Power grid asset cost evaluation and analysis system based on multi-parameter adjustment

Abstract

The invention discloses a power grid asset cost evaluation and analysis system based on multi-parameter adjustment, and relates to the technical field of power grid equipment cost evaluation. Obtaining the whole life cycle cost of each power grid device in the target area, and obtaining a whole life cycle cost set; obtaining theoretical life, service life and operation data of the target power grid equipment, and calculating an aging coefficient according to the operation data; calculating the remaining service life according to the theoretical service life, the service life and the aging coefficient, determining a target maintenance scheme according to the remaining service life, and determining a target maintenance cost according to the target maintenance scheme; correcting the target operation cost of the target power grid equipment according to the aging coefficient, and calculating the target life cycle cost; and updating the life cycle cost set according to each target life cycle cost, and performing power grid asset life cycle cost evaluation analysis. The influence of aging of power grid equipment is reduced, the operation and maintenance cost is corrected, and the cost analysis is more accurate.

Description

Technical Field

[0001] The invention belongs to the technical field of power grid equipment cost assessment, and in particular relates to a power grid asset cost assessment and analysis system based on multi-parameter regulation. Background Art

[0002] The life cycle cost assessment of power assets is a key link in the management of power companies. It aims to systematically and comprehensively assess and optimize asset costs from the entire process of equipment acquisition costs, production and operation costs, maintenance and inspection costs, and scrapping costs. This method not only helps companies achieve refined financial management and improve resource utilization efficiency, but also effectively responds to market fluctuations and environmental protection requirements and promotes sustainable development. With the deepening of energy industry reform and the development of smart grid technology, the application of life cycle cost assessment in power assets has become increasingly widespread, and its development history has demonstrated a shift from single cost control to full life cycle optimization management.

[0003] Patent CN116739377A discloses a full life cycle cost assessment system for power grid equipment. Through the acquisition end, the various costs of power grid equipment can be reasonably estimated and quantified, and a reliable cost value can be given for reference based on the quantified results. When making cost estimates, it effectively draws on the specific performance of the same equipment in the past, and eliminates some disorder factors based on relevant screening models, which can more accurately estimate real-time costs. At the same time, according to the acquisition end and the processing end, alternative equipment combinations that can perform the same function are given, and the combined cost evaluation is flexibly given, and the best solution is comprehensively given, which can reasonably analyze the power grid equipment in the planning stage.

[0004] Although the above technical solution solves some problems, there are still some problems. For example, the existing power grid equipment is prone to abnormal aging due to different usage time and load, which leads to increased energy consumption and failure probability of the power grid. The increase in operating costs makes the results of the full life cycle cost evaluation analysis of the power grid equipment inaccurate. Summary of the invention

[0005] The purpose of the present invention is to solve the problem and to propose a power grid asset cost evaluation and analysis system based on multi-parameter regulation.

[0006] In the first aspect of the implementation of the present invention, a power grid asset cost evaluation and analysis system based on multi-parameter regulation is first proposed, and the method includes: an asset data acquisition module, an aging coefficient acquisition module, a maintenance cost determination module, a cost update module and an asset data acquisition module:

[0007] The asset data acquisition module is used to acquire the full life cycle cost of each power grid device in the target area to obtain the full life cycle cost set of each power grid device; the full life cycle cost includes: purchase cost, operation and maintenance cost and scrapping cost; the operation and maintenance cost includes: maintenance cost and operating cost;

[0008] The aging coefficient acquisition module is used to obtain the theoretical life and service life of the target power grid device, and obtain the operating data of the target power grid device, and calculate the aging coefficient of the target power grid device according to the operating data; the target power grid device is one of the power grid devices;

[0009] The maintenance cost determination module is used to calculate the remaining service life of the target power grid equipment according to the theoretical service life, the service life and the aging coefficient, determine a target maintenance plan for the target power grid equipment according to the remaining service life, and determine a target maintenance cost according to the target maintenance plan;

[0010] The cost updating module is used to correct the target operating cost of the target power grid equipment according to the aging coefficient, and calculate the target life cycle cost according to the purchase cost, the target operating cost, the target maintenance cost and the scrapping cost;

[0011] The asset data acquisition module is used to update the full life cycle cost set according to each target full life cycle cost and perform full life cycle cost evaluation and analysis of power grid assets.

