Work stop plan creation assistance system and work stop plan creation assistance method in power system

Abstract

When establishing a work stop plan in a power system, it is difficult to consider whether it is possible to simultaneously stop all combinations of work, and reduction of arbitrary combinations reduces the explainability and index in the work stop plan. In order to solve this problem, provided in a power system is a work stop plan creation assistance system that comprises at least a processing unit and a storage unit and receives, as inputs, work list data including one or more tasks, system configuration data, and future prediction scenario data including future demand prediction or renewable energy output prediction. The processing unit: uses data from the storage unit to extract a facility in which a power flow changes by a prescribed amount when the facility is stopped due to work; calculates flow sensitivity for the extracted facility; uses the flow sensitivity to extract the most severe condition of an objective function or a constraint function for a work stop plan; calculates the value of the objective function or the constraint function when the work was performed in accordance with the most severe condition; and determines the importance from the calculated value when the work was performed.

Description

Work Stop Plan Creation Support System and Work Stop Plan Creation Support Method in Power System

[0001] The present invention relates to a work stop plan creation support system and a work stop plan creation support method for a work stop plan in a power system.

[0002] In recent years, the environment surrounding the power system has been rapidly changing due to the expansion of the introduction of renewable energy. In addition, due to the aging of power system facilities, the need for maintenance and inspection has increased. In particular, facilities introduced during the period of high economic growth are all approaching their maintenance periods, and the facilities to be maintained and replaced are increasing rapidly. Therefore, since the maintenance work required annually is increasing, as a work stop plan, it is required that as many works as possible can be completed.

[0003] On the other hand, when performing maintenance and inspection of facilities such as power systems, it is necessary to stop the target facilities. At that time, the reliability of the system decreases due to the stop of the system facilities, and as a result, power outages and suppression of power generation occur. Therefore, it is required that the work stop plan causes as little decrease in reliability such as power outages occurring in the system and that the burden on system users is minimized.

[0004] In order to achieve the above, a dense work stop plan that can complete many works while ensuring system reliability and user burden is required. In addition, it is also required for the work stop plan that it is possible to objectively explain whether these matters have been achieved.

[0005] Patent Document 1 discloses an equipment stop plan automatic creation device including a work process generation mechanism that generates a work process of work accompanied by the stop of power system equipment, and a reliability system creation mechanism that creates a reliability system for each cross-section of the work process generated by the work process generation mechanism.

[0006] In this equipment stop plan automatic creation device, the work process generation mechanism efficiently generates a combination of works for which the improvement of the evaluation function can be expected under various conditions, and repeatedly performs a process of creating a system configuration that ensures system reliability by the reliability system creation mechanism for each cross-section of the generated work process.

[0007] Japanese Patent Publication No. 2012-10501

[0008] The system described in Patent Document 1 makes it possible to formulate a work stoppage plan after evaluating system reliability. In this process, based on the connection relationships of the equipment, a mechanism is maintained to reduce the computational load in response to an increase in workload by grouping work systems with the same system reliability on the same day.

[0009] However, this method has two drawbacks. First, it only focuses on evaluating grid reliability. Nowadays, many key performance indicators (KPIs) are required for work stoppages, such as power generation constraints, renewable energy utilization rates, and the resulting reduction of carbon dioxide emissions. Second, it links work based on the amount of grid reliability degradation. With the increase in workload and the growing need for efficient work stoppage planning, the margin for error in scheduling work is decreasing. As a result, many tasks need to be performed on the same day, and when considering same-day work, it is necessary to evaluate the reliability and KPIs of each combination of tasks. When linking work based on grid reliability degradation, it is still necessary to check whether unrelated tasks can be performed on the same day, which inevitably leads to a large increase in computational complexity due to combinatorial explosion.

[0010] To solve the above problems, one representative work stoppage plan creation support system of the present invention is a power system work stoppage plan creation support system comprising at least a processing unit and a storage unit, wherein the storage unit stores work list data including information on work in one or more power systems, system configuration data including information on equipment belonging to the power system, and future forecast scenario data including power demand forecasts and renewable energy output forecasts for loads at future dates and times, and the processing unit reads each data from the storage unit and performs a first function to extract equipment whose power flow changes by a specified amount when the equipment is stopped due to work from the work list data and system configuration data, performs a second function to calculate the power flow sensitivity for the extracted equipment, performs a third function to extract the most severe conditions in which the objective function or constraint function for the work stoppage plan is worstened from the future forecast scenario data using the calculated power flow sensitivity, performs a fourth function to calculate the objective function or constraint function when the work is carried out according to the extracted most severe conditions, and performs a fifth function to determine the importance to the power system when the work is carried out from the calculated value of the objective function or constraint function.

