JP7077250B2 - Power system stabilization system - Google Patents

Description

Embodiments of the present invention relate to a power system stabilization system.

Conventionally, a system step-out / accident spread prevention relay system (hereinafter referred to as a power system stabilization system) that prevents the occurrence of a step-out phenomenon between a generator and a power system (causing an out-of-sync and becoming an unstable operating state). ) Is disclosed (for example, Non-Patent Document 1). The online pre-calculation type power system stabilization system disclosed in Non-Patent Document 1 uses system information obtained online (for example, including connection status and supply / demand status) and transients for each preset assumed accident. The stability calculation is performed to determine the control content for each assumed accident, and the control table is set based on the determination result. When an accident actually occurs, the power system stabilization system collates the accident type with the control table and implements control.

The control content is a generator that is disconnected when an accident occurs (it is separated from the power system and may be referred to as "cutoff" or "electric control" below). Further, the control for forcibly shutting off some generators from the power system in order to prevent the influence of the accident from spreading to the entire power system is called power supply limitation or electric control. In the following description, the generator selected as the target of the power supply restriction is referred to as an electric control machine, and the process of determining the electric control machine is referred to as an electric control device selection. In addition to power supply limitation, the control content may include turbine high-speed valve control (EVA; Early Valve Actuation) that suppresses acceleration of the generator.

FIG. 1 is a configuration diagram of a conventional online pre-calculation type power system stabilization system SS. The power system stabilization system SS includes, for example, a central processing unit 9, a central control device 10, an accident detection terminal device 11, and a control terminal device 12.

The central processing unit 9 may be referred to as a "central processing unit (pre-calculation unit)", and at that time, the central control unit 10 may be referred to as a "central processing unit (post-control unit)". There is. The central processing unit 9 and the central control unit 10 may be configured as one device by integrating their respective functions (for example, Patent Document 1).

The central processing unit 9 includes, for example, a system information collecting means 101, a system model creating means 102, an analysis condition setting means 103, a stability determining means 104, an electronic control device selection means 105, and a storage device 150. .. The storage device 150 stores, for example, a program executed by the central processing unit 9, system equipment data 151, assumed accident type data 152, an electronic control device selection pattern 153, a control table 154, and the like.

The system information collecting means 101 collects system information (online data for power supply) input from the power system E via the power supply information network N. The system equipment data 151 includes, for example, information such as impedances of various equipment such as generators, transmission lines, and transformers constituting the power system E. The system information is, for example, information on the connection state of the power system E, the power supply / demand state, and the power flow state. The system information provided from the power supply information network N is collected by the system information collecting means 101 at a fixed cycle or a system information update cycle. The system information collecting means 101 outputs the collected system information to the system model creating means 102.

The system model creating means 102 creates, for example, an analysis system model representing the system state of the processing cycle this time based on the system information input from the system information collecting means 101 and the system equipment data 151. The system model creating means 102 outputs the created analysis system model to the analysis condition setting means 103.

The analysis condition setting means 103 includes, for example, a system model acquisition unit 103a and an analysis condition setting unit 103b. The system model acquisition unit 103a acquires the analysis system model created by the system model creating means 102. The analysis condition setting unit 103b is assumed to be obtained by referring to the analysis system model acquired by the system model acquisition unit 103a and the assumed accident type data 152 (see FIG. 7) in which the definition related to the assumed accident type is stored. The analysis conditions are set based on the data of the accident type. The analysis conditions include, for example, information on the combination of electronic controls that controls when an assumed accident type occurs. The assumed accident type includes, for example, a monitoring point for monitoring an accident (for example, a power transmission line, etc.) and information indicating the accident aspect. The analysis condition setting unit 103b outputs the set analysis condition to the stability determination means 104.

The stability determination means 104 performs a transient stability calculation based on the analysis conditions output from the analysis condition setting unit 103b.

The stability determination means 104 includes, for example, an analysis condition acquisition unit 104a, a transient stability calculation unit 104b, and a stability determination unit 104c.

The analysis condition acquisition unit 104a acquires the analysis conditions set by the analysis condition setting means 103. The transient stability calculation unit 104b performs a transient stability calculation that simulates whether the generators parallel to the power system can be operated in synchronization with the analysis conditions acquired by the analysis condition acquisition unit 104a. The stability determination unit 104c determines whether or not the power system can be operated stably without causing a step-out phenomenon under each analysis condition based on the result of the transient stability calculation obtained by the transient stability calculation unit 104b. do. It is judged to be unstable when there is a generator that is out of step, and stable when all the generators can maintain synchronous operation. The stability determination unit 104c outputs the determination result regarding the stability to the electronic control device selection means 105.

The electronic control machine selection means 105 includes, for example, an electronic control machine selection unit 105a and a control table setting unit 105b.

The electronic control device selection unit 105a selects the electronic control device to be controlled based on the determination result regarding the stability when each assumed accident type output by the stability determination unit 104c occurs. The electronic control device selection unit 105a calculates an electronic control effect index from the transient stability calculation result when each assumed accident type output by the stability determination unit 104c occurs, and based on the electronic control effect index. The electronic control machine is selected based on the prioritized combination candidate of the electronic control machine or the electronic control machine selection pattern 153 stored in advance. The control table setting unit 105b sets a control table based on the combination of the electric control machines in each assumed accident type selected by the electric control machine selection unit 105a, and stores it as the control table 154. Further, the control table setting unit 105b transmits the set control table to the central control device 10.

In addition to the control table set as described above, the control table 154 includes at least a control table set in the previous processing cycle (that is, a past control table). In the following description, it will be referred to as "previous control table".

When the electronic control machine selection means 105 selects the electric control machine based on the electric control machine selection pattern 153, when the stability determination means 104 determines that the stability is unstable, the previous control table and the electronic control are determined. With reference to the machine selection pattern 153 (see FIG. 6), the electronic control machine selection pattern having the next largest control amount than the electronic control machine selection pattern selected at the time of the previous processing is selected. The control amount is obtained as the total value of the outputs of the generator selected as the electronic control machine in the current processing cycle.

The series of processes of the central processing unit 9 described above is repeated at a predetermined cycle. The predetermined cycle is, for example, the time (for example, about 15 to 45 [s]) at which the control table update is completed for all the assumed accident types. Further, the predetermined cycle may be set by the administrator of the power system stabilization system SS based on the scale of the power system E, the number of types of assumed accidents, and the processing capacity of the central processing unit 9.

The central control device 10 includes, for example, an electronic control device determining means 106 and a storage device 160. The storage device 160 stores, for example, a program executed by the central control device 10, a control table 161 and the like.

The electronic control machine determining means 106 includes, for example, a control table acquisition unit 106a and a collation processing unit 106b.

The control table acquisition unit 106a receives the control table set by the central processing unit 9 and stores it in the storage device 160 as the control table 161. The collation processing unit 106b acquires information on the accident type of the power system E from the accident detection terminal device 11 described later, and collates the control table 161 with the combination of the electric control machines in the assumed accident type corresponding to the accident type. The combination of the acquired electronic control devices is determined as the actual electronic control target, and the electronic control command is transmitted to the control terminal device 12 that controls the electronic control devices.

