JP2012170168A - Parameter estimation method for power system abridged model, and apparatus using the same - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a parameter estimation method for a power system abridged model, the method capable of updating parameters of an external system abridged model, when on-line data of the external system is limited, or even when an internal system and an external system which is the object of system abridgment are connected by a plurality of different interconnection point nodes; and to provide an apparatus using the method.SOLUTION: An estimation part 8 for estimating external system parameters is designed to adjust reactance X1, X2 of equivalent abridged branches 109a, 109b so that the tidal current P1, P2 of interconnection lines 105a, 105b and the tidal current of on-line data interconnection lines (the current tidal current P1on, P2on of the interconnection lines 105a, 105b) become equal.

Description

  The present invention relates to a technique for generating a reduced model of an external system, and more particularly to a parameter estimation method and apparatus for a reduced model.

[Outline of background technology]
As a technical background of the present invention, an accident ripple prevention relay system to which the present invention is applied will be described first. Next, the configuration and generation process of an analysis model that is a contracted model will be described, and then the prior art of parameter estimation of the contracted model according to the present invention will be described.

[Accident Ripple Prevention Relay System]
Generally, in an electric power system, when an accident such as a lightning strike occurs, there is a risk that the generator will step out due to the influence. Therefore, an accident ripple prevention relay system is adopted for the power system. In this relay system, generator out-of-step can be prevented beforehand by detecting the occurrence of an accident, performing system stabilization calculation when the accident occurs, and determining and implementing control details such as power limitation. .

[Accident Ripple Prevention Relay System]
As described in Non-Patent Document 1, the accident propagation prevention relay system described above can be classified into three methods: a post-operation type, an offline pre-calculation type, and an online pre-calculation type. The post-calculation type is a system that performs system stabilization calculation to determine the control content after an accident occurs.

  On the other hand, the offline and online pre-calculation types are systems in which system stabilization calculation is performed assuming an accident before an accident actually occurs, and has a pre-calculation unit. . As a basic function, the pre-calculation unit has a function to execute state estimation and system contraction (hereinafter referred to as state estimation / system contraction function), screening function, stability calculation function, stability determination function, and electrical equipment selection. Five types of functions are provided.

  The pre-computation unit uses system information before the occurrence of the accident as computation data. The offline pre-computation type and the online pre-computation type are classified according to the computation data used at this time. In the offline pre-computation type, system information assumed from the planned system / tidal current is used as computation data. On the other hand, in the online pre-calculation type, online data such as the power flow status of the system and the circuit breaker on / off information is used as the calculation data.

[State estimation / system reduction processing in the accident prevention relay system]
The flowchart of FIG. 8 shows a schematic control flow of the pre-calculation unit in the online pre-calculation type accident spill prevention relay system. As shown in FIG. 8, the pre-calculation unit first performs state estimation / system reduction processing for generating an analysis model. Hereinafter, the state estimation / system contraction function will be described focusing on system contraction. Note that screening and stability calculation, which are processes after the state estimation / system reduction process, are only shown in the schematic control flow of FIG. 8, and detailed description thereof is omitted.

[Structure of analysis model]
In the online pre-computation type accident prevention relay system, the pre-computation unit performs the stability calculation to determine the electric control equipment necessary to prevent step-out. The generation of is essential.

  The analysis model is often configured by combining not only an internal system model that is a protection target system of the accident-prevention relay system but also an internal system model and an external system model that is a system other than the internal system. An analysis model composed of an external system model and an internal system model is called an original system model, but an actual analysis model employs a model called a reduced system model based on the original system model.

  Here, the original system model composed of the external system model and the internal system model and the contracted system model composed of the external system contraction model and the internal system model will be described with reference to FIG. As shown in FIG. 9A, the original system model 1 includes an internal system model 101, an external system model 102, and a single interconnection line 105 that connects (couples) both. Reference numerals 103 and 104 denote interconnection point nodes on the internal system model 101 and external system model 102 side, respectively. That is, the internal system model 101 and the external system model 102 that is a system contraction target are connected by one interconnection point node 103, 104, respectively.

  In the original system model 1, the external system model 102 is a system contraction target, and the interconnection point node 104 on the external system model 102 side is a contraction start node. Further, a symbol Zs in FIG. 9A represents a short-circuit impedance when the system contraction target side, that is, the external system model is viewed from the contraction start node. As a conventional technique for generating a system contraction model, there is known a method for simplifying a system contraction target using an existing system contraction technique such as a short-circuit capacity method or a two-load method as disclosed in Patent Document 1. Yes.

  FIG. 9B shows an example in which the external system model 102 is a reduced model using the short-circuit capacity method. As shown in FIG. 9B, the contracted system model 5 includes an internal system model 101, an external system contracted model 106, and a single interconnection line 105 that connects (couples) both. . The internal system model 101 in the contracted system model 5 is the same as that of the original system model 1 described above, but the external system contracted model 106 includes an equivalent contracted generator 107, an equivalent contracted branch 109, and an equivalent contracted load 108. It is composed of

[Generate reduced system model]
The generation of the reduced system model 5 as described above is realized by the state estimation / system reduction function of the pre-calculation unit. At this time, the contracted system model 5 is generated through a two-stage process of state estimation and system contraction. The state estimation is processing for collecting information on the internal system online and determining the initial state of the internal system model 101.