[0011] According to the present invention, when formulating a work stoppage plan, it is possible to calculate a work stoppage plan that satisfies various constraints of the system and maximizes the target indicator, even when the number of operations increases, within the given time constraints. Problems, configurations, and effects other than those described above will be clarified by the following description of the implementation form.

[0012] This figure shows the hardware configuration of the power grid work stoppage plan creation support system according to the present invention. This figure shows an example of the configuration of grid configuration data. This figure shows an example of the configuration of work list data. This figure shows an example of the configuration of future prediction scenario data. This figure shows a flowchart of the process of classifying work groups based on importance as Example 1. This figure shows an example of the output from processing step S9 of Example 1. This figure shows a flowchart of the process of formulating a work stoppage plan as Example 2. This figure shows an example of the output from processing step S16 of Example 2. This figure shows a flowchart of the process of adding the classification of connection relationships in addition to importance using the connection relationships of the equipment to be stopped as Example 3. This figure shows an example of the output from processing step S20 of Example 3.

[0013] Examples 1 to 3 for carrying out the present invention will be described below with reference to the drawings. However, the present invention is not limited to these examples. Furthermore, in the drawings, the same parts are denoted by the same reference numerals.

[0014] In Example 1, the operation of a process for classifying work groups based on importance is described as a process for obtaining a work stoppage plan that can cope with an increase in the number of tasks. In Example 2, the operation of a process for formulating a work stoppage plan using the work groups classified based on importance in Example 1 is described. In Example 3, the operation of a process for narrowing down the work groups in the classification of work groups in Example 1 to tasks that would have less impact if simultaneously stopped, using the connection relationships of the work targets is described.

[0015] Before describing each embodiment, the hardware configuration and data used in the power system work stoppage planning support system according to the present invention will be explained. Figure 1 is a diagram showing the hardware configuration of the power system work stoppage planning support system 1 according to the present invention. In the following, the "section" in the section where work is stopped means the "date and time (moment)" when work is stopped.

[0016] The power system downtime planning support system 1 (hereinafter simply referred to as "downtime planning support system 1") is generally composed of a computer device, and therefore consists of a central processing unit 10 (CPU) composed of a computer or computer server, a main memory unit 11 composed of a storage device such as memory, an auxiliary storage unit 12 composed of a storage device such as an HDD or memory, a communication unit 13, an input unit 14, and an output unit 15. Here, the central processing unit 10 may be composed of one or more semiconductor chips, or it may be composed of a computer device such as a computer server. The communication unit 13 includes a circuit and a communication protocol for connecting to a communication network.

[0017] The input unit 14 is configured to include at least one of the following: a keyboard switch, a pointing device such as a mouse, a touch panel, or a voice instruction device. The output unit 15 is, for example, a display device, but may be replaced by, or together with, a printer device or a voice output device. This output unit 15 outputs data processed by the central processing unit 10 or data recorded in the main memory unit 11 and the auxiliary memory unit 12 in a format suitable for the device. An example of output will be described later.

[0018] External system 20 is a system that works in conjunction with the work stoppage plan creation support system 1. Examples of systems that can be linked include a system configuration management system. While there may be multiple such linked systems, this configuration is not mandatory.

[0019] The auxiliary storage unit 12 shown in Figure 1 stores system configuration data 121, work list data 122, and future prediction scenario data 123 as a database. In addition, the program group includes a work stoppage plan creation support program 120 as the main program, and the following subprograms: a tidal current sensitivity calculation program 124, a reliability / KPI calculation program 125, a work combination generation program 126, a tidal current change equipment extraction program 127, a work importance determination program 128, and a severe system condition extraction program 129.

[0020] Figure 2 shows an example of the configuration of the system configuration data 121. The system configuration data 121 stores the equipment belonging to the corresponding system configuration in a given power system and its parameters.

[0021] Specifically, in Figure 2, D1211 represents the overall system configuration at a given date and time. D1212 and D1213 store the IDs of the facilities included in each system configuration and the IDs of the equipment included in those facilities. D1212 represents the equipment at the upper layer and stores its ID, various specification parameters, and the IDs of the lower-level equipment. D1213 represents the equipment at the lower layer and, similar to the upper layer, stores its equipment ID and various specification parameters.

