QLYQS_18
For the optimized thermal power overhaul capacity, < >>
Figure QLYQS_19
For the optimized hydropower overhaul capacity.
8. An overhaul determination device for a generator set, comprising:
the system comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for acquiring a plurality of hydropower overhaul capacities, each hydropower overhaul capacity is the overhaul capacity of a hydropower unit corresponding to each month, and the overhaul capacity of the hydropower unit is used for representing the electric quantity for overhaul of the hydropower unit;
the first determining unit is used for determining a plurality of thermal power overhaul capacities according to all the hydropower overhaul capacities, wherein the hydropower overhaul capacities correspond to the thermal power overhaul capacities one by one, each thermal power overhaul capacity is the overhaul capacity of a thermal power unit corresponding to each month, and the overhaul capacity of the thermal power unit is used for representing the electric quantity for overhaul of the thermal power unit;
A second determining unit for constructing an overhaul plan optimizing model, adopting the overhaul plan optimizing model, determining an overhaul plan result according to all the hydroelectric overhaul capacities and all the thermal power overhaul capacities,
the maintenance plan result comprises the states of the hydroelectric generating sets and the states of the thermal power generating sets, wherein the states of the hydroelectric generating sets are maintenance states or operation states, the states of the thermal power generating sets are maintenance states or operation states, the maintenance plan optimization model is obtained by using a plurality of sets of historical generating set data, and each set of historical generating set data in the plurality of sets of historical generating set data comprises data obtained in a historical time period: the hydroelectric generating set comprises a hydroelectric generating set, a thermal power generating set, a hydroelectric generating set, a thermal power generating set, a hydroelectric generating set state and a thermal generating set state.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored program, wherein the program, when run, controls a device in which the computer-readable storage medium is located to perform the service determining method of the generator set according to any one of claims 1 to 7.
10. An electronic device, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing the service determination method of the genset of any of claims 1-7.
CN202310414396.3A 2023-04-18 2023-04-18 Method and device for determining overhauling of generator set and electronic equipment Active CN116151807B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310414396.3A CN116151807B (en) 2023-04-18 2023-04-18 Method and device for determining overhauling of generator set and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310414396.3A CN116151807B (en) 2023-04-18 2023-04-18 Method and device for determining overhauling of generator set and electronic equipment

Publications (2)

Publication Number Publication Date
CN116151807A true CN116151807A (en) 2023-05-23
CN116151807B CN116151807B (en) 2023-09-08

Family

ID=86341069

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310414396.3A Active CN116151807B (en) 2023-04-18 2023-04-18 Method and device for determining overhauling of generator set and electronic equipment

Country Status (1)

Country Link
CN (1) CN116151807B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117273413A (en) * 2023-11-23 2023-12-22 中国电建集团贵阳勘测设计研究院有限公司 Overhauling and arranging method for water-wind-solar-storage-base-regulated power supply unit

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103259262A (en) * 2013-05-03 2013-08-21 国家电网公司 Method for optimizing maintenance plan of electric power system comprising large-scale wind power
CN104794580A (en) * 2015-04-28 2015-07-22 电力规划设计总院 Unit-by-unit month-by-month electric power and energy balance calculation method
CN107895221A (en) * 2017-10-25 2018-04-10 北京微肯佛莱科技有限公司 Long-term scheduling and Maintenance Schedule Optimization method in market environment lower step power station
CN109767078A (en) * 2018-12-19 2019-05-17 西安交通大学 A kind of polymorphic type power maintenance arrangement method based on mixed integer programming
CN114825467A (en) * 2022-06-02 2022-07-29 中国电力科学研究院有限公司 Thermal power generating unit annual maintenance plan standby adequacy evaluation method and system
CN115470952A (en) * 2022-10-14 2022-12-13 内蒙古霍煤鸿骏铝电有限责任公司 Maintenance plan generation method and system suitable for high-load local isolated network