The accident detection terminal device 11 includes, for example, an accident type detection means 107. The accident type detecting means 107 acquires system information from the power system E, detects the occurrence of a system accident in the power system E, and further determines the accident type when a system accident is detected. When the accident detection terminal device 11 detects the occurrence of a system accident, it determines the accident type and transmits it to the central control device 10.

The control terminal device 12 includes, for example, a control means 108. The control means 108 transmits a cutoff command to the target electronic control device based on the electronic control command received from the central control device 10.

FIG. 2 is a configuration diagram of the power system E in which the power system stabilization system SS is installed. The power system E includes, for example, in addition to the above-mentioned power system stabilization system SS, a generator 1, a bus 2, a transmission line or a transformer 3, a circuit breaker (CB) 4, and a current measuring instrument (CT). ) 5, a voltage measuring instrument (VT) 6, and an accident elimination relay system 7.

As shown in FIG. 2, the central processing unit 9, the central control unit 10, the accident detection terminal device 11, and the control terminal device 12, which are the components of the power system stabilization system SS, are the communication equipment 8 (for example, a signal line or a signal line). It is connected by a communication device, etc.). The accident detection terminal device 11 is installed in, for example, a substation. Further, the control terminal device 12 is installed in, for example, a power plant. The central control device 10 is installed at a place where communication with other devices is possible, but it may be installed at the same place as the accident detection terminal device 11 and the control terminal device 12. Further, the central control device 10 may be configured to include the functions of the accident detection terminal device 11 and the control terminal device 12. The central arithmetic unit 9 is installed at a place that can be connected to the power supply information network N, such as a central power supply command center, so that system information can be obtained online.

FIG. 3 is a flowchart showing an example of the processing flow by the central processing unit 9. The processing of the flowchart shown in FIG. 3 is repeatedly executed, for example, at a predetermined cycle.

First, the system information collecting means 101 collects the system information of the power system E via the power supply information network N (step S100). Next, the system model creating means 102 performs state estimation calculation, system reduction, etc. based on the collected system information and system equipment data 151 (step S102), and creates a system model for analysis of the power system E (step S102). Step S104).

Next, the analysis condition setting means 103 sets the analysis conditions based on the analysis system model created in step S104 and the assumed accident type data 152 (step S106). Next, the stability determining means 104 performs a transient stability calculation of the analysis conditions set in step S106 (step S108).

Next, the stability determining means 104 determines whether or not the power system E can maintain stable operation if the assumed accident type occurs, based on the result of the transient stability calculation in step S108 (step S110). .. If the electronic control machine selection means 105 does not determine that it is stable, the electronic control machine selection means 105 changes the selection content of the electronic control machine in the assumed accident type (step S112), and returns the process to step S106. In this case, step S106 sets analysis conditions including a condition for controlling the electronic control machine selected in step S112. When the electronic control device selection means 105 determines that it is stable, it determines whether or not the stability determination of all the assumed accident types has been completed (step S114). When it is determined that the stability determination of all the assumed accident types has not been completed, the electronic control machine selection means 105 returns the process to step S106 and performs the stability determination of the next assumed accident type. When it is determined that the stability determination of all the assumed accident types has been completed, the electronic control machine selection means 105 sets the control table (step S116), and ends the process of this flowchart.

In the process of selecting the electronic control device (step 112), a method of selecting the electronic control device based on the electronic control effect index and a combination of the electronic control devices are selected from the electronic control device selection pattern 153 stored in advance. There is a way to do it.

FIG. 4 is a flowchart showing an example of the processing flow of the electronic control machine selection unit 105a that selects the electronic control machine based on the electronic control effect index. The processing of the flowchart of FIG. 4 is the processing corresponding to step S112 of the flowchart shown in FIG.

First, the electronic control device selection unit 105a selects an electronic control device candidate (step S200). More specifically, the electric control device selection unit 105a is a generator that can be controlled by the power system stabilization system SS, that is, a generator in which the control terminal device 12 is installed. Using the determination condition of 2), a group of generators determined to be unstable within a certain period of time is selected as a candidate for the electric control device from the time when the generator is first determined to be unstable.

{Δ _{i (t)} -δ _{S (t)} } ≧ δ _k ... (1)
{Δ _{i (t)} -δ _{S (t)} } ≧ δ _k and {ω _{i (t)} -ω _{S (t)} } ≧ ω _k
... (2)

Here, δ _{i (t)} is the internal phase angle of the generator in the power system E at time t, ω _{i (t)} is the angular speed of the generator in the power system E at time t, and δ _{S (t)} is time. The internal phase angle of the reference generator at t, ω _{S (t)} is the angular speed of the reference generator at time t, i is the generator number (i = 1 to N; N is the number of generators of the power system E), and t is. The simulation times, δ _k and ω _k in the transient stability calculation are thresholds.

After the process of step S200, the electronic control device selection unit 105a calculates the acceleration energy of each generator selected as a candidate for the electronic control device as the electronic control effect index AE (step S202), and the operation constraint of the power system E. The power control effect index AE is corrected using the weighting coefficient in consideration of (step S204), and the generator with the maximum power control effect index AE is selected as the power control machine to be added (step S206). This is the end of the description of the processing of this flowchart.

FIG. 5 shows information on a generator that can be a candidate for an electric control device included in the system equipment data 151, that is, a generator in which the control terminal device 12 is installed, and a candidate for the electric control device is selected by using the transient stability calculation result. It is a figure which shows an example of the result of having calculated the electric control effect index AE. In the figure, x is a natural number. As shown in the figure, for example, information such as a selection priority, a generator candidate for an electric control device, an internal phase angle difference, an angular velocity difference, and an electronic control effect index is included, and a generator with a high electronic control effect index AE has priority. Contains information for which selection priorities have been set so that they can be selected.

The above is an example of selecting an electronic control machine based on the electronic control effect index.

Next, the processing of the electric control machine selection unit 105a for selecting the combination of the electric control machines from the electronic control machine selection pattern 153 stored in advance will be described.

FIG. 6 is a diagram showing an example of the contents included in the electronic control machine selection pattern 153 referred to by the electronic control machine selection unit 105a. _NP in the figure is a natural number. The electronic control device selection pattern 153 is, for example, for each of the generators in which the control terminal device 12 is installed, in consideration of the characteristics of each generator (for example, stabilization effect, economic efficiency, etc.). The priority to be selected is predetermined. As shown in the figure, the electronic control machine selection pattern 153 defines a combination of a plurality of electronic control machines, from an electric control machine selection pattern having a small control amount to an electric control machine selection pattern having a large control amount.

When the stability determination means 104 determines that the stability is unstable, the electronic control machine selection means 105 refers to the electronic control machine selection pattern 153 and is next to the electronic control machine selection pattern selected at the time of the previous processing. Select the electronic control device selection pattern with a large amount of control.

For example, when the stability determination means 104 determines that the stability is unstable and the electronic control machine selection pattern selected at the time of the previous processing is "3", the control amount of the electronic control device selection means 105 is next. Select the most electronic control machine pattern "4". The output of each generator is, for example, system information measured by the control terminal device 12 and transmitted to the central processing unit 9, or acquired via the power supply information network N, and stored in a storage device 150 or the like. Will be done.

The above is an example of selecting an electronic control machine based on the electronic control machine selection pattern.