[0022] Here, we will explain the upper and lower layers of equipment included in the system configuration. Equipment belonging to the upper layer includes facilities composed of smaller power equipment, such as substations and power plants. Taking a substation as an example, a substation is generally composed of power equipment such as transformers, transmission lines, and busbars, so the lower layer represents a more detailed group of equipment belonging to these upper layer facilities. In other words, the upper layer equipment included in a given system configuration has a system configuration composed of equipment belonging to the lower layer. The parameters of the upper layer are determined from the group of equipment in the lower layer.

[0023] Furthermore, a relational database is assumed as the database. However, it is not limited to this. Therefore, it is necessary to pre-determine the parameters required for the upper layers and construct the database accordingly. In this case, the parameters of the upper and lower layers do not need to match. Accordingly, it is possible to use a data structure in which geographical location information is entered for facilities, but this is considered unimportant and omitted for equipment. For convenience, the terms "upper" and "lower" are used, but it is possible to have a structure with three or more layers using a similar structure. Also, although only transmission system information is entered, information on the distribution system configuration may also be added.

[0024] Figure 3 shows an example of the structure of the work list data 122. The work list data 122 records each work, the details of the work, the equipment to be worked on, and the equipment that will be shut down as a result. As an example, D1221 shown in Figure 3 records the work ID, the details of the work, the equipment to be worked on, and the equipment to be shut down. Here, the equipment to be worked on refers to the equipment on which the work is performed, and the equipment to be shut down refers to the equipment that will become electrically unusable as a result of the operation of the equipment to be worked on. As a specific example shown in D1221, work A has the work details of "maintenance of the busbar", the equipment to be worked on is "Busbar A", and the equipment to be shut down is "Busbar A of XX Substation". D1221 shows the minimum data for the work list, but other data linked to the work ID (for example, candidate dates for the work) may be added.

[0025] Figure 4 shows an example of the structure of future forecast scenario data 123. The future forecast scenario data 123 stores the date and time, the target load at that date and time, the demand value and renewable energy output value at that load. Here, the date and time is assumed to be the date and time on which it is desired whether the work group can be stopped, as the registered date and time. For example, if you want to plan a work stoppage in 2024, the registered date and time will be for 2024. As an example, D1231 shown in Figure 4 records the amount of demand value and renewable energy output value at the target busbar at that date and time, based on the registered date and time and the target busbar. D1231 shows the minimum data for the target busbar, but other data that can estimate the load at a certain date and time may also be used, such as the demand for the entire area instead of the target busbar.

[0026] The data described above may be transferred from another system, or the database itself may reside in another system. The tidal current sensitivity calculation program 124, the reliability / KPI calculation program 125, the work combination generation program 126, the tidal current change equipment extraction program 127, the work importance determination program 128, and the severe system condition extraction program 129 will be described later.

[0027] Figure 5 is a flowchart illustrating the process of classifying work groups based on their importance, as an example of using the work stoppage plan creation support system 1 according to the present invention. Each of the following processing steps in this flowchart is composed of the work stoppage plan creation support program 120 and is executed by the central processing unit 10.

[0028] In processing step S1, the work list data 122 is read, divided by work, and each work is extracted. In addition, the system configuration data 121 is read and passed on to subsequent processing. Processing steps S2 to S8 are executed for each work.

[0029] In processing step S2, the tidal current change equipment extraction program 127 is used to reflect each operation in the system configuration and extract equipment groups whose tidal current changes during this process. Here, the process for calculating the tidal current change is the DC method of tidal current calculation. Although the first example describes the process assuming this DC method of tidal current calculation, this process may be replaced with, for example, the AC method of tidal current calculation or the optimal tidal current calculation. Here, a change in tidal current refers to equipment whose tidal current has changed by more than a specified amount when transitioning from the system before the operation to the system after the operation is reflected. This specified amount is set by the user. The extracted equipment groups and the matrices used in the calculation process are passed on to processing step S3.

[0030] In processing step S3, the tidal current sensitivity calculation program 124 is used to calculate the tidal current sensitivity for the group of equipment whose tidal current changes, which was extracted in processing step S2. Here, the tidal current sensitivity is calculated, for example, by PTDF (Power Transfer Distribution Factors). This is a sensitivity matrix that shows how much the power flowing through each transmission line is affected by the power injection from each load and generator. Since PTDF is calculated in the process of tidal current calculation in processing step S2, it may be carried over and used. The tidal current sensitivity for the group of equipment extracted in processing step S3 is carried over to processing step S4.

