JP2021114821A - Server device, power conversion device, power system, and power conversion device management method - Google Patents

Abstract

To efficiently change functions of a power conversion device connected to a power system while suppressing an impact on other devices.SOLUTION: A distribution server 101 that communicates with a power conversion device (PCS) connected to a power system accepts input of update software that changes a function of the PCS and input of PCS information indicating at least the rated capacity of the PCS. A target PCS selection function 15 of the distribution server 101 selects a selection target so that the total rated capacity is within a predetermined range when selecting the distribution target to which the update software is transmitted from the PCS to which the update software is to be applied.SELECTED DRAWING: Figure 2

Description

The present invention relates to the management of a power converter connected to a power system.

In recent years, the connection capacity of renewable energy power generation, mainly solar power generation and wind power generation, to the power system has been increasing. Most of these devices are connected to the power system via a power converter, and by giving this power converter various functions, it is wider than the case of controlling only a conventional generator. It is becoming possible to operate the power system. The power conversion device has names such as an inverter and a power conditioner (PCS), but in this specification, it is described as a power conversion device or a PCS.

As PCS is making it possible to operate a wide range of electric power systems, the situation regarding electric power systems is changing drastically due to the revision of electric power system operation systems and the opening of trading markets all over the world.

On the other hand, once PCS is introduced, its function is rarely changed or expanded, and its function does not change until the end of its life of 15 to 20 years. However, due to changes in the situation regarding the above power system, in order to make it possible to change and expand the functions of the PCS and contribute to improving the system stability of the power system, there is a technology to change or expand the functions of the PCS with software. It is being considered.

One of the tasks that occurs when a PCS whose function is changed or expanded by software is introduced is software or firmware update work. Conventionally, when updating the software or firmware of the PCS for maintenance, etc., it is necessary to connect the terminal for rewriting the software or firmware to the PCS and rewrite it. Many costs were incurred. In the future, it is expected that software or firmware updates themselves will be carried out remotely.

For example, according to Patent Document 1, a technique for preventing equipment malfunction during updating is described on the assumption that the firmware of home appliances is updated remotely.

Japanese Unexamined Patent Publication No. 2013-12107

When the function of the PCS is changed, especially when the number of PCSs whose function has been changed is large, it is necessary to carefully consider the influence of the PCS on other devices connected to the power system. For example, in recent years in Japan, voltage flicker was confirmed during the daytime on public holidays in a system where a large amount of PCS for photovoltaic power generation was introduced, but this was caused by the setting of the independent operation prevention function of the PCS for photovoltaic power generation. It is said to be a thing. In this way, when a large number of PCSs are introduced, or when new functions are changed or added to a large number of existing PCSs, the possibility of undesired effects on other devices in the power system is suppressed. However, Patent Document 1 does not mention such a function. Patent Document 1 only protects the device to be updated. For these reasons, it is required to protect other devices connected to the same power system even if an abnormality occurs in the power conversion device whose function has been changed.

An object of the present invention is to make it possible to efficiently change the function of a power conversion device connected to a power system while suppressing the influence on other devices.

In order to solve the above problems, in the present invention, the function change data for changing the function of the power conversion device is acquired, the information about the power conversion device is acquired as the device data, and the power conversion device to which the function change data is applied is applied. A part of is selected as the distribution target of the function change data, and the function change data is distributed to the power conversion device selected as the distribution target, based on the power supply capacity of the power conversion device included in the device data. To select the distribution target.

According to the present invention, it is possible to efficiently change the function of the power conversion device connected to the power system while suppressing the influence on other devices. Other issues, configurations and effects will be clarified by the description of the following embodiments.

The figure which shows the configuration example of the electric power system, PCS and a distribution server in Example 1. FIG. The figure which shows the configuration function of the distribution server in Example 1. FIG. The figure which shows the list example used by the target PCS selection function 15 in Example 1. FIG. The figure which shows the flow of the distribution of the update software in Example 1. FIG. The figure which shows the configuration example of the electric power system, PCS and a distribution server in Example 2. FIG. The figure which shows the configuration function of the distribution server in Example 3. FIG. The figure which shows the flow of the distribution of the update software in Example 3. FIG. The figure which shows the flow of the distribution of the update software in Example 3. FIG. The figure which shows the position of the PCS updated by the target PCS selection function 15 in Example 4. FIG. The figure which shows the list used by the target PCS selection function 15 in Example 5.

