CN109063859B - Power grid equipment maintenance optimization processing method and device - Google Patents
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Abstract
The application relates to a power grid equipment overhaul optimization processing method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a plurality of maintenance indexes corresponding to equipment to be maintained, wherein the maintenance indexes comprise efficiency and maintenance cost; constructing an optimization target corresponding to the equipment to be overhauled by using the efficiency and the overhaul cost; constructing a constraint condition of the optimization target; generating a maintenance optimization model according to the optimization target and the constraint condition; and utilizing the overhaul optimization model to overhaul the optimization target. By constructing the optimization target of the equipment to be overhauled, the optimization target is overhauled on the premise of ensuring safety, compared with the prior art, all power grid equipment does not need to be turned off any more to be overhauled one by one, and the workload of a large amount of overhauling and maintenance is reduced, so that the overhauling cost is effectively reduced.
Description
Technical Field
The application relates to the technical field of smart power grids, in particular to a power grid equipment overhaul optimization processing method and device, computer equipment and a storage medium.
Background
With the development of power technology, the scale of the power grid is continuously enlarged, the number of power grid equipment is rapidly increased, and the maintenance work of the power grid equipment becomes a difficult problem. The traditional power grid equipment maintenance mode generally adopts a regular maintenance mode, and the regular maintenance mode is to regularly carry out power failure maintenance work on all power grid equipment according to a specified maintenance period, stop the operation of all power grid equipment and check one by one.
However, because of the increase in the number of grid devices, the repair and maintenance workload of such a periodic repair method also increases, thereby causing an increase in many unnecessary repair costs.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a power grid equipment maintenance optimization method, device, computer equipment, and storage medium capable of reducing maintenance cost.
A power grid equipment overhaul optimization processing method comprises the following steps:
acquiring a plurality of maintenance indexes corresponding to equipment to be maintained, wherein the maintenance indexes comprise efficiency and maintenance cost;
constructing an optimization target corresponding to the equipment to be overhauled by using the efficiency and the overhaul cost;
constructing a constraint condition of the optimization target;
generating a maintenance optimization model according to the optimization target and the constraint condition;
and utilizing the overhaul optimization model to overhaul the optimization target.
In one embodiment, the constructing an optimization goal corresponding to the equipment to be overhauled by using the efficiency and the overhaul cost comprises:
calculating the efficiency cost ratio of single overhaul by using the efficiency and the overhaul cost;
sequencing the efficiency cost ratios of the equipment to be overhauled;
and generating a sequence corresponding to the optimization target by using the sequencing result.
In one embodiment, the calculating the efficiency-cost ratio for a single overhaul using the efficiency and the overhaul cost includes:
acquiring the efficiency corresponding to the equipment to be overhauled, wherein the efficiency comprises a first efficiency and a second efficiency;
calculating an efficiency change value of the equipment to be overhauled according to the first efficiency and the second efficiency;
acquiring the maintenance cost of the equipment to be maintained;
and calculating the efficiency cost ratio of the equipment to be overhauled according to the efficiency change value and the overhaul cost.
In one embodiment, the calculating the efficiency-cost ratio for a single overhaul using the efficiency and the overhaul cost includes:
wherein E (n) represents the efficiency of the equipment to be overhauled before single overhaul, E' (n) represents the efficiency of the equipment to be overhauled after single overhaul, and LmAnd (n) represents the maintenance cost of single maintenance of the equipment to be maintained.
In one embodiment, the obtaining the effectiveness of the equipment to be overhauled includes:
acquiring power information of the equipment to be overhauled, wherein the power information comprises active power and reactive power;
and calculating the efficiency of the equipment to be overhauled according to the active power and the reactive power.
In one embodiment, the calculating the effectiveness of the equipment to be overhauled according to the active power and the reactive power includes:
wherein p isn(t) represents the active power of the equipment to be overhauled, qn(t) represents the reactive power of the equipment to be overhauled, kn1Representing the efficiency coefficient, k, corresponding to the active power of the equipment to be overhauledn2Representing a coefficient of performance, MTTF, corresponding to the reactive power of the equipment to be overhaulednIndicating the life expectancy of the equipment to be overhauled.