[0031] In processing step S4, processing is performed using the severe grid condition extraction program 129. This process reads the future prediction scenario data 123 and the power flow sensitivity generated in processing step 3, and extracts the most severe condition (hereinafter referred to as the "most severe condition") in the prediction scenario data where the objective function or constraint function for the grid / work stoppage plan is most severe, based on the magnitude of the sensitivity of each piece of equipment and the results of the original power flow calculation. Here, the objective function is, for example, the power generation constraint amount or the renewable energy output amount. The constraint function is, for example, whether or not there is a violation of the thermal capacity of the transmission line or whether or not there is a power outage.

[0032] In the prediction scenario data, the most severe conditions refer to the date and time when each of the objective function or constraint function is at its worst. For example, for a power generation constraint, a date and time with high power output and low load is selected, while for a transmission line's thermal capacity, a date and time with high load is selected. This is extracted for each objective function or constraint function. The sets of most severe conditions extracted for each are then passed on to processing step S5.

[0033] In processing step S5, one condition is selected from the set of most severe conditions extracted for each objective function or constraint function, and carried over to the subsequent processing. Processing steps S6 and S7 are performed for each most severe condition.

[0034] In processing step S6, the system configuration data 121 is updated to reflect the data for the most severe conditions inherited from processing step S5 and the work extracted in processing step S1. That is, the original system configuration data is corrected with the scenario for the most severe date and time, and then the work stoppage is reflected. The resulting severe system configuration data at the time of stoppage is then passed on to processing step S7.

[0035] In processing step S7, processing is performed using the reliability / KPI calculation program 125. This process applies analysis methods such as power flow calculation to the severe grid configuration data generated in processing step S6 and calculates a predetermined objective function or constraint function. Here, the objective function or constraint function is the same as that described in processing step S4. By using existing methods, each condition such as power generation constraint amount, renewable energy output, heat capacity violation, and presence or absence of power outage can be analyzed. The values ​​analyzed for each of these conditions, the constraint values, and the presence or absence of constraint violations are passed on to processing step S8.

[0036] In processing step S8, processing using the work importance determination program 128 is executed. This work importance determination program 128 determines and classifies (groups) the importance of each task, indicating how much impact it has on the system, based on the value under the most severe conditions and using a threshold value set by the user.

[0037] For example, regarding the constraint function of heat capacity, operations that could result in serious constraint violations under the most severe conditions are of high importance to the grid. On the other hand, operations that do not result in constraint violations even under the most severe conditions are of low importance to the grid. Similarly, regarding the objective function, operations that cause a serious deterioration of the power generation constraint under the most severe conditions are of high importance to the grid. On the other hand, operations that have no impact on the power generation constraint even under the most severe conditions are of low importance to the grid.

[0038] In this way, for each objective function or constraint function, tasks are classified into a task classification table predetermined by the user based on thresholds. Once a task has been classified, it is stored in the database, and the process returns to processing step S1 to begin classifying another task. When processing is complete for all tasks, the results are passed on to processing step S9.

[0039] In processing step S9, the data generated up to processing step S8 is registered or output to the database.

[0040] FIG. 6 is a diagram showing an example of the output by processing step S9. In FIG. 6, operations classified according to importance are displayed in tabular form, and the classification of importance has three levels, but it is not limited to this, and it may have three or more levels according to user settings.

[0041] As described above, according to the first embodiment, operations can be classified according to their importance from assumed future data. Operations with high importance have a great impact on the system when stopped. That is, in order to indicate that they are operations that are difficult to schedule in the operation stop plan, they serve as an index when formulating the operation stop plan and can assist the work of the person formulating the operation stop plan.

[0042] In addition, according to the first embodiment, for the input number of operations N, the amount of calculation is N×(the number of objective functions or constraint functions). Therefore, when formulating an operation stop plan for a large number of operations described in the following embodiments within the constraint time, by using it, the importance classification of operations can be performed without increasing the amount of calculation.

[0043] Embodiment 2 according to the present invention relates to a method for formulating an operation stop plan that can perform high-speed and detailed evaluation by using the classification according to the importance of operations shown in the previous embodiment 1.

[0044] Hereinafter, an aspect in the case where the power generation constraint amount is minimized as the objective function of the operation stop plan and the heat capacity is considered as the constraint function will be described. Also, the description of the same operation modes in the same component parts as in the first embodiment will be omitted.

