Power system unit maintenance strategy generation method, device and equipment

Abstract

The invention discloses a power system unit maintenance strategy generation method, device and equipment. The method comprises the following steps: calculating a system daily power balance surplus margin according to a system power demand and a unit maximum output constraint; calculating a system electric quantity balance surplus margin based on the system electric quantity demand and the unit power generation capacity constraint; after the daily peak regulation demand is calculated according to the preset net load curve, the daily peak regulation surplus margin of the system is calculated according to the daily peak regulation demand and the daily peak regulation capacity of the system; combining the system daily power balance surplus margin, the system electric quantity balance surplus margin and the system daily peak regulation surplus margin to construct an optimization objective function, and generating a system unit maintenance strategy optimization model; and solving the system unit maintenance strategy optimization model under the unit maintenance constraint to obtain a unit maintenance strategy. The technical problem that the maintenance plan is difficult to adapt to the maintenance requirement of a novel power system due to the fact that traditional unit maintenance usually follows a fixed plan and a fixed period and is lack of flexibility can be solved.

Description

Technical Field

[0001] The present application relates to the technical field of power systems, and in particular to a method, device and equipment for generating a maintenance strategy for power system units. Background Art

[0002] The arrangement of the annual maintenance plan for power system units is a systematic and complex process, which aims to ensure the safe and stable operation of the power system while optimizing resource allocation and economic benefits. When arranging the maintenance plan, it is necessary to fully consider the needs of all aspects of the power grid, reasonably arrange the maintenance units and maintenance time, and avoid large-scale maintenance during the period of tight power supply and demand and peak load regulation, which will increase the risk of insufficient power and insufficient peak load regulation in the system.

[0003] In power systems with a high proportion of new energy access, the power system faces the problems of power fluctuations and peak regulation. The maintenance of traditional units usually follows fixed plans and cycles, resulting in insufficient coordination between the maintenance plan and the new power system. Summary of the invention

[0004] The present application provides a method, device and equipment for generating a maintenance strategy for a power system unit, which is used to solve the technical problem that traditional unit maintenance usually follows a fixed plan and cycle, lacks flexibility, and makes it difficult for the maintenance plan to adapt to the maintenance needs of the new power system.

[0005] In view of this, the first aspect of the present application provides a method for generating a maintenance strategy for a power system unit, comprising:

[0006] Calculate the system daily power balance surplus margin based on the system power demand and the unit maximum output constraint;

[0007] Calculate the system power balance surplus margin based on the system power demand and the unit power generation constraints;

[0008] After calculating the daily peak-shaving demand according to the preset net load curve, the daily peak-shaving surplus margin of the system is calculated according to the daily peak-shaving demand and the daily peak-shaving capacity of the system;

[0009] Combining the system daily power balance surplus margin, the system electricity balance surplus margin and the system daily peak load surplus margin to construct an optimization objective function, and generate a system unit maintenance strategy optimization model;

[0010] Solve the system unit maintenance strategy optimization model under the unit maintenance constraints to obtain the unit maintenance strategy, wherein the unit maintenance constraints include continuous maintenance constraints, unit maintenance state constraints and maintenance day constraints.

[0011] Preferably, the calculating of the system daily power balance surplus margin according to the system power demand and the unit maximum output constraint also includes:

[0012] The timing curve information, unit output information and unit parameter information of the power system are obtained, wherein the timing curve information includes a load curve, a new energy curve and an input power and a received power curve.

[0013] Preferably, the calculation of the system power balance surplus margin based on the system power demand and the power generation capacity constraint of the unit includes:

[0014] Subtract the load power demand from the wind power, photovoltaic power and net power input to get the system power demand;

[0015] The power generation capacity of the conventional unit is determined according to the power generation capacity constraint of the unit, and the power generation capacity of the conventional unit is subtracted from the system power demand to obtain the system power balance surplus margin.

[0016] Preferably, after calculating the daily peak load demand according to the preset net load curve, calculating the system daily peak load surplus margin according to the daily peak load demand and the system daily peak load capacity includes:

[0017] Calculate the preset net load curve based on the load curve, new energy curve and input power and receiving power curve;

[0018] The peak-to-valley difference of the preset net load curve is used as the daily peak load regulation demand;

[0019] The daily peak-shaving surplus margin of the system is obtained by subtracting the daily peak-shaving capacity of the system from the daily peak-shaving demand.