In one embodiment, the constraint condition for constructing the optimization goal includes:
constructing transmission limit constraints by utilizing the output power flow of the power plant in the region of the equipment to be overhauled and the line transfer distribution factor of the power plant;
constructing voltage constraint by using the voltage of the distribution network node in the area where the equipment to be overhauled is located;
and constructing output constraint of the generator in the region by using the output power of the generator in the region of the equipment to be overhauled.
A power grid equipment overhaul optimization processing device, the device comprising:
the maintenance index acquisition module is used for acquiring a plurality of maintenance indexes corresponding to the equipment to be maintained, and the maintenance indexes comprise efficiency and maintenance cost;
the optimization target construction module is used for constructing an optimization target corresponding to the equipment to be overhauled by utilizing the efficiency and the overhaul cost;
the constraint condition construction module is used for constructing the constraint condition of the optimization target;
the model generation module is used for generating a maintenance optimization model according to the optimization target and the constraint condition;
and the maintenance module is used for maintaining the optimized target by utilizing the maintenance optimization model.
A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the above method when executing the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method.
According to the power grid equipment maintenance optimization processing method and device, the computer equipment and the storage medium, the optimization target corresponding to the equipment to be maintained is constructed by using the multiple maintenance indexes corresponding to the equipment to be maintained, the constraint condition of the optimization target is constructed, the maintenance optimization model is generated, and the maintenance optimization model is used for maintaining the optimization target. By constructing the optimization target of the equipment to be overhauled, the optimization target is overhauled on the premise of ensuring safety, compared with the prior art, all power grid equipment does not need to be turned off any more to be overhauled one by one, and the workload of a large amount of overhauling and maintenance is reduced, so that the overhauling cost is effectively reduced.
Drawings
FIG. 1 is a schematic flow chart of a power grid equipment overhaul optimization processing method in one embodiment;
FIG. 2 is a flowchart illustrating steps of constructing an optimization objective corresponding to a device to be overhauled using efficiency and overhaul costs according to an embodiment;
FIG. 3 is a flow chart illustrating the steps of calculating the cost/efficiency ratio for a single overhaul using the cost/efficiency and the overhaul cost in one embodiment;
FIG. 4 is a schematic flow chart illustrating a step of obtaining performance corresponding to equipment to be overhauled in one embodiment;
FIG. 5 is a schematic flow chart diagram illustrating the constraint step of building an optimization objective in one embodiment;
FIG. 6 is a schematic structural diagram of a power grid equipment overhaul optimization processing device in one embodiment;
FIG. 7 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In one embodiment, as shown in fig. 1, there is provided a grid equipment overhaul optimization processing method, including the following steps:
The equipment to be overhauled refers to all power grid equipment to be overhauled, and the power grid equipment comprises all power equipment required by the power grid in the processes of voltage transmission, voltage distribution, voltage change and the like. The power grid platform can obtain a plurality of maintenance indexes corresponding to the equipment to be maintained through the equipment to be maintained, and the maintenance indexes include but are not limited to efficiency and maintenance cost.
And 104, constructing an optimization target corresponding to the equipment to be overhauled by using the efficiency and the overhaul cost.
The optimization target corresponding to the equipment to be overhauled is an object to be preferentially processed in the equipment to be overhauled, the power grid equipment which is low in investment cost and obtains large benefit can be obtained in all the equipment to be overhauled, and the power grid platform utilizes the obtained efficiency and overhaul cost of the equipment to be overhauled to construct the optimization target corresponding to the equipment to be overhauled.
And 106, constructing constraint conditions of the optimization target.
After the power grid platform determines an optimization target, constraint conditions corresponding to the optimization target are constructed, wherein the constraint conditions include but are not limited to transmission limit constraints, voltage constraints and generator output constraints in a region.
And 108, generating a maintenance optimization model according to the optimization target and the constraint condition.
The power grid platform generates a maintenance optimization model through an optimization target corresponding to the equipment to be maintained and constraint conditions corresponding to the optimization target which are constructed in a simultaneous manner, and the maintenance optimization model can be expressed as follows:
min:F＝[V1,V2…VN]
wherein F is an objective function, namely an optimization objective corresponding to the equipment to be overhauled, [ V ]1，V2…VN]The number sequence is arranged for the equipment to be overhauled, and N is the total number of the equipment to be overhauled; s.t. constraint condition for optimization goal, specifically, | Xt,j|≤Xmax,jIn order to optimize the transmission limit constraints of the target,
in order to optimize the voltage constraints of the target,
in order to restrict the output of the generator in the region,
respectively is the upper limit and the lower limit of the active output of the generator set in the regional distribution network,
the upper limit and the lower limit of reactive power output of the generator set in the regional distribution network are respectively.
