CN106408440B - Power transmission and transformation equipment maintenance plan decision method in power grid emergency state - Google Patents
Power transmission and transformation equipment maintenance plan decision method in power grid emergency state Download PDFInfo
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Abstract
The invention discloses a power transmission and transformation equipment maintenance plan decision method in a power grid emergency state, and belongs to the technical field of power system automation. Based on a recovery scheme and a target, the invention calculates the time-related factors of delay loss of completion of the maintenance task; calculating the cost performance of the maintenance task by combining the resource demand information of the maintenance task; then, calculating a ranking factor of the maintenance tasks by applying the comprehensive probability of the re-occurrence of the faults of the equipment related to the maintenance tasks; and determining a maintenance task plan in an emergency state by using a maintenance task sequencing factor as a main body and using a principle that the maintenance task resource demand is closest to the residual available resources as an auxiliary. The invention can improve the utilization efficiency of the overhaul resources in the emergency state of the power grid, promote the smooth implementation of the recovery plan, provide technical support, improve the handling capacity of the emergency state of the power grid and reduce the power failure loss.
Description
Technical Field
The invention belongs to the technical field of power system automation, and particularly relates to a power transmission and transformation equipment maintenance plan decision method in a power grid emergency state.
Background
The reasonable maintenance plan of the power transmission and transformation equipment is always a problem which is very important to the power grid operation management department, a large amount of research is carried out on the maintenance plan of the power transmission and transformation equipment under the normal operation state of the power grid, and more practical plan decision methods are formed, so that the comprehensive benefit of the operation and maintenance of the equipment is effectively improved, and the important guarantee is provided for the safe and stable operation of the power grid.
Under the influence of factors such as external natural environment, the power transmission and transformation equipment of the power grid, dispatching operation management and the like, the power grid can be in an emergency state when large-area power failure occurs. Theoretical research and technical research and development related to emergency state disposal of a power grid generally focus on optimization of a recovery scheme, and the overall aim is to quickly recover power supply and reduce power failure loss. In a power grid dispatching operation department, power grid emergency state prediction is usually carried out, a recovery plan and a black start scheme after large-area power failure are formulated, and once the power grid emergency state occurs, the power grid emergency state is used for guiding scientific and reasonable disposal.
The large-area damage of the power transmission and transformation equipment has a certain degree of correlation with the emergency state of the power grid. For example, a power transmission and transformation equipment group fault caused by an external natural disaster is one of important reasons for causing an emergency state of a power grid. In the emergency state of the power grid, a lot of equipment may need to be repaired and defects eliminated before normal operation can be recovered, and effective implementation of the power grid recovery scheme depends heavily on the repair condition of damaged power transmission and transformation equipment. Compared with the maintenance plan decision of the common power transmission and transformation equipment, the maintenance decision under the emergency state has the characteristics that: the number of devices to be overhauled is large, and the number of overhauling tasks is large; available overhaul resources are relatively scarce; the requirement on the overhauling timeliness is high; the maintenance task plan decision needs to be closely matched with a recovery scheme, and the repair sequence of the equipment to be maintained is required to be consistent with the power grid recovery sequence; the goal of the service mission plan decision is to reduce the penalty incurred by recovery deferral.
Therefore, if the corresponding maintenance plan decision method can be researched according to the characteristics and requirements of the maintenance decision of the power transmission and transformation equipment in the power grid emergency state, the defects of the existing maintenance plan decision method of the power transmission and transformation equipment are overcome, the utilization efficiency of maintenance resources in the power grid emergency state is improved beneficially, the smooth implementation of the recovery plan is facilitated, and therefore the method has important significance for improving the emergency handling capacity of the power grid and reducing the power failure loss.
Disclosure of Invention
The invention aims to: aiming at the characteristics and requirements of the maintenance decision of the power transmission and transformation equipment in the power grid emergency state, the power transmission and transformation equipment maintenance plan decision method in the power grid emergency state is provided. The method provides technical support for improving the utilization efficiency of overhaul resources in the emergency state of the power grid, facilitating the smooth implementation of the recovery plan, and further improving the handling capacity of the emergency state of the power grid and reducing the power failure loss.