Hereinafter, in order to simplify the explanation, the electronic control device selection means 105 will basically explain a method of selecting an electronic control device based on the electronic control device selection pattern 153 stored in advance, and give priority to the electronic control effect index. The processing when selecting an electric control machine from the ranked electric control machine candidates is limited to a supplementary explanation.

FIG. 7 is a diagram showing an example of the contents included in the assumed accident type data 152. _NF in the figure is a natural number. The assumed accident type data 152 includes, for example, information such as an assumed accident type number for identifying the assumed accident type, a monitoring point, and an accident aspect detected at the monitoring point. The analysis condition setting unit 103b is, for example, the analysis system model acquired by the system model acquisition unit 103a, the assumed accident type data included in the assumed accident type data 152, and the electronic control machine selected by the electronic control machine selection means 105. The analysis conditions are set using the combination of.

FIG. 8 is a diagram showing an example of the contents included in the control table 154. The control table 154 includes, for example, an assumed accident type number and information such as an electronic control machine. As shown in the figure, the control table 154 selects the electronic control machine so that the electronic control machine selection pattern 153 can be referred to at an early stage when the stability determination means 104 determines that the stability determination means 104 is unstable in the subsequent processing. The pattern number may be included.

The control table 154 shown in FIG. 8 shows, for example, an accident of assumed accident type number “1”, that is, an accident of 3Φ6LG-O in the A substation X transmission line shown in FIG. 7 (“3Φ6LG-O” in the figure, etc.). The information is a code representing the accident aspect, and when these accident numbers, accident response points, and combinations of accident aspects occur (hereinafter referred to as accident type), the generator among the generators 1 shown in FIG. 2 It is set that G1, G2 and G3 are electronically controlled, and in the case of the assumed accident type number 2, the generators G2 and G3 are electronically controlled.

In this way, in the conventional power system stabilization system SS, the transient stability calculation is first performed under the analysis conditions without an electric controller for all assumed accident types, and the result of the transient stability calculation is unstable. An electric control machine was added, and the electronic control machine selection and transient stability calculation were repeated until the result became stable. That is, in the process to be repeatedly executed, the central processing unit 9 targets all assumed accident types as judgment targets, and transiently adds electric controllers in sequence from the analysis conditions without an electric controller until the transient stability calculation result becomes stable. The stability calculation was repeated. For this reason, it takes a long time to complete the calculation of the control contents of all assumed accident types, and the system state change that occurs during that time is delayed in being reflected in the control contents, which may cause excess or deficiency in the control contents. was there.

In particular, in a power system with a large amount of renewable energy power generation (hereinafter referred to as “renewable energy”) that utilizes natural energy such as solar power generation and wind power generation, the system state such as power generation output may change suddenly due to changes in weather conditions. is assumed. In the online pre-calculation type power system stabilization system SS, if a system accident occurs before the change in the system state of the power system E is reflected in the control content, the control content becomes excessive or insufficient, and the control amount is insufficient. In some cases, stability may not be maintained. In this way, in the online pre-calculation type power system stabilization system, which is applied to the power system in which the amount of renewable energy introduced is particularly large, in order to reflect the change in the system state in the control contents at an early stage, the central processing unit 9 is used in advance. There is a demand for high-speed calculation, and many techniques related to high-speed pre-calculation are disclosed (for example, Patent Documents 2 to 4).

For example, in Patent Document 2, after the stability determination means 104 performs screening (simple stability determination processing), detailed transient stability calculation is performed for the assumed accident type determined to be unstable in the screening. Regarding the assumed accident types judged to be stable by screening, a technique for shortening the calculation time (calculation time) by omitting the detailed transient stability calculation is disclosed. However, according to the method disclosed in Patent Document 2, since the stable assumed accident type is not subject to detailed transient stability calculation, the amount of stability determination processing by the stability determination means 104 can be reduced, but the system state can be reduced. If there are many assumed accident types that are unstable due to changes, that is, if there are many assumed accident types that require the selection of an electronic control device, the processing load may increase and the processing time may become longer.

For example, in Patent Document 3, a plurality of stability determination means 104 are provided, and a plurality of assumed accident types are distributed to each of the plurality of stability determination means 104 so that the calculation load (calculation load) becomes substantially equal for calculation. The technology to do this is disclosed. However, according to the method disclosed in Patent Document 3, the overall processing time can be shortened by performing parallel processing by a plurality of stability determining means 104, but providing a large number of stability determining means 104 is a central calculation. The hardware and software constituting the device 9 may be increased or complicated, which may cause an increase in cost and a decrease in reliability. Further, since the calculation processing amount per assumed accident type is the same as the conventional one, there is a possibility that the calculation processing amount of the entire pre-calculation unit cannot be reduced.

For example, Patent Document 4 discloses a technique for obtaining the severity of each assumed accident type and performing stability determination processing only for the assumed accident type whose severity exceeds the threshold value. However, in the method disclosed in Patent Document 4, the severity is equal to or less than the threshold value in the system state at a certain timing. When the system state changes, the severity exceeds the threshold value and the stability determination process is required. Therefore, there was a possibility that the calculation time could not be shortened.

Further, Patent Document 4 discloses that, with respect to the assumed accident type in which the severity is in a predetermined inclusion relationship, the assumed accident type having a high severity is calculated preferentially over the assumed accident type having a low severity. In this method, the calculation time cannot be shortened because the assumed accident type with a lower severity is calculated in the same calculation cycle as the assumed accident type with a higher severity. In addition, if it is determined that the assumed accident type with high severity is stable, the operation of the assumed accident type with lower severity is not performed, so the control content of the assumed accident type with lower severity is not updated. , There was a possibility of over-control.

Japanese Patent No. 5591505 Japanese Patent No. 3423615 Japanese Patent No. 3350265 Japanese Unexamined Patent Publication No. 7-298498

IEEJ Technical Report No. 801 "System Step-out / Accident Ripple Prevention Relay Technology", p5, p6, p52, p54, p55, p74 (Fig. 3.5), p75, p88, p89, p91, p92, General Incorporated Association Institute of Electrical Engineers of Japan, October 2000

An object to be solved by the present invention is to provide a power system stabilization system capable of performing pre-calculation processing in a central processing unit at a higher speed.

The power system stabilization system of the embodiment includes a central processing unit, an accident detection terminal device, a central control device, and a control terminal device. The central processing unit collects the current system information, creates a system model for analysis, performs transient stability calculations for multiple assumed accidents, selects the electronic control unit required to maintain the stability of the power system, and selects the control table. It is insufficient when the control table is repeatedly transmitted by setting to, the power flow is measured for each monitoring point of the assumed accident, and the electronic control device selection result obtained in the previous calculation is adopted using the measured monitoring point power flow. The possibility of control is determined, and the assumed accident that is determined to have the possibility of insufficient control is calculated with priority over other assumed accidents. The accident detection terminal device determines the accident type when a system accident occurs and transmits information on the accident type. The central control device collates the accident type information received from the accident detection terminal device with the control table received from the central processing unit, determines the electronic control device, and transmits the electronic control command. The control terminal device disengages the electronic control device from the power system in accordance with the electronic control command received from the central control device.