[0045] FIG. 7 is a diagram showing a flowchart of the process of formulating an operation stop plan as Embodiment 2 using the operation stop plan creation support system 1 according to the present invention. Each of the following processing steps according to this flowchart is constituted by the operation stop plan creation support program 120 and is executed by the central processing unit 10, similar to the first embodiment. Note that processing steps S6 and S7 in the figure are steps with the same content as in the first embodiment.

[0046] Processing step S10 represents the processing steps S1 to S8 in Example 1 in one step, and the internal processing mode is the same as that in Example 1. As shown in the description of the previous Example 1, the work is classified using a predetermined threshold from the perspective of importance. Each work group (each work group) classified and grouped into a predetermined number is carried over to processing step S11.

[0047] In processing step S11, the work groups are taken out in descending order of importance from the work groups classified in descending order of importance carried over from processing step S10 and carried over to the subsequent work. The subsequent processing steps S12 to S15 are executed for each work group.

[0048] In processing step S12, as a process using the work combination generation program 126, a combination of works that can be simultaneously stopped within the work group is generated. For example, when there is no constraint function for simultaneously executing works, all combinations of works existing in the same group are generated in this processing step S12. When generating this combination, the user may input or refer to other data to limit the combination by setting a prohibition constraint on simultaneous stop and an upper limit number of works that can be performed in a day. Regarding the generated work combinations, each combination is carried over to the processing steps after processing step S13. Processing steps S13 and S14 are executed for each combination of works.

[0049] In processing step S13, a certain date and time are selected and extracted within the period for formulating the work stop plan. For example, when formulating the work stop plan for 2023, if the granularity of the date and time to be analyzed is every hour, in this step S13, 365 days * 24 hours of analysis is required. Each of these dates and times is taken out and carried over to the next processing step. The subsequent processing steps S6 to S14 are executed for each date and time.

[0050] In processing step S14, it is determined whether there are any constraint violations in the system state when each date and time and each operation combination in processing steps S6 and S7 is stopped, and whether it is possible to perform work in the relevant cross section. If heat capacity is selected as the constraint function, it is determined whether there is a heat capacity violation due to the stop in the relevant cross section, and if there is a violation, it is determined that stopping is not possible, and if there is no violation, it is determined that stopping is possible.

[0051] If it is possible to stop the process, the relevant date and time, the work combination, and the value of the objective function resulting from that stoppage are passed on to processing step S15. If there are work combinations or dates and times that have not yet been analyzed, the process is rolled back to processing step S12 or processing step S13.

[0052] In processing step S15, based on the results obtained in processing step S14 and the objective function value obtained in processing step S7, the system calculates which work combination to plan for which date and time will result in the best objective function when the work group is stopped, and then finalizes the plan.

[0053] One method for calculating the optimal time and date for scheduling work groups, taking into account simultaneous shutdowns, to achieve the best plan objective function is the "greedy algorithm." In this case, the objective function is the power generation constraint, so by scheduling tasks in order of the largest power generation constraint and then to the time and date where the power generation constraint can be improved, a better plan can be obtained.

[0054] If other work groups remain, the process is rolled back to processing step S11 and the same process is performed for the other work groups. Once processing is complete for all work groups, the results are passed on to processing step S16.

[0055] In processing step S16, the work stop plan data generated up to processing step S15 is registered or output to the database.

[0056] Figure 8 shows an example of the output from processing step S16. In Figure 8, the work stoppage plan is displayed in a tabular format for each work group (vertical direction) and date / time (horizontal direction). The filled area indicates the work stoppage date, and the bottom row shows the power generation constraint amount (the amount of power generation that needs to be reduced) due to the stoppage at the corresponding date and time.

[0057] As described above, according to Example 2, it is possible to formulate an optimal work stoppage plan using work groups. In addition, the work stoppage planning method in Example 2 has the effect of reducing computation time by reducing the number of combinations when performing tasks simultaneously. Here, if work groups are not used, it is not possible to obtain a dense and optimal work stoppage plan without generating all combinations of tasks that can be stopped at a given date and time, and calculating whether each can be stopped and what the value of the objective function will be at the time of stopping.

[0058] Furthermore, according to Example 2, since tasks are planned in stages for each task group according to the importance of the tasks, the combinations of tasks to be considered in a single calculation are generated for each group. Therefore, it is possible to significantly reduce the number of task combinations compared to when all tasks are combined.