[State estimation]
Information collected from the internal system online in the state estimation includes internal system telemeter information (hereinafter referred to as TM information) and supervision information (hereinafter referred to as SV information). Among these, TM information is tidal current information obtained by measuring tidal current values and bus voltage values of each line. Moreover, SV information is parallel solution information of the generator and power transmission line used as breaker on / off information. Thus, the internal system model 101 generated by collecting various information from online can be a detailed simulation model.

[System reduction]
On the other hand, unlike the internal system model 101, the external system model 102 that is not subject to protection has restrictions on the collectable online data. In addition, the external system model 102 is required to reduce the calculation time required for the system stabilization calculation. Therefore, the pre-computation unit of the online pre-computation system performs system contraction in the range in which the calculation accuracy can be maintained with respect to the phenomenon of interest with respect to the external system model 102, and generates the external system contract model 106 that is a simplified simulation.

[Parameters for external system reduction model]
By the way, in the system reduction process in the pre-operation unit, it is necessary to generate the external system reduction model 106 and update the parameters of the generated external system reduction model 106. However, since online data from the external system is limited to collection, each parameter of the external system contraction model 106 is estimated based on the limited data and updated based on the estimated value. Therefore, the accuracy of the estimated value greatly affects the accuracy of the reduced model. The parameter estimation of the contracted model according to the present invention is just a technique related to this point.

  Specifically, the parameters of the external system contraction model 106 include the electrical output of the equivalent contracted generator 107, the generator constant (rated capacity, internal impedance, etc.), the equivalent contracted load 108, and the equivalent contracted branch 109. Impedance and the like. The impedance of the equivalent contracted branch 109 is obtained by subtracting the internal impedance of the equivalent contracted generator 107 from the short-circuit impedance viewed from the interconnection point node 104 that is the contraction start node and viewed from the system contraction target side. .

[Prior art of system reduction processing]
Next, the prior art of system reduction processing will be described with reference to FIG. 10 according to the flow of external system modeling in system reduction described in Non-Patent Document 1. FIG. 10 is an explanatory diagram showing a combination of processing flows to each means for realizing functions related to system contraction. As shown in FIG. 10, when external system modeling is performed, it is divided into a part executed in offline processing (offline processing part A) and a part executed in online real time processing (online real time processing part B).

  The offline processing unit A includes a coherency determination / grouping processing unit 2, a contraction start point search unit 3, an external system contraction unit 4, and a contraction model accuracy evaluation unit 6. The coherency determination / grouping processing unit 2 performs coherency determination and groups generator groups that are shaken together when an accident occurs.

  The contraction start point search unit 3 searches for a point (contraction start point) suitable for grouping the generator group. Further, the external system contraction unit 4 is based on the original system model 1 (an analysis model in which the internal system model 101 and the external system model 102 are combined), and the contracted system model 5 (the internal system model 101 and the external system contraction). An analysis model combining the model 106) is generated. As a generation method of the reduced system model 5 by the external system reduction unit 4, an existing reduction method such as a short-circuit capacity method or a two-load method is used (see Non-Patent Document 2).

  The reduced model accuracy evaluation unit 6 evaluates the calculation accuracy for the phenomenon of interest with respect to the reduced system model 5 generated by the external system reduction unit 4. Further, the reduced model accuracy evaluation unit 6 compares the calculation accuracy for a predetermined phenomenon between the original system model 1 and the generated reduced system model 5.

  Then, until the reduced model accuracy evaluation unit 6 determines that the calculation accuracy of the reduced system model 5 satisfies a preset level, that is, until the calculation accuracy of the reduced model is satisfied, the coherency determination / grouping is performed. Processing such as coherency determination by the processing unit 2 and grouping of generator groups, reduction start point search by the reduction start point search unit 3, and system reduction by the external system reduction unit 4 are repeated.

  On the other hand, the online real-time processing unit B takes in the online data 7 of the external system whose collection is limited and the internal system model 10 whose initial state is determined by state estimation. The online real-time processing unit B includes an external system parameter estimation unit 8 and an entire system model generation unit 11.

  The external system parameter estimation unit 8 takes in the online data 7 of the external system, estimates each parameter of the external system contraction model 106, updates each parameter to an estimated value, and generates an update model 9. Further, the entire system model generation unit 11 generates the entire system model 12 by combining the update model 9 generated by the external system parameter estimation unit 8 and the internal system model 10 (initial state determined).

[Parameter estimation of external system reduction model]
As a prior art relating to parameter estimation of the external system reduction model 106, Patent Document 1 and the like have been proposed. In the parameter estimation method of Patent Document 1, it is assumed that the power generation amount and load amount of the external system change with the same tendency as that of the internal system. For this reason, parameters such as the electrical output of the equivalent reduced generator 107 and the equivalent reduced load 108 are estimated using the online data 7 of the internal system.

  Further, in the parameter estimation method of Patent Document 1, the online data 7 of the internal system is used for the parameters such as the generator constant of the equivalent contracted generator 107 and the impedance of the equivalent contracted branch 109 such as the equivalent contracted load 108. Instead of using it, the following estimation is performed.