Specifically, the invention is realized by adopting the following technical scheme, which comprises the following steps:
1) acquiring basic information: basic information is obtained from a power grid dispatching operation control technology support system and a dispatching operation management system, and comprises power grid operation condition information, equipment fault shutdown information, power grid external environment information, fault equipment overhaul resource demand information, current available overhaul resource information, candidate recovery scheme information, recovery delay loss information and probability information of faults occurring after equipment overhaul.
The equipment failure shutdown information refers to equipment which cannot be operated in a grid-connected mode due to defects, and the equipment can be put into operation only after the defects are repaired and eliminated. The fault equipment overhaul resource requirements comprise material resources (including manpower and equipment materials, the same below) required by implementing overhaul and time resources required by completing overhaul, and the resources which can be used for overhaul at present refer to the material resources which can be used for implementing overhaul tasks; the candidate recovery scheme information comprises a recovery path, a recovery sequence and a recovery target (including recovery of equipment in operation, power generation output, load and the like) of each stage; the recovery delay loss information refers to the comprehensive loss caused by the delay of the recovery target realization time at a certain stage, and can include the direct economic benefit and the indirect economic benefit of the load power failure loss and the power generation output loss, and the recovery delay loss information is consistent with the loss calculation mode of the recovery scheme optimization and needs to be converted into the loss of unit time; the probability of the equipment failing again after being repaired refers to the probability that the equipment fails again and needs to be repaired in the current and predicted external natural environment and power grid operation condition within the period from the equipment repair to the end of the emergency state.
2) Determining a maintenance task and resource requirements thereof, and comprising the following two steps:
the first step is to determine a maintenance task, and determine equipment needing maintenance according to equipment failure shutdown information; based on network topology analysis, equipment needing to be overhauled is grouped, and a group of related equipment can be overhauled at the same time interval to form an overhauling task; according to the method, all equipment to be overhauled are divided into NJ groups, and NJ overhauling tasks in an emergency state are formed.
And secondly, determining the resource requirements of each maintenance task, based on the single equipment maintenance resource requirement information and in combination with the external environment information of the power grid, determining the resource requirements of each maintenance task, including the material resources required for developing the maintenance work and the time resources required for completing the maintenance task. Let the material resource of the i-th overhaul task be NJR (i) and the time resource be NJT (i).
For each maintenance task, performing the following steps 3) to 6):
3) determining a set of recovery phases affected by the overhaul task, including the following two items:
the first item is for each service task to determine which recovery phases are affected by it. The recovery stage is affected by the maintenance task, that is, the recovery work in the recovery stage can be performed only if the equipment related to the maintenance task has normal operation conditions, on the premise that the maintenance task is completed. And searching equipment which can be normally grid-connected and put into operation after the equipment related to the maintenance tasks is grid-connected and put into operation based on the recovery path and the recovery sequence scheme, thereby determining a recovery stage set influenced by each maintenance task. Let the set of recovery phases affected by the ith overhaul task be NJH (i).
The second item is to determine a reverse set of related overhaul tasks for each overhaul task. The reverse related maintenance task of the maintenance tasks refers to that the equipment related to the maintenance tasks has the condition of recovering normal grid-connected operation only after the equipment related to other maintenance tasks recovers grid-connected operation. Let the set of inverse correlation overhaul tasks for the ith overhaul task be NJI (i). Based on the restoration path and the restoration sequence scheme, in the restoration process, if the sequence of restoring the grid connection of the equipment related to the ith overhaul task is necessary to be after restoring the grid connection of the equipment related to other overhaul tasks, the corresponding other overhaul tasks are listed in the set NJI (i).
4) And calculating the time-loss related factor of delay of the completion of the maintenance task.