The power grid platform generates a maintenance optimization model by taking the optimization target as a target function and the constraint condition of the optimization target as a limiting condition, and simultaneously establishing the optimization target and the constraint condition.
And 110, overhauling the optimization target by using the overhauling optimization model.
And solving the maintenance optimization model to obtain a result which is the maintenance scheme of the power grid equipment in the feasible region, and maintaining the optimization target according to the solution result of the maintenance optimization model, namely the power grid equipment maintenance optimization scheme.
According to the power grid equipment maintenance optimization processing method, the optimization target corresponding to the equipment to be maintained is constructed by using a plurality of maintenance indexes corresponding to the equipment to be maintained, the constraint condition of the optimization target is constructed, the maintenance optimization model is generated, and the maintenance optimization model is used for maintaining the optimization target. By constructing the optimization target of the equipment to be overhauled, the optimization target is overhauled on the premise of ensuring safety, compared with the prior art, all power grid equipment does not need to be turned off any more to be overhauled one by one, and the workload of a large amount of overhauling and maintenance is reduced, so that the overhauling cost is effectively reduced.
In one embodiment, as shown in fig. 2, the step 104 of constructing an optimization goal corresponding to the equipment to be overhauled by using the efficiency and the overhaul cost includes:
The power grid platform calculates the efficiency cost ratio of the equipment to be overhauled in a single overhaul by using the obtained overhaul indexes of the equipment to be overhauled, wherein the efficiency cost ratio can be used for evaluating the overhaul working value of the equipment to be overhauled in the single overhaul, and the larger the efficiency cost ratio of the equipment to be overhauled is, the larger the single overhaul working value of the equipment to be overhauled is, namely, the less cost can be input into the equipment to be overhauled in the single overhaul to obtain larger benefits; the smaller the efficiency cost ratio of the equipment to be overhauled is, the smaller the single overhauling working value of the equipment to be overhauled is, namely, the more the cost of the equipment to be overhauled is invested in the single overhauling process or the greater benefit cannot be obtained.
And step 204, sequencing the efficiency cost ratios of the multiple devices to be overhauled.
And calculating the efficiency cost ratios of the equipment to be overhauled, and sequencing the efficiency cost ratios from large to small or from small to large. In an embodiment, a reference value may also be preset according to the performance, the overhaul cost, or the performance-cost ratio of the equipment to be overhauled according to the actual needs of the user, data of the performance, the overhaul cost, or the performance-cost ratio is screened according to the preset reference value, and the performance-cost ratios screened according to the actual needs of the user are sorted to obtain data screened according to the needs of the user.
And step 206, generating a sequence corresponding to the optimization target by using the sorting result.
Generating a sequence corresponding to an optimization target by using the sequencing result of the effectiveness cost ratio of the plurality of devices to be overhauled, wherein the sequence corresponding to the optimization target can be expressed as: f ═ V1,V2,V3,...,VN]Where N denotes the total number of devices to be overhauled, V1、V2、V3…VNI.e. the row of the equipment to be overhauled whose cost of effectiveness is greater than that of the row formed by arranging the equipment from large to small.
The sequence corresponding to the optimization targets is arranged from the efficiency cost of the equipment to be overhauled to the efficiency cost of the equipment to be overhauled from large to small, so that the higher the overhauling value of the equipment to be overhauled is, the more visual and clear the user can see which equipment to be overhauled has the higher overhauling value and which equipment to be overhauled has the lower overhauling value, and the user can select the optimization targets to be overhauled according to actual requirements to overhaul, so that the overhauling value is more clear and intuitive.
In one embodiment, as shown in fig. 3, the step 202 of calculating the performance-cost ratio of a single overhaul by using the performance and the overhaul costs comprises:
The power grid platform acquires the efficiency corresponding to the equipment to be overhauled, and the efficiency includes but is not limited to a first efficiency and a second efficiency. The first efficiency is the efficiency of the equipment to be overhauled before single overhaul, and the second efficiency is the efficiency of the equipment to be overhauled after single overhaul.