Hereinafter, examples of the present invention will be described with reference to the drawings. The scope of the present invention is the distribution server 101 in FIG. The distribution server 101 corresponds to a server device within the scope of claims.

FIG. 1 is a diagram showing a configuration example of a power system, a PCS, and a distribution server in the first embodiment. That is, FIG. 1 shows the configuration of the distribution server according to the present invention, the PCS connected to the distribution server, and the configuration of the power system to which the PCS is connected. First, the configuration of the power system will be described.

In the illustrated example of FIG. 1, the power system is connected to a power system 102 composed of a generator, a load, a transmission line, and a substation representing a conventional large-scale power source, a branch (line) 103 connected to the power system 102, and a branch. It is composed of a bus 104, a feeder (power supply line) 105 connected to the bus, and each PCS 106 connected to the feeder. In each PCS 106, there are PCSs to which the newly created update software can be applied and PCSs to which the newly created update software cannot be applied. In this embodiment, the former is referred to as an applicable PCS and distinguished. In FIG. 1, only three feeders and four PCS106s are described in each feeder 105, but the present invention may be applied to a plurality of feeders, and the present embodiment includes such cases. ..

The PCS 106 is connected to the distribution server 101 via the communication network 107, the distribution server 101 transmits software for updating the software or firmware of the PCS 106, or update software for updating the firmware, and each PCS 106 transmits each PCS information. The update software is function change data that changes the function of the PCS 106 by updating the software that controls the operation of the PCS 106. The PCS information is device data indicating information about the PCS.

Each PCS information includes the rated capacity of each PCS 106, the model, and the ID of the PCS that can identify each PCS. In addition to that, the position of the PCS 106 or the position information of the feeder 105 to which the PCS 106 is connected and the bus 104 to which the feeder 105 is connected, the rated voltage, the upper limit of each output change rate, the number of years of operation, the output record, the operation / stop state, and maintenance. It may include any one or more of the implementation times. Further, although the distribution server 101 is represented by one in FIG. 1, a plurality of distribution servers 101 may exist, and such a case is also included in this embodiment.

Next, FIG. 2 shows the functional configuration of the distribution server 101. From the PCS information input interface (IF) 11 for inputting each PCS information to the distribution server 101, the update software input IF12 for inputting the update software created outside the distribution server 101 to the distribution server 101, and each PCS 106. Distribution request input IF13 for receiving the distribution request, update software output IF14 for distributing the update software to the PCS106, target PCS selection function 15 for selecting the distribution target PCS to be updated by distributing the update software among PCS106, each Target PCS selection gateway (GW) 16 that determines the distribution target using the distribution request from PCS106 and the information of the selected PCS as the distribution target, and each input PCS information, update software, and PCS information selected as the distribution target. It is composed of a storage device 17 that stores the software.

In the algorithm for determining the distribution target PCS used in the target PCS selection function 15, the distribution target PCS is determined using each PCS information and the total updatable PCS capacity of each feeder 105 set in advance. The total updatable capacity of the PCS is the fluctuation of the output of other equipment connected to the power system when the PCS106 malfunctions from the steady operation state, for example, when the output of the active power and the inactive power is suddenly stopped. The maximum value of the total capacity of the PCS 106 for each feeder 105, which satisfies the condition of not causing a stop or failure, is shown. This is because, for example, the active power output from the PCS 106 is stopped, the frequency of the power system is lowered, and the active power output is stopped in order to prevent other generators from being disconnected for equipment protection. It can also be determined that the fluctuation range of the frequency of the electric system is within a predetermined range, for example, the total capacity of the PCS 106 within 0.02 p.U. The total renewable PCS capacity can be used in the target PCS selection function 15 by obtaining it in advance by analyzing the power system and inputting it to the storage device 17.