The time loss related factor for the delay of the completion of the maintenance task refers to the loss caused by the delay of the completion of the maintenance task in unit time, and the meaning of the loss is the same as the meaning of the loss in the optimization of the recovery scheme.
And calculating the time-related factor of delay loss of completion of the maintenance task according to the following formula:
wherein, rlj (i) is the loss time correlation factor of delay in completion of the ith overhaul task, γ (j) is the importance weight coefficient of the jth recovery stage belonging to njh (i), and wt (j) is the loss time correlation factor of delay recovery of the jth recovery stage belonging to njh (i).
Further, the importance weight coefficient γ (j) of the jth recovery stage belonging to njh (i) is the importance degree of the recovery line/main transformer in the target grid, and is determined according to the number of the power transmission and transformation elements (including the line and the main transformer) recovered in the stage and the voltage level thereof, and is calculated according to the following formula:
wherein k represents a voltage class, and k is 1, 2, 3, 4 and 5, which respectively represent voltage classes of 750kV, 500kV, 330kV, 220kV and 110 kV; c (k) is an importance coefficient of a single transmission and transformation element (including a line and a main transformer) of the kth voltage class, and the values of the corresponding 5 voltage classes are 0.9, 0.8, 0.6, 0.5 and 0.3 respectively; nm (k) is the number of transmission and transformation elements (including lines and main transformers) of the kth voltage level recovered at this stage.
Further, the loss time correlation coefficient wt (j) of the j-th recovery stage deferred recovery belonging to the njh (i) refers to the loss caused by the deferred unit time to achieve the recovery goal of the j-th recovery stage, and the meaning of the loss is the same as the meaning of the loss in the optimization of the recovery scheme.
5) The cost performance factor of the maintenance task is calculated according to the following formula:
RCJ(i)＝NJR(i)*NJT(i)
RPJ (i) is a cost performance factor of the ith maintenance task, and RCJ (i) is the maintenance cost of the ith maintenance task;
6) calculating a maintenance task ranking factor according to the following formula:
RSJ(i)＝RPJ(i)*(1-PF(i))
RSJ (i) is an ith maintenance task sequencing factor, and PF (i) is the comprehensive probability of the re-fault of the equipment related to the maintenance task from the completion of the ith maintenance task to the end of the emergency state. The overhaul task related equipment comprises directly related equipment and directly related equipment of an inversely related task set of the overhaul task related equipment. The equipment directly related to the ith maintenance task refers to the equipment related to the maintenance task.
Further, PF (i) is calculated as follows:
the PFJ (i) is the probability that the equipment directly related to the ith maintenance task fails again in the period from the completion of the maintenance of the ith maintenance task to the end of the emergency state, and the PFJ (j) is the probability that the equipment directly related to the jth maintenance task in the ith maintenance task reverse related maintenance task set NJI (i) fails again.
7) And determining the maintenance tasks of all time intervals. The method is subdivided into the following three steps:
the first step is to determine the total dispatchable overhaul material resources at the start of each time period.
Further, the meaning of the starting moment of the period is introduced as follows:
the initial moment of the first time interval is the moment when the maintenance task is started after the emergency state of the power grid occurs. At this moment, all the overhaul tasks are not started yet, and all the available overhaul resources in the emergency state can be allocated.
For other time intervals, the starting time of the time interval is determined according to the plan condition of the scheduled maintenance tasks already determined in the previous time interval and by combining the time resources required by each maintenance task, and the principle is that at least one scheduled maintenance task is already completed and the maintenance material resources can be reallocated.
The allocable maintenance material resources refer to material resources which can be used for arranging a new maintenance task at the current moment, and include residual available resources at the starting moment of the previous period and maintenance material resources released by the maintenance task completed in the previous period.
And secondly, determining a maintenance task according to the ranking factor for each time interval.
And at the initial moment, sequentially increasing the maintenance tasks started at the moment according to the sequence of the sequencing factors from large to small for the maintenance tasks not started at the initial moment, distributing maintenance material resources, and stopping newly adding the maintenance tasks when the residual distributable maintenance material resources do not meet the material resource requirement for increasing the next maintenance task.