And 304, calculating the efficiency change value of the equipment to be overhauled according to the first efficiency and the second efficiency.
The power grid equipment calculates the efficiency change value of the equipment to be overhauled according to the first efficiency and the second efficiency of the equipment to be overhauled, namely the efficiency of the equipment to be overhauled after a single overhaul is subtracted from the efficiency of the equipment to be overhauled before the single overhaul, and the change value of the efficiency of the equipment to be overhauled before and after the single overhaul is obtained. And the efficiency change value of the equipment to be overhauled represents the efficiency of single overhaul of the equipment to be overhauled.
And step 306, acquiring the maintenance cost of the equipment to be maintained.
The power grid platform can acquire equipment information of the equipment to be overhauled, wherein the equipment information comprises but is not limited to equipment identification information and equipment state information, the power grid platform acquires corresponding overhaul cost from the historical database according to the equipment identification information and the equipment state information, the overhaul cost is used as the overhaul cost of single overhaul of the equipment to be overhauled, the actual production cost of the single overhaul of the equipment to be overhauled is recorded and stored in the historical database, and the overhaul cost of the equipment to be overhauled is guaranteed to be accurately evaluated by establishing the historical database.
In one embodiment, the power grid platform may also receive a maintenance cost value of the equipment to be maintained, which is input by a user, as the maintenance cost of the equipment to be maintained.
And 308, calculating the efficiency cost ratio of the equipment to be overhauled according to the efficiency change value and the overhaul cost.
And the power grid platform calculates the efficiency-cost ratio of the equipment to be overhauled according to the efficiency change value and the overhauling cost of the wading pen to be overhauled.
In one embodiment, the formula for calculating the efficiency-cost ratio of a single overhaul by using the efficiency and the overhaul cost comprises:
wherein E (n) represents the efficiency of the equipment to be overhauled before single overhaul, E' (n) represents the efficiency of the equipment to be overhauled after single overhaul, and LmAnd (n) represents the maintenance cost of single maintenance of the equipment to be maintained.
And dividing the efficiency change value before and after the equipment to be overhauled by the overhauling cost of the equipment to be overhauled to obtain the efficiency cost ratio V (n) of the equipment to be overhauled. The larger the efficiency cost ratio V (n), the better the maintenance benefit of the equipment to be overhauled, the smaller the efficiency cost ratio V (n), the worse the maintenance benefit of the equipment to be overhauled, and if the value of the efficiency cost ratio V (n) is less than 1, the cost of the single maintenance cost of the equipment to be overhauled is larger than the output efficiency. By calculating the efficiency cost ratio of the to-be-overhauled cost, the efficiency change of the to-be-overhauled equipment before and after single overhaul, namely the overhaul benefit, is considered; the maintenance cost of the equipment to be maintained is considered, and the value creation and maintenance cost of the equipment to be maintained are comprehensively considered.
In an embodiment, as shown in fig. 4, the step 302 of obtaining the corresponding performance of the equipment to be overhauled includes:
And step 404, calculating the efficiency of the equipment to be overhauled according to the active power and the reactive power.
The power information comprises active power and reactive power, and the power grid platform acquires the active power and the reactive power of the equipment to be overhauled. And calculating the efficiency of the equipment to be overhauled according to the active power and the reactive power.
In one embodiment, the power grid platform may obtain device information of the device to be overhauled, where the device information includes, but is not limited to, device identification information and device state information, extract performance corresponding to the device identification information and the device state information from a historical database, store the performance calculated from the power information in the historical database, and perform processing analysis on the performance corresponding to the same device identification information and device state information. By establishing the historical database, when the equipment needs to be overhauled, the efficiency of the equipment to be overhauled before and after single overhaul can be evaluated according to parameters such as the model and the state of the equipment, so that the equipment can be judged and evaluated.
In one embodiment, the calculation formula for calculating the efficiency of the equipment to be overhauled according to the active power and the reactive power comprises the following steps:
wherein p isn(t) represents the active power of the equipment to be overhauled, qn(t) reactive power, k, of the equipment to be servicedn1Efficiency coefficient, k, corresponding to the active power of the equipment to be overhauledn2Indicating reactive power correspondence of equipment to be overhauledEfficiency coefficient of (MTTF)nThe service life expectation of the equipment to be overhauled is shown, and the service life expectation refers to the service duration of the equipment to be overhauled.