[0012] Optionally, the aging coefficient acquisition module includes: an aging coefficient calculation module:

[0013] The aging coefficient calculation module is used to calculate the aging coefficient by using the aging coefficient calculation formula to obtain the aging coefficient; the operating data includes: the power conversion efficiency, operating temperature and maintenance times of the target power grid equipment;

[0014] Aging coefficient calculation formula:

[0015]

[0016] Among them, L is the aging coefficient, E is the power conversion efficiency of the target power grid equipment, T is the operating temperature of the target power grid equipment, W is the number of maintenance times of the target power grid equipment within the preset time period, and α and β are weight coefficients, both of which are not zero.

[0017] Optionally, the maintenance cost determination module includes: a remaining life calculation module:

[0018] The remaining life calculation module is used to calculate the theoretical life, the service life and the aging coefficient through the asset life formula to obtain the remaining service life;

[0019] Asset life formula:

[0020]

[0021] Among them, Z is the remaining service life, LS is the theoretical life, SS is the service life, and L is the aging coefficient.

[0022] Optionally, the maintenance cost determination module includes: a maintenance plan determination module, a first module, a second module, a third module and a fourth module:

[0023] The maintenance plan determination module is used to determine whether the target power grid equipment is a critical power grid equipment, and determine a target maintenance plan according to the remaining service life of the target power grid equipment;

[0024] The first module is used to determine that the target maintenance plan of the target power grid equipment is maintenance if the target power grid equipment is a critical power grid equipment and the remaining service life is greater than a usage threshold;

[0025] The second module is used to determine that the target maintenance plan of the target power grid equipment is replacement if the target power grid equipment is a critical power grid equipment and the remaining service life is less than the usage threshold;

[0026] The third module is used to determine that the target maintenance plan of the target power grid device is maintenance if the target power grid device is a non-critical power grid device and the remaining service life is greater than a basic threshold;

[0027] The fourth module is used to determine that the target maintenance plan of the target power grid device is replacement if the target power grid device is non-critical power grid equipment and the remaining service life is less than a basic threshold.

[0028] Optionally, the maintenance plan determination module includes: an impact coefficient determination module, a key asset judgment module and a key asset determination module:

[0029] The influence coefficient determination module is used to obtain the number of devices affected when the target power grid device is damaged and the total number of devices connected to the target power grid device, and use the ratio of the number of affected devices to the total number of devices as the influence coefficient of the target power grid device;

[0030] The key asset judgment module is used to determine whether the target power grid equipment is a key power grid equipment according to the purchase cost of the target power grid equipment and the influence coefficient of the target power grid equipment;

[0031] The key asset determination module is used to determine the target power grid equipment as a key power grid equipment if the purchase cost of the target power grid equipment is greater than a purchase cost threshold, or the influence coefficient of the target power grid equipment is greater than an influence coefficient threshold.

[0032] Optionally, the key asset determination module includes: a threshold determination module:

[0033] The threshold determination module is used to determine the usage threshold according to the ratio of the increase in the purchase cost of the target power grid equipment to the increase in the impact coefficient.

[0034] Optionally, the cost updating module further includes: an operating cost correction module:

[0035] The operating cost correction module is used to correct the target operating cost of the target power grid equipment through an operating cost correction formula;

[0036] Operating cost correction formula:

[0037]

[0038] Among them, Y C is the target operating cost, C eff is the efficiency loss cost, C out is the power outage loss cost, C safe is the safety management cost, C fin For financial reserve, is the basic efficiency loss cost of the equipment, e is the natural constant, L is the aging coefficient, t1 is the operating time of the target power grid equipment, is the power outage loss cost per unit time, and t2 is the average failure time.

[0039] Beneficial effects of the present invention:

[0040] The present invention proposes a power grid asset cost evaluation and analysis system based on multi-parameter regulation, which obtains the life cycle cost of each power grid device in the target area to obtain the life cycle cost set; obtains the theoretical life and service life and operation data of the target power grid device, and calculates the aging coefficient according to the operation data; calculates the remaining service life according to the theoretical life, service life and aging coefficient, determines the target maintenance plan according to the remaining service life, and determines the target maintenance cost according to the target maintenance plan; corrects the target operating cost of the target power grid device according to the aging coefficient, calculates the target life cycle cost; updates the life cycle cost set according to each target life cycle cost, and performs the life cycle cost evaluation and analysis of the power grid asset. The influence of power grid equipment aging is reduced, the operation and maintenance cost is corrected, and the cost analysis is more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The present invention will be further described below in conjunction with the accompanying drawings.