And thirdly, selecting one maintenance task from all maintenance tasks which are not determined to be planned as the last maintenance task started in the time interval according to the principle that the maintenance task resource demand is closest to the residual available resources and does not exceed the residual available resources based on the residual adjustable maintenance material resources in the second step for each time interval.
The invention has the following beneficial effects: the invention provides a power transmission and transformation equipment maintenance plan decision method aiming at the actual situation that a large-area power failure accident and a large amount of power transmission and transformation equipment are damaged possibly occur in the operation of a power grid and closely connecting the characteristics and requirements of emergency state disposal of the power grid. The method aims to reduce the loss caused by delay of power grid recovery due to delay of completion of maintenance tasks, and is consistent with the target of power grid emergency state disposal. According to the method, the implementation cost performance of the maintenance tasks is analyzed and calculated by combining the resource requirements of the maintenance tasks, the comprehensive probability of the reoccurrence of faults of equipment related to the maintenance tasks is calculated, the available maintenance resource condition is considered, the maintenance tasks are sequenced, the engineering application requirements of the power grid emergency state maintenance plan decision are fully considered, and the obtained maintenance task plan decision result has operability. The invention can provide technical support for improving the utilization efficiency of overhaul resources in the emergency state of the power grid, promoting the smooth implementation of the recovery plan, improving the handling capacity of the emergency state of the power grid and reducing the power failure loss.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the following examples and the accompanying drawings.
Example 1:
one embodiment of the present invention is illustrated in FIG. 1.
Step 1 depicted in fig. 1 is to obtain basic information: basic information is obtained from a power grid dispatching operation control technology support system and a dispatching operation management system, and comprises power grid operation condition information, equipment fault shutdown information, power grid external environment information, fault equipment overhaul resource demand information, current available overhaul resource information, candidate recovery scheme information, recovery delay loss information and probability information of faults occurring after equipment overhaul.
The equipment failure shutdown information refers to equipment which cannot be operated in a grid-connected mode due to defects, and the equipment can be put into operation only after the defects are repaired and eliminated. The fault equipment overhaul resource requirements comprise material resources (including manpower and equipment materials, the same below) required by implementing overhaul and time resources required by completing overhaul, and the resources which can be used for overhaul at present refer to the material resources which can be used for implementing overhaul tasks; the candidate recovery scheme information comprises a recovery path, a recovery sequence and a recovery target (including recovery of equipment in operation, power generation output, load and the like) of each stage; the recovery delay loss information refers to the comprehensive loss caused by the delay of the recovery target realization time at a certain stage, and can include the direct economic benefit and the indirect economic benefit of the load power failure loss and the power generation output loss, and the recovery delay loss information is consistent with the loss calculation mode of the recovery scheme optimization and needs to be converted into the loss of unit time; the probability of the equipment failing again after being repaired refers to the probability that the equipment fails again and needs to be repaired in the current and predicted external natural environment and power grid operation condition within the period from the equipment repair to the end of the emergency state.
Step 2 depicted in fig. 1 is to determine the overhaul task and its resource requirements. And analyzing the incidence relation among the fault devices to form NJ overhaul tasks in an emergency state, and determining the overhaul resource requirements of each overhaul task. The method comprises the following two steps:
the first step is to determine a maintenance task, and determine equipment needing maintenance according to equipment failure shutdown information; based on network topology analysis, equipment needing to be overhauled is grouped, and a group of related equipment can be overhauled at the same time interval to form an overhauling task; according to the method, all equipment to be overhauled are divided into NJ groups, so that NJ overhauling tasks in an emergency state are formed;
the second step is to determine the resource requirements for each overhaul task. And determining the resource requirements of each maintenance task based on the single equipment maintenance resource requirement information and by combining with the external environment information of the power grid, wherein the resource requirements comprise material resources required for developing the maintenance work and time resources required for completing the maintenance task. Let the material resource of the i-th overhaul task be NJR (i) and the time resource be NJT (i). And if the ith overhaul task has a plurality of devices to be overhauled, taking the most time-consuming overhaul time as the time resource required by the ith overhaul task.