Further, the service life expectancy MTTF of the equipment to be overhaulednThe service life expectation MTTF of the equipment to be overhauled can be obtained through the reliability function calculation of the equipment to be overhaulednThe calculation formula (2) includes:
wherein R isn(t) is the reliability function of the equipment to be overhauled, the reliability refers to the capability of the equipment to be overhauled to complete the specified function under the specified condition and within the specified time, and the reliability function Rn(t) the available time t is expressed as: r (T) ═ P (T)>T), wherein T represents a specified time, T represents the service life of the equipment to be overhauled, and P represents the probability that the equipment to be overhauled completes a specified function.
In the conventional method, the efficiency of the equipment is usually the ratio of the maximum load of the equipment to the rated load thereof, i.e. the maximum utilization rate, but the maximum load of the equipment is usually short in duration, and the efficiency of the equipment cannot be accurately represented by using the method. In the embodiment, the efficiency of the equipment to be overhauled is calculated by using the active power and the reactive power of the equipment to be overhauled, and the efficiency is the set of the expected power information of the whole service life of the equipment to be overhauled, so that the efficiency of the equipment to be overhauled can be more accurately expressed by using the active power and the reactive power of the equipment to be overhauled.
In one embodiment, as shown in FIG. 5, the step 106 of building the constraints of the optimization objective includes:
and 502, constructing transmission limit constraint by using the output power flow of the power plant in the region of the equipment to be overhauled and the line transfer distribution factor of the power plant.
And the power grid platform constructs transmission limit constraints by utilizing the output power flow of the power plant in the region of the equipment to be overhauled and the line transfer distribution factor of the power plant. The transmission limit constraints include, but are not limited to, a line transmission capacity constraint, a section transmission capacity constraint, and a transformer transmission capacity constraint, and it is understood that the transmission capacities of the line, the section, and the transformer can also be collectively expressed as a line transmission capacity.
In particular, the transmission limit constraint may be expressed as:
|Xt,j|≤Xmax,j,t＝1,2,...,T,j∈NL
the transmission limit of a line can be expressed as:
wherein, Xmax,jNamely the theoretical transmission limit of the line, the line with margin for the forward and reverse capacity of the line, and the actual transmission limit of the line is Xmax,jMultiplied by the margin ratio. Pi,tRepresenting the power flow of the power plant in the area of the equipment to be overhauled, Gj-iRepresenting the plant-to-line transfer distribution factor.
The transmission limit constraint is constructed to ensure that other power grid equipment cannot be out of limit when the equipment to be overhauled is overhauled, and the tripping of other power grid equipment due to out-of-limit can be effectively avoided, so that the whole power grid system is in linkage fault.
And step 504, constructing voltage constraint by using the voltage of the distribution network node in the area where the equipment to be overhauled is located.
The power grid platform utilizes the voltage of the distribution network node in the area where the equipment to be overhauled is located to construct voltage constraint, and specifically, the voltage constraint can be expressed as:
Vi min<Vi<Vi max
wherein, ViVoltage, V, representing the nodes of the distribution network in the area of the equipment to be overhauledi minRepresents the lower limit of the voltage of the distribution network node in the area of the equipment to be overhauled, Vi maxAnd the voltage upper limit of the distribution network node in the area of the equipment to be overhauled is shown.
The voltage constraint is constructed to ensure that the voltage amplitude of the distribution network node in the area where the equipment to be overhauled is located meets the requirement in the overhauling process, and the safe and stable operation of the power grid is ensured.
The power grid platform utilizes the output power of the generator in the region where the equipment to be overhauled is located to construct the output constraint of the generator in the region, and specifically, the output constraint of the generator in the region can be expressed as:
wherein, PiRepresenting the active power output, P, of the generator set in the area of the equipment to be overhauledi maxRepresents the upper limit of the active power output of the generator set in the area of the equipment to be overhauled, Pi minRepresenting the lower limit of the active output of the generator set in the area of the equipment to be overhauled; qiRepresenting the reactive power output of the generator set in the area of the equipment to be overhauled,
representing the upper limit of reactive power output of the generator set in the area of the equipment to be overhauled,
representing the lower limit of reactive power output of the generator set in the area of the equipment to be overhauled, SiIs a set of generator sets.