Further, in this embodiment, an example of a steep output stop of active power and ineffective power is given as an abnormality of PCS106, but other cases where the active power and inactive power reach the upper and lower limit values that can be output instantly are also included. Is done. Similarly, the case where the output fluctuates to promote the fluctuation of the voltage amplitude, frequency and phase is also included. Furthermore, as a phenomenon caused as a result of the abnormality of PCS106, the stoppage / failure of other devices connected to the power system is cited as an example of the condition, but this phenomenon also exceeds the limit of the voltage stability of the power system. It may be that. In addition, the frequency stability of the power system may exceed the limit. In addition, it may cause step-out of the generator. In addition, the transmission / distribution line may be overloaded. This example shall include them.

The algorithm used in the target PCS selection function 15 using the total updatable PCS capacity is shown with reference to FIG. FIG. 3 shows a list of applicable PCSs extracted using the model of PCS106 from those received by the PCS information input IF11 of the rated capacity of the PCS106 connected to each feeder 105 and the ID and model of each PCS106. .. Sort by rated capacity using this list, and select the PCS to be distributed so that the maximum number of PCS that does not exceed the total renewable PCS capacity is obtained by summing up from the one with the smallest rated capacity. In this embodiment, for the purpose of selecting as many units as possible at one time, a method of taking the sum from the one with the smallest rated capacity is shown as an example, but as another method, the sum is taken from the one with the largest rated capacity. You may take it. In addition, other information obtained from each PCS information may be used to exclude from the selection target. For example, a condition may be added such that PCS having a certain number of years of operation or longer is excluded from the distribution target, and this embodiment includes such a case.

Further, the applicable PCS may be indicated in the PCS information or may be selected by the target PCS selection function 15. For example, if the version of the update software and the conditions of the target device are transmitted from the distribution server 101 to the PCS 106, the PCS 106 determines whether or not the own device is applicable, and the PCS information is based on the own device or the applicable device. It can include the presence or absence. Further, if the PCS information includes the model of the PCS 106 and the version of the software in use, the target PCS selection function 15 can refer to these and select the application target. When the target PCS selection function 15 selects both the application target and the distribution target, the target PCS selection function 15 has a function as an application target selection means in addition to a function as a distribution target selection means within the scope of claims. Will be prepared.

FIG. 4 shows a series of flows for distributing the update software. In the processing step S401, each PCS 106 transmits the PCS information to the distribution server 101 at an arbitrary timing. As an example, there is a timing when each PCS 106 or its owner receives a notification that the update software applicable to the PCS 106 can be distributed, and this embodiment includes such a case.

In the processing step S402, each PCS information transmitted by the distribution server 101 is received by the PCS information receiving IF and stored in the storage device 17.

In the process step S403, the target PCS selection function 15 selects the PCS 106 to be distributed.

Each PCS106 transmits a distribution request for update software and an ID of its own device in processing step S404. This distribution request is transmitted by the PCS 106 to the distribution server 101 at an arbitrary timing. As an example, there is a timing when each PCS 106 or its owner suspends the operation of the PCS 106 and the software can be updated, and this embodiment includes such a case.

The distribution server 101 receives the distribution request and ID from each PCS106 by the distribution request input IF13 in the processing step S405, and then in the processing step S406, the distribution request and the distribution target in the storage device 17 in the target PCS selection GW16. The information is used to determine the PCS106 to which the update software will be distributed.

The distribution server 101 transmits the update software to the PCS 106 determined as the distribution destination in the processing step S407.

Each PCS106 determines whether or not the update software has been received in the processing step S408. If the determination result is NO, the processing flow ends here, and if the determination result is YES, the update is performed in the processing step S409 and the processing flow ends.

Once this series of flows is completed, after waiting for a certain period of time, it is executed again from the beginning, and is repeated until the update software is distributed to all the applicable PCSs. The waiting period for a certain period between repetitions can be arbitrarily set by the distribution server 101 side.

According to this embodiment, the update software can be partially distributed to each PCS 106 without being distributed all at once, and therefore the software of each PCS 106 is also partially updated. As a result, even if the PCS 106 is in an emergency stop due to the update software, the PCS 106 can be updated without causing a stop or failure in other devices in the power system. For example, by setting the standby period to one week in which the power flow pattern is repeated, it can be confirmed that the update software has no problem with the power flow pattern for one week. However, this period may be arbitrarily set such as one day or one month other than one week, and this embodiment includes such a case. Similarly, by setting the end of the standby period to the system state under a certain condition, it can be confirmed that the update software has no problem with the system state, and this embodiment includes such a case.