[0059] Embodiment 3 of the present invention adds a classification based on connection relationships to the importance of the equipment to be stopped, in addition to importance, to the system for classifying tasks according to importance shown in Embodiment 1. This makes the classification even more detailed, reduces the number of task combinations described in Embodiment 2, and further speeds up calculations.

[0060] The operation of Example 3 will be described below. Note that the explanation will be omitted for parts with the same configuration and operation as in Example 1. Furthermore, the operation shown in Example 3 can also be used for the work stoppage planning described in Example 2.

[0061] Figure 9 is a flowchart illustrating a process for adding a classification of connection relationships in addition to importance, using the connection relationships of the equipment to be stopped, as in Example 3 of the work stoppage plan creation system according to the present invention. Each of the following processing steps in this flowchart is configured by the work stoppage plan creation support program 120, as in Examples 1 and 2, and is executed by the central processing unit 10. In Example 3, each of the following processing steps is executed by the work stoppage plan creation support program 120, but this is not a constraint, and as in Example 1 or Example 2, they may be configured as individual programs and executed in conjunction with the work stoppage plan creation support program 120.

[0062] Processing step S10 represents processing steps S1 to S8 in Example 1 as a single step, and the internal processing mode is the same as in Example 1. As described in the previous explanation of Example 1, the tasks are classified using a predetermined threshold from the perspective of importance. Each task group (each task group) that has been classified and grouped into a predetermined number is passed on to processing step S1.

[0063] In processing step S1, each work group is extracted from one of the work groups inherited from processing step S10.

[0064] In processing step S18, the connection relationships of the equipment to be worked on are searched for for each task extracted in processing step S1. The equipment to be searched is equipment that is connected in series with the equipment to be worked on, and for which there are no other power transmission paths (in other words, other equipment connected in parallel with the equipment to be searched) from the perspective of the equipment to be worked on. This process also serves to extract equipment whose reliability will be equally reduced when the equipment in question stops. The search results are then passed on to processing step S19.

[0065] In processing step S19, the system searches whether the equipment discovered in processing step S18 is also the target equipment for other operations. If it is included in the target equipment, the equipment is passed on to processing step S20.

[0066] In processing step S20, the equipment searched and extracted in processing step S19 is linked to the equipment to be worked on and classified as a group with a connection relationship. Since classification by importance has already been performed when processing step S10 is completed, processing step S20 performs further classification based on a new axis. If there are any unprocessed tasks, the process is returned to processing step S1 and the same processing as before is performed, and the processing results are passed on to processing step S21.

[0067] In processing step S21, the data generated up to processing step S20 is registered or output to the database.

[0068] Figure 10 shows an example of the output from processing step S20. In Figure 10, tasks (grouped) are displayed in a tabular format, classified by importance (vertical direction) and connection relationship (horizontal direction). In the example shown in Figure 10, the importance classification is divided into three levels, but more than three levels may be used depending on the user's settings.

[0069] Based on the above, in Example 3, classification based on connection relationships can be added to the tasks in addition to importance. Tasks classified in the same connection area are likely to experience the same level of reliability degradation when stopped simultaneously as when stopped individually, and can therefore be prioritized when generating combinations of tasks to stop simultaneously. In addition, when considering system switching operations, tasks classified in the same connection area will include equipment that will be affected by the same switching operation when switching systems. Thus, the classification output by Example 3 can be used as an indicator when considering system switching when planning work stoppages, and tasks with equipment affected by the same switching operation can be extracted.

[0070] According to the embodiments described above, the present invention encompasses at least the following embodiments. <Embodiment 1> A power system work stoppage plan creation support system comprising at least a processing unit and a storage unit, wherein the storage unit stores work list data including information on work in one or more power systems, system configuration data including information on equipment belonging to the power system, and future forecast scenario data including power demand forecasts and renewable energy output forecasts for loads at future dates and times, and the processing unit reads each data from the storage unit and performs a first function to extract equipment whose power flow changes by a specified amount when the equipment is stopped due to work from the work list data and system configuration data, performs a second function to calculate the power flow sensitivity for the extracted equipment, performs a third function to extract the most severe conditions in which the objective function or constraint function for the work stoppage plan is worstened from the future forecast scenario data using the calculated power flow sensitivity, performs a fourth function to calculate the objective function or constraint function when the work is carried out according to the extracted most severe conditions, and performs a fifth function to determine the importance to the power system when the work is carried out from the calculated value of the objective function or constraint function.