  That is, as in the 11th to 15th embodiments of Patent Document 1, facility-related data such as facility data representing the specifications of all facilities of the external system and the interconnection line, and power generation of online data of the external system The external system model 102 corrected to the current generator parallel state is generated using the machine parallel solution sequence information (SV information). Then, using the generated external system model 102, the parameters, that is, the generator constants of the equivalent contracted generator 107 and the equivalent contracted branch 109 are determined by an existing system contraction method such as the short-circuit capacity method or the two-load method. Impedance is calculated for each period.

Japanese Patent Laid-Open No. 10-56735

IEEJ Technical Report No.801, Relay Outage / Accident Ripple Relay Technology, IEEJ Electric Cooperative Research Vol. 34, No. 5, Power System Stability, Electric Cooperative Research Group

  However, the following problems have been pointed out in the above prior art. That is, in the method described in Patent Document 1, as shown in the 11th to 15th embodiments, parameters such as the generator constant of the equivalent contracted generator 107 and the impedance of the equivalent contracted branch 109 are estimated. And so much data was needed.

  As described above, the data necessary for parameter estimation includes equipment related data such as equipment data representing the specifications of all equipment of the external system and interconnection lines, and all generators of the external system as online data of the external system. Generator parallel arrangement information (SV information) and tidal current information (TM information) of the interconnection line.

  Therefore, when the scale of the external system increases, for example, when the entire power system of one power company is the target of the external system, a large amount of facility-related data and online data are required for updating the parameters of the external system. Necessary. Specifically, if there are 100 generators in the external system that is the contracting target system, the generator parallel solution sequence information (SV information) is 100 quantities in order to update the generator constant of the equivalent contracted generator. is necessary. If there are 1000 power transmission lines, 1000 pieces of equipment-related data are required to update the impedance of the equivalent contract branch. Such a huge amount of data has a problem that it requires a lot of labor to manage it.

  Moreover, online data of external systems that are not protected by the relay system is often limited, and it is uncertain whether data can be acquired as intended. If the necessary online data cannot be acquired, there will be a problem that the parameters of the external system reduction model cannot be updated.

  In an actual power system, the demand changes from moment to moment, and the output of the generator, the number of operating units, and the system voltage are adjusted accordingly. Therefore, in order to generate an external system contraction model that matches the current time, it is essential to update each parameter in the external system contraction model. Therefore, development of a parameter estimation technique that can appropriately estimate each parameter of the external system contraction model without depending on online data obtained from the external system has been awaited.

  In addition, as described in Patent Document 1, conventionally, an electric power system is assumed in which an external system model and an internal system model that are subject to system contraction are connected to each other at one interconnection point node (see FIG. 9). Therefore, when the external system model and the internal system model are connected by a plurality of different interconnection point nodes, it is not possible to cope with it, and it is difficult to update the parameters of the external system contraction model.

  In recent years, the power system has become more complex, and it is expected that the external system model and the internal system model are connected by a plurality of different interconnection point nodes. Therefore, even when the external system model and the internal system model are connected by a plurality of different interconnection point nodes, it has been desired to reliably estimate the parameters of the external system contraction model correspondingly.

  The present invention has been proposed in order to solve the above-described problems. The object of the present invention is to limit the on-line data of the external system, or when the internal system and the external system to be reduced are a plurality of external systems. An object of the present invention is to provide a power system contraction model parameter estimation method and apparatus capable of estimating an external system contraction model parameter even when connected at different interconnection point nodes.

  In order to achieve the above object, according to the present invention, the analysis model used for the stability calculation of the on-line pre-calculation type accident spill prevention relay system is composed of a detailed simulation internal system model and a simplified simulation external system reduction model. In the parameter estimation method of the power system contraction model for estimating the parameters of the external system contraction model using online data, when there are a plurality of interconnection points between the internal system model and the external system contraction model The impedance of the equivalent contracted branch, which is a parameter of the external system contraction model, so that the power line current at each connection point and the short-circuit impedance seen from the connection point on the external system model side coincide with the current system state It is characterized by adjusting.

  According to the present invention, even when there are a plurality of interconnection points of the internal system model and the external system reduction model, the short-circuit impedance when the external system model side is viewed from the interconnection point and the interconnection point at each interconnection point is By adjusting the impedance of the equivalent reduction branch so that it matches the system state of the system, the estimated values of the parameters of the external system reduction model can be updated, and the online data collected from the external system is limited However, it is possible to reliably update the parameters of the external system reduced model and generate a highly accurate reduced model.

Explanatory drawing which shows an example of the function structure relevant to the system | strain reduction of a prior arithmetic part, and input / output relationship. (A) is a structural example of an original system model, (b) is a figure which shows the structural example of a reduction system model. The figure which shows the creation flow of the reduction system model in an external system reduction part. The system diagram of the simple 2 terminal system | strain of 1 branch and 2 nodes. The graph which shows an example showing the relationship between (SIGMA) MVA and Zs. The figure which shows the processing flow of the relational expression production | generation part of (SIGMA) MVA and Zs. The figure which shows the process flow which estimates the impedance of an equivalent reduction branch, and the generator constant of an equivalent reduction generator. The figure which shows the general | schematic control flow of the precomputation part of the online precomputation type | system | group system of a nonpatent literature 1. (A) is a structural example of an original system model, (b) is a figure which shows the structural example of a reduction system model. Explanatory drawing explaining the flow of external system | strain modeling in the system | strain reduction of a nonpatent literature 1. FIG.