And (3) respectively implementing the steps 3 to 6 in the figure 1 for the NJ maintenance tasks.
Step 3 depicted in FIG. 1 is to determine the set of recovery phases affected by the service task. And for each maintenance task, determining which recovery stages are influenced by the maintenance task based on the recovery scheme, and determining a reverse related maintenance task set.
The method comprises the following two contents:
the first item is for each service task to determine which recovery phases are affected by it. The recovery stage is affected by the maintenance task, that is, the recovery work in the recovery stage can be performed only if the equipment related to the maintenance task has normal operation conditions, on the premise that the maintenance task is completed. And searching equipment which can be normally grid-connected and put into operation after the equipment related to the maintenance tasks is grid-connected and put into operation based on the recovery path and the recovery sequence scheme, thereby determining a recovery stage set influenced by each maintenance task. Let the set of recovery phases affected by the ith overhaul task be NJH (i). Specifically, the equipment involved in each maintenance task is used as a starting point, forward search is conducted on a recovery path based on a recovery path and a recovery sequence scheme until the end point of the recovery path, and the equipment which cannot be normally put into operation after the equipment involved in each maintenance task is put into operation is determined, so that a recovery stage set influenced by each maintenance task is determined.
The second item is to determine a reverse set of related overhaul tasks for each overhaul task. The reverse related maintenance task of the maintenance tasks refers to that the equipment related to the maintenance tasks has the condition of recovering normal grid-connected operation only after the equipment related to other maintenance tasks recovers grid-connected operation. Let the set of inverse correlation overhaul tasks for the ith overhaul task be NJI (i). Based on the restoration path and the restoration sequence scheme, in the restoration process, if the sequence of restoring the grid connection of the equipment related to the ith overhaul task is necessary to be after restoring the grid connection of the equipment related to other overhaul tasks, the corresponding other overhaul tasks are listed in the set NJI (i). Specifically, the equipment related to each maintenance task is used as a starting point, the recovery path is reversely searched based on the recovery path and the recovery sequence scheme until the starting point of the recovery path, and in the recovery process, if the grid-connection recovery sequence of the equipment related to each maintenance task needs to be after the grid-connection recovery of the equipment related to other maintenance tasks, the other maintenance tasks are listed in the reverse related maintenance task set of the corresponding maintenance tasks.
Step 4 depicted in fig. 1 is to calculate the loss time related factor for delay in completion of service task i. And (4) calculating a delay loss time correlation factor of the completion of the overhaul task by combining the recovery phase set influenced by the overhaul task and obtained in the step (3) based on the recovery delay loss time correlation coefficient.
The time loss related factor for the delay of the completion of the maintenance task refers to the loss caused by the delay of the completion of the maintenance task in unit time, and the meaning of the loss is the same as the meaning of the loss in the optimization of the recovery scheme.
And calculating the time-related factor of delay loss of completion of the maintenance task according to the following formula:
wherein, rlj (i) is the loss time correlation factor of delay in completion of the ith overhaul task, γ (j) is the importance weight coefficient of the jth recovery stage belonging to njh (i), and wt (j) is the loss time correlation factor of delay recovery of the jth recovery stage belonging to njh (i).
Further, the importance weight coefficient γ (j) of the jth recovery stage belonging to njh (i) is the importance degree of the recovery line/main transformer in the target grid, and is determined according to the number of the power transmission and transformation elements (including the line and the main transformer) recovered in the stage and the voltage level thereof, and is calculated according to the following formula:
wherein k represents a voltage class, and k is 1, 2, 3, 4 and 5, which respectively represent voltage classes of 750kV, 500kV, 330kV, 220kV and 110 kV; c (k) is an importance coefficient of a single transmission and transformation element (including a line and a main transformer) of the kth voltage class, and the values of the corresponding 5 voltage classes are 0.9, 0.8, 0.6, 0.5 and 0.3 respectively; nm (k) is the number of transmission and transformation elements (including lines and main transformers) of the kth voltage level recovered at this stage.
