KR20180035519A - Apparatus and method for testing power performance of generator - Google Patents

Abstract

The present invention relates to a universal system and a method for testing performance in power generation using a power generating facility modeler. The universal system for testing performance in power generation comprises: a facility modeler for modeling a target power plant by using a unit object composed of a facility object and a pipe object, and receiving a measurement value with respect to a flux and physical properties required for testing performance of each unit object from a data acquisition system of the target power plant; and a performance computation portion for implementing performance evaluation according to a performance index defined by unit object of the facility modeler.

Description

Technical Field [0001] The present invention relates to a power generation facility modeler,

The present invention relates to a general-purpose power generation performance test system and method using a power plant modeler.

The performance of a power plant is assessed comprehensively by the performance of boilers, turbines, generators and ancillary equipment. Evaluating and effectively managing the performance of a power plant is a very important factor in environments where fuel is largely dependent on imports.

The conventional power plant performance test result calculation program is a program driven in an Excel program environment based on ASME (American Society for Mechanical Engineers) code.

In order to perform the power plant performance test using this, first, the performance test result calculation program is prepared for the target power plant, and then the power plant site is visited to select the measuring instrument of the target facility, and the acquired data of a certain period And the performance test is carried out.

However, since the facility configuration and facility property values are different for each power plant, the conventional power plant performance test is performed by manually finding, creating, modifying, and adding related cells according to the configuration of the power generation facility or the property change of each facility And there is a problem that deletion must be performed.

In addition, the conventional performance test result calculation program is composed of complex and cascade cell references related to ASME code, and is constantly modified, added, and deleted by a plurality of administrators for a long time in each power plant Therefore, it took several months to modify the whole program in the performance test of the target power plant, and there was a high possibility of error in the evaluation result by human error.

SUMMARY OF THE INVENTION The present invention has been made in view of the above problems, and it is an object of the present invention to provide a universal power generation performance test system using a power plant modeler so as to easily prepare performance test by universally applying it to various power plants, And to provide a method.

According to an aspect of the present invention, there is provided a general-purpose power generation performance testing system for modeling a target power plant using a unit object composed of a plant object and a piping object, A facility modeler for receiving measured values of the flow rate and material property necessary for performance evaluation for each unit object from the facility modeler; And a performance calculator performing a performance evaluation according to a performance index defined for each unit object of the equipment modeler.

The facility modeler can calculate the missing flow and property values by analyzing the input / output characteristics of each unit object and the connection state between the unit objects with respect to the measurement values missing from the data acquisition system.

A general-purpose power generation performance test method according to another embodiment of the present invention includes: modeling a target power plant using a unit object composed of a plant object and a piping object; Setting at least one of a design value, a fuel analysis value, a measurement value, and a performance index calculation formula in the symbol table for each unit object; A measurement value for a flow rate and a property value required for performance evaluation is input to each unit object from the data acquisition system of the target power plant, and for the measurement values missing from the data acquisition system, input / output characteristics of each unit object, Analyzing the connection state among the plurality of flow paths and calculating the missing flow and property values; Generating a performance evaluation sheet using a symbol table set for each unit object of the modeled target power plant; And analyzing the performance index calculation formula among the symbol tables in the performance evaluation sheet to calculate a performance index.

The power generation facility modeler according to another embodiment of the present invention model a target power plant using a unit object made up of a plant object and a piping object and generates a necessary model for performance evaluation of each unit object from the data acquisition system of the target power plant A facility component for receiving measured values of flow rate and property value; And a flow rate equation and an energy equation are generated according to the input / output characteristics of each unit object and the connection state between the unit objects with respect to the measurement value missing from the data acquisition system, and the flow rate And a property value calculation unit for calculating the property value.

According to the present invention, the target power plant can be easily modeled through the equipment modeler.

In addition, the equipment modeler can automatically calculate the measurement values that are necessary for the performance evaluation but are not measured, so that the performance test can be performed more accurately than the performance test method by the conventional performance test result calculation program.

Further effects according to the present invention will be further described with reference to the following embodiments.

1 shows a block diagram of a general purpose power generation performance test system according to an embodiment of the present invention.
FIG. 2 is a block diagram showing a specific configuration of the equipment modeler and the performance calculator shown in FIG. 1;
3 is a flowchart of a general-purpose power generation performance test method according to an embodiment of the present invention.
4 is a flowchart illustrating a power plant modeling method according to an embodiment of the present invention.
FIG. 5 is a flowchart illustrating a method of calculating a measurement value that is missing in a facility configuration unit according to an embodiment of the present invention.
6 shows an example in which a flow number or an enthalpy number is assigned to a piping object in a modeled power plant.
7 is a flowchart of the performance evaluation generation method.
8 is a flowchart of the performance index calculation method.
FIG. 9 shows an example of performance index calculation results calculated by the performance calculation unit 300. FIG.
10 is a thermal balance diagram of the power plant output by the performance indicator output unit.
11 is an example of a screen showing calculation details by the heat loss method in the Sankey diagram format.
12 is an example of a screen showing performance curves of the measured values and the changes of the final correction values for each performance evaluation number.
Fig. 13 shows an embodiment of the efficiency index screen.