In the second embodiment, a plurality of distribution servers 101 are used for the first embodiment, and the selection algorithm used in the target PCS selection function 15 is changed to another algorithm. FIG. 5 shows a server configuration according to this embodiment and a partial configuration of a power system connected to the server. The difference from FIG. 1 is that the distribution server 101 has been changed to a plurality of distribution servers 504.

In this embodiment, it is confirmed that the update software is created according to the specifications by the same functional specification test after being created by a plurality of completely independent software creation groups using one functional specification.

After confirming whether the update software has been created according to the specifications, each update software is input to the individual distribution server 504.

After that, each distribution server 504 executes the same processing as in the first embodiment, but the target PCS selection function 15 uses another condition for selecting the PCS to be distributed. Each distribution server 504 distributes the update software by sharing the value obtained by dividing the total renewable PCS capacity evenly. For example, after the distribution server 504a selects a distribution target for each feeder, the distribution target information is transmitted to the distribution server 504b and the distribution server 504c. The distribution server 504b determines the distribution target after removing the PCS selected as the distribution target by the distribution server 504a from the options, and transmits the information of the distribution target to the distribution server 504a and the distribution server 504c. The distribution server 504c determines the distribution target after excluding the PCS selected as the distribution target by the distribution server 504a and the distribution server 504b from the options.

According to this embodiment, each distribution server 504 can distribute the update software to the number of PCSs that do not exceed the total renewable PCS capacity, and distribute the update software so as not to overlap. When this example is applied, it is possible to reduce the range affected by a single update software or a defect of the distribution server, especially an attack from a third party, by the amount of multiplexing of the distribution server, which is a risk. Will be reduced.

In the third embodiment, a change in the functional configuration of the distribution server 101 and an embodiment in which a series of flows are changed will be described with respect to the first embodiment. FIG. 6 shows the functional configuration of the distribution server 601 in this embodiment. The difference from FIG. 2 is that a system information input IF61 and an update information notification IF62 for inputting system information and system analysis results are newly added.

The system information input IF61 includes the assumed power flow state of the power system, or the system topology, load forecast information, and weather forecast information. It may also include systematic analysis conditions such as failure type conditions and analysis results. Further, the total renewable PCS capacity used in the first embodiment may also be input from the system information input IF61, and this embodiment includes such a case. The update information notification output IF62 notifies each PCS 106 that new update software has been input to the distribution server 601.

FIG. 7 shows a series of flows for distributing the update software in this embodiment. In the process step S601, the update software input IF12 of the distribution server 601 accepts the input of the new update software.

In the process step S702, the update information notification output IF62 transmits the newly input version of the update software and the model of the target PCS106 to each PCS106 as an update notification.

After receiving the update notification in the processing step S703, each PCS106 determines whether or not the own device is the application target by using the notification content in the processing step S704. If the determination result is NO, the flow ends. If the determination result is YES, the PCS information is transmitted to the distribution server 601 in the processing step S705.

In the process step S706, the distribution server 601 receives each transmitted PCS information. Since the PCS information is transmitted from the applicable PCS 106, the received PCS information indicates which PCS 106 is the applicable target. Further, the distribution server 601 inputs the system information and the result of the system analysis to the system information input IF61 in the processing step S707.

The distribution server 601 selects the PCS to be distributed in the processing step S708. As an example, a case where the operation / stop state of each PCS information is used will be described. By using the operating / stopped state of each PCS, it is possible to correct the assumed tidal current state and carry out system analysis on the premise of the tidal current that is more suitable for the actual situation. As a result, the accuracy of the total renewable PCS capacity is improved. Further, the PCS in the stopped state can be excluded from the distribution target in advance, and the efficiency of selecting the PCS to be the distribution target is improved.

In the process step S709, the update information output IF 62 distributes the selection result to each PCS 106 to be applied. That is, each PCS 106 to be applied receives the result of whether or not its own device has become the distribution target.

In the process step S710, the PCS 106 receives the result of the selection, and uses the result to perform the determination in the process step S711. If the determination result is NO, the system enters a standby state, receives the next update notification, and repeats from the process step S703. If the determination result is YES, the distribution request is transmitted to the distribution server 601 in the processing step S712.