Further, the loss time correlation coefficient wt (j) of the j-th recovery stage deferred recovery belonging to the njh (i) refers to the loss caused by the deferred unit time to achieve the recovery goal of the j-th recovery stage, and the meaning of the loss is the same as the meaning of the loss in the optimization of the recovery scheme.
Step 5 depicted in fig. 1 is to calculate a cost/performance factor for the service task. And (4) calculating the maintenance cost of the maintenance task by considering the material resource and time resource requirements, and calculating the cost performance of the maintenance task by combining the maintenance task completion delay loss time related factors obtained in the step (4).
The cost performance factor of the maintenance task is calculated according to the following formula:
RCJ(i)＝NJR(i)*NJT(i)
RPJ (i) is a cost performance factor of the ith overhaul task, and RCJ (i) is the overhaul cost of the ith overhaul task.
Step 6 depicted in fig. 1 is to calculate a service task ranking factor. And (5) calculating the comprehensive probability of the re-fault of the related equipment after the maintenance task is completed, and calculating the ranking factor of the maintenance task i by combining the cost performance of the maintenance task obtained in the step (5).
Calculating a maintenance task ranking factor according to the following formula:
RSJ(i)＝RPJ(i)*(1-PF(i))
RSJ (i) is an ith maintenance task sequencing factor, and PF (i) is the comprehensive probability of the re-fault of the equipment related to the maintenance task from the completion of the ith maintenance task to the end of the emergency state. The overhaul task related equipment comprises directly related equipment and directly related equipment of an inversely related task set of the overhaul task related equipment. The equipment directly related to the ith maintenance task refers to the equipment related to the maintenance task.
Further, PF (i) is calculated as follows:
the PFJ (i) is the probability that the equipment directly related to the ith maintenance task fails again in the period from the completion of the maintenance of the ith maintenance task to the end of the emergency state, and the PFJ (j) is the probability that the equipment directly related to the jth maintenance task in the ith maintenance task reverse related maintenance task set NJI (i) fails again.
Step 7 depicted in fig. 1 is to determine the service tasks for each time interval. And determining the last overhaul task started in the time period according to the principle that the overhaul task resource requirement is closest to the residual available resource and does not exceed the residual available resource when the residual disposable material resources are not enough to support the resource requirement of the adjacent follow-up overhaul tasks of the sequencing factors by taking the sequence of the sequencing factors from large to small as a main principle, and determining the overhaul tasks in each time period as an auxiliary principle.
From the moment the maintenance tasks are started, the following three steps, corresponding to steps 7-1) to 7-3) in fig. 1, are executed cyclically until all NJ maintenance tasks have been scheduled to end.
Step 7-1) depicted in fig. 1 is to determine the start time of the period and it may allocate the overhaul material resources.
And determining the total allocable maintenance material resources at the initial moment of each time interval.
Further, the meaning of the starting moment of the period is introduced as follows:
the initial moment of the first time interval is the moment when the maintenance tasks are started after the power grid is in the emergency state, all the maintenance tasks are not started at the moment, and available maintenance resources can be allocated in all the emergency states.
For other time intervals, the starting time of the time interval is determined according to the plan condition of the scheduled maintenance tasks already determined in the previous time interval and by combining the time resources required by each maintenance task, and the principle is that at least one scheduled maintenance task is already completed and the maintenance material resources can be reallocated.
Further, the distributable overhaul material resource means a material resource which can be used for arranging a newly added overhaul task at the current time, and includes a remaining available resource at the starting time of the previous time period and an overhaul material resource which is released by completing the overhaul task in the previous time period.