(1) Representative embodiment [configuration]
Hereinafter, typical embodiments of the present invention will be specifically described with reference to FIGS. FIG. 1 is an explanatory diagram showing an example of the functional configuration and input / output relationship related to system contraction of the pre-calculation unit according to the present embodiment, and implements functions related to system contraction as in FIG. Each means is shown in combination with a processing flow.

  In FIG. 1, the same part as the conventional example shown in FIG. 10, that is, the coherency determination / grouping processing unit 2 on the offline processing unit A side, the contraction starting point search unit 3, the contracted model accuracy evaluation unit 6, online real-time About the online data 7 and the whole system model 12 by the side of the process part B, the same code | symbol is attached | subjected and description is abbreviate | omitted.

[Configuration overview]
The present embodiment is applied to an on-line pre-calculation type accident spill prevention relay system, and is a parameter estimation method and apparatus for a power system contraction model. This embodiment is a configuration that can cope with a case where there are a plurality of interconnection points of the internal system model and the external system contraction model.

  The feature of the present embodiment is that the impedance of the equivalent reduction branch, which is a parameter of the external system reduction model, is the current of the interconnection line at each interconnection point and the short-circuit impedance viewed from the interconnection point toward the external system model. There is a feature in that the estimated value of the parameter is updated by adjusting it so as to match the system state.

  Specifically, in the present embodiment, a reduced system model creation process by the external system reduction unit 4 (offline processing unit A side) and a parameter estimation process by the external system parameter estimation unit 8 (online real-time processing unit B side) There is a feature. The processing of the external system reduction unit 4 will be described later with reference to FIG. 3, and the processing of the external system parameter estimation unit 8 will be described with reference to FIG.

  Further, this embodiment has the following functional configuration in addition to the conventional functional configuration on the offline processing unit A side shown in FIG. That is, the offline processing unit A in the present embodiment is provided with three databases 13, 15, 17, a relational expression generation unit 14, and a calculation unit 16.

  The relational expression generation unit 14 is means for performing a process for generating a functional expression indicating the relationship between the generator rated capacity total ΣMVA of the external system and the short-circuit impedance Zs (refer to FIGS. 5 and 6 for the process of generating the functional expression). Later). The calculation unit 16 is a means for calculating the generator rated capacity total ΣMVAof of the internal system.

  Of the above three databases 13, 15, and 17, the database 13 is a part that stores the operation results of the actual system such as the generator operating state and load, and the facility stop pattern of the external system, and the database 15 is a relational expression generating unit. 14 is a part for storing the relational expression generated, and the database 17 is a part for storing the calculation result of the calculation unit 16.

[Configuration example of original system model and reduced system model]
Before describing the processing by each component, a configuration example of the original system model and the reduced system model in the present embodiment will be described with reference to FIG. As described above, the present embodiment is also applicable to a case where the internal system and the external system that is the target of system contraction are connected by a plurality of different interconnection point nodes. Therefore, a case where a reduced system model 5 as shown in FIG. 2B is generated from the original system model 1 as shown in FIG. 2A will be described as an example.

  The original system model 1 shown in FIG. 2A includes an internal system model 101, an external system model 102, and two interconnection lines 105a and 105b that connect (couple) the internal system model 101 and the external system model 102. The external system model 102 is a system contraction target. Zs represents a short-circuit impedance when the external system model 102 side is viewed from the node 110 in the internal system model 101, and the branch lines 113a, 113b, and 113c between the node 110 and the connection point nodes 103a and 103b are open-circuit impedances. (Open only when the short-circuit impedance is obtained).

  The reduced system model 5 of FIG. 2B is the same as the original system model 1 with respect to the internal system model 101, but the equivalent reduced generator 107 and the equivalent reduced load 108 with respect to the external system reduced model 106. , Equivalent reduction branches 109a, 109b, and 109c. In addition, in FIG. 2, although the example which has two connection points of each system | strain is shown, two or more places or one place may be sufficient.

[External system reduction unit 4]
Next, the creation process of the reduced system model 5 by the external system reduction unit 4 will be described with reference to the flowchart of FIG. First, the external system contracting unit 4 performs a power flow calculation using the original system model 1 (4 Step 1).

Using this power flow calculation result and the original system model 1, the existing system contraction methods such as the short-circuit capacity method and the two-load method, the generator constants such as the rated capacity and internal impedance of the equivalent contracted generator 107, and the equivalent contraction The load 108 is calculated (4 Step 2). Note that the voltage V0 of the node to which the equivalent reduced load 108 is connected is a weighted average value of all load node voltages in the external system model 102 of the original system model 1, and is calculated by the equation (1). The subscript i represents each load node in the external system model 102.