In the processing step S713, the distribution server 601 receives the distribution request in the distribution request input IF13, determines the distribution destination using the target PCS selection GW16 in the processing step S714, and distributes the update software to the distribution destination PCS106. do.

The PCS 106 is updated in the processing step S715, and the processing on the PCS side is terminated. After the processing step S714, the distribution server 601 determines in the processing step S716 whether or not the distribution is completed for all the application target PCSs. If the determination result is YES, a series of flows ends. If the determination result is NO, a temporary wait for a certain period is performed in the processing step S717.

This fixed period may be set to an arbitrary period as in the above-mentioned fixed period in the first embodiment, or may be set to end the standby state under certain conditions.

In the process step S718, the distribution server 601 determines whether or not the fixed period has expired. If the determination result is NO, the temporary standby is continued, and if the determination result is YES, the update notification is executed again in the processing step S702. The above is the processing flow in this embodiment.

According to this embodiment, the update software can be partially distributed to each PCS 106 without being distributed all at once, and therefore the software of each PCS 106 is also partially updated. Further, by using the assumed power flow state of the power system and the operation / stop information of each PCS information from the system information input IF61, it is possible to improve the analysis accuracy and the efficiency of selecting the PCS to be updated. Further, the presence / absence of the update notification and the result of the distribution selection are notified from the update information output notification IF 62 from the distribution server 601 so that the amount of communication from each PCS 106 to the distribution server 601 can be suppressed.

In the fourth embodiment, an embodiment in which another condition is used for the target PCS selection function 15 will be described with respect to the first embodiment. FIG. 8 shows an example of the position of the distribution target PCS selected by the target PCS selection function 15. In the figure, the PCS 106 in which the update software is distributed and the functions such as measurement and calculation are changed is displayed in gray. The target PCS selection function 15 selects the distribution target PCS by adding the condition that the PCS selected as the distribution target using the location information in each PCS information is next to the PCS not selected as the distribution target. do.

This condition is newly selected by, for example, sorting the list as shown in FIG. 3 by the rated capacity using the total updatable PCS capacity, and using the position information when selecting in order from the PCS having the smallest capacity. This can be achieved by executing a process of excluding the selected PCS from the options when it is next to the already selected PCS.

By this process, as shown in FIG. 8, adjacent PCS106s temporarily have different software. As a result, if there is a problem with the updated software, it will be easier to find the problem and identify the cause.

The reasons why it is easy to find problems in measurement and calculation functions and identify the causes are as follows. When the update by the above processing is performed, the arithmetic processing result A of the PCS that has not been updated and the arithmetic processing result A'of the updated PCS can be obtained, for example, by an external device (not shown in FIG. 8). At this time, assuming that the impedance between the positions connected to the feeder 105 is sufficiently small because the two PCSs are adjacent to each other, the value of the arithmetic processing result A of the conventional software and the updated software The difference in the value of the arithmetic processing result A'is determined by the difference in the arithmetic processing and the measurement error. That is, if there is a difference between the arithmetic processing and the measurement error that cannot be explained, there is a possibility that the arithmetic processing is not operating correctly for the updated function. Furthermore, by using the calculation processing results of adjacent PCSs in another feeder, the measurement error is large, whether the cause of the measurement difference is due to the update software, or the assumption that the impedance is small is incorrect. It becomes easier to isolate the cause, such as whether there is a factor, and it becomes easier to debug the update software.

According to this embodiment, the update software can be partially distributed to each PCS 106 without being distributed all at once, and therefore the software of each PCS 106 is also partially updated. As a result, even if the PCS is in an emergency stop due to the update software, the PCS 106 can be updated without causing a stop or failure in other devices in the power system. In addition, it is easier to debug the updated software, and it is possible to modify the updated software more quickly.

In the fifth embodiment, the first embodiment in which the target PCS selection function 15 is changed will be described. FIG. 9 shows a list of each PCS information used in the target PCS selection function 15. In addition to the ID and rated capacity of each PCS106, Listing 901 shows the total operating time, the total output record, and the number of maintenances as an example of the internal measured values.