Step 7-2) depicted in FIG. 1 is to determine the initiated service tasks by a ranking factor. And at the initial moment of each time interval, determining a newly added starting maintenance task according to the principle that the sequencing factors are from large to small.
Further, the process of determining the newly added starting maintenance task is that at the starting moment, for the maintenance tasks which are not started, the maintenance tasks which are started at the moment are sequentially increased according to the sequence of the sequencing factors from large to small, maintenance material resources are distributed, and when the remaining distributable maintenance material resources do not meet the material resource requirement of increasing the next maintenance task, the newly added maintenance task is stopped.
Step 7-3) depicted in fig. 1 is to determine the last service task to be started at that time, based on the service task resource requirement, closest to the remaining available resources.
Further, the process of determining the last overhaul task is that, for each time period, based on the remaining allocatable overhaul material resources obtained in the step 7-3), in the overhaul tasks not listed in the start plan, the overhaul task with the overhaul task resource demand closest to the remaining available resources and not exceeding the remaining available resources is searched for as the last overhaul task started in the time period.
In conclusion, the method is used for solving the actual situations that a large-area power failure accident and a large amount of power transmission and transformation equipment are damaged in the operation of the power grid, closely connecting the characteristics and requirements of emergency state handling of the power grid, aiming at reducing the loss caused by delay of power grid recovery due to delay of completion of maintenance tasks, and providing the power transmission and transformation equipment maintenance plan decision-making method. Based on the recovery scheme and the target, calculating a time-loss delay correlation factor when the maintenance task is completed; calculating the cost performance of the maintenance task by combining the resource demand information of the maintenance task; then, calculating a ranking factor of the maintenance tasks by applying the comprehensive probability of the re-occurrence of the faults of the equipment related to the maintenance tasks; and determining a maintenance task plan in an emergency state according to the principle that the maintenance task sequencing factor is from large to small and the maintenance task resource demand is closest to the residual available resources as an auxiliary. The method for deciding the maintenance plan of the electric transmission and transformation equipment in the emergency state aims at reducing the loss caused by delay of the completion of maintenance tasks and delay of power grid recovery, and is consistent with the target of disposal in the emergency state of the power grid; the method is combined with the resource requirements of the maintenance tasks, the cost performance of the implementation of the maintenance tasks is analyzed and calculated, the available maintenance resource condition is considered, the probability of the reoccurrence of the fault of the equipment related to the maintenance tasks is calculated, the engineering application requirements of the power grid emergency state maintenance plan decision are fully considered, and the obtained maintenance task plan decision result has operability. The method provides technical support for improving the utilization efficiency of overhaul resources in the emergency state of the power grid, facilitating the smooth implementation of the recovery plan, and can improve the handling capacity of the emergency state of the power grid and reduce the power failure loss.
Although the present invention has been described in terms of the preferred embodiment, it is not intended that the invention be limited to the embodiment. Any equivalent changes or modifications made without departing from the spirit and scope of the present invention also belong to the protection scope of the present invention. The scope of the invention should therefore be determined with reference to the appended claims.