  Next, the external system reduction unit 4 uses the original system model 1 and its power flow calculation result to calculate the internal voltage Eq∠θq, the terminal voltage VG, and the electrical output effective component PG of the equivalent reduction generator 107 as follows. It calculates as follows (4Step3). For the internal voltage Eq∠θq, the internal voltage of each generator in the external system model 102 is calculated by equation (2), and based on this, the capacity weighted average value of all the generators is calculated by equations (3) and (4). This is used as the internal voltage Eq∠θq of the equivalent contracted generator 107.

  Further, the terminal voltage VG and the effective electrical output PG are obtained by the following equations (5) and (6). In equations (2) to (6), Ra and Xq are generator internal impedances, VG is a terminal voltage (vector value), IG is a terminal current (vector value), GMVA is a rated capacity, and PG is an electric output effective. Minutes. Note that the subscript i represents each generator in the external system model 102.

Further, the external system reduction unit 4 calculates the reactances X1, X2, and X0 of the equivalent reduction branches 109a, 109b, and 109c (4 Step 4). The data necessary for the calculation are the power flow calculation result of the original system model 1 (the voltage absolute value and phase of the contracting start nodes 104a and 104b), the internal voltage Eq∠θq of the equivalent contracted generator 107, and the terminal voltage absolute value. VG, effective electrical output PG, internal impedance Xq, and equivalent reduced load node voltage V0∠θ0 are calculated based on the following equation (7).

  The above equation (7) is a formula for calculating the active power P in the one-branch / two-node simple two-terminal system shown in FIG. 4, where X is the reactance of the branch, Va and Vb are the absolute voltage values of the nodes at both ends, δ Indicates a phase difference angle (= θa−θb) between both end nodes. Note that the resistances of the reactances X1, X2, and X0 are omitted for simplification.

  First, an initial value X1 (0) is set to the reactance X1 of the equivalent contraction branch 109a, the voltage V1 縮 θ1 of the contraction start node 104a of the power flow calculation result, the active power P1 of the interconnection line 105a, the equivalent contraction load node The voltage phase θ0 of the equivalent reduced load node is calculated from the equation (8) using the voltage absolute value V0. The reactance initial value X1 (0) of the equivalent contraction branch 109a may be set as shown in equation (9) (assuming that δ = 30 degrees).

The reactance X2 of the equivalent reduction branch 109b is equivalent to the voltage V2∠θ2 of the reduction origin node 104b, the effective power P2 of the interconnection line 105b, the voltage V0∠θ0 of the equivalent reduction load node, and the reduction origin node 104b. Using the phase difference angle δ2 (= θ2−θ0) between contracted load nodes, the calculation is performed from the following equation (10). By calculating X1 and X2 in this way, the tidal currents flowing through the interconnection lines 109a and 109b match between the original system model 1 and the reduced system model 5.

  Further, regarding the reactance X0 of the equivalent contracted branch 109c, the terminal voltage phase θG is calculated from the internal voltage Eq∠θq of the equivalent contracted generator 107, the terminal voltage absolute value VG, the effective electrical output PG, and the internal impedance Xq as (11 ) And then based on equation (12). As a result of the above calculation, the parameters of the external system contraction model 106 are provisionally set, and the contracted system model 5 in which the internal system model 101 and the external system contraction model 106 are combined is generated.

  Next, the external system reduction unit 4 confirms whether the short-circuit impedance Zs ′ of the reduced system model 5 matches the short-circuit impedance Zs of the original system model 1. That is, using the original system model 1, the short-circuit impedance Zs of the external system model 102 side (system reduction target side) is calculated from the internal system model 101 (4Step 5), and the internal system model 5 is used to calculate the internal system The short-circuit impedance Zs ′ when the external system contraction model 106 side is viewed from the model 101 is calculated (4 Step 6).

  Then, the short-circuit impedance Zs of the original system model 1 is compared with the short-circuit impedance Zs ′ of the contracted system model 5 (4Step 7). If they do not match (No in 4Step 8), the process returns to 4Step 4 and equivalent contraction is performed. The reactances X1, X2, and X0 of the branches 109a, 109b, and 109c are recalculated. Further, when the short-circuit impedance Zs of the original system model 1 and the short-circuit impedance Zs ′ of the contracted system model 5 match (Yes in 4Step 8), the processing ends.

  That is, in the external system reduction unit 4, reactances X1, X2, and X0 in which the power flows P1 and P2 and the short-circuit impedance Zs (Zs ′) of the interconnection lines 105a and 105b of the original system model 1 and the reduced system model 5 match. 4Step 4 to 4Step 7 are repeated until is obtained. In the case of the calculation method using the equation (8), the reactance X1 of the equivalent contraction branch 109a is corrected (for example, about ΔX1 = 0.001PU), and the reactances X2 and X0 are calculated again. Become.

  As described above, the external system contracting unit 4 calculates the power flow (4 Step 1), calculates the generator constant / equivalent contracted load (4 Step 2), calculates the electrical output effective component (4 Step 3), and calculates the reactance of the equivalent contracted branch ( Each parameter of the external system contraction model 5 is provisionally set by performing a plurality of calculations such as 4Step4). Then, the calculation and comparison (4 Steps 5 to 7) of the short-circuit impedances Zs and Zs ′ are repeated to finally match the two impedances.