The target PCS selection function 15 uses the list 901 to select the distribution target PCS by using the total updatable PCS capacity, the rated capacity, the operating time, the output record, and the number of maintenances. For example, first, among the PCS 106s in which the operating time, the output record, and the number of maintenances are within a certain range, the PCS 106 having a capacity of 50% of the total renewable PCS capacity is selected in ascending order. Next, among the PCS 106 in which the operating time, the actual output, and the number of maintenances fall within the range of another fixed value, the PCS having a capacity of 50% of the total renewable PCS capacity is selected in ascending order.

By the above selection, the PCS 106 to which the update software is distributed is divided into two groups having different parameters when the operating time, the actual output, and the number of maintenances are used as parameters. As a result, it is possible to obtain the calculation processing result of the updated software for each of the two groups having different parameters. In this embodiment, the total capacity of the updatable PCS is divided into two groups as an example. However, since the total updatable PCS capacity can be divided into two or more groups, this embodiment includes such a case.

According to this embodiment, the update software can be partially distributed to each PCS 106 without being distributed all at once, and therefore the software of each PCS 106 is also partially updated. As a result, even if the PCS is in an emergency stop due to the update software, the PCS 106 can be updated without causing a stop or failure in other devices in the power system. Further, the rated capacity, the operating time, the actual output, and the number of maintenances are used as parameters, and it becomes easy to obtain the calculation processing result of the updated software for each of a plurality of groups having different parameters. Thereby, for example, when the update software gives the PCS 106 a predictive diagnosis function, it is possible to obtain correlation data between each parameter and the predictive diagnosis result. In this embodiment, the total operating time, total output performance, and number of maintenances are used as indicators for use as parameters, but this method can also be applied by adding the PCS start / stop log to the parameters. Examples shall include such cases as well.

As described above, according to the present invention, the function change data for changing the function of the power conversion device is acquired, the information about the power conversion device is acquired as the device data, and the power conversion device to which the function change data is applied is applied. A part of is selected as the distribution target of the function change data, and the function change data is distributed to the power conversion device selected as the distribution target, based on the power supply capacity of the power conversion device included in the device data. And select the delivery target. Therefore, it is possible to efficiently change the function of the power conversion device connected to the power system while suppressing the influence on other devices.

This advantage occurs for the following reasons. The server device that distributes the function change data receives the device data from each power conversion device, and determines whether to distribute the function change data to each power conversion device or delay the distribution based on the device data. As a result, among the applicable objects that may be updated, only some power conversion devices are actually updated for a certain period of time. If an abnormality occurs due to a new function of the power converter, the number of updated power converters is limited, so that the influence can be prevented from spreading in advance. In addition, if no abnormality occurs even if the function of the power conversion device is changed, the function change data may be distributed to the power conversion device whose distribution has been delayed, which has an undesired effect on other devices in the power system. Eventually all power converters will be able to be updated while limiting the possibility of this.

Specifically, even if an operation abnormality occurs in the power conversion device selected as the distribution target, the distribution target is selected within a range that does not spread to other devices connected to the power system. For example, the distribution target is selected so that the total rated capacity of the power conversion device selected as the distribution target is equal to or less than a predetermined ratio with respect to the power system.

In the above embodiment, the case where the data for updating the software for controlling the operation of the power conversion device is used as the function change data has been illustrated, but the present invention is not limited to this. For example, data for changing the setting value related to operation control may be used as function change data.

Further, in the above embodiment, the rated capacity is used as a value indicating the power supply capacity of the power conversion device, but this is only an example, and any value can be used.

As described above, the present invention is not limited to the above-mentioned examples, and includes various modifications. For example, the above-described embodiment has been described in detail in order to explain the present invention in an easy-to-understand manner, and is not necessarily limited to the one including all the described configurations. Moreover, not only the deletion of such a configuration but also the replacement or addition of the configuration is possible.