[0042] Figure 1 A framework diagram of a power grid asset cost evaluation and analysis system based on multi-parameter regulation is provided for an embodiment of the present invention;

[0043] Figure 2 A management flow chart for the entire life cycle of power grid assets is provided for an embodiment of the present invention. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. The term "and / or" herein is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the present invention, the description of "first", "second", etc. is only used for descriptive purposes, and cannot be understood as indicating or implying its relative influence coefficient or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" can explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of ordinary technicians in the field to achieve it. When the combination of technical solutions is contradictory or cannot be achieved, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0045] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative work shall fall within the scope of protection of the present invention.

[0046] The embodiment of the present invention provides a power grid asset cost evaluation and analysis system based on multi-parameter regulation. Figure 1 , Figure 1 A framework diagram of a power grid asset cost evaluation and analysis system based on multi-parameter regulation provided in an embodiment of the present invention. The system includes the following modules:

[0047] An asset data acquisition module is used to acquire the full life cycle cost of each power grid device in the target area and obtain the full life cycle cost set of each power grid device;

[0048] The aging coefficient acquisition module is used to obtain the theoretical life and service life of the target power grid equipment, and obtain the operating data of the target power grid equipment, and calculate the aging coefficient of the target power grid equipment according to the operating data.

[0049] The maintenance cost determination module is used to calculate the remaining service life of the target power grid equipment based on the theoretical life, service life and aging coefficient, determine the target maintenance plan of the target power grid equipment based on the remaining service life, and determine the target maintenance cost based on the target maintenance plan.

[0050] The cost update module is used to correct the target operating cost of the target power grid equipment according to the aging coefficient, and calculate the target full life cycle cost according to the purchase cost, target operating cost, target maintenance cost and scrapping cost.

[0051] The asset data acquisition module is used to update the full life cycle cost set according to each target full life cycle cost and conduct full life cycle cost evaluation and analysis of power grid assets.

[0052] The full life cycle cost includes: purchase cost, operation and maintenance cost and scrapping cost; the operation and maintenance cost includes: repair cost and operating cost; the target power grid equipment is one of the power grid equipment.

[0053] A power grid asset cost evaluation and analysis system based on multi-parameter regulation provided in an embodiment of the present invention obtains an aging coefficient by calculation, corrects the operation and maintenance cost, reduces the impact of power grid equipment aging, and corrects the operation and maintenance cost to make the cost analysis more accurate.

[0054] In one implementation, the grid assets include various grid equipment, which can be various equipment in the grid environment, such as asset equipment such as transformers; the theoretical life is the theoretical usage time of the grid equipment when it leaves the factory; the service life is the actual usage time of the grid equipment; the full life cycle cost assessment and analysis of the grid assets is an analysis of the cost of the updated full life cycle cost set.

[0055] In one implementation, the operation and maintenance costs include: repair costs and operating costs; the operating costs also include personnel training costs, and the equipment costs required by various personnel, etc.; the scrapping costs include equipment disposal fees, equipment residual value fees, etc.

[0056] In one implementation method, the full life cycle cost of the power grid assets is the full life cycle of each power grid equipment from the initial installation to the dismantling of all power grid equipment in the target area; the full life cycle cost evaluation analysis, for example: AC (Acquisition Cost) is the purchase cost, and MC (Maintenance Cost) is the maintenance cost. Based on usage experience, power grid companies generally divide acquisition costs into procurement costs (Procurement Cost, PC) and construction costs (Investment Costs, IC). Maintenance costs can be further decomposed into operation costs (OC), overhaul and maintenance costs (OMC), failure loss costs (FC) and the sum of retirement and disposal costs (DC). Therefore, the LCC model in power grid companies can be expressed as follows: LCC = PC + IC + OC + OMC + FC + DC; Life cycle cost = acquisition cost + operation and maintenance cost + scrapping cost, among which, acquisition cost and scrapping cost are consistent with AC and DC in the above example, and operation and maintenance costs include the above OC, OMC and FC.