[0020] Preferably, the step of solving the system unit maintenance strategy optimization model under the unit maintenance constraint to obtain the unit maintenance strategy further includes:

[0021] An annual unit maintenance strategy table is generated according to the unit maintenance strategy, and the annual unit maintenance strategy table includes unit start-up and shutdown data, maintenance data and unit maintenance period.

[0022] A second aspect of the present application provides a device for generating a maintenance strategy for a power system unit, comprising:

[0023] A power margin calculation unit, used to calculate the system daily power balance surplus margin according to the system power demand and the unit maximum output constraint;

[0024] An electricity margin calculation unit, used to calculate the system electricity balance surplus margin based on the system electricity demand and the unit power generation constraint;

[0025] A peak-shaving margin calculation unit, configured to calculate the daily peak-shaving demand according to a preset net load curve, and then calculate the daily peak-shaving surplus margin of the system according to the daily peak-shaving demand and the daily peak-shaving capacity of the system;

[0026] An optimization model building unit, used to build an optimization objective function by combining the system daily power balance surplus margin, the system electricity balance surplus margin and the system daily peak load surplus margin, and generate a system unit maintenance strategy optimization model;

[0027] The unit maintenance solving unit is used to solve the system unit maintenance strategy optimization model under the unit maintenance constraints to obtain the unit maintenance strategy. The unit maintenance constraints include continuous maintenance constraints, unit maintenance status constraints and maintenance day constraints.

[0028] Preferably, it also includes:

[0029] The data acquisition unit is used to acquire the timing curve information, unit output information and unit parameter information of the power system, wherein the timing curve information includes load curve, new energy curve and input power and received power curve.

[0030] Preferably, the power margin calculation unit is specifically used to:

[0031] Subtract the load power demand from the wind power, photovoltaic power and net power input to get the system power demand;

[0032] The power generation capacity of the conventional unit is determined according to the power generation capacity constraint of the unit, and the power generation capacity of the conventional unit is subtracted from the system power demand to obtain the system power balance surplus margin.

[0033] Preferably, the peak shaving margin calculation unit is specifically used for:

[0034] Calculate the preset net load curve based on the load curve, new energy curve and input power and receiving power curve;

[0035] The peak-to-valley difference of the preset net load curve is used as the daily peak load regulation demand;

[0036] The daily peak-shaving surplus margin of the system is obtained by subtracting the daily peak-shaving capacity of the system from the daily peak-shaving demand.

[0037] A third aspect of the present application provides a device for generating a maintenance strategy for a power system unit, the device comprising a processor and a memory;

[0038] The memory is used to store program code and transmit the program code to the processor;

[0039] The processor is used to execute the power system unit maintenance strategy generation method described in the first aspect according to the instructions in the program code.

[0040] It can be seen from the above technical solutions that the embodiments of the present application have the following advantages:

[0041] In the present application, a method for generating a maintenance strategy for a power system unit is provided, comprising: calculating a system daily power balance surplus margin according to a system power demand and a unit maximum output constraint; calculating a system power balance surplus margin based on a system power demand and a unit power generation constraint; calculating a daily peak-shaving demand according to a preset net load curve, and then calculating a system daily peak-shaving surplus margin according to the daily peak-shaving demand and the system daily peak-shaving capacity; constructing an optimization objective function by combining the system daily power balance surplus margin, the system power balance surplus margin and the system daily peak-shaving surplus margin to generate a system unit maintenance strategy optimization model; solving the system unit maintenance strategy optimization model under unit maintenance constraints to obtain a unit maintenance strategy, wherein the unit maintenance constraints include continuous maintenance constraints, unit maintenance status constraints and maintenance day constraints.

[0042] The power system unit maintenance strategy generation method provided by the present application analyzes and calculates the margin of the power balance, power balance and peak-shaving balance of the power system, and constructs the system unit maintenance strategy optimization model based on these optimization variables, which can ensure that the solved maintenance plan takes into account the power, power and peak-shaving balance of the new power system, can ensure the stability and reliability of the system, and can also meet the needs of system unit maintenance; according to the constraints and models, the data-based solution is performed, and the way to generate the maintenance strategy is more flexible and more in line with the actual situation; because the various situations of the new power system are fully considered, it can also avoid large-scale maintenance during the period of tight power supply and demand and tight peak-shaving, thereby exacerbating the risk of insufficient power and power and insufficient peak-shaving in the system. Therefore, the present application can solve the technical problem that traditional unit maintenance usually follows a fixed plan and cycle, lacks flexibility, and makes it difficult for the maintenance plan to adapt to the maintenance needs of the new power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 A flowchart of a method for generating a maintenance strategy for a power system unit provided in an embodiment of the present application;

[0044] Figure 2 A schematic diagram of the structure of a device for generating a maintenance strategy for a power system unit provided in an embodiment of the present application;

[0045] Figure 3 A schematic diagram of the system interface of the power system unit maintenance strategy generation software provided for the application example of this application;

[0046] Figure 4 Schematic diagram of the data import interface of the power system unit maintenance strategy generation software system provided for the application example of this application. DETAILED DESCRIPTION

[0047] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0048] This application needs to comprehensively consider multiple factors such as new energy output, traditional unit output, system load, etc., to formulate a more scientific and reasonable maintenance plan. The traditional unit maintenance strategy formulation method is difficult to meet this demand, and it becomes particularly necessary to optimize the unit maintenance strategy.

[0049] For easier understanding, see Figure 1 , an embodiment of a method for generating a maintenance strategy for a power system unit provided by the present application includes:

[0050] Step 101: Calculate the system daily power balance surplus margin according to the system power demand and the maximum output constraint of the unit.

[0051] In this embodiment, the system daily power balance surplus margin refers to the difference between the maximum output of the conventional unit and the maximum daily power demand of the system; the maximum output of the conventional unit is affected by the start-stop state of the unit and the maximum output of hydropower, and needs to at least meet the maximum daily power demand of the system; the maximum output constraint of the unit can be specifically expressed as:

[0052]

[0053]

[0054]

[0055] in, is the number of conventional units of non-hydropower units, is the number of hydropower units, is the number of days in a year, Indicates the maximum output capacity of the system's conventional units on day d, which refers to non-renewable energy units; represents the installed capacity of conventional unit i, represents the maximum output of hydropower unit i, Indicates the start and stop status of unit i on day d, 1 is the start status, and 0 is the stop status; is the maximum power demand of the system on day d, and the system power demand can be expressed as:

[0056]

[0057] Among them, the time correspondence is expressed as:

[0058]

[0059] in, , , , They represent the system load demand, wind power output, photovoltaic power output and net power intake in the tth period respectively.

[0060] The calculation process of the daily power balance surplus margin of the above system is expressed as:

[0061]

[0062] That is, the system daily power balance surplus margin is expressed as .

[0063] Furthermore, step 101, before that, also includes:

[0064] Obtain the timing curve information, unit output information and unit parameter information of the power system. The timing curve information includes load curve, new energy curve and input power and received power curve.

[0065] In this embodiment, whether calculating the daily power balance surplus margin of the system, or the subsequent system power balance surplus margin and system daily peak-shaving surplus margin, it is necessary to use some basic data of the power system as the basis for implementation, so the relevant data of the power system can be obtained in advance according to the calculation needs, such as timing curve information, unit output information and unit parameter information. Among them, the timing curve information includes but is not limited to the load curve, the new energy curve and the input power curve, and the duration obtained in this embodiment is 8760 hours. The unit output information includes the three-stage output of hydropower throughout the year, that is, the maximum, minimum and average output parameters of each month. The unit parameter information includes but is not limited to parameters such as power type, installed capacity and minimum technical output. The specific information obtained can be arranged according to the calculation needs, which is only used as an example here and is not limited.

[0066] Step 102: Calculate the system power balance surplus margin based on the system power demand and the power generation capacity constraint of the unit.

[0067] Further, step 102 includes:

[0068] Subtract the load power demand from the wind power, photovoltaic power and net power input to get the system power demand;

[0069] The available power generation of conventional units is determined according to the constraints on the available power generation of the units, and the available power generation of conventional units is subtracted from the system power demand to obtain the system power balance surplus margin.

[0070] The system power balance surplus margin of this embodiment refers to the difference between the power generation of conventional units and the power demand of the system, which can be specifically described as the difference between the daily power generation of conventional units and the daily power demand of the system. Among them, the daily power generation of conventional units is affected by the start-stop status of the units and the daily power consumption of hydropower; therefore, the power generation constraint of conventional units in the system can be expressed as:

[0071]

[0072]

[0073] in, represents the power generation capacity of the conventional units of the system on day d, represents the average output of hydropower unit i; is the system daily power demand on day d, which can be expressed as:

[0074]

[0075] in, , , , They represent the load power demand, wind power, photovoltaic power, and net power intake on the dth day. Determine the daily power generation capacity of conventional units After that, the calculation process of the system power balance surplus margin can be expressed as:

[0076]

[0077] That is, the system power balance surplus margin is expressed as .

[0078] Step 103: After calculating the daily peak load regulation demand according to the preset net load curve, the daily peak load regulation surplus margin of the system is calculated according to the daily peak load regulation demand and the daily peak load regulation capacity of the system.

[0079] Furthermore, step 103 includes:

[0080] Calculate the preset net load curve based on the load curve, new energy curve and input power and receiving power curve;

[0081] The peak-to-valley difference of the preset net load curve is used as the daily peak load demand;

[0082] The daily peak-shaving surplus margin of the system is obtained by subtracting the daily peak-shaving capacity from the daily peak-shaving demand.

[0083] The system daily peak-shaving surplus margin in this embodiment refers to the difference between the system daily peak-shaving capacity and the daily peak-shaving demand. The daily peak-shaving demand is the peak-to-valley difference of the preset net load curve; and the preset net load curve is calculated by subtracting the load curve from the new energy curve and the input power curve. The specific daily peak-shaving demand can be expressed as:

[0084]

[0085] in, Represents the daily peak load demand on day d.

[0086] The daily peak load regulation capacity of the system can be expressed as:

[0087]

[0088] in, represents the system daily peak load regulation capacity of the conventional units on day d, is the peak load regulation capacity of conventional unit i of non-hydropower unit, usually the difference between the maximum technical output and the minimum technical output of the unit; Represents the minimum output of hydropower unit i.

[0089] Based on the above, the calculation process of the system daily peak load surplus margin can be expressed as:

[0090]

[0091] That is, the system daily peak regulation surplus margin is expressed as .

[0092] Step 104: construct an optimization objective function by combining the system daily power balance surplus margin, the system electricity balance surplus margin and the system daily peak load surplus margin to generate a system unit maintenance strategy optimization model.

[0093] The optimization objective function is expressed as:

[0094]

[0095] The optimization objective function of this embodiment is to minimize the sum of the system daily power balance surplus margin, the system electricity balance surplus margin and the system daily peak load surplus margin. , , Represent the above three margins respectively.

[0096] Step 105, solving the system unit maintenance strategy optimization model under the unit maintenance constraints to obtain the unit maintenance strategy; the unit maintenance constraints include continuous maintenance constraints, unit maintenance status constraints and maintenance days constraints.

[0097] This embodiment requires that the maintenance strategy solved by the system unit maintenance strategy optimization model must meet the unit maintenance constraints, and the specific constraints include but are not limited to continuous maintenance constraints, unit maintenance status constraints, and maintenance days constraints. Among them, the unit continuous maintenance constraint is expressed as:

[0098]

[0099] in, is the unit maintenance status of conventional unit i on day d, 1 indicates the unit is under maintenance, and 0 indicates the unit is not under maintenance; The continuous maintenance days required for unit i throughout the year.

[0100] The annual maintenance days constraint of the unit is expressed as:

[0101]

[0102] in, The number of days in a year.

[0103] The variable constraints of the unit start-stop state and maintenance state are expressed as:

[0104]

[0105] In addition, this embodiment also requires that the units of the same power plant cannot be overhauled at the same time. This constraint can be expressed as:

[0106]

[0107] in, is the number of units belonging to the same power plant.

[0108] Based on the above unit maintenance constraints, the model can be solved to obtain the start-up and shutdown variables of conventional units. and maintenance variables The optimal solution; then we can get the maintenance periods of all conventional units throughout the year; these are the unit maintenance strategies.

[0109] Furthermore, step 105 further includes:

[0110] An annual unit maintenance strategy table is generated according to the unit maintenance strategy. The annual unit maintenance strategy table includes unit start and shutdown data, maintenance data and unit maintenance period.

[0111] Based on the unit maintenance strategy obtained from the above solution, an annual unit maintenance strategy table can be made, and all maintenance information can be recorded based on the unit maintenance period, which is convenient for viewing and analysis. This embodiment reduces the risk of insufficient system power and abandoned new energy through more reasonable maintenance arrangements, improves the stability and economy of the power system, and enhances the flexibility and adaptability of the power system.

[0112] For ease of understanding, this application provides a software application case of a method for generating a maintenance strategy for a power system unit, and designs corresponding input and output interfaces. In the input interface, you can select the file for data import and the year for generating a maintenance plan. In the output interface, you can view the maintenance strategy table for each type of unit throughout the year, the distribution of unit maintenance throughout the year, and export the unit maintenance strategy table; for details, please refer to Figure 3 and Figure 4 .

[0113] The power system unit maintenance strategy generation method provided in the embodiment of the present application analyzes and calculates the margin of the power balance, power balance and peak-shaving balance of the power system, and constructs the system unit maintenance strategy optimization model based on these optimization variables, which can ensure that the solved maintenance plan takes into account the power, power and peak-shaving balance of the new power system, can ensure the stability and reliability of the system, and can also meet the needs of system unit maintenance; according to the constraints and models, the data-based solution is performed, and the way to generate the maintenance strategy is more flexible and more in line with the actual situation; because the various situations of the new power system are fully considered, it can also avoid large-scale maintenance during the period of tight power supply and demand and tight peak-shaving, thereby exacerbating the risk of insufficient power and power and insufficient peak-shaving in the system. Therefore, the embodiment of the present application can solve the technical problem that the traditional unit maintenance usually follows a fixed plan and cycle, lacks flexibility, and makes it difficult for the maintenance plan to adapt to the maintenance needs of the new power system.

[0114] For easier understanding, see Figure 2 The present application provides an embodiment of a device for generating a maintenance strategy for a power system unit, comprising:

[0115] The power margin calculation unit 201 is used to calculate the system daily power balance surplus margin according to the system power demand and the maximum output constraint of the unit;

[0116] The power margin calculation unit 202 is used to calculate the system power balance surplus margin based on the system power demand and the unit power generation constraint;

[0117] The peak load margin calculation unit 203 is used to calculate the daily peak load demand according to the preset net load curve, and then calculate the daily peak load surplus margin of the system according to the daily peak load demand and the daily peak load capacity of the system;

[0118] The optimization model building unit 204 is used to build an optimization objective function by combining the system daily power balance surplus margin, the system electricity balance surplus margin and the system daily peak load surplus margin to generate a system unit maintenance strategy optimization model;

[0119] The unit maintenance solving unit 205 is used to solve the system unit maintenance strategy optimization model under the unit maintenance constraints to obtain the unit maintenance strategy. The unit maintenance constraints include continuous maintenance constraints, unit maintenance state constraints and maintenance day constraints.

[0120] Furthermore, it also includes:

[0121] The data acquisition unit 206 is used to acquire the timing curve information, unit output information and unit parameter information of the power system. The timing curve information includes load curve, new energy curve and input power and received power curve.

[0122] Furthermore, the power margin calculation unit 202 is specifically configured to:

[0123] Subtract the load power demand from the wind power, photovoltaic power and net power input to get the system power demand;

[0124] The available power generation of conventional units is determined according to the constraints on the available power generation of the units, and the available power generation of conventional units is subtracted from the system power demand to obtain the system power balance surplus margin.

[0125] Furthermore, the peak shaving margin calculation unit 203 is specifically used for:

[0126] Calculate the preset net load curve based on the load curve, new energy curve and input power and receiving power curve;

[0127] The peak-to-valley difference of the preset net load curve is used as the daily peak load demand;

[0128] The daily peak-shaving surplus margin of the system is obtained by subtracting the daily peak-shaving capacity from the daily peak-shaving demand.

[0129] The present application also provides a device for generating a maintenance strategy for a power system unit, the device comprising a processor and a memory;

[0130] The memory is used to store the program code and transmit the program code to the processor;

[0131] The processor is used to execute the power system unit maintenance strategy generation method in the above method embodiment according to the instructions in the program code.

[0132] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0133] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0134] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0135] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a number of instructions for executing all or part of the steps of the method described in each embodiment of the present application through a computer device (which can be a personal computer, server, or network device, etc.). The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (full name in English: Read-Only Memory, English abbreviation: ROM), random access memory (full name in English: Random Access Memory, English abbreviation: RAM), disk or optical disk and other media that can store program codes.

[0136] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for generating a maintenance strategy for a power system unit, characterized in that: include: Calculate the system daily power balance surplus margin based on the system power demand and the unit maximum output constraint; Calculate the system power balance surplus margin based on the system power demand and the unit power generation constraints; After calculating the daily peak-shaving demand according to the preset net load curve, the daily peak-shaving surplus margin of the system is calculated according to the daily peak-shaving demand and the daily peak-shaving capacity of the system; Combining the system daily power balance surplus margin, the system electricity balance surplus margin and the system daily peak load surplus margin to construct an optimization objective function, and generate a system unit maintenance strategy optimization model; Solve the system unit maintenance strategy optimization model under the unit maintenance constraints to obtain the unit maintenance strategy; the unit maintenance constraints include continuous maintenance constraints, unit maintenance status constraints and maintenance days constraints.