Claims (3)
1. A power transmission and transformation equipment maintenance plan decision method in a power grid emergency state is characterized by comprising the following steps:
1) acquiring basic information: acquiring basic information from a power grid dispatching operation control technology support system and a dispatching operation management system, wherein the basic information comprises power grid operation condition information, equipment fault shutdown information, power grid external environment information, fault equipment overhaul resource demand information, current available overhaul resource information, candidate recovery scheme information, recovery delay loss information and probability information of faults occurring after equipment overhaul;
2) determining a maintenance task and resource requirements thereof: determining equipment needing to be overhauled according to the equipment failure outage information; based on network topology analysis, equipment needing to be overhauled is grouped, and a group of related equipment is overhauled at the same time interval to form an overhaul task, so that NJ overhaul tasks in an emergency state are formed; determining the resource requirements of each overhaul task based on single equipment overhaul resource requirement information and in combination with external environment information of a power grid, wherein the resource requirements comprise material resources and time resources, and the material resources comprise manpower and equipment; setting the material resource and time resource of the ith overhaul task as NJR (i) and NJT (i);
3) determining a set of recovery phases affected by the overhaul task: based on a restoration path scheme, searching equipment which can normally run in a grid-connected mode after equipment related to the maintenance task is put into operation, and accordingly determining a restoration stage set influenced by each maintenance task, wherein the restoration stage set influenced by the ith maintenance task is set as NJH (i); determining a reverse related overhaul task set of each overhaul task based on a recovery path scheme, setting the reverse related overhaul task set of the ith overhaul task as NJI (i), and listing the corresponding other overhaul tasks into a set NJI (i) in a recovery path if the recovery sequence of equipment related to the ith overhaul task needs to be recovered after equipment related to the other overhaul tasks;
4) and calculating the time-related factor of delay loss of completion of the maintenance task according to the following formula:
wherein, RLJ (i) is a time-loss related factor for delaying the completion of the ith overhaul task; gamma (j) is an importance weight coefficient of the j-th recovery stage belonging to NJH (i), and is determined according to the number of lines and main transformers recovered in the stage and the voltage level of the lines and the main transformers; wt (j) is the lost time correlation coefficient for deferred recovery of the j-th recovery stage belonging to njh (i);
5) the cost performance factor of the maintenance task is calculated according to the following formula:
RCJ(i)＝NJR(i)*NJT(i)
RPJ (i) is a cost performance factor of the ith maintenance task, and RCJ (i) is the maintenance cost of the ith maintenance task;
6) calculating a maintenance task ranking factor according to the following formula:
RSJ(i)＝RPJ(i)*(1-PF(i))
wherein, RSJ (i) is the ith maintenance task ranking factor, PF (i) is calculated according to the following formula:
wherein, PFJ (i) is the probability that the equipment directly related to the ith maintenance task fails again after the ith maintenance task completes maintenance and the time of finishing the emergency state, and PFJ (j) is the probability that the equipment directly related to the jth maintenance task in the ith maintenance task reverse related maintenance task set NJI (i) fails again;
7) determining the maintenance task in each time interval: for each time interval, firstly determining available overhaul material resources at the initial time of the time interval; and then, for the maintenance tasks of which the plans are not determined, sequentially increasing the maintenance tasks started at the moment according to the sequence of the sequence factors from large to small, allocating maintenance resources, and selecting one maintenance task from all the maintenance tasks of which the plans are not determined according to the principle that the resource requirements of the maintenance tasks are closest to the remaining available resources and do not exceed the remaining available resources when the remaining maintenance resources do not meet the resource requirements of the next maintenance task, wherein the maintenance tasks are started at the moment and are used as the last maintenance task started at the time interval.
2. The power transmission and transformation equipment maintenance plan decision method in the grid emergency state according to claim 1, wherein the method for determining the recovery phase set affected by each maintenance task in the step 3) is as follows: and respectively taking the equipment related to each maintenance task as a starting point, carrying out forward search on the recovery path based on the recovery path and the recovery sequence scheme until the end point of the recovery path, and determining the equipment which can not be normally put into operation after the equipment related to each maintenance task is put into operation, thereby determining the recovery stage set influenced by each maintenance task.
3. The power transmission and transformation equipment maintenance plan decision method in the grid emergency state according to claim 1, wherein the method for determining the reverse relevant maintenance task set of each maintenance task in the step 3) comprises the following steps: and respectively taking the equipment related to each maintenance task as a starting point, and carrying out reverse search on the recovery path based on the recovery path and the recovery sequence scheme until the starting point of the recovery path, wherein in the recovery process, if the grid-connected sequence of the equipment related to each maintenance task needs to be recovered after the grid-connected sequence of the equipment related to other maintenance tasks is recovered, the other maintenance tasks are listed in the reverse related maintenance task set of the corresponding maintenance tasks.
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