101: Distribution server, 102: Power system, 103: Branch (line), 104: Bus line, 105: Feeder (power supply line), 106: PCS, 504: Distribution server, 601: Distribution server, 602: Software creation Group, 603: Functional specification test, 601: Distribution server, 901: List, 11: PCS information input IF, 12: Update software input IF, 13: Distribution request input IF, 14: Update software output IF, 15: Target PCS Selection function, 16: Target PCS selection GW, 17: Storage device, 61: System information input IF, 62: Update information notification output IF

Claims (15)

A server device that communicates with a power converter connected to the power system.
Function change data acquisition means for acquiring function change data for changing the function of the power conversion device, and
A device data acquisition means for acquiring information about the power conversion device as device data, and
A distribution target selection means for selecting a part of the power conversion device to which the function change data is applied as a distribution target of the function change data, and a distribution target selection means.
It is provided with a distribution means for distributing the function change data to the power conversion device selected as the distribution target.
The distribution target selection means is a server device that selects the distribution target based on the power supply capacity of the power conversion device included in the device data. The server device according to claim 1.
The distribution target selection means is characterized in that even if an operation abnormality occurs in the power conversion device selected as the distribution target, the distribution target is selected within a range that does not spread to other devices connected to the power system. Server device. The server device according to claim 2.
The distribution target selection means is a server device that selects the distribution target so that the total rated capacity of the power conversion device selected as the distribution target is equal to or less than a predetermined ratio with respect to the power system. .. The server device according to claim 1.
The function change data is a server device characterized in that it is data for updating software that controls the operation of the power conversion device. The server device according to claim 1.
A server characterized in that the selection of a distribution target by the distribution target selection means and the distribution by the distribution means are repeated at predetermined intervals, and the function change data is distributed to all of the power conversion devices to which the application target is applied. Device. The server device according to claim 1.
A server device further comprising an application target selection means for selecting the application target based on the device data. The server device according to claim 1.
A server device characterized in that information regarding the function change data is transmitted to the power conversion device, and the device data is received from the power conversion device to which the function change data is applied. The server device according to claim 1.
The distribution target selection means notifies the power conversion device selected as the distribution target, and the distribution target selection means notifies the power conversion device.
The distribution means is a server device that executes distribution on condition that a distribution request is received from the power conversion device selected as the distribution target. The server device according to claims 1 to 7.
The distribution target selection means excludes the power conversion device to be distributed by the other server device, selects the distribution target of the own device, and transfers the power conversion device to be distributed by the own device to the other server device. A server device characterized by notifying. The server device according to claims 1 to 7.
The distribution target selection means further uses the result of system analysis of any one or more of the voltage stability, frequency stability, generator step-out, and transmission / distribution line overload of the power system to select the distribution target. A server device characterized by selection. The server device according to claims 1 to 7.
The distribution target selection means is a server device that selects the distribution target so that the power conversion device that is the distribution target and the power conversion device that is not the distribution target are adjacent to each other. The server device according to claims 1 to 7.
The distribution target selection means is a server device that classifies the power conversion device into a plurality of groups based on the device data and selects the distribution target so as to include different groups. A power converter connected to the power system
A transmission means for transmitting information about the own device as device data to the server device,
A receiving means for receiving the function change data for changing the function from the server device, and
It is provided with a function change means for changing the function of the own device by applying the function change data.
The device data includes at least the power supply capacity of the own device, and the function change data is distributed to a power conversion device to be distributed selected from a plurality of application targets based on the power supply capacity. Conversion device. A power system system including a plurality of power conversion devices connected to a power system and a server device that communicates with the plurality of power conversion devices.
Function change data acquisition means for acquiring function change data for changing the function of the power conversion device, and
A device data acquisition means for acquiring information about the power conversion device as device data, and
An application target selection means for selecting the power conversion device to which the function change data is applied based on the device data, and an application target selection means.
A distribution target selection means that selects a part of the application target as a distribution target of the function change data, and
It is provided with a distribution means for distributing the function change data to the power conversion device selected as the distribution target.
The distribution target selection means is a power system system characterized in that the distribution target is selected based on the power supply capacity of the power conversion device included in the device data. It is a power conversion device management method that manages the power conversion device connected to the power system.
The function change data acquisition step for acquiring the function change data for changing the function of the power conversion device, and
A device data acquisition step for acquiring information about the power conversion device as device data, and
A distribution target selection step of selecting a part of the power conversion device to which the function change data is applied as a distribution target of the function change data, and a distribution target selection step.
Including a distribution step of distributing the function change data to the power conversion device selected as the distribution target.
The power conversion device management method, wherein the distribution target selection step selects the distribution target based on the power supply capacity of the power conversion device included in the device data.

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