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103259262A (en) * 2013-05-03 2013-08-21 国家电网公司 Method for optimizing maintenance plan of electric power system comprising large-scale wind power
US20150302332A1 (en) * 2013-05-03 2015-10-22 Gansu Electric Power Corporation Wind Power Technology Center Maintenance schedule optimization method for electric power system including large-scale wind power
CN104794580A (en) * 2015-04-28 2015-07-22 电力规划设计总院 Unit-by-unit month-by-month electric power and energy balance calculation method
CN107895221A (en) * 2017-10-25 2018-04-10 北京微肯佛莱科技有限公司 Long-term scheduling and Maintenance Schedule Optimization method in market environment lower step power station
CN109767078A (en) * 2018-12-19 2019-05-17 西安交通大学 A kind of polymorphic type power maintenance arrangement method based on mixed integer programming
CN114825467A (en) * 2022-06-02 2022-07-29 中国电力科学研究院有限公司 Thermal power generating unit annual maintenance plan standby adequacy evaluation method and system
CN115470952A (en) * 2022-10-14 2022-12-13 内蒙古霍煤鸿骏铝电有限责任公司 Maintenance plan generation method and system suitable for high-load local isolated network

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
颜伟 等: "水火混合电力系统发输电设备联合检修计划优化模型及其算法实用研究", 电力系统保护与控制, vol. 37, no. 24, pages 71 - 75 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117273413A (en) * 2023-11-23 2023-12-22 中国电建集团贵阳勘测设计研究院有限公司 Overhauling and arranging method for water-wind-solar-storage-base-regulated power supply unit
CN117273413B (en) * 2023-11-23 2024-02-06 中国电建集团贵阳勘测设计研究院有限公司 Overhauling and arranging method for water-wind-solar-storage-base-regulated power supply unit

Also Published As

Publication number Publication date
CN116151807B (en) 2023-09-08

Similar Documents

Publication Publication Date Title
US11314304B2 (en) Datacenter power management using variable power sources
Choi et al. Optimal scheduling and operation of the ESS for prosumer market environment in grid-connected industrial complex
Appino et al. On the use of probabilistic forecasts in scheduling of renewable energy sources coupled to storages
US12015275B2 (en) Hybrid power plant
US20130190938A1 (en) Power generation optimization in microgrid including renewable power source
Di Giorgio et al. A model predictive control approach to the load shifting problem in a household equipped with an energy storage unit
Papalexopoulos et al. Precise mass-market energy demand management through stochastic distributed computing
Zhu et al. Space-time wind speed forecasting for improved power system dispatch
CN116151807B (en) Method and device for determining overhauling of generator set and electronic equipment
CN110535183A (en) A kind of dispatching method and system of virtual plant
US20240275179A1 (en) Electrical power system and a multi-timescale coordinated optimization scheduling method therefor
Nikolaidis et al. A novel cluster-based spinning reserve dynamic model for wind and PV power reinforcement
Zhang et al. Energy storage based optimal dispatch scheme for financial improvement and fluctuation mitigation on wind power generation
Farzin et al. A hierarchical scheme for outage management in multi‐microgrids
van Hout et al. Quantifying flexibility markets
Kwon et al. Optimal market participation of pumped storage hydropower plants considering hydraulic short-circuit operation
Bovera et al. Economic opportunities for demand response by data centers within the new italian ancillary service market
Kalantar-Neyestanaki et al. Allocation of frequency control reserve from aggregated resources of active distribution systems
Silvente et al. An optimization model for the management of energy supply and demand in smart grids
ES2911469T3 (en) Predictive operational planning in a microgrid taking into account high load hourly windows of a main electrical network
Zakeri et al. Intersection of national renewable energy policies in countries with a common power market
Lee et al. Determinants of reserve margin volatility: A new approach toward managing energy supply and demand
Newlun et al. Energy Resource Planning for Puerto Rico's Future Electrical System
CN111898272B (en) Electric quantity decomposition method and device
Pourkhalili et al. Utility Scale Battery as Capacity Source for Electric Grid Systems

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant