Equipment maintenance scheme optimization method and device

Abstract

The invention belongs to the technical field of equipment maintenance, and discloses an equipment maintenance scheme optimization method and device. The method comprises the following steps: acquiring a current equipment maintenance scheme; performing maintenance time optimization on the current equipment maintenance scheme to obtain a first reference equipment maintenance scheme; performing load transfer path optimization on the first reference equipment maintenance scheme to obtain a second reference equipment maintenance scheme; and optimizing the second reference equipment maintenance scheme by using a preset maintenance constraint condition to obtain a target equipment maintenance scheme. Through the above mode, the time optimization, the load transfer path optimization and the optimization in combination with the preset maintenance constraint condition are performed on the equipment maintenance scheme, so that the problems that the reliability cannot be guaranteed, the economy cannot be guaranteed, the workload is large, the efficiency is low and the like in a manual plan making process can be effectively avoided; and the rationality of the maintenance scheme is ensured while the equipment maintenance efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment maintenance, and in particular to an equipment maintenance scheme optimization method and device. Background Art

[0002] Grid equipment maintenance is a very important part of power system operation. A scientific, reasonable and practical maintenance plan is conducive to improving the reliability of power system operation and can improve the company's modern management level and benefits.

[0003] At present, the maintenance plan for power grid equipment is basically still manually prepared based on the experience of maintenance personnel. In the manually prepared plan, there are problems such as lack of reliability and economy, heavy workload and low efficiency.

[0004] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention

[0005] The main purpose of the present invention is to provide a method and device for optimizing equipment maintenance plans, aiming to solve the problem that the current maintenance plans for power grid equipment are basically manually compiled based on the experience of maintenance personnel. In the manually compiled plans, there are technical problems such as lack of reliability and economy, large workload and low efficiency.

[0006] To achieve the above object, the present invention provides a method for optimizing an equipment maintenance plan, the method comprising the following steps:

[0007] Obtain the current equipment maintenance plan;

[0008] Optimizing the maintenance time of the current equipment maintenance plan to obtain a first reference equipment maintenance plan;

[0009] Optimizing the load transfer path of the first reference equipment maintenance plan to obtain a second reference equipment maintenance plan;

[0010] The second reference equipment maintenance plan is optimized using preset maintenance constraints to obtain a target equipment maintenance plan.

[0011] In some embodiments, optimizing the maintenance time of the current equipment maintenance plan to obtain a first reference equipment maintenance plan includes:

[0012] Construct a maintenance time optimization model, wherein the maintenance time optimization model is a first objective function corresponding to the loss cost caused by power outage maintenance, and the first objective function is Among them, F is the loss cost of electricity sales, p is the electricity price, N is the total number of maintenance equipment, T is the total number of maintenance periods, Pit is the power outage load caused by the maintenance of the i-th equipment in the t-th period, U it is the state of the i-th device at the t-th time period, W Bi is the importance weight factor of the equipment Bi to be repaired;

[0013] The maintenance time optimization model is used to optimize the maintenance time of the current equipment maintenance plan.

[0014] In some embodiments, the importance weight factor is W=A×(R×J), where A is the important parameter α i is an N-order diagonal matrix with diagonal elements, R is an N×1-order maintenance task matrix; N is the total number of equipment to be repaired, and J is the level vector of the maintenance task, where α i =L i / L sum , L i is the power outage load of line section i corresponding to the equipment to be repaired, L sum is the total load of the system.

[0015] In some embodiments, the optimizing the load transfer path of the first reference equipment maintenance plan to obtain the second reference equipment maintenance plan includes:

[0016] Constructing a load transfer path optimization model, wherein the load transfer path optimization model includes a second objective function corresponding to the network loss caused by the transferred load, a third objective function corresponding to the number of switch operations, and a fourth objective function corresponding to the power-off load;

[0017] The load transfer path optimization model is used to optimize the load transfer path of the first reference equipment maintenance plan.

[0018] In some embodiments, the second objective function is F1=min[ΔP i D i ], where F1 is the network loss caused by the transfer load, ΔP i is the system network loss during the maintenance of the i-th equipment, D i is the duration of load transfer caused by the maintenance of the i-th equipment;

[0019] The third objective function is F2=min[n0], where F2 is the number of switch operations and n0 is the number of switch operations for load transfer;

[0020] The fourth objective function is F3=min[P i T i ], where F3 is the power-off load, P i is the power outage load caused by the maintenance of the i-th equipment, T i is the maintenance duration of the i-th equipment.

[0021] In some embodiments, optimizing the second reference equipment maintenance plan by using preset maintenance constraints includes:

[0022] Determine a maximum number of equipment to be repaired simultaneously based on preset maintenance constraints;

[0023] Determine the number of equipment to be repaired simultaneously corresponding to the second reference equipment maintenance plan based on the maximum number threshold of the equipment to be repaired simultaneously;

[0024] The maintenance start time of each device to be maintained in the second reference equipment maintenance plan is adjusted according to the number of devices to be maintained simultaneously.

[0025] In some embodiments, the method further comprises:

[0026] Determine the real-time power flow of the line based on the target equipment maintenance plan;

[0027] comparing the real-time power flow with a power flow threshold;

[0028] If the real-time power flow does not exceed the power flow threshold, it is determined that the target equipment maintenance plan passes the power flow verification.

[0029] In addition, to achieve the above-mentioned purpose, the present invention also proposes an equipment maintenance plan optimization device, the equipment maintenance plan optimization device comprising:

[0030] Acquisition module, used to obtain the current equipment maintenance plan;

[0031] An optimization module, used for optimizing the maintenance time of the current equipment maintenance plan to obtain a first reference equipment maintenance plan;

[0032] The optimization module is used to optimize the load transfer path of the first reference equipment maintenance plan to obtain a second reference equipment maintenance plan;

[0033] The optimization module is used to optimize the second reference equipment maintenance plan using preset maintenance constraints to obtain a target equipment maintenance plan.

[0034] In some embodiments, the optimization module is used to construct a maintenance time optimization model, wherein the maintenance time optimization model is a first objective function corresponding to the loss cost caused by power outage maintenance, and the first objective function is Among them, F is the loss cost of electricity sales, p is the electricity price, N is the total number of maintenance equipment, T is the total number of maintenance periods, P it is the power outage load caused by the maintenance of the i-th equipment in the t-th period, U it is the state of the i-th device at the t-th time period, W Biis the importance weight factor of the equipment Bi to be repaired;

[0035] The maintenance time optimization model is used to optimize the maintenance time of the current equipment maintenance plan.

[0036] In some embodiments, the importance weight factor is W=A×(R×J), where A is the important parameter α i is an N-order diagonal matrix with diagonal elements, R is an N×1-order maintenance task matrix; N is the total number of equipment to be repaired, and J is the level vector of the maintenance task, where α i =L i / L sum , L i is the power outage load of line section i corresponding to the equipment to be repaired, L sum is the total load of the system.

[0037] The present invention obtains the current equipment maintenance plan; optimizes the maintenance time of the current equipment maintenance plan to obtain a first reference equipment maintenance plan; optimizes the load transfer path of the first reference equipment maintenance plan to obtain a second reference equipment maintenance plan; optimizes the second reference equipment maintenance plan using preset maintenance constraints to obtain a target equipment maintenance plan. Through the above methods, the equipment maintenance plan is optimized in time, load transfer path, and combined with preset maintenance constraints, which can effectively avoid the problems of lack of reliability, lack of economy, large workload, and low efficiency in manually compiled plans, thereby improving the equipment maintenance efficiency and ensuring the rationality of the maintenance plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 A schematic diagram of a flow chart of a first embodiment of a method for optimizing equipment maintenance plans according to the present invention;

[0039] Figure 2 This is a structural block diagram of the first embodiment of the equipment maintenance program optimization device of the present invention.

[0040] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0041] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0042] The embodiment of the present invention provides a method for optimizing equipment maintenance scheme, referring to Figure 1 , Figure 1 It is a flow chart of a first embodiment of a method for optimizing equipment maintenance scheme according to the present invention.

[0043] In this embodiment, the equipment maintenance plan optimization method includes the following steps:

[0044] Step S10: Obtain the current equipment maintenance plan.

[0045] In this embodiment, the executor of this embodiment is an equipment maintenance plan optimization device, wherein the equipment maintenance plan optimization device has functions such as data processing, data communication and program running. The equipment maintenance plan optimization device can be a computer terminal device or other network device, and of course it can also be other devices with similar functions, and this embodiment does not limit this.

[0046] It should be noted that the current maintenance plan for power grid equipment is basically still manually compiled based on the experience of maintenance personnel. In the manually compiled plan, there are problems such as lack of reliability and economy, heavy workload and low efficiency.

[0047] In order to solve the above technical problems, in this embodiment, the current equipment maintenance plan is obtained; the maintenance time of the current equipment maintenance plan is optimized to obtain a first reference equipment maintenance plan; the load transfer path of the first reference equipment maintenance plan is optimized to obtain a second reference equipment maintenance plan; the second reference equipment maintenance plan is optimized using preset maintenance constraints to obtain a target equipment maintenance plan. Through the above methods, the equipment maintenance plan is optimized in time, load transfer path, and combined with preset maintenance constraints, which can effectively avoid the problems of lack of reliability, lack of economy, large workload, and low efficiency in manually compiled plans, thereby improving the equipment maintenance efficiency and ensuring the rationality of the maintenance plan. Specifically, it can be achieved in the following ways.

[0048] In the specific implementation, in this embodiment, it is necessary to first obtain the current equipment maintenance plan, and optimize the current equipment maintenance plan. The optimization includes improving the economy, reliability and stability. The economy involves the power sales loss caused by the maintenance of the distribution network, the network loss caused by load transfer and related maintenance costs, which greatly increases the cost of maintenance operations. To improve the economy of maintenance, it is necessary to reduce the above-mentioned costs and losses. In terms of improving reliability and stability, if the maintenance time of the upper and lower equipment is well coordinated, the number of power outages will be greatly reduced; optimizing the load transfer path can reduce the power outage load, such as choosing to carry out maintenance during the low period of the load circuit.

[0049] Step S20: Optimizing the maintenance time of the current equipment maintenance plan to obtain a first reference equipment maintenance plan.

[0050] In the specific implementation, in this embodiment, the current equipment maintenance plan needs to be performed multiple times, and the first step is to optimize the maintenance time. Specifically, a maintenance time optimization model is constructed, and the maintenance time optimization model is used to optimize the maintenance time of the current equipment maintenance plan.

[0051] It should be noted that the maintenance time optimization model in this embodiment is the first objective function corresponding to the loss cost caused by power outage maintenance. The first objective function is Among them, F is the loss cost of electricity sales, p is the electricity price, N is the total number of maintenance equipment, T is the total number of maintenance periods, P it is the power outage load caused by the maintenance of the i-th equipment in the t-th period, U it is the state of the i-th device at the t-th time period, W Bi is the importance weight factor of the equipment Bi to be repaired, where the importance weight factor is W=A×(R×J), A is the important parameter α i is an N-order diagonal matrix with diagonal elements, R is an N×1-order maintenance task matrix; N is the total number of equipment to be repaired, and J is the level vector of the maintenance task, where α i =L i / L sum , L i is the power outage load of line section i corresponding to the equipment to be repaired, L sum is the total load of the system. it Corresponding to the status of the equipment, in actual applications, it can take two values: 0 or 1. If the value is 0, F is also 0, which means that the equipment is in a normal state, that is, no maintenance is required. If the value is 1, it means that the equipment is in maintenance state.

[0052] By establishing the first objective function of the maintenance decision problem with the goal of minimizing the loss of electricity sold due to maintenance in the above manner, the number of maintenance periods corresponding to the minimum F can be obtained, thereby adjusting the number of maintenance periods of the current equipment maintenance plan.

[0053] Step S30: Optimize the load transfer path of the first reference equipment maintenance plan to obtain a second reference equipment maintenance plan.

[0054] After completing the maintenance time optimization, in this embodiment, the load transfer path of the obtained first reference equipment maintenance plan is further optimized. Specifically, a load transfer path optimization model is constructed, and the load transfer path optimization model is used to optimize the load transfer path of the first reference equipment maintenance plan.

[0055] It should be noted that the load transfer path optimization model in this embodiment includes a second objective function corresponding to the network loss caused by the transferred load, a third objective function corresponding to the number of switch operations, and a fourth objective function corresponding to the power-off load. The second objective function is F1=min[ΔP i D i ], where F1 is the network loss caused by the transfer load, ΔP i is the system network loss during the maintenance of the i-th equipment, D i is the duration of load transfer caused by the maintenance of the i-th equipment; the third objective function is F2=min[n0], where F2 is the number of switch operations and n0 is the number of switch operations for load transfer; the fourth objective function is F3=min[P i T i ], where F3 is the power-off load, P i is the power outage load caused by the maintenance of the i-th equipment, T i The above optimization is mainly to reduce the network loss and power-off load caused by load transfer and minimize the number of switches. Under the premise of ensuring the safety of the distribution system, the load in the power-off area is transferred to other feeders as quickly and as much as possible, so as to restore power supply to the maintenance area as soon as possible.

[0056] Step S40: Optimize the second reference equipment maintenance plan using preset maintenance constraints to obtain a target equipment maintenance plan.

[0057] After obtaining the above-mentioned second reference equipment maintenance plan, the preset maintenance constraints are again used in this embodiment to perform a final optimization on the second reference equipment maintenance plan, thereby obtaining the final target equipment maintenance plan. Specifically, the maximum number threshold of simultaneously maintained equipment is determined based on the preset maintenance constraints; the number of simultaneously maintained equipment corresponding to the second reference equipment maintenance plan is determined based on the maximum number threshold of simultaneously maintained equipment; and the maintenance start time of each equipment to be maintained in the second reference equipment maintenance plan is adjusted according to the number of simultaneously maintained equipment.

[0058] It should be noted that in this embodiment, maintenance constraints are preset, such as coordinated maintenance constraints, and coordinated maintenance constraints specifically include simultaneous maintenance constraints, sequential maintenance constraints, mutually exclusive maintenance constraints, and unchangeable maintenance constraints. Simultaneous maintenance constraints: In a system, problems that can be solved by a power outage must be solved comprehensively, and it is prohibited to have incomplete maintenance that leads to repeated power outages. Therefore, some equipment must be maintained at the same time. In all maintenance plans, if the maintenance causes the same line and the same node to lose power, it can be considered as repeated power outage maintenance. When scheduling the maintenance plan, the repeated power outage maintenance will be arranged in the same time period, that is, only one power outage is allowed during the execution of this maintenance plan. For example, xi=xj, xi and xj are the time when the i-th and j-th equipment start maintenance, respectively. Sequential maintenance constraint: Since the power supply system covers a large geographical area, considering the number of maintenance staff and maintenance funds, the rationality of the maintenance route of the maintenance staff should be fully considered when formulating the maintenance plan, and the maintenance sequence should be reasonably arranged according to the principle of geographical proximity. This can not only reduce labor intensity but also reduce maintenance management costs such as travel expenses, thereby improving economic benefits. For example, xi=xj+δT+1, xi and xj are the time when the i-th and j-th equipment start maintenance, and δT is the maintenance time interval between the two equipments. Mutually exclusive maintenance constraint: In order to avoid power outages at the load point during maintenance, some equipment cannot be maintained at the same time, so they cannot be arranged for maintenance in the same time period. For example, x>xj+δT+1, xi and xj are the time when the i-th and j-th equipment start maintenance, and δT is the maintenance time interval between the two equipments. Unchangeable maintenance constraint: Historical maintenance plans and unchangeable accident maintenance, etc., the maintenance of such equipment must be guaranteed to be completed.

[0059] In addition, the preset maintenance constraints include, for example, the number of equipment to be maintained simultaneously is constrained to ∑U it ≤M, M is the maximum number of equipment to be repaired at the same time. From the above, we can know that at this time U it =1,∑U it Indicates the total number of devices under maintenance. The above method can be used to determine the devices that can be maintained at the same time, so as to adjust the maintenance start time of each device. The specific adjustment can be made by adding the maintenance time interval to the original maintenance time of each device in the above method. The specific adjustment can be set according to the actual situation and is not limited in this embodiment.

[0060] Furthermore, after obtaining the target equipment maintenance plan, in this embodiment, the target equipment maintenance plan is not immediately executed, but a power flow check is performed on the target equipment maintenance plan, specifically, the real-time power flow of the line is determined based on the target equipment maintenance plan; the real-time power flow is compared with the power flow threshold; if the real-time power flow does not exceed the power flow threshold, it is determined that the target equipment maintenance plan passes the power flow check. For example, P l ≤P lmax , where P l is the real-time power flow of the line, P lmax is the tidal threshold.

[0061] In this embodiment, the current equipment maintenance plan is obtained; the maintenance time of the current equipment maintenance plan is optimized to obtain a first reference equipment maintenance plan; the load transfer path of the first reference equipment maintenance plan is optimized to obtain a second reference equipment maintenance plan; the second reference equipment maintenance plan is optimized using preset maintenance constraints to obtain a target equipment maintenance plan. Through the above methods, the equipment maintenance plan is optimized in time, load transfer path, and combined with preset maintenance constraints, which can effectively avoid the problems of lack of reliability and economy, large workload, and low efficiency in manually compiled plans, thereby improving the equipment maintenance efficiency and ensuring the rationality of the maintenance plan.

[0062] Reference Figure 2 , Figure 2 This is a structural block diagram of the first embodiment of the equipment maintenance program optimization device of the present invention.

[0063] like Figure 2 As shown, the equipment maintenance plan optimization device proposed in the embodiment of the present invention includes:

[0064] The acquisition module 10 is used to obtain the current equipment maintenance plan;

[0065] The optimization module 20 is used to optimize the maintenance time of the current equipment maintenance plan to obtain a first reference equipment maintenance plan;

[0066] The optimization module 20 is used to optimize the load transfer path of the first reference equipment maintenance plan to obtain a second reference equipment maintenance plan;

[0067] The optimization module 20 is used to optimize the second reference equipment maintenance plan using preset maintenance constraints to obtain a target equipment maintenance plan.

[0068] In this embodiment, the current equipment maintenance plan is obtained; the maintenance time of the current equipment maintenance plan is optimized to obtain a first reference equipment maintenance plan; the load transfer path of the first reference equipment maintenance plan is optimized to obtain a second reference equipment maintenance plan; the second reference equipment maintenance plan is optimized using preset maintenance constraints to obtain a target equipment maintenance plan. Through the above methods, the equipment maintenance plan is optimized in time, load transfer path, and combined with preset maintenance constraints, which can effectively avoid the problems of lack of reliability and economy, large workload, and low efficiency in manually compiled plans, thereby improving the equipment maintenance efficiency and ensuring the rationality of the maintenance plan.

[0069] In some embodiments, the optimization module 20 is used to construct a maintenance time optimization model, wherein the maintenance time optimization model is a first objective function corresponding to the loss cost caused by power outage maintenance, and the first objective function is Among them, F is the loss cost of electricity sales, p is the electricity price, N is the total number of maintenance equipment, T is the total number of maintenance periods, P it is the power outage load caused by the maintenance of the i-th equipment in the t-th period, U it is the state of the i-th device at the t-th time period, W Bi is the importance weight factor of the equipment Bi to be repaired;

[0070] The maintenance time optimization model is used to optimize the maintenance time of the current equipment maintenance plan.

[0071] In some embodiments, the importance weight factor is W=A×(R×J), where A is the important parameter α i is an N-order diagonal matrix with diagonal elements, R is an N×1-order maintenance task matrix; N is the total number of equipment to be repaired, and J is the level vector of the maintenance task, where α i =L i / L sum , L i is the power outage load of line section i corresponding to the equipment to be repaired, L sum is the total load of the system.

[0072] In some embodiments, the optimization module 20 is used to construct a load transfer path optimization model, wherein the load transfer path optimization model includes a second objective function corresponding to the network loss caused by the transferred load, a third objective function corresponding to the number of switch operations, and a fourth objective function corresponding to the power-off load;

[0073] The load transfer path optimization model is used to optimize the load transfer path of the first reference equipment maintenance plan.

[0074] In some embodiments, the second objective function is F1=min[ΔP i D i ], where F1 is the network loss caused by the transfer load, ΔP i is the system network loss during the maintenance of the i-th equipment, D i is the duration of load transfer caused by the maintenance of the i-th equipment;

[0075] The third objective function is F2=min[n0], where F2 is the number of switch operations and n0 is the number of switch operations for load transfer;

[0076] The fourth objective function is F3=min[P i T i ], where F3 is the power-off load, P i is the power outage load caused by the maintenance of the i-th equipment, T i is the maintenance duration of the i-th equipment.

[0077] In some embodiments, the optimization module 20 is used to determine a maximum number threshold of equipment to be repaired simultaneously based on preset maintenance constraints;

[0078] Determine the number of equipment to be repaired simultaneously corresponding to the second reference equipment maintenance plan based on the maximum number threshold of the equipment to be repaired simultaneously;

[0079] The maintenance start time of each device to be maintained in the second reference equipment maintenance plan is adjusted according to the number of devices to be maintained simultaneously.

[0080] In some embodiments, the equipment maintenance plan optimization device further includes a verification module;

[0081] The verification module is used to determine the real-time power flow of the line based on the target equipment maintenance plan;

[0082] comparing the real-time power flow with a power flow threshold;

[0083] If the real-time power flow does not exceed the power flow threshold, it is determined that the target equipment maintenance plan passes the power flow verification.

[0084] An embodiment of the present application also provides an equipment maintenance plan optimization device, including a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus, and the memory is used to store the equipment maintenance plan optimization program; the processor is used to implement the above-mentioned equipment maintenance plan optimization method when executing the program stored in the memory.

[0085] The communication bus mentioned in the above equipment maintenance solution optimization device can be a peripheral component interconnect standard (English: Peripheral Component Interconnect, referred to as: PCI) bus or an extended industry standard architecture (English: Extended Industry Standard Architecture, referred to as: EISA) bus, etc. The communication bus can be divided into an address bus, a data bus, a control bus, etc.

[0086] The communication interface is used for the communication between the above equipment maintenance solution optimization equipment and other equipment.

[0087] The memory may include a random access memory (RAM) or a non-volatile memory (NVM), such as at least one disk memory. Optionally, the memory may also be at least one storage device located away from the aforementioned processor.

[0088] The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, and discrete hardware components.

[0089] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive Solid State Disk (SSD)), etc.

[0090] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0091] Each embodiment in this specification is described in a related manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0092] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. 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 invention.

[0093] It should be understood that the above is only an example and does not constitute any limitation on the technical solution of the present invention. In specific applications, technicians in this field can make settings as needed, and the present invention does not limit this.

[0094] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present invention. In practical applications, technicians in this field can select part or all of them according to actual needs to achieve the purpose of the present embodiment, and no limitation is made here.

[0095] In addition, for technical details that are not described in detail in this embodiment, reference can be made to the equipment maintenance plan optimization method provided in any embodiment of the present invention, and will not be repeated here.

[0096] In addition, it should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0097] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0098] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory (ROM) / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0099] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

[0100] It is understandable that the system provided by the embodiment of the present invention corresponds to the method provided by the embodiment of the present invention, and the explanation, examples and beneficial effects of the relevant contents can refer to the corresponding parts in the above method.

Claims

1. A method for optimizing equipment maintenance scheme, characterized in that: The equipment maintenance scheme optimization method comprises: Obtain the current equipment maintenance plan; Optimizing the maintenance time of the current equipment maintenance plan to obtain a first reference equipment maintenance plan; Optimizing the load transfer path of the first reference equipment maintenance plan to obtain a second reference equipment maintenance plan; The second reference equipment maintenance plan is optimized using preset maintenance constraints to obtain a target equipment maintenance plan.

2. The equipment maintenance plan optimization method according to claim 1, characterized in that: The optimizing the maintenance time of the current equipment maintenance plan to obtain a first reference equipment maintenance plan includes: Construct a maintenance time optimization model, wherein the maintenance time optimization model is a first objective function corresponding to the loss cost caused by power outage maintenance, and the first objective function is Among them, F is the loss cost of electricity sales, p is the electricity price, N is the total number of maintenance equipment, T is the total number of maintenance periods, P it is the power outage load caused by the maintenance of the i-th equipment in the t-th period, U it is the state of the i-th device at the t-th time period, W Bi is the importance weight factor of the equipment Bi to be repaired; The maintenance time optimization model is used to optimize the maintenance time of the current equipment maintenance plan.

3. The equipment maintenance plan optimization method according to claim 2, characterized in that: The importance weight factor is W=A×(R×J), where A is the important parameter α i is an N-order diagonal matrix with diagonal elements, R is an N×1-order maintenance task matrix; N is the total number of equipment to be repaired, and J is the level vector of the maintenance task, where α i =L i / L sum , L i is the power outage load of line section i corresponding to the equipment to be repaired, L sum is the total load of the system.

4. The equipment maintenance plan optimization method according to claim 1, characterized in that: The step of optimizing the load transfer path of the first reference equipment maintenance plan to obtain a second reference equipment maintenance plan includes: Constructing a load transfer path optimization model, wherein the load transfer path optimization model includes a second objective function corresponding to the network loss caused by the transferred load, a third objective function corresponding to the number of switch operations, and a fourth objective function corresponding to the power-off load; The load transfer path optimization model is used to optimize the load transfer path of the first reference equipment maintenance plan.

5. The equipment maintenance plan optimization method according to claim 4, characterized in that: The second objective function is F1=min[ΔP i D i ], where F1 is the network loss caused by the transfer load, ΔP i is the system network loss during the maintenance of the i-th equipment, D i The duration of load transfer caused by the maintenance of the i-th equipment; The third objective function is F2=min[n0], where F2 is the number of switch operations and n0 is the number of switch operations for load transfer; The fourth objective function is F3=min[P i T i ], where F3 is the power-off load, P i is the power outage load caused by the maintenance of the i-th equipment, T i is the maintenance duration of the i-th equipment.

6. The equipment maintenance plan optimization method according to claim 1, characterized in that: The optimizing the second reference equipment maintenance plan by using preset maintenance constraints includes: Determine a maximum number of equipment to be repaired simultaneously based on preset maintenance constraints; Determine the number of equipment to be repaired simultaneously corresponding to the second reference equipment maintenance plan based on the maximum number threshold of the equipment to be repaired simultaneously; The maintenance start time of each device to be maintained in the second reference equipment maintenance plan is adjusted according to the number of devices to be maintained simultaneously.

7. The equipment maintenance scheme optimization method according to any one of claims 1 to 6, characterized in that: The method further comprises: Determine the real-time power flow of the line based on the target equipment maintenance plan; comparing the real-time power flow with a power flow threshold; If the real-time power flow does not exceed the power flow threshold, it is determined that the target equipment maintenance plan passes the power flow verification.

8. An equipment maintenance plan optimization device, characterized in that: The equipment maintenance scheme optimization device comprises: Acquisition module, used to obtain the current equipment maintenance plan; An optimization module, used for optimizing the maintenance time of the current equipment maintenance plan to obtain a first reference equipment maintenance plan; The optimization module is used to optimize the load transfer path of the first reference equipment maintenance plan to obtain a second reference equipment maintenance plan; The optimization module is used to optimize the second reference equipment maintenance plan using preset maintenance constraints to obtain a target equipment maintenance plan.

9. The equipment maintenance plan optimization device according to claim 8, characterized in that: The optimization module is used to construct a maintenance time optimization model, which is a first objective function corresponding to the loss cost caused by power outage maintenance. The first objective function is Among them, F is the loss cost of electricity sales, p is the electricity price, N is the total number of maintenance equipment, T is the total number of maintenance periods, P it is the power outage load caused by the maintenance of the i-th equipment in the t-th period, U it is the state of the i-th device at the t-th time period, W Bi is the importance weight factor of the equipment Bi to be repaired; The maintenance time optimization model is used to optimize the maintenance time of the current equipment maintenance plan.

10. The equipment maintenance plan optimization device according to claim 9, characterized in that: The importance weight factor is W=A×(R×J), where A is the important parameter α i is an N-order diagonal matrix with diagonal elements, R is an N×1-order maintenance task matrix; N is the total number of equipment to be repaired, and J is the level vector of the maintenance task, where α i =L i / L sum , L i is the power outage load of line section i corresponding to the equipment to be repaired, L sum is the total load of the system.

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