[Function Expression Generation Unit 14]
Next, the processing flow of the ΣMVA and Zs function expression generation unit 14 of the offline processing unit A will be described with reference to FIGS. 5 and 6. In the functional expression generation unit 14 of ΣMVA and Zs, the relationship between the rated capacity total ΣMVA of the operating generator of the external system model 102 and the short-circuit impedance Zs of the external system model 102 as shown in the graph of FIG. Calculate the function expression. The specific calculation procedure is as follows.

  FIG. 6 shows a processing flow of the relational expression generation unit 14 of ΣMVA and Zs. The relational expression generation unit 14 of ΣMVA and Zs generates a plurality of original system models 1 in which the operation state and load of the generator are changed based on the actual operation results 13 such as the generator operation state and the load amount. (14 Step 1).

  Subsequently, the rated capacity total ΣMVA (14 Step 2) of the operating generator in the external system model 102 in each original system model 1 and the external system model 102 side (system contraction target side) from the connection point nodes 104a and 104b. The short-circuit impedance Zs (14 Step 3) is calculated. Further, it is confirmed whether all the assumed patterns are completed (14 Step 4). If all the assumed patterns are completed (Yes in 14 Step 4), the ΣMVA and Zs (circles in FIG. 5) in each original system model 1 are used. (14 Step 5).

  Note that if there is an equipment outage in the external system (multiple generators at the same power plant, transmission line route, etc.), the relationship between ΣMVA and Zs changes significantly (marked with □ in FIG. 5). The expression itself may change. In response to such a situation, in the present embodiment, the relationship between ΣMVA and Zs and the functional expression in all the external system equipment stop patterns assumed are obtained.

  The function formula obtained by the function formula generation unit 14 is stored in the database 15 so that it can be used by the online real-time processing unit B. The relationship between ΣMVA and Zs and the function equation in FIG. 5 are examples, and the example in FIG. 5 describes the case where the relationship between ΣMVA and Zs is linearly approximated (y = ax + b, y = cx + d). May be polynomial approximation (such as quadratic), polygonal line approximation, or the like, or an approximation formula that matches the characteristics of the target system.

[Calculation unit 16]
Next, the internal system ΣMVAof calculation unit 16 of the offline processing unit A will be described. The ΣMVAof calculation unit 16 calculates the rated capacity total ΣMVAof of the operating generator in the internal system model 101 from the original system model 1 (base model) and stores it in the database 17. Therefore, the ΣMVAof stored in the database 17 can be used in the online real-time processing unit B.

[External system parameter estimation unit 8]
Next, the external system parameter estimation unit 8 of the online real-time processing unit B will be described. As described above, in the external system contraction model 106 shown in FIG. 2B, when estimating or updating the impedance of the equivalent contracted generator and the impedance of the equivalent contracted branch, which are external system parameters. In the methods in the 11th to 15th embodiments of Patent Document 1, which is a conventional technology, all generator parallel solution sequence information (SV information) and interconnection current information (TM information) as online data of the external system ) Was used.

  In addition, equipment-related data such as equipment data representing all the specifications of the external system and the interconnection line was necessary. Moreover, the online data of external systems that are not protected by the accident transmission relay system is often limited, and when the online data is not available, there is a problem that parameters cannot be updated. Furthermore, if the scale of the external system is extremely large, such as capturing the entire power system of one electric power company as the external system, a great deal of effort will be devoted to managing equipment-related data.

  Therefore, the external system parameter estimation unit 8 in this embodiment estimates the generator constant of the equivalent contracted generator and the impedance of the equivalent contracted branch as shown in the processing flow of FIG. Has been eliminated. FIG. 7 shows a processing flow in which the external system parameter estimation unit 8 estimates the impedance of the equivalent contracted branches 109a, 109b, 109c and the generator constant of the equivalent contracted generator 107.

  In addition, estimation of parameters such as the electrical output of the equivalent reduced generator 107 and the equivalent reduced load 106 in the external system reduction model 106 is the same as in Patent Document 1. For this reason, the description of the estimation process of the electrical output of the equivalent reduced generator 107 and the equivalent reduced load 106 is omitted.

  The external system parameter estimation unit 8 estimates the current generator rated capacity total ΣMVAse of the external system as follows (8 Step 1). That is, the current generator rated capacity total ΣMVAon of the internal system is calculated using the online data of the internal system. Using this ΣMVAon and ΣMVAof (calculation result of the calculation unit 16) stored in the database 17, the increase / decrease rate α of ΣMVAon when ΣMVAof is used as a reference is calculated. Then, a value obtained by multiplying the rated capacity of the equivalent contracted generator 107 of the contracted system model 5 (base model) by the increase / decrease rate α is estimated as the current generator rated capacity total ΣMVAse of the external system.

  Next, the external system parameter estimation unit 8 adjusts the generator constant of the equivalent contracted generator 107 (8 Step 2). Here, the generator self-capacitance-based PU value is set for the generator constant such as the internal impedance of the equivalent contracted generator 107, and the rated capacity that is the generator constant is set to ΣMVAse estimated in 8Step1. And generator constants, such as internal impedance, are adjusted by changing base capacity.