[0071] <Aspect 2> The work stop plan creation support system described in Aspect 1 above, wherein the processing unit performs a sixth function of extracting and grouping tasks having the same importance, and a seventh function of generating combinations of tasks that may be stopped simultaneously for each group of grouped tasks.

[0072] <Aspect 3> The work stop plan creation support system described in Aspect 2 above, wherein the processing unit determines the possibility of stopping a combination of tasks that may stop simultaneously within the same group that has been generated, based on the value of the constraint function when such combination of tasks is stopped, and if such stopping is possible, executes a work stop plan creation function that determines the work stop plan based on the objective function for each combination of tasks.

[0073] <Aspect 4> A work stoppage plan creation support system as described in aspect 2 or 3 above, wherein the processing unit searches for equipment that is connected in series with the equipment to be worked on and does not have any other equipment connected in parallel with it, extracts cases where the searched equipment is included as equipment to be worked on by other work, and executes a connection relationship grouping function that groups work that has equipment to be worked on that has a connection relationship with the extracted equipment.

[0074] <Aspect 5> The work stoppage plan creation support system described in Aspect 4 above, wherein the processing unit executes a work extraction function that extracts work that has equipment affected by the same power system switching operation, based on the connection relationships of the equipment to be worked on and the configuration of the power system, and the equipment that is subject to switching of the power system.

[0075] <Aspect 6> A work stoppage plan creation support system as described in any of the above aspects 1, 3, or 4, wherein the processing unit holds and displays the execution result of the fifth function, the work stoppage plan formulation function, or the connection relationship grouping function.

[0076] <Aspect 7> A method for supporting the creation of a work stoppage plan in a power grid, comprising: a first step of extracting equipment whose power flow changes by a specified amount when the equipment is stopped due to work from work list data including information on work in one or more power grids and grid configuration data including information on equipment belonging to the power grid; a second step of calculating the power flow sensitivity for the extracted equipment; a third step of using the calculated power flow sensitivity to extract the most severe conditions in which the objective function or constraint function for the work stoppage plan is most severely affected from future forecast scenario data including power demand forecasts and renewable energy output forecasts for future dates and times; a fourth step of calculating the pre-objective function or constraint function when the work is carried out according to the extracted most severe conditions; and a fifth step of determining the importance to the power grid when the work is carried out from the calculated objective function or constraint function.

[0077] <Aspect 8> The work stoppage plan creation support method described in aspect 7 above, further comprising a sixth step of extracting and grouping tasks of the same importance, and a seventh step of generating combinations of tasks that may stop simultaneously for each group of grouped tasks.

[0078] <Aspect 9> The work stop plan creation support method described in aspect 8 above, further comprising: an eighth step of determining the possibility of stopping a combination of tasks that may stop simultaneously within the same group that has been generated, based on the value of the constraint function when such combination of tasks is stopped; and a ninth step of determining a work stop plan based on the objective function for each combination of tasks if such stopping is possible.

[0079] <Aspect 10> A work stoppage plan creation support method as described in Aspect 8 or 9 above, further comprising a connection relationship grouping step consisting of: searching for equipment that is connected in series with the equipment to be worked on and has no other equipment connected in parallel with it, based on the connection relationship with the equipment to be worked on; extracting cases in which the searched equipment is included as equipment to be worked on by other work; and grouping work that has equipment to be worked on that has a connection relationship with the extracted equipment.

[0080] <Aspect 11> The work stoppage plan creation support method described in aspect 10 above, further comprising a work extraction step of extracting work that has equipment affected by the same power system switching operation, based on the connection relationships of the equipment subject to work and the configuration of the power system, and the equipment subject to switching of the power system.

[0081] Although embodiments 1 to 3 have been described above as examples for carrying out the present invention, the present invention is not limited to the embodiments described above, and various modifications are possible without departing from the spirit of the present invention.