Configuration diagram of the conventional online pre-calculation type power system stabilization system SS. The block diagram of the power system E in which the power system stabilization system SS is installed. The flowchart which shows an example of the processing flow by a central processing unit 9. The flowchart which shows an example of the processing flow of the electric control machine selection unit 105a which selects an electric control machine based on an electronic control effect index. The figure which shows an example of the generator which can become the electric control machine candidate included in system equipment data 151. The figure which shows an example of the contents included in the electronic control machine selection pattern 153. The figure which shows an example of the contents included in the assumed accident type data 152. The figure which shows an example of the contents included in the control table 154. The block diagram of the power system stabilization system SSA of 1st Embodiment. The figure which shows an example of the contents included in the result of collecting the _tidal current PM of each monitoring point and the change amount _ΔPM in the system information collecting means 101. The flowchart which shows an example of the processing flow by the central processing unit 9 which concerns on 1st Embodiment. The block diagram of the power system stabilization system SSB which concerns on 2nd Embodiment. The figure which shows an example of the present output _PG of a generator. The figure which shows an example of the contents included in the control table 154. The block diagram of the power system stabilization system SSC which concerns on 3rd Embodiment. The figure which shows another example of the contents included in the control table 154. The flowchart which shows an example of the processing flow by the central processing unit 9 which concerns on 3rd Embodiment. The flowchart which shows an example of the processing flow by the central processing unit 9 which concerns on 3rd Embodiment. The block diagram of the power system stabilization system SSD which concerns on 4th Embodiment. The figure which shows the other example of the content included in the electronic control machine selection pattern 153. The block diagram of the power system stabilization system SSE which concerns on 5th Embodiment. The flowchart which shows an example of the processing flow by the central processing unit 9 which concerns on 5th Embodiment. The block diagram of the power system stabilization system SSF which concerns on 6th Embodiment.

Hereinafter, the power system stabilization system of the embodiment will be described with reference to the drawings.

(First Embodiment)
FIG. 9 is a block diagram of the power system stabilization system SSA of the first embodiment. The power system stabilization system SSA shown in FIG. 9 is different from the power system stabilization system SS shown in FIG. 1 in that the system information collecting means 101 performs processing with reference to the assumed accident type data 152. Therefore, in the following, the processing of the system information collecting means 101 of the power system stabilization system SSA will be mainly described.

The power system stabilization system SSA includes, for example, a central processing unit 9, a central control device 10, an accident detection terminal device 11, and a control terminal device 12. These components are realized by, for example, a hardware processor such as a CPU (Central Processing Unit) executing a program (software). In addition, some or all of these components are hardware such as LSI (Large Scale Integrated Circuit), ASIC (Application Specific Integrated Circuit), FPGA (Field-Programmable Gate Array), and GPU (Graphics Processing Unit). It may be realized by the circuit part (including circuitry), or it may be realized by the cooperation of software and hardware. The program may be stored in advance in a storage device (a storage device including a non-transient storage medium) such as an HDD (Hard Disk Drive) or a flash memory, or a removable storage device such as a DVD or a CD-ROM. It is stored in a medium (non-transient storage medium), and may be installed in the storage device 150 or the storage device 160 by mounting the storage medium in the drive device. The storage device 150 and the storage device 160 are composed of, for example, an HDD, a flash memory, an EEPROM (Electrically Erasable Programmable Read Only Memory), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like.

Further, the system information collecting means 101 uses each monitoring point of the assumed accident (for example, the transmission line 3, the bus 2, and the transformer in FIG. 2) by using the assumed accident type data 152 and the system information obtained from the power supply information network N. (Not shown), etc.) Calculates the change amount _ΔPM of the tidal current. FIG. 10 is a diagram showing an example of the contents included in the result of collecting the tidal current _PM at each monitoring point and the change amount _ΔPM in the system information collecting means 101. _NM in the figure is a natural number. The information shown in FIG. 10 may be stored in the storage device 150, for example.

The _tidal current PM at each monitoring point is the total value of the active power passing through the equipment when the monitoring point is a transmission line or a transformer, and the active power flowing into the bus when the monitoring point is a bus. The system information collecting means 101 determines whether or not the tidal current PM at the monitoring point is on the increase, for example, by using the change amount _ΔPM of the tidal current at the monitoring point in the processing cycle _ΔT of the process repeatedly performed by the central processing unit 9. , The determination is made using the following equation (3). The amount of change _ΔPM is calculated by the equation (4).

_ΔPM > 0 ... (3)
ΔPM = PM _{(t) -PM (t-ΔT)} ... (4)

In addition, PM _(t) is a monitoring point tidal current value at time t at the time of collecting system information this time. The processing cycle ΔT is obtained by using the following equation (5), for example, before the calculation of the change amount _ΔPM is performed by the system information collecting means 101. Here, t _REC is the time at the time of the previous system information collection recorded by the equation (6).

ΔT = t − t _REC・ ・ ・ (5)
t _REC ← t ・ ・ ・ (6)

FIG. 11 is a flowchart showing an example of the processing flow by the central processing unit 9 according to the first embodiment. The flowchart of FIG. 11 is repeated at a predetermined cycle. Note that steps S300 to 304 of the flowchart shown in FIG. 11 are the same processes as steps S100 to S104 of the flowchart shown in FIG. Further, step S308 of the flowchart shown in FIG. 11 is the same process as step S106 of the flowchart shown in FIG. Further, steps S312 to 320 of the flowchart shown in FIG. 11 are the same processes as steps S108 to S116 of the flowchart shown in FIG. Further, the processing details in step S316 of the flowchart shown in FIG. 11 correspond to the processing of the flowchart shown in FIG.

First, the system information collecting means 101 collects the system information of the power system E via the power supply information network N (step S300). Next, the system model creating means 102 performs state estimation calculation, system reduction, etc. based on the collected system information and system equipment data 151 (step S302), and creates a system model for analysis of the power system E (step S302). Step S304).

Next, the analysis condition setting means 103 counts the number of operations CNT (step S306). More specifically, the analysis condition setting means 103 performs an increment operation of adding 1 to the number of operations CNT, for example.

More specifically, whether the analysis condition setting means 103 performs a transient stability calculation (step S312) and a stability determination (step S314) by the stability determination means 104 for each assumed accident type with reference to the calculation number CNT. Judge whether or not. The analysis condition setting means 103 performs a transient stability calculation for, for example, a monitoring point whose stability tends to decrease in response to a change in the system state of the power system E, that is, an assumed accident type in which the above equation (3) holds. And for the assumed accident type that is the target of stability judgment and the stability does not tend to decrease, transient stability calculation and stability judgment are performed only when a predetermined condition (for example, the number of calculations CNT is divisible by a predetermined natural number M) is satisfied. Is processed. The analysis condition setting means 103 omits the transient stability calculation and the stability determination process for the assumed accident type that does not satisfy the predetermined condition. Further, the predetermined condition may be set to the assumed accident type in which the transient stability calculation and the stability determination process are always performed every time the analysis condition setting means 103 processes.