  Further, the external system parameter estimation unit 8 adjusts the equivalent contracted branch (8 Step 3). In this process, the equivalent contracted branch 109a so that the tides P1 and P2 of the interconnection lines 105a and 105b coincide with the interconnection line tides of the online data (current tides P1on and P2on of the interconnection lines 105a and 105b). , 109b reactances X1 and X2 are adjusted. The reactance X0 of the equivalent contract branch 109c is a fixed value.

  Regarding the reactances X1 and X2 of the equivalent contracted branches 109a and 109b, the above formulas (8) and (10) and the state estimation calculation result of the internal system model 101 (absolute voltage values and phases of the contraction start nodes 104a and 104b) In addition, the calculation is performed by using the interconnected power flow P1on and P2on of the online data and the voltage V0 of the equivalent reduced load node.

  The reactance X1 of the equivalent contracted branch 109a is set by using the value of the contracted system model 5 (base model) as a provisional value, the voltage V1∠θ1 of the equivalent contraction start node 104a, the interconnection power flow P1on, and the equivalent contracted load. Using the voltage absolute value V0 of the node, the phase difference angle δ1 between the contracting start node 104a and the equivalent contracted load node is calculated from the above equation (8). Thereby, the voltage phase θ0 of the equivalent reduced load node can be obtained.

  The reactance X2 of the equivalent contraction branch 109b is equivalent to the voltage V2∠θ2 of the contraction start node 104b, the voltage V0∠θ0 of the equivalent contraction load node, the interconnection line power flow P2on, and the contraction start node 104b. Using the phase difference angle δ2 between the load nodes, calculation is made from the above equation (10).

  Further, the external system parameter estimation unit 8 estimates the short-circuit impedance of the external system in 8 Step 4. That is, the function formulas of the current generator rated capacity total ΣMVAse estimated at 8 Step 1 and the rated capacity total ΣMVA of the operating generator stored in the database 15 and the short-circuit impedance Zs of the external system model 102 are The short-circuit impedance estimated value Zse of the external system is calculated using this.

  In addition, when it is necessary to switch the function formula to be used due to a specific generator (multiple generators at the same power plant) stoppage or a specific transmission line route stoppage, the opening / closing information of the equipment is stored as online data 7 of the external system. (SV information) is obtained and a relational expression corresponding to the stop condition is used. At this time, the facility stop that needs to be switched is limited to the generator and the transmission line close to the interconnection point. Therefore, the SV information that increases with the switching of the relational expression is limited. It does not handle huge amounts of data.

  Next, the external system parameter estimation unit 8 calculates the short-circuit impedance Zs ′ of the external system contraction model 106 using the update model 9 of the external system contraction model 106 (8 Step 5). Then, the short-circuit impedance Zs ′ obtained in 8 Step 5 is compared with the short-circuit impedance estimated value Zse of the external system obtained in 8 Step 4 (8 Step 6).

  At this time, when the short-circuit impedance Zs ′ of the external system contraction model 106 does not coincide with the short-circuit impedance estimated value Zse of the external system (No in 8Step7), the process returns to 8Step3, and the reactance X1 of the equivalent contraction branches 109a and 109b , X2 is recalculated. If the short-circuit impedance Zs ′ of the external system contraction model 106 matches the short-circuit impedance estimated value Zse of the external system (Yes in 8Step 7), the process is terminated.

  In other words, in the external system parameter estimation unit 8, the reactances X1 and X2 in which the online data interconnection currents P1on and P2on and the currents P1 and P2 of the interconnection lines 105a and 105b, the short-circuit impedance Zse and the estimated value Zs ′ coincide with each other Repeat 8Step3-8Step6 until obtained. In the case of the calculation method using the equation (8), the reactance X1 of the equivalent contraction branch 109a is corrected (for example, about ΔX1 = 0.001PU), and the reactance X2 is calculated again.

  Further, in the above description, the current total rated capacity ΣMVA of the external system is estimated, but if available as online data of the external system, it can be used to generate the generator of the equivalent contracted generator. Constant adjustment (8 Step 2) and equivalent contracted branch adjustment (8 Step 3) may be performed.

  In this case, the rated capacity and generator constant of the equivalent reduced generator 107 more closely match the current system state, and the accuracy of the short-circuit impedance estimated value Zse of the external system is improved. Therefore, it is possible to generate a highly accurate external system contraction model 106 that matches the current system state only by increasing the amount of online data of the external system by only one amount.

[Function and effect]
As described above, according to this embodiment, even if the internal system model 101 and the external system model 102 that is the target of system contraction are connected by a plurality of different connection points 105a and 105b, To generate a highly accurate external system contraction model 106 in which the interconnection line flow at the system points 105a and 105b and the short-circuit impedance when the external system model 102 side is viewed from the connection points 105a and 105b match the current system state. Can do.

  Moreover, in the present embodiment, the short-circuit impedance of the external system contraction model 106 can be adjusted according to the operating state of the generator. For this reason, compared with the case where the short-circuit impedance is not adjusted, the voltage drop at the contraction point during the accident coincides with the voltage drop of the detailed model that does not contract the external system. Therefore, the accuracy of the external system reduction model is further improved.