[0082] 1...Work Stop Plan Creation Support System, 10...Central Processing Unit, 11...Main Memory Unit, 12...Auxiliary Memory Unit, 13...Communication Unit, 14...Input Unit, 15...Output Unit, 20...External System, 120...Work Stop Plan Creation Support Program, 121...System Configuration Data, 122...Work List Data, 123...Future Prediction Scenario Data, 124...Power Current Sensitivity Calculation Program, 125...Reliability / KPI Calculation Program, 126...Work Combination Generation Program, 127...Power Current Change Equipment Extraction Program, 128...Work Importance Determination Program, 129...Severe System Condition Extraction Program

Claims

1. A power system work stoppage plan creation support system comprising at least a processing unit and a storage unit, wherein the storage unit stores work list data including information on work in one or more power systems, system configuration data including information on equipment belonging to the power system, and future forecast scenario data including power demand forecasts and renewable energy output forecasts for future dates and times, the processing unit reads each of the data from the storage unit, performs a first function of extracting equipment from the work list data and the system configuration data for which the power flow changes by a specified amount when the equipment is stopped due to the work, performs a second function of calculating the power flow sensitivity for the extracted equipment, performs a third function of extracting the most severe conditions for which the objective function or constraint function for the work stoppage plan is worstened from the future forecast scenario data using the calculated power flow sensitivity, performs a fourth function of calculating the objective function or constraint function when the work is performed according to the extracted most severe conditions, and performs a fifth function of determining the importance of the work to the power system when the work is performed from the calculated value of the objective function or constraint function.

2. A work stoppage plan creation support system according to claim 1, wherein the processing unit performs a sixth function of extracting and grouping the tasks having the same importance, and performs a seventh function of generating combinations of tasks that may be stopped simultaneously for each group of the grouped tasks.

3. A work stop plan creation support system according to claim 2, wherein the processing unit determines the possibility of stopping a combination of tasks that may be stopped simultaneously within the same group generated, based on the value of the constraint function when such combination is stopped, and if such stopping is possible, executes a work stop plan formulation function which determines the work stop plan based on the objective function for each combination of tasks.

4. A work stoppage plan creation support system according to claim 2 or 3, wherein the processing unit searches for equipment that is connected in series with the equipment that is the target of the work and does not have any other equipment connected in parallel with it, extracts cases in which the searched equipment is included as equipment that is the target of other work, and performs a connection relationship grouping function that groups work that has a connection relationship with the extracted equipment and has equipment that is the target of the work.

5. A work stoppage plan creation support system according to claim 4, wherein the processing unit executes a work extraction function that extracts work having equipment affected by the same power system switching operation, based on the connection relationships of the equipment subject to the work and the configuration of the power system, and the equipment subject to the switching of the power system.

6. A work stoppage plan creation support system according to claim 1 or 3, wherein the processing unit holds and displays the execution result of the fifth function or the work stoppage plan formulation function.

7. A work stoppage plan creation support system according to claim 4, wherein the processing unit holds and displays the execution result of the connection relationship grouping function.

8. A method for supporting the creation of a work stoppage plan in a power grid, comprising: a first step of extracting equipment from work list data including information on work in one or more power grids and grid configuration data including information on equipment belonging to the power grid, the equipment whose power flow changes by a specified amount when the equipment is stopped due to the work; a second step of calculating the power flow sensitivity for the extracted equipment; a third step of using the calculated power flow sensitivity to extract the most severe conditions in which the objective function or constraint function for the work stoppage plan is most severely affected from future forecast scenario data including power demand forecasts and renewable energy output forecasts for future dates and times; a fourth step of calculating the objective function or constraint function when the work is performed according to the extracted most severe conditions; and a fifth step of determining the importance of the work to the power grid when the work is performed based on the calculated objective function or constraint function.

9. A method for creating a work stoppage plan according to claim 8, further comprising: a sixth step of extracting and grouping the tasks having the same importance; and a seventh step of generating combinations of tasks that may be stopped simultaneously for each group of the grouped tasks.

10. A method for creating a work stop plan according to claim 9, further comprising: an eighth step of determining the possibility of stopping a combination of work from the value of the constraint function when a combination of work that may be stopped simultaneously within the same group generated is stopped; and a ninth step of determining a work stop plan based on the objective function for each combination of work if such stopping is possible.

11. A method for creating a work stoppage plan according to claim 9 or 10, further comprising a connection relationship grouping step, which includes the steps of: searching for equipment that is connected in series with the equipment subject to the work and has no other equipment connected in parallel with it, based on the connection relationship with the equipment subject to the work; extracting cases in which the searched equipment is included as equipment subject to other work; and grouping work that has a connection relationship with the extracted equipment and has equipment subject to the work.

12. A work stoppage plan creation support method according to claim 11, further comprising a work extraction step of extracting work that has equipment affected by the same power system switching operation, based on the connection relationships of the equipment subject to the work and the configuration of the power system, and the equipment subject to the switching of the power system.

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