The predetermined natural number M is arbitrarily set by, for example, the administrator of the power system stabilization system SSA. Further, the predetermined natural number M may be a value adjusted according to the processing cycle ΔT of the central processing unit 9. For example, the stability determining means 104 adds 1 to the natural number M when the processing cycle ΔT of the central processing unit 9 exceeds the maximum cycle time _TMAX preset by the administrator of the power system stabilization system SSA or the like. .. The stability determining means 104 notifies the administrator that the system does not meet the required performance when the predetermined natural number M reaches the maximum value M _MAX and the processing cycle ΔT exceeds the maximum cycle time T _MAX . Therefore, in consideration of the possibility that some error has occurred in the system information collecting means 101, the system model creating means 102, and the analysis condition setting means 103, or the system information collected from the power supply information network N may not be accurate. Then, the warning information may be output to the administrator. When the processing cycle ΔT is smaller than the minimum cycle time _TMIN preset by the administrator of the power system stabilization system SSA or the like, the stability determination means 104 performs a decrement process of subtracting 1 from the natural number M. However, the minimum value of the natural number M is 1, and when M = 1, no decrement processing is performed.

Returning to FIG. 11, after the processing of step S306, the analysis condition setting means 103 sets the analysis conditions based on the analysis system model created in step S304 and the assumed accident type data 152 (step S308). Next, the analysis condition setting means 103 determines whether or not the control table is the assumed accident type to be updated based on the tendency of the stability of the system state of the power system E and the number of operations CNT updated in step S306. (Step S310). Next, the stability determination means 104 performs a transient stability calculation of the analysis condition determined to be the calculation target in step S310 (step S312).

Next, the stability determining means 104 determines whether or not the power system E can maintain a stable state without the generator stepping out if the assumed accident type occurs, based on the transient stability calculation result in step S312. (Step S314). If the electronic control device selection means 105 does not determine that it is stable, that is, if it determines that there is a possibility of insufficient control, the selection content of the electronic control device in the assumed accident type is changed (step S316). The process returns to step S308. In this case, step S308 sets the analysis condition including the condition for controlling the electronic control machine selected in step S316. When the electronic control device selection means 105 determines that it is stable, it determines whether or not the stability determination of all the assumed accident types has been completed (step S318). When it is determined that the stability determination of all the assumed accident types has not been completed, the electronic control machine selection means 105 returns the process to step S308 and performs the stability determination of the next assumed accident type. When it is determined that the stability determination of all the assumed accident types has been completed, the electronic control machine selection means 105 sets the control table (step S320), and ends the process of this flowchart.

According to the power system stabilization system SSA of the first embodiment described above, the number of assumed accident types to be determined by the stability determination means 104 for the processes repeatedly executed in the central processing unit 9 is within the possible range. By performing the reduction processing, the calculation processing amount of the central processing unit 9 can be reduced. Further, in the central processing unit 9, the assumed accident type whose stability tends to decrease is added to the judgment target by the stability determination means 104 in principle, so that the control amount in the power system stabilization system SSA when a system accident occurs. Can be suppressed from being insufficient.

(Second embodiment)
Next, the power system stabilization system SSB of the second embodiment will be described. In the following description, parts having the same functions as those described in the first embodiment will be given the same names and reference numerals, and specific description of the functions will be omitted.

FIG. 12 is a block diagram of the power system stabilization system SSB according to the second embodiment. The power system stabilization system SSB is different from the power system stabilization system SSA of the first embodiment shown in FIG. 9 in that the storage device 150 further stores the control amount information 155. Further, the system information collecting means 101 is different in that the processing is performed with reference to the control amount information 155. Therefore, in the following, the processing of the system information collecting means 101 of the power system stabilization system SSB will be mainly described.

The control amount information 155 includes, for example, information corresponding to the following equation (7) as a calculation rule of the required control amount.

f (PM _(t) ) = a · PM _(t) + b ... (7)

Here, a and b are coefficients and may be referred to as settling values. The coefficients a and b may be calculated by the least squares method or the like based on a plurality of combination data of the control amount which is the processing result of the central processing unit 9 and the monitoring point current at that time.

Further, for each of the assumed accident types, the system information collecting means 101 uses, for example, the above-mentioned required control amount equation (7) and the following equation (8) to obtain the required control amount PC ₍ at the current monitoring point current). _t) is calculated.

PC _(t) = f (PM _(t) ) ... (8)

Next, the system information collecting means 101 uses the control amount _ΣPG when the electronic control unit selection result calculated in the previous processing of the central processing unit 9 is adopted for each of the assumed accident types, and the equation (8). Comparing the calculated required control amount PC _(t ), the assumed accident type in which the required control amount PC _(t) is larger, that is, the assumed accident type for which the equation (9) holds is the assumed accident type in which the controlled amount may be insufficient. Is determined, and priority is given to the stability determination processing target.

ΣP _{G (t)} <PC _(t) ... (9)

Here, ΣPG _(t) is a control amount when the electronic controller selection result obtained by the central processing unit 9 in the previous processing is adopted, and is a generator set as the electronic controller in the previous control table. Calculated by summing the current outputs of. That is, in step S310 of the flowchart shown in FIG. 11, the assumed accident type for which the equation (9) holds is subject to the stability calculation every time regardless of the number of operations, and the other assumed accident types are updated in step S306. Only when the calculated number of operations CNT is divisible by a predetermined natural number M, the stability calculation target is set.

FIG. 13 is a diagram showing an example of the current output _PG of the generator collected from the power supply information network N. The system information collecting means 101 acquires, for example, the current output PG of the generator via the power _supply information network N and stores it in the storage device 150.

For example, when the system information collecting means 101 calculates the control amount ΣP _G1 of the assumed accident type number “1”, the generators selected as the electric control machine by referring to the control table 154 are the generators G1 and G2. And G3, and then the control amount ΣP _G1 is calculated by referring to the current outputs PG1 _{(t) to} PG3 (t) of the generators G1, G2, and G3.

FIG. 14 is a diagram showing an example of the contents included in the control table 154. As shown in the figure, the control table 154 includes information such as the calculated control amount _{ΣP G} and the required control amount PC. As shown in the figure, for example, in the control table 154, the generators G1, G2, and G3 corresponding to the assumed accident type number “1” are generators _G1 , G2, and G3, and the control amount ΣP which is the sum of their current output PGs. It is _stored that _G is _{ΣP G1} and the required control amount PC is PC1.

According to the power system stabilization system SSB of the second embodiment described above, the same effect as that of the power system stabilization system SSA of the first embodiment is obtained, and an assumed accident in which the control amount may be insufficient. By giving higher priority to the stability judgment regarding the type, the processing time of the assumed accident type that may lack the control amount can be shortened, and the control by the power system stabilization system SSB is the control amount. You can avoid running out.

(Third embodiment)
Next, the power system stabilization system SSC of the third embodiment will be described. In the following description, parts having the same functions as those described in the first embodiment and the second embodiment shall be given the same names and reference numerals, and specific description of the functions shall be omitted. do.

FIG. 15 is a block diagram of the power system stabilization system SSC according to the third embodiment. In the power system stabilization system SSC shown in FIG. 15, as compared with the power system stabilization system SSB shown in FIG. 12, the analysis condition setting means 103 performs processing with reference to the electric control device selection pattern 153 and the control table 154. Is different. Therefore, in the following, the processing of the analysis condition setting means 103 of the power system stabilization system SSC will be mainly described.