[0057] In one implementation, see Figure 2 , Figure 2 A management flow chart of the entire life cycle of power grid assets is provided for an embodiment of the present invention; Figure 2 The stages include: design and planning stage, procurement and construction stage, operation and maintenance stage, and decommissioning and disposal stage; among them, the design and planning stage includes: power grid planning, project approval, annual plan, engineering design and asset planning; the procurement and construction stage includes: project approval, commissioning and operation, bidding; the operation and maintenance stage includes: operation detection, inspection and repair, and fault repair; the decommissioning and disposal stage includes: technical transformation and asset scrapping; the design and planning stage, procurement and construction stage, operation and maintenance stage, and decommissioning and disposal stage are used to assess asset risks and status, and the asset strategy is determined by the asset risk and status assessment; among them, the design and planning stage and procurement and construction stage are equivalent to the purchase cost, the operation and maintenance stage is equivalent to the operation and maintenance cost, and the decommissioning and disposal stage is equivalent to the scrapping cost.

[0058] In one embodiment, the aging coefficient acquisition module includes: an aging coefficient calculation module:

[0059] An aging coefficient calculation module is used to calculate the aging coefficient by using the aging coefficient calculation formula to obtain the aging coefficient; the operating data includes: the power conversion efficiency, operating temperature and maintenance times of the target power grid equipment;

[0060] Aging coefficient calculation formula:

[0061]

[0062] Among them, L is the aging coefficient, E is the power conversion efficiency of the target power grid equipment, T is the operating temperature of the target power grid equipment, W is the number of maintenance times of the target power grid equipment within the preset time period, and α and β are weight coefficients, both of which are not zero.

[0063] In one implementation, the values ​​of E, T and W are all pre-processed and dimensionless, E is the power conversion efficiency of the target power grid equipment, that is, the power conversion efficiency within a preset time period, and T is the operating temperature of the target power grid equipment within the preset time period; wherein, if the power conversion efficiency is higher, it means that the power grid equipment is newer and has better working capacity; if the power grid equipment is repaired more times and the heat is more serious, the aging of the power grid equipment is more serious, that is, the larger L is, the more serious the aging of the power grid equipment is.

[0064] In one embodiment, the maintenance cost determination module includes: a remaining life calculation module:

[0065] The remaining life calculation module is used to calculate the remaining life by using the asset life formula to calculate the theoretical life, service life and aging coefficient;

[0066] Asset life formula:

[0067]

[0068] Among them, Z is the remaining service life, LS is the theoretical life, SS is the service life, and L is the aging coefficient.

[0069] In one implementation, the service life of power grid equipment often fails to meet the use standards due to the influence of the use environment and the use load. That is to say, the power grid equipment will age abnormally, resulting in a shortened service life. The use time of the power grid equipment is modified by the aging coefficient. When L is larger, that is, the aging coefficient is larger, the remaining service life of the power grid equipment will be sharply shortened until it is scrapped. Multiple parameters include: aging coefficient, electric energy conversion efficiency of target power grid equipment, operating temperature of target power grid equipment, number of maintenance times of target power grid equipment within a preset time period, remaining service life, theoretical life, and service life.

[0070] In one embodiment, the maintenance cost determination module includes: a maintenance plan determination module, a first module, a second module, a third module and a fourth module:

[0071] A maintenance plan determination module is used to determine whether the target power grid equipment is a critical power grid equipment and determine a target maintenance plan according to the remaining service life of the target power grid equipment;

[0072] The first module is used to determine that the target maintenance plan of the target power grid equipment is maintenance if the target power grid equipment is a critical power grid equipment and the remaining service life is greater than the usage threshold;

[0073] The second module is used to determine that the target maintenance plan of the target power grid equipment is replacement if the target power grid equipment is a critical power grid equipment and the remaining service life is less than the usage threshold;

[0074] The third module is used to determine that the target maintenance plan of the target power grid equipment is maintenance if the target power grid equipment is non-critical power grid equipment and the remaining service life is greater than the basic threshold;

[0075] The fourth module is used to determine that the target maintenance plan of the target power grid equipment is replacement if the target power grid equipment is non-critical power grid equipment and the remaining service life is less than the basic threshold.