2. The method for generating a maintenance strategy for a power system unit according to claim 1, characterized in that: The calculation of the system daily power balance surplus margin according to the system power demand and the unit maximum output constraint also includes: The timing curve information, unit output information and unit parameter information of the power system are obtained, wherein the timing curve information includes a load curve, a new energy curve and an input power and a received power curve.

3. The method for generating a maintenance strategy for a power system unit according to claim 1, characterized in that: The calculation of the system power balance surplus margin based on the system power demand and the power generation capacity constraint of the unit includes: Subtract the load power demand from the wind power, photovoltaic power and net power input to get the system power demand; The power generation capacity of the conventional unit is determined according to the power generation capacity constraint of the unit, and the power generation capacity of the conventional unit is subtracted from the system power demand to obtain the system power balance surplus margin.

4. The method for generating a maintenance strategy for a power system unit according to claim 1, characterized in that: After calculating the daily peak-shaving demand according to the preset net load curve, calculating the daily peak-shaving surplus margin of the system according to the daily peak-shaving demand and the daily peak-shaving capacity of the system, including: Calculate the preset net load curve based on the load curve, new energy curve and input power and receiving power curve; The peak-to-valley difference of the preset net load curve is used as the daily peak load regulation demand; The daily peak-shaving surplus margin of the system is obtained by subtracting the daily peak-shaving capacity of the system from the daily peak-shaving demand.

5. The method for generating a maintenance strategy for a power system unit according to any one of claims 1 to 4, characterized in that: The system unit maintenance strategy optimization model under the unit maintenance constraint is solved to obtain the unit maintenance strategy, and then the following steps are further included: An annual unit maintenance strategy table is generated according to the unit maintenance strategy; the annual unit maintenance strategy table includes unit start-up and shutdown data, maintenance data and unit maintenance period.

6. A device for generating a maintenance strategy for a power system unit, characterized in that: include: A power margin calculation unit, used to calculate the system daily power balance surplus margin according to the system power demand and the unit maximum output constraint; An electricity margin calculation unit, used to calculate the system electricity balance surplus margin based on the system electricity demand and the unit power generation constraint; A peak-shaving margin calculation unit, configured to calculate the daily peak-shaving demand according to a preset net load curve, and then calculate the daily peak-shaving surplus margin of the system according to the daily peak-shaving demand and the daily peak-shaving capacity of the system; An optimization model building unit, used to build an optimization objective function by combining the system daily power balance surplus margin, the system electricity balance surplus margin and the system daily peak load surplus margin, and generate a system unit maintenance strategy optimization model; The unit maintenance solving unit is used to solve the system unit maintenance strategy optimization model under the unit maintenance constraints to obtain the unit maintenance strategy; the unit maintenance constraints include continuous maintenance constraints, unit maintenance status constraints and maintenance days constraints.

7. The device for generating a maintenance strategy for a power system unit according to claim 6, characterized in that: Also includes: The data acquisition unit is used to acquire the timing curve information, unit output information and unit parameter information of the power system, wherein the timing curve information includes load curve, new energy curve and input power and received power curve.

8. The device for generating a maintenance strategy for a power system unit according to claim 6, characterized in that: The power margin calculation unit is specifically used for: Subtract the load power demand from the wind power, photovoltaic power and net power input to get the system power demand; The power generation capacity of the conventional unit is determined according to the power generation capacity constraint of the unit, and the power generation capacity of the conventional unit is subtracted from the system power demand to obtain the system power balance surplus margin.

9. The device for generating a maintenance strategy for a power system unit according to claim 6, characterized in that: The peak regulation margin calculation unit is specifically used for: Calculate the preset net load curve based on the load curve, new energy curve and input power and receiving power curve; The peak-to-valley difference of the preset net load curve is used as the daily peak load regulation demand; The daily peak-shaving surplus margin of the system is obtained by subtracting the daily peak-shaving capacity of the system from the daily peak-shaving demand.

10. A device for generating a maintenance strategy for a power system unit, characterized in that: The device comprises a processor and a memory; The memory is used to store program code and transmit the program code to the processor; The processor is used to execute the power system unit maintenance strategy generation method described in any one of claims 1-5 according to the instructions in the program code.

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