The analysis condition setting means 103 first sets the analysis condition to be initially set with reference to the electronic control device selection pattern 153 according to the change tendency of the monitoring point _tidal current PM in each assumed accident type. For example, when the above equation (3) is satisfied, the analysis condition setting means 103 selects an electronic control machine selection pattern having a control amount one step larger than that of the electronic control machine selection pattern selected in the previous process from the electronic control machine selection pattern 153. If the equation (3) does not hold after selection, the electronic control device selection pattern selected in the previous calculation is selected as it is.

FIG. 16 is a diagram showing another example of the contents included in the control table 154 when the electronic control machine is selected based on the electronic control effect index AE. For example, when the equation (3) is satisfied, the analysis condition setting means 103 refers to the next electronic control machine candidate corresponding to the electronic control machine selection result selected in the previous process of the control table 154 shown in FIG. Then, set the analysis conditions by adding one electronic control machine. If the equation (3) does not hold, the electronic control machine selected in the previous calculation is selected as it is.

Further, for example, when the equation (3) is not satisfied, the analysis condition setting means 103 selects an electronic control machine selection pattern having a control amount one step smaller than that of the electronic control machine selection pattern selected in the previous process from the electronic control machine selection pattern 153. The selection process may be performed, or the last added electric controller may be reduced from the current electronic controller selection result. In this way, the analysis condition setting means 103 sets the electronic control machine of the analysis condition to be set first in this cycle based on the change tendency of the monitoring point _tidal current PM.

In the following explanation, the process of obtaining the analysis condition by adding the electronic control machine selection pattern with one step more control amount and the next-order electronic control machine candidate is "selection of the electronic control machine of the first condition", and the control amount is one step. The process of obtaining an analysis condition in which a small number of electronic control machine selection patterns and the last selected electric control machine are reduced is referred to as "second condition electronic control machine selection".

17 and 18 are flowcharts showing an example of the flow of processing by the central processing unit 9 according to the third embodiment. The flowcharts of FIGS. 17 and 18 are repeated at predetermined intervals. Note that steps S400 to 404 of the flowchart shown in FIG. 17 are the same processes as steps S100 to S104 of the flowchart shown in FIG. Further, steps S410, S412, and S416 of the flowchart shown in FIG. 17 are the same processes as steps S108, S110, and S112 of the flowchart shown in FIG. Further, steps S428 to 430 of the flowchart shown in FIG. 18 are the same processes as steps S114 to S116 of the flowchart shown in FIG. Further, the processing details in step S416 shown in FIG. 17 and step S420 shown in FIG. 18 correspond to the processing of the flowchart shown in FIG.

First, the system information collecting means 101 collects the system information of the power system E via the power supply information network N (step S400). Next, the system model creating means 102 performs state estimation calculation, system reduction, etc. based on the collected system information and system equipment data 151 (step S402), and creates a system model for analysis of the power system E (step S402). Step S404).

Next, the analysis condition setting means 103 performs a process of clearing the process flag ID (for example, the process flag ID is set to "0") (step S406). The processing flag ID is an identifier for the analysis condition setting means 103 to determine that the electronic control machine selection (step S416) of the first condition for increasing the electronic control machine has been performed. Next, the analysis condition setting means 103 sets the analysis conditions based on the analysis system model created in step S404, the assumed accident type data 152, the electronic control machine selection pattern 153, and the control table 154. The electronic control machine of the analysis condition initially set in this cycle is set based on the change tendency of the monitoring point tidal current PM by the above processing (step _S408 ). Next, the stability determining means 104 performs a transient stability calculation based on the analysis conditions set in step S408 (step S410).

Next, the stability determining means 104 determines whether or not the power system E can maintain stable operation if the assumed accident type occurs, based on the result of the transient stability calculation in step S410 (step S412). .. If it is not determined to be stable in step S412, the electronic control machine selection means 105 changes the processing flag ID from 0 to 1 (step S414), and then performs the first condition electronic control machine selection (step S416). ), Return the process to step S408.

If the process proceeds to FIG. 18 and is determined to be stable in step S412, the electronic control device selection means 105 determines whether the control amount _ΣPG is 0 (that is, is the electronic control device not selected) or is processed. It is determined whether or not at least one of the flag IDs of 1 is satisfied (step S418). If it is not determined that at least one of the conditions is satisfied, the electronic control machine selection means 105 selects the electronic control machine of the second condition (step S420), and the analysis condition setting means 103 is created in step S404. In the analysis system model, the analysis conditions based on the assumed accident type and the analysis conditions set by the electronic control machine selected in step S420 are set (step S422). Next, the stability determination means 104 performs a transient stability calculation (step S424). Next, the stability determining means 104 determines whether or not the power system E can maintain stable operation if the assumed accident type occurs, based on the result of the transient stability calculation in step S424 (step S426). .. If the electronic control device selection means 105 does not determine that it is stable, the electronic control device selection pattern before reducing the number of electronic control devices, that is, the electronic control device selection pattern before performing step 420 is used as the electronic control device selection result in the step. The process proceeds to S428. If the electronic control device selection means 105 determines that it is stable, the process returns to step S418.

If it is determined in step S418 that at least one of the conditions is satisfied, the electronic control device selection means 105 determines whether or not the stability determination of all the assumed accident types has been completed (step S428). If it is determined that the stability determination of all the assumed accident types has not been completed, the electronic control device selection means 105 returns the process to step S406. When it is determined that the stability determination of all the assumed accident types has been completed, the electronic control machine selection means 105 sets the control table (step S430), and ends the process of this flowchart.

According to the power system stabilization system SSC of the third embodiment described above, the amount of processing required for the stability determination process for one assumed accident type can be reduced, and the process can be speeded up.

(Fourth Embodiment)
Next, the power system stabilization system SSD of the fourth embodiment will be described. In the following description, parts having the same functions as those described in the first to third embodiments shall be given the same names and reference numerals, and specific description of the functions shall be omitted. do.

FIG. 19 is a block diagram of the power system stabilization system SSD according to the fourth embodiment. The power system stabilization system SSC shown in FIG. 19 is different from the power system stabilization system SSC shown in FIG. 15 in that the storage device 150 further stores the control amount information 155. Further, the system information collecting means 101 is different in that the processing is performed with reference to the control amount information 155. Therefore, in the following, the processing of the system information collecting means 101 of the power system stabilization system SSD will be mainly described.

For example, the system information collecting means 101 calculates the required controlled variable _{CC (t)} for each of the assumed accident types by using the _tidal current PM at the monitoring point and the controlled variable information 155. Further, the control amount _ΣPG is calculated by totaling the current outputs of the generators set as the electric control machines of each electric control machine selection pattern with reference to the electric control machine selection pattern 153.

FIG. 20 is a diagram showing another example of the contents included in the electronic control device selection pattern 153. In addition to the electronic control machine selection pattern 153 shown in FIG. 6, the electronic control device selection pattern 153 shown in FIG. 20 further includes information on the control amount _ΣPG when each electronic control device selection pattern is selected. ..

The analysis condition setting means 103 sets the analysis condition with reference to, for example, the control amount _ΣPG of the electronic control device selection pattern 153. The analysis condition setting means 103 sets the analysis condition initially, and the control amount ΣP _G is larger than the required control amount _CC of each assumed accident type, and the control amount ΣP _G is the closest to the required control amount PC _. The selection pattern is selected from the electronic control device selection pattern 153. At that time, the analysis condition setting means 103 selects, for example, the electronic control machine selection pattern in which the following equation (10) is satisfied from the electronic control machine selection pattern 153.