[0076] In one implementation, the threshold for comparing the remaining useful life includes two thresholds, one is the usage threshold for comparing critical power grid equipment, and the other is the basic threshold for comparing non-critical power grid equipment; wherein the usage threshold changes dynamically; the basic threshold is fixed and is determined by actual conditions, for example: the basic threshold is that the theoretical life of the power grid equipment is ten years, and it is replaced three months before the tenth year, then the basic threshold is three months.

[0077] In one implementation, if the target power grid equipment is a critical power grid equipment and the remaining service life is less than the usage threshold, the target maintenance plan for the target power grid equipment is determined to be replacement; that is, unnecessary maintenance costs are reduced through replacement and the reliability of the power grid equipment is increased; the maintenance plan includes: replacement and maintenance, where maintenance is the maintenance of the power grid equipment and replacement is the replacement of the power grid equipment.

[0078] In one implementation, since the impact coefficient of non-critical grid equipment is poor and the impact on the grid is small, choosing repair or maintenance can reduce repair costs; the repair cost is determined according to the repair plan, for example: if the repair plan is replacement, the various costs of replacing the equipment will be used as the repair cost.

[0079] In one embodiment, the maintenance plan determination module includes: an impact coefficient determination module, a key asset judgment module and a key asset determination module:

[0080] An influence coefficient determination module is used to obtain the number of devices affected when the target power grid device is damaged and the total number of devices connected to the target power grid device, and use the ratio of the number of affected devices to the total number of devices as the influence coefficient of the target power grid device;

[0081] A key asset judgment module is used to judge whether the target power grid equipment is a key power grid equipment according to the purchase cost of the target power grid equipment and the influence coefficient of the target power grid equipment;

[0082] The key asset determination module is used to determine the target power grid equipment as a key power grid equipment if the purchase cost of the target power grid equipment is greater than the purchase cost threshold, or the influence coefficient of the target power grid equipment is greater than the influence coefficient threshold.

[0083] In one implementation, based on the number of devices affected when the target power grid equipment is damaged and the total number of devices connected to the target power grid equipment, the ratio of the number of affected devices to the total number of devices is used as the impact coefficient of the target power grid equipment; that is, (the number of assets affected when the target power grid equipment is damaged ÷ the total number of assets connected to the target power grid equipment), which is used to quantitatively evaluate the impact coefficient of the target power grid equipment. The larger the above ratio is, the more devices are affected, and therefore, the greater the impact coefficient of the power grid equipment.

[0084] In one implementation, if the purchase cost of the target power grid equipment is greater than the purchase cost threshold, or the impact coefficient of the target power grid equipment is also greater than the impact coefficient threshold, the target power grid equipment is determined to be a critical power grid equipment; that is, if any one of the conditions is met, the target power grid equipment is determined to be a critical power grid equipment.

[0085] In one embodiment, the key asset determination module includes: a threshold determination module:

[0086] The threshold determination module is used to determine the use threshold according to the ratio of the increase in the purchase cost of the target power grid equipment to the increase in the impact coefficient.

[0087] In one implementation, the increase in the target grid equipment purchase cost is (target grid equipment purchase cost-average equipment purchase cost) ÷ average equipment purchase cost = increase in the target grid equipment purchase cost, wherein the equipment in the average equipment purchase cost is of the same type as the target grid equipment.

[0088] In one implementation, the increase in the influence coefficient is (the influence coefficient of the target power grid equipment - the average value of the equipment influence coefficient) ÷ the average value of the equipment influence coefficient = the increase in the influence coefficient, wherein the equipment in the average value of the equipment influence coefficient is of the same type as the target power grid equipment.