The generator output constraint in the construction region ensures that the generator in the region where the equipment to be overhauled is located normally operates during overhauling, and ensures the normal operation of the whole power grid system.
By constructing the constraint condition of the optimization target, the power grid system where the optimization target is located can be ensured to keep normal operation when the optimization target is maintained, and the work efficiency of power grid equipment maintenance is improved.
It should be understood that although the various steps in the flow charts of fig. 1-5 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 1-5 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 6, there is provided a power grid equipment overhaul optimization processing apparatus, including: a maintenance index obtaining module 602, an optimization target constructing module 604, a constraint condition constructing module 606, a model generating module 608 and a maintenance module 610, wherein:
the maintenance index acquiring module 602 is configured to acquire a plurality of maintenance indexes corresponding to the device to be maintained, where the maintenance indexes include efficiency and maintenance cost;
an optimization target construction module 604, configured to construct an optimization target corresponding to the device to be overhauled by using the efficiency and the overhaul cost;
a constraint condition construction module 606 for constructing constraint conditions of the optimization target;
a model generation module 608, configured to generate a maintenance optimization model according to the optimization objective and the constraint condition;
and the overhaul module 610 is used for overhauling the optimization target by utilizing the overhaul optimization model.
In one embodiment, the above apparatus further comprises: the array generating module is used for calculating the efficiency cost ratio of single overhaul by utilizing the efficiency and the overhaul cost; sequencing the efficiency cost ratios of the equipment to be overhauled; and generating a sequence corresponding to the optimization target by using the sequencing result.
In one embodiment, the above apparatus further comprises: the efficiency-cost ratio calculation module is used for acquiring the efficiency corresponding to the equipment to be overhauled, and the efficiency comprises a first efficiency and a second efficiency; calculating an efficiency change value of the equipment to be overhauled according to the first efficiency and the second efficiency; acquiring the maintenance cost of equipment to be maintained; and calculating the efficiency cost ratio of the equipment to be overhauled according to the efficiency change value and the overhaul cost.
In one embodiment, the performance-cost ratio calculating module further includes:
wherein E (n) represents the efficiency of the equipment to be overhauled before single overhaul, E' (n) represents the efficiency of the equipment to be overhauled after single overhaul, and LmAnd (n) represents the maintenance cost of single maintenance of the equipment to be maintained.
In one embodiment, the above apparatus further comprises: the efficiency calculation module is used for acquiring power information of the equipment to be overhauled, and the power information comprises active power and reactive power; and calculating the efficiency of the equipment to be overhauled according to the active power and the reactive power.
In one embodiment, the performance calculating module further includes:
wherein p isn(t) represents the active power of the equipment to be overhauled, qn(t) reactive power, k, of the equipment to be servicedn1Efficiency coefficient, k, corresponding to the active power of the equipment to be overhauledn2Efficiency coefficient, MTTF, representing the reactive power correspondence of the equipment to be overhaulednIndicating the life expectancy of the equipment to be serviced.
In one embodiment, the constraint building module 606 is further configured to: constructing transmission limit constraints by utilizing the output power flow of a power plant in the region of the equipment to be overhauled and the line transfer distribution factor of the power plant; constructing voltage constraint by using the voltage of a distribution network node in the area where the equipment to be overhauled is located; and constructing output constraint of the generator in the region by using the output power of the generator in the region of the equipment to be overhauled.
For specific limitations of the power grid equipment overhaul optimization processing device, reference may be made to the above limitations on the power grid equipment overhaul optimization processing method, and details are not described here again. All or part of each module in the power grid equipment overhaul optimization processing device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 7. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to realize a power grid equipment overhaul optimization processing method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 7 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the respective method embodiment as described above.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A power grid equipment overhaul optimization processing method comprises the following steps:
obtain a plurality of maintenance indexes that wait to overhaul equipment corresponds, the maintenance index includes efficiency and maintenance cost, includes: obtaining active power and reactive power corresponding to the equipment to be overhauled, calculating the efficiency according to the active power and the reactive power, wherein a formula for calculating the efficiency comprises the following steps:
wherein,
represents the active power of the equipment to be overhauled,
representing the reactive power of the equipment to be overhauled,
the efficiency coefficient corresponding to the active power of the equipment to be overhauled is represented,
the efficiency coefficient corresponding to the reactive power of the equipment to be overhauled is represented,
indicating a life expectancy of the equipment to be overhauled;
constructing an optimization target corresponding to the equipment to be overhauled by using the efficiency and the overhaul cost;
constructing a constraint condition of the optimization target;
generating a maintenance optimization model according to the optimization target and the constraint condition;
and utilizing the overhaul optimization model to overhaul the optimization target.