[ΣP _{G (t)} ≧ PC _(t)
And
min {| ΣP _{G (t)} -PC _(t) |}] ・ ・ ・ (10)

In addition, min (| ΣP _{G (t) -PC ( t)} |) is an electronic control machine selection of the control amount ΣP _{G (t)} that minimizes the absolute value of ΣP G (t) -PC (t). It is an expression to find a pattern.

According to the power system stabilization system SSD of the fourth embodiment described above, the same effect as that of the power system stabilization system SSC of the third embodiment is obtained, and the analysis condition setting means 103 is an electronic control device selection pattern. By setting the analysis conditions with reference to 153, it is possible to reduce the amount of calculation processing per assumed accident type even when the system state suddenly changes.

(Fifth Embodiment)
Next, the power system stabilization system SSE of the fifth embodiment will be described. In the following description, parts having the same functions as those described in the first to fourth embodiments shall be given the same names and reference numerals, and specific description of the functions shall be omitted. do.

FIG. 21 is a block diagram of the power system stabilization system SSE according to the fifth embodiment. The power system stabilization system SSE shown in FIG. 21 is different from the power system stabilization system SSA shown in FIG. 9 in that it includes a plurality of stability determination means 104-1 and stability determination means 104-2. Further, the power system stabilization system SSE shown in FIG. 21 is different from the power system stabilization system SSA shown in FIG. 9 in that the analysis condition setting means 103 further includes the analysis condition distribution unit 103c. Therefore, in the following, the processing of the analysis condition setting means 103, the stability determination means 104-1 and the stability determination means 104-2 will be mainly described.

The stability determining means 104-1 and the stability determining means 104-2 have the same functions as the stability determining means 104 described above, respectively. The stability determination means 104-1 and the stability determination means 104-2 perform the stability determination process independently of the process of the other stability determination means. Although FIG. 21 shows an example in which two stability determining means 104 are provided, three or more stability determining means 104 may be provided.

The analysis condition setting means 103 selects two analysis conditions to be set at the beginning, outputs the selected analysis conditions to the stability determination means 104-1 and the stability determination means 104-2, and performs stability determination processing in parallel. To do. More specifically, the analysis condition setting unit 103b is assumed to be obtained by referring to the analysis system model acquired by the system model acquisition unit 103a and the assumed accident type data 152 in which the definition regarding the assumed accident type is stored. Two analysis conditions are set based on the data of the accident type to be performed. The analysis condition distribution unit 103c outputs one of the analysis conditions set by the analysis condition setting unit 103b to the stability determination means 104-1 and outputs the other to the stability determination means 104-2.

The electronic control machine selection means 105 acquires stability determination results from each of the stability determination means 104-1 and the stability determination means 104-2, and sets a control table based on those determination results.

FIG. 22 is a flowchart showing an example of the flow of processing by the central processing unit 9 according to the fifth embodiment. The flowchart of FIG. 22 is repeated at a predetermined cycle. Note that steps S500 to 506 of the flowchart shown in FIG. 22 are the same processes as steps S100 to S106 of the flowchart shown in FIG. Further, each of step S510 and step S512 of the flowchart shown in FIG. 22 is the same process as step S108 of the flowchart shown in FIG. Further, steps S514 to 520 of the flowchart shown in FIG. 22 are the same processes as steps S110 to S116 of the flowchart shown in FIG. Further, the processing details in step S516 of the flowchart shown in FIG. 22 correspond to the processing of the flowchart shown in FIG.

First, the system information collecting means 101 collects the system information of the power system E via the power supply information network N (step S500). Next, the system model creating means 102 performs state estimation calculation, system reduction, and the like based on the collected system information and system equipment data 151 (step S502), and creates a system model for analysis of the power system E (step S502). Step S504).

Next, the analysis condition setting means 103 includes the analysis system model created in step S504, the assumed accident type data 152, the electronic control machine selection pattern 153, the control table 154, and the change tendency of the monitoring point current of each assumed accident type. Two analysis conditions are set according to the above (step S506).

When the equation (3) holds, the first analysis condition set by selecting the electronic control machine selection pattern having one step more control amount than the electronic control machine selection pattern selected in the previous calculation and the selection in the previous calculation. Create a second analysis condition in which the electronic control device selection pattern is set.

If the equation (3) does not hold, the control amount is one step less than the first analysis condition in which the electronic control machine selection pattern selected in the previous calculation is set and the electronic control machine selection pattern selected in the previous calculation. Create a second analysis condition that is set by selecting a selection pattern.

Next, the analysis condition distribution unit 103c distributes the first analysis condition to the stability determination means 104-1 and the second analysis condition to the stability determination means 104-2 (step S508).

Next, the stability determination means 104-1 performs a transient stability calculation of the first analysis condition (step S510). Further, in parallel with step S510, the stability determination means 104-2 performs the transient stability calculation of the second analysis condition (step S512).

Next, the stability determining means 104 determines whether or not the power system E can maintain stable operation if the assumed accident type occurs, based on the results of the transient stability calculations in steps S510 and S512 (). Step S514). If the electronic control device selection means 105 determines in step S514 that the results of both analysis conditions are unstable, the electronic control device selection of the first condition of adding an electronic control device for each analysis condition, the two. If it is determined that the results are stable under the analysis conditions, the second condition, the electronic control machine is selected (step S516), and the process is returned to step S506. When the electronic controller selection means 105 determines that the result of the first analysis condition is unstable and the result of the second analysis condition is stable, the electronic controller selection pattern of the second analysis condition is selected as the electronic controller selection result. It is determined whether or not the stability determination of all the assumed accident types has been completed (step S518). If it is determined that the stability determination of all the assumed accident types has not been completed, the electronic control device selection means 105 returns the process to step S506. When it is determined that the stability determination of all the assumed accident types has been completed, the electronic control machine selection means 105 sets the control table (step S520), and ends the process of this flowchart.

Although not shown in FIG. 22 for the sake of simplification of the description, the electronic control machine selection means 105 selects an electronic control machine selection pattern in which the number of electronic control machines is reduced or the control amount is one step smaller, as in FIG. It is provided with the second condition, such as selection of an electronic control machine and determination processing using a processing flag.

According to the power system stabilization system SSE of the fifth embodiment described above, the same effect as that of the first embodiment is obtained, and a plurality of stability determination means 104 are provided to perform the stability determination process in parallel. Therefore, the processing time of the stability determination process can be shortened.

(Sixth Embodiment)
Next, the power system stabilization system SSF of the sixth embodiment will be described. In the following description, parts having the same functions as those described in the first to fifth embodiments shall be given the same names and reference numerals, and specific description of the functions shall be omitted. do.

FIG. 23 is a block diagram of the power system stabilization system SSF according to the sixth embodiment. The power system stabilization system SSF shown in FIG. 23 is different from the power system stabilization system SSE shown in FIG. 21 in that the storage device 150 further stores the control amount information 155. Further, the system information collecting means 101 is different in that the processing is performed with reference to the control amount information 155. Therefore, in the following, the processing of the analysis condition setting means 103 of the power system stabilization system SSF will be mainly described.

The analysis condition setting means 103 uses, for example, the following method when setting two analysis conditions.