[0089] In one implementation, the use threshold is determined according to the ratio of the increase in the purchase cost of the target power grid equipment and the increase in the impact coefficient; wherein, in the first case: when the increase in the impact coefficient is positive, the increase in the purchase cost of the target power grid equipment is positive; in the second case: when the increase in the impact coefficient is negative, the increase in the purchase cost of the target power grid equipment is positive; the first and second cases above are applicable to the formula: (increase in the impact coefficient ÷ increase in the purchase cost of the target power grid equipment) × basic threshold = use threshold;

[0090] The third case: when the increase in the impact coefficient is positive, the increase in the target power grid equipment purchase cost is negative; the fourth case: when the increase in the impact coefficient is negative, the increase in the target power grid equipment purchase cost is negative; the third and fourth cases above are subject to the formula: (-increase in impact coefficient ÷ increase in target power grid equipment purchase cost) × basic threshold = usage threshold.

[0091] For example: in the first case, when the ratio is 2 and the basic threshold is 3 months, the usage threshold is 6 months, which means: the equipment is replaced within the first six months of the theoretical life; in the second case, when the ratio is -2 and the basic threshold is 3 months, the usage threshold is -6 months, which means: the theoretical life is ten years, which means that the power grid equipment is replaced by six months on the basis of the theoretical life, that is, the theoretical life is ten years and six months; in the third case, when the ratio is 2 and the basic threshold is 3 months, the usage threshold is 6 months, which means: the equipment is replaced within the first six months of the theoretical life; in the fourth case, when the ratio is 2 and the basic threshold is 3 months, the usage threshold is -6 months, which means: the power grid equipment is replaced by six months on the basis of the theoretical life, that is, the theoretical life is ten years and six months.

[0092] When the increase in the impact coefficient is positive, it means that the importance of the power grid equipment is very high. When the increase in the purchase cost of the target power grid equipment is positive, it means that the cost of the power grid equipment is very expensive. Therefore, by dynamically adjusting the usage threshold, while reducing the replacement cost as much as possible, the working effect of the power grid equipment is increased. That is, the probability of damage to the power grid equipment is reduced to ensure the stability of the power grid, thereby achieving the effect of reducing costs and increasing efficiency.

[0093] In one embodiment, the cost update module further includes: an operation cost correction module:

[0094] An operating cost correction module, used for correcting the target operating cost of the target power grid equipment through an operating cost correction formula;

[0095] Operating cost correction formula:

[0096]

[0097] Among them, Y C is the target operating cost, C effis the efficiency loss cost, C out is the power outage loss cost, C safe is the safety management cost, C fin For financial reserve, is the basic efficiency loss cost of the equipment, e is the natural constant, L is the aging coefficient, t1 is the operating time of the target power grid equipment, is the power outage loss cost per unit time, and t2 is the average failure time.

[0098] In one implementation, because the aging of the equipment causes the energy conversion efficiency of the equipment to decrease, the equipment connected to the equipment will also be affected, causing the energy conversion efficiency of the surrounding equipment to decrease. Therefore, the operating cost can be corrected through correction to ensure the accuracy of the data.

[0099] In one implementation, C fin For financial capital reserve, that is, the basic project funds used for operation; C safe Safety management costs, that is, costs for safety, such as safety helmets, insulating gloves, etc.; C out is the power outage loss cost, that is, the economic loss caused by power outage within the preset time period; C eff Loss of efficiency costs are the costs incurred due to the loss of productivity or output efficiency caused by the degradation of equipment performance over time. This cost is usually related to the aging of equipment, wear and tear, or technological obsolescence.

[0100] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A power grid asset cost evaluation and analysis system based on multi-parameter regulation, characterized in that: The system comprises: an asset data acquisition module, an aging coefficient acquisition module, a maintenance cost determination module, a cost update module and an asset data acquisition module: The asset data acquisition module is used to acquire the full life cycle cost of each power grid device in the target area to obtain the full life cycle cost set of each power grid device; The full life cycle cost includes: purchase cost, operation and maintenance cost and scrapping cost; the operation and maintenance cost includes: repair cost and operating cost; The aging coefficient acquisition module is used to obtain the theoretical life and service life of the target power grid device, and obtain the operating data of the target power grid device, and calculate the aging coefficient of the target power grid device according to the operating data; the target power grid device is one of the power grid devices; The maintenance cost determination module is used to calculate the remaining service life of the target power grid equipment according to the theoretical service life, the service life and the aging coefficient, determine a target maintenance plan for the target power grid equipment according to the remaining service life, and determine a target maintenance cost according to the target maintenance plan; The cost updating module is used to correct the target operating cost of the target power grid equipment according to the aging coefficient, and calculate the target life cycle cost according to the purchase cost, the target operating cost, the target maintenance cost and the scrapping cost; The asset data acquisition module is used to update the full life cycle cost set according to each target full life cycle cost and perform full life cycle cost evaluation and analysis of power grid assets.