2. The method of claim 1, wherein the using the efficiency and the overhaul cost to construct an optimization objective corresponding to the equipment to be overhauled comprises:
calculating the efficiency cost ratio of single overhaul by using the efficiency and the overhaul cost;
sequencing the efficiency cost ratios of the equipment to be overhauled;
and generating a sequence corresponding to the optimization target by using the sequencing result.
3. The method of claim 2, wherein the calculating a cost to performance ratio for a single service using the performance to the service cost comprises:
acquiring the efficiency corresponding to the equipment to be overhauled, wherein the efficiency comprises a first efficiency and a second efficiency;
calculating an efficiency change value of the equipment to be overhauled according to the first efficiency and the second efficiency;
acquiring the maintenance cost of the equipment to be maintained;
and calculating the efficiency cost ratio of the equipment to be overhauled according to the efficiency change value and the overhaul cost.
4. The method of claim 2, wherein the calculating a cost to performance ratio for a single service using the performance to the service cost comprises:
wherein,
the efficiency of the equipment to be overhauled before single overhaul is shown,
indicating the effect of the equipment to be overhauled after a single overhaulThe energy consumption of the device can be reduced,
and representing the maintenance cost of single maintenance of the equipment to be maintained.
5. The method of claim 1, further comprising calculating the life expectancy for the equipment under inspection, the formula for calculating the life expectancy comprising:
wherein,
representing a reliability function corresponding to the equipment to be overhauled, wherein the reliability function is used for representing the capability of the equipment to be overhauled to complete a specified function in a specified time, and the reliability function is represented as Rn(t)=P(T>t); t represents a specified time, T represents the service life of the equipment to be overhauled, and P represents the probability that the equipment to be overhauled completes a specified function.
6. The method of claim 1, further comprising:
acquiring equipment information corresponding to the equipment to be overhauled, wherein the equipment information comprises equipment identification information and equipment state information;
and storing the calculated efficiency, the equipment identification information and the equipment state information in a historical database in an associated manner.
7. The method of claim 1, wherein the constraints for constructing the optimization objective comprise:
constructing transmission limit constraints by utilizing the output power flow of the power plant in the region of the equipment to be overhauled and the line transfer distribution factor of the power plant;
constructing voltage constraint by using the voltage of the distribution network node in the area where the equipment to be overhauled is located;
and constructing output constraint of the generator in the region by using the output power of the generator in the region of the equipment to be overhauled.
8. The utility model provides a power grid equipment overhauls optimal treatment device which characterized in that, the device includes:
the maintenance index acquisition module is used for acquiring a plurality of maintenance indexes corresponding to the equipment to be maintained, and the maintenance indexes comprise efficiency and maintenance cost, and include: obtaining active power and reactive power corresponding to the equipment to be overhauled, calculating the efficiency according to the active power and the reactive power, wherein a formula for calculating the efficiency comprises the following steps:
wherein,
represents the active power of the equipment to be overhauled,
representing the reactive power of the equipment to be overhauled,
the efficiency coefficient corresponding to the active power of the equipment to be overhauled is represented,
the efficiency coefficient corresponding to the reactive power of the equipment to be overhauled is represented,
indicating a life expectancy of the equipment to be overhauled;
the optimization target construction module is used for constructing an optimization target corresponding to the equipment to be overhauled by utilizing the efficiency and the overhaul cost;
the constraint condition construction module is used for constructing the constraint condition of the optimization target;
the model generation module is used for generating a maintenance optimization model according to the optimization target and the constraint condition;
and the maintenance module is used for maintaining the optimized target by utilizing the maintenance optimization model.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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