As the first analysis condition to be output to the stability determination means _104-1 , the analysis condition setting means 103 has a larger control amount _ΣPG than the required control amount PC of each assumed accident type and is controlled to the required control amount _PC . The electronic control device selection pattern with the closest amount ΣP _G is selected from the electronic control device selection pattern 153 and set. At this time, the analysis condition setting means 103 selects, for example, an electronic control machine selection pattern in which the condition of the equation (10) is satisfied.

Similarly, as the second analysis condition to be output to the stability determination means 104-2, the analysis condition setting means 103 has a smaller control amount _{ΣP G than} the required control amount PC of each assumed accident type, and the required control amount P. The electronic control device selection pattern having the closest control amount ΣP _G to _C is selected from the electronic control device selection pattern 153 and set. At this time, the analysis condition setting means 103 selects, for example, an electronic control machine selection pattern that satisfies the condition of the following equation (11).

[ΣP _{G (t)} <PC _(t)
And
min {| ΣP _{G (t)} -PC _(t) |}] ・ ・ ・ (11)

According to the power system stabilization system SSF of the sixth embodiment described above, the same effect as that of the power system stabilization system SSE of the fifth embodiment is obtained, and it is necessary for each of the plurality of stability determination means 104. Since the stability determination process can be performed under the condition that the control amount P _C is close to the control amount ΣP _G , the calculation processing amount per assumed accident type is reduced even when the system state suddenly changes. can do.

According to at least one embodiment described above, the transition tendency of stability and the required control amount are obtained by using the power flow values of the monitoring points of each assumed accident type based on the system information of the power system E, and the transient stability calculation is performed. The central processing unit 9 that sets the analysis conditions, selects the electronic control unit for each of a plurality of assumed accident types in the power system E, and repeatedly sets the control table 154, and the accident type received from the accident detection terminal device 11. The central processing unit 10 determines the control content by collating the control table received from the central processing unit 9, the accident detection terminal device 11 that detects the presence or absence of a system accident and determines the accident type, and the central control device 10. By having the control terminal device 12 that electronically controls the determined electric control machine, it is possible to perform suitable stabilization control for a system accident of the power system at a higher speed.

Although some embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other embodiments, and various omissions, replacements, and changes can be made without departing from the gist of the invention. These embodiments and variations thereof are included in the scope of the invention described in the claims and the equivalent scope thereof, as are included in the scope and gist of the invention.

For example, in the power system stabilization system SSA of the first embodiment, a plurality of stability determining means 104 are provided as in the stability determining means 104-1 and 104-2 of the fifth embodiment, and the same assumed accident occurs. Two or more transient stability operations in which control conditions with different combinations of electronic control devices are set for each type may be performed in parallel.

SS, SSA, SSB, SSC, SSD, SSE, SSF ... Power system stabilization system, 9 ... Central arithmetic unit, 10 ... Central control device, 11 ... Accident detection terminal device, 12 ... Control terminal device, 104 ... Stability judgment Means, E ... power system, N ... power supply information network

Claims (6)

Collect the current system information, create a system model for analysis, perform transient stability calculations for multiple assumed accidents, select the electronic control unit required to maintain the stability of the power system, set it in the control table, and perform the control. A central processing unit that repeatedly sends tables,
An accident detection terminal device that determines the accident type when a system accident occurs and transmits information on the accident type,
The central control device that determines the electronic control device by collating the accident type information received from the accident detection terminal device with the control table received from the central arithmetic unit and transmits the electronic control command.
A power system stabilization system including a control terminal device for disconnecting the power system from the power system according to an power control command received from the central control device.
The central processing unit measures the tide at each monitoring point of the assumed accident, determines the possibility of deficiency control when the control table set in the previous calculation is adopted using the measured monitoring point tide, and controls the deficiency. For the assumed accident that is determined to be, the transient stability calculation is performed and the control table is updated with priority over other assumed accidents.
Power system stabilization system. The central arithmetic unit calculates the required control amount based on the calculation rules of the monitoring point current and the required control amount for each assumed accident, and the control amount when the required control amount and the control table set in the previous calculation are adopted. For assumed accidents where the required control amount is larger than the control amount, the transient stability calculation is performed and the control table is updated with priority over other assumed accidents.
The power system stabilization system according to claim 1. Collect current system information, create a system model for analysis, perform transient stability calculations for multiple assumed accidents, select the electric control unit required to maintain the stability of the power system, set it in the control table, and perform the control. A central processing unit that repeats a series of processes for transmitting a table at a predetermined cycle ,
An accident detection terminal device that determines the accident type when a system accident occurs and transmits information on the accident type,
The central control device that determines the electronic control device by collating the accident type information received from the accident detection terminal device with the control table received from the central arithmetic unit and transmits the electronic control command.
A power system stabilization system including a control terminal device for disconnecting the power system from the power system according to an power control command received from the central control device.
The central processing unit measures the power flow at each monitoring point of the assumed accident, and the change tendency of the measured monitoring point power flow, the electronic control device selection result selected in the previous processing in the series of repeated processes, and A power system stabilization system that sets an electronic control unit as an analysis condition when analyzing whether or not the stability of the power system can be maintained for the assumed accident based on the above. Collect current system information, create a system model for analysis, perform transient stability calculations for multiple assumed accidents, select the electronic control unit required to maintain the stability of the power system, set it in the control table, and perform the control. A central processing unit that repeatedly sends tables,
An accident detection terminal device that determines the accident type when a system accident occurs and transmits information on the accident type,
The central control device that determines the electronic control device by collating the accident type information received from the accident detection terminal device with the control table received from the central arithmetic unit and transmits the electronic control command.
A power system stabilization system including a control terminal device for disconnecting the power system from the power system according to an power control command received from the central control device.
The central processing unit measures the power flow at each monitoring point of the assumed accident, calculates the required control amount based on the calculation rule of the monitoring point power flow and the required control amount for each assumed accident, and the control amount is the most necessary control amount. Select a combination of close electric control units based on the electric control unit selection pattern or the electronic control effect index, and set it as an analysis condition when analyzing whether or not the stability of the power system can be maintained for the assumed accident.
Power system stabilization system. Collect current system information, create a system model for analysis, perform transient stability calculations for multiple assumed accidents, select the electric control unit required to maintain the stability of the power system, set it in the control table, and control the system. A central processing unit that repeatedly sends tables,
An accident detection terminal device that determines the accident type when a system accident occurs and transmits information on the accident type,
The central control device that determines the electronic control device by collating the accident type information received from the accident detection terminal device with the control table received from the central arithmetic unit and transmits the electronic control command.
A power system stabilization system including a control terminal device for disconnecting the power system from the power system according to an power control command received from the central control device.
The central processing unit is provided with a plurality of stability determination means, and sets a plurality of analysis conditions for the same assumed accident with different combinations of electronic controls for each monitored point of the assumed accident based on the change tendency of the monitoring point power flow. A power system stabilization system that performs transient stability calculations for multiple analysis conditions in parallel. The central processing unit is provided with a plurality of stability determination means, obtains the required control amount based on the calculation rule of the monitoring point power flow and the required control amount for each assumed accident, and the control amount is close to the required control amount of the electronic control unit. Select multiple combinations and perform transient stability operations for multiple selected analysis conditions in parallel.
The power system stabilization system according to claim 5.

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