2. A power grid asset cost evaluation and analysis system based on multi-parameter regulation according to claim 1, characterized in that: The aging coefficient acquisition module includes: an aging coefficient calculation module: The aging coefficient calculation module is used to calculate the aging coefficient by using the aging coefficient calculation formula to obtain the aging coefficient; the operating data includes: the power conversion efficiency, operating temperature and maintenance times of the target power grid equipment; Aging coefficient calculation formula: Among them, L is the aging coefficient, E is the power conversion efficiency of the target power grid equipment, T is the operating temperature of the target power grid equipment, W is the number of maintenance times of the target power grid equipment within the preset time period, and α and β are weight coefficients, both of which are not zero.

3. A power grid asset cost evaluation and analysis system based on multi-parameter regulation according to claim 1, characterized in that: The maintenance cost determination module includes: a remaining life calculation module: The remaining life calculation module is used to calculate the theoretical life, the service life and the aging coefficient through the asset life formula to obtain the remaining service life; Asset life formula: Among them, Z is the remaining service life, LS is the theoretical life, SS is the service life, and L is the aging coefficient.

4. A power grid asset cost evaluation and analysis system based on multi-parameter regulation according to claim 1, characterized in that: The maintenance cost determination module includes: a maintenance plan determination module, a first module, a second module, a third module and a fourth module: The maintenance plan determination module is used to determine whether the target power grid equipment is a critical power grid equipment, and determine a target maintenance plan according to the remaining service life of the target power grid equipment; The first module is used to determine that the target maintenance plan of the target power grid equipment is maintenance if the target power grid equipment is a critical power grid equipment and the remaining service life is greater than a usage threshold; The second module is used to determine that the target maintenance plan of the target power grid equipment is replacement if the target power grid equipment is a critical power grid equipment and the remaining service life is less than the usage threshold; The third module is used to determine that the target maintenance plan of the target power grid device is maintenance if the target power grid device is a non-critical power grid device and the remaining service life is greater than a basic threshold; The fourth module is used to determine that the target maintenance plan of the target power grid device is replacement if the target power grid device is non-critical power grid equipment and the remaining service life is less than a basic threshold.

5. A power grid asset cost evaluation and analysis system based on multi-parameter regulation according to claim 4, characterized in that: The maintenance plan determination module includes: an impact coefficient determination module, a key asset judgment module and a key asset determination module: The influence coefficient determination module is used to obtain the number of devices affected when the target power grid device is damaged and the total number of devices connected to the target power grid device, and use the ratio of the number of affected devices to the total number of devices as the influence coefficient of the target power grid device; The key asset judgment module is used to determine whether the target power grid equipment is a key power grid equipment according to the purchase cost of the target power grid equipment and the influence coefficient of the target power grid equipment; The key asset determination module is used to determine the target power grid equipment as a key power grid equipment if the purchase cost of the target power grid equipment is greater than a purchase cost threshold, or the influence coefficient of the target power grid equipment is greater than an influence coefficient threshold.

6. A power grid asset cost evaluation and analysis system based on multi-parameter regulation according to claim 5, characterized in that: The key asset determination module includes: a threshold determination module: The threshold determination module is used to determine the usage threshold according to the ratio of the increase in the purchase cost of the target power grid equipment to the increase in the impact coefficient.

7. A power grid asset cost evaluation and analysis system based on multi-parameter regulation according to claim 1, characterized in that: The cost updating module also includes: an operating cost correction module: The operating cost correction module is used to correct the target operating cost of the target power grid equipment through an operating cost correction formula; Operating cost correction formula: Among them, Y C is the target operating cost, C eff is the efficiency loss cost, C out is the power outage loss cost, C safe is the safety management cost, C fin For financial reserve, is the basic efficiency loss cost of the equipment, e is the natural constant, L is the aging coefficient, t1 is the operating time of the target power grid equipment, is the power outage loss cost per unit time, and t2 is the average failure time.

Images