  Further, even when the online data of the external system is limited, it is possible to update the parameters of the external system contraction model. In addition, equipment-related data such as equipment data representing all the specifications of the external system and interconnection lines is unnecessary, and a great amount of labor required for data management can be saved.

  Furthermore, if the generator rated capacity total ΣMVA can be obtained as online data of the external system, the rated capacity and generator constant of the equivalent reduced generator 107 more closely match the current system state, and the external system The accuracy of the short-circuit impedance estimated value Zse can be improved. That is, the accuracy of the external system contraction model can be greatly improved with a minimum increase in the online data of the external system.

(2) Other Embodiments The present invention is not limited to the above-described embodiments. For example, as another method for calculating the reactances X1, X2, and X0 of the equivalent contracted branches 109a, 109b, and 109c, The embodiment which implements such a method is also included.

  In other words, the power equations (simultaneous quadratic equations) of the small scale system up to the equivalent contracted branches 109a, 109b, and 109c and both terminals of each branch are established, and the known constants other than the reactances X1, X2, and X0 are set. It is also possible to solve the power equation and obtain reactances X1, X2, and X0.

  As a known constant, in the external system contracting unit 4, the power flows P1 and P2 of the interconnection lines 105a and 105b obtained as the power flow calculation result of the original system model and the voltages V1Ｖθ1 of the contracting start nodes 104a and 104b, V2∠θ2, the terminal voltage VG∠θG of the equivalent contracted generator 107, the equivalent contracted load 106, and the voltage absolute value V0 of the equivalent contracted load node are given. In the external system parameter estimation unit 8, the voltages V1∠θ1 and V2∠θ2 of the contraction start nodes 104a and 104b obtained as the result of the state estimation calculation of the internal system model, the online data interconnection line flows P1on and P2on, equivalent reduction About the voltage absolute value V0 of the load node is given.

  Furthermore, set appropriate values for reactances X1, X2, and X0, and execute tidal current calculations such as the alternating current method and the direct current method, so that the tidal currents P1 and P2 of the interconnection lines 105a and 105b match the original system model 1. Or, check whether it matches the online power flow P1on, P2on of the online data, and if it does not match, correct the reactance X1, X2, X0 and check again by power flow calculation until trial and error The method of calculating to

1 ... Original system model (base model)
2 ... Coherency judgment / grouping processing unit 3 ... Reduction starting point search unit 4 ... External system reduction unit 5 ... Reduction system model (base model)
6 ... Reduced model accuracy evaluation unit 7 ... Online data 8 ... External system parameter estimation unit 9 ... Update model 10 of external system contraction model ... Internal system model 11 ... Entire system model generation unit 12 ... Entire system models 13, 15 17 ... Database 14 ... ΣMVA and Zs relational expression generation unit 16 ... Internal system ΣMVAof calculation unit 101 ... Internal system model 102 ... External system model 103, 103a, 103b ... Link point nodes 104, 104a, 104b of the internal system model Connection point node of external system model (contraction start node)
105, 105a, 105b ... interconnection line 106 ... external system reduction model 107 ... equivalent reduction generator 108 ... equivalent reduction load 109, 109a, 109b, 109c ... equivalent reduction branch

Claims (5)

When the analysis model used to calculate the stability of the online precomputed accident prevention relay system is composed of a detailed simulated internal system model and a simplified simulated external system reduced model, the parameters of the external system reduced model are In the parameter estimation method of the reduced model of the power system estimated using data,
When there are multiple interconnection points of the internal system model and the external system contraction model, the interconnection current at each interconnection point and the short-circuit impedance of the external system model side from the interconnection point match the current system state Thus, the parameter estimation method for the power system contraction model is characterized by adjusting the impedance of the equivalent contract branch that is a parameter of the external system contraction model.   Approximate the relationship between the current total rated capacity of the external system using online data and the preset rated total capacity of the external system and the short-circuit impedance of the external system from the connection point. 2. The method for estimating a parameter of a contracted model of an electric power system according to claim 1, wherein the short-circuit impedance of the external system at the present time is estimated and given using a function equation.   For the above function formula that approximates the relationship between the total rated power generator capacity of the external system and the short-circuit impedance seen from the connection point to the external system side, multiple function formulas that take into account the facility shutdown of the external system are set in advance. 3. The method for estimating a parameter of a contracted model of an electric power system according to claim 2, wherein a function formula to be used is switched according to online data.   4. The method for estimating a parameter of a contracted model of an electric power system according to claim 2, wherein the current total rated capacity of the generator of the external system is obtained and used as online data of the external system. When the analysis model used to calculate the stability of the online precomputed accident prevention relay system is composed of a detailed simulated internal system model and a simplified simulated external system reduced model, the parameters of the external system reduced model are In a parameter estimation device for a reduced model of a power system that is estimated using data,
When there are multiple interconnection points of the internal system model and the external system contraction model, the interconnection current at each interconnection point and the short-circuit impedance of the external system model side from the interconnection point match the current system state As described above, a parameter estimation device for a power system contraction model, characterized in that the impedance of the equivalent contraction branch of the external system contraction model is adjusted.

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