BRIEF DESCRIPTION OF THE DRAWINGS The present invention is capable of various modifications and various embodiments, and specific embodiments are illustrated in the drawings and described in detail in the detailed description. It is to be understood, however, that the invention is not to be limited to the specific embodiments, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS In the following description of the present invention, detailed description of known related arts will be omitted when it is determined that the gist of the present invention may be blurred.

The terminology used in this application is used only to describe a specific embodiment and is not intended to limit the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In the present application, the terms "comprises" or "having" and the like are used to specify that there is a feature, a number, a step, an operation, an element, a component or a combination thereof described in the specification, But do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, or combinations thereof.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. Referring to the accompanying drawings, the same or corresponding components are denoted by the same reference numerals, .

1 shows a block diagram of a general purpose power generation performance test system according to an embodiment of the present invention. FIG. 2 is a block diagram showing a specific configuration of the equipment modeler and the performance calculator shown in FIG. 1;

1, the general-purpose power generation performance test system according to the present invention may include a data acquisition unit 100, an equipment modeler 200, a performance calculation unit 300, and a performance index output unit 400 have.

First, the data acquisition unit 100 is a data acquisition system (DAS) that acquires data such as flow rate, temperature, pressure, and the like from the sensors installed in power generation facilities of the power plant.

The facility modeler 200 models a target plant using a unit object composed of a plant object and a piping object and analyzes the flow rate and property values required for performance evaluation for each unit object from the data acquisition unit of the target plant Is a device that receives the measured values for the input. The facility modeler 200 can calculate the missing flow and property values of the measurement values missing from the data acquisition unit by analyzing the input / output characteristics of each unit object and the connection state between the unit objects.

Specifically, the equipment modeler 200 includes a facility construction unit 210 and a property value calculation unit 220. The facility configuration unit 210 models the target power plant and is connected to the data acquisition unit 100 to receive measurement values. In order to calculate the missing measurement value, the property value calculation unit 220 generates a flow equation and an energy equation according to the input / output characteristics of each unit object and the connection state between unit objects, and uses the generated flow equations and energy equations Calculate the missing flow and property values.

Here, as shown in FIG. 2, the facility configuration unit 210 may include a facility information generation unit 211 and a data connection unit 212. The facility information generation unit 211 models a target power plant by arranging a unit object made up of a facility object and a piping object, and defines at least one of a design value, a fuel analysis value, a measurement value, do. The data linking unit 212 maps the symbol information of the performance index calculation formula defined in the symbol table to the channel ID of the corresponding data acquisition unit in order to receive the measurement value from the data acquisition unit 100. [

The property value calculation unit 221 may include a facility information analysis unit 221 and a property value calculation unit 222. The facility information analyzing unit 221 generates a flow rate equation and an energy equation according to the input / output characteristics of each unit object to which the measurement value input from the facility configuration unit 210 is applied and the connection state between the unit objects. The property value computing unit 222 converts the equations of the flow equation and the energy equation into a determinant, and calculates the flow rate and the property value of the missing symbol information in the measurement using the Gaussian elimination method.

Then, the performance calculator 300 performs the performance evaluation according to the performance indicators defined for each unit object of the equipment modeler 200. FIG.

Specifically, the performance calculation unit 300 includes a modeling unit 310 and a performance index calculation unit 320. The modeler linking unit 310 reads the symbol table defined for each unit object of the target power plant modeled by the equipment modeler 200, and generates a performance evaluation sheet. The performance index calculator 320 calculates the performance index by analyzing the performance index calculation formula among the symbol tables in the generated performance evaluation sheet.

Here, the modeler linking unit 310 may include a group linking unit 311 and a symbol linking unit 312. The group linking unit 311 reads a symbol table defined for each unit object of the target power plant, and generates a performance evaluation sheet for each performance evaluation group for fuel analysis, performance index, measurement, and design. The symbol coordination unit 312 generates symbols of fuel analysis, performance index, measurement, and design for each group of performance evaluation sheets.

The performance index calculator 320 may also include a symbol expression converter 321 and a formula calculator 322. [ The symbol form converter 321 analyzes symbols of each performance index in the performance evaluation sheet, and extracts reference symbol information and variables and operators of the calculation formulas. The formula calculator 322 repeatedly calculates the formula extracted by the symbol formula converter 321 sequentially as many times as the sequence is referenced to calculate the performance index calculation result.

The performance index output unit 400 outputs a performance evaluation result performed by the performance calculation unit 300. The performance index output unit 400 outputs the calculated performance index information to the performance index calculation unit 300. For example, , Reports, and the like.

According to the present invention, the target power plant is modeled by the equipment modeler 200, which is a general-purpose model editing tool of the power plant model, and the flow rate and physical property values provided from the data acquisition unit 100, Data can be input, and performance calculation and evaluation can be performed automatically.

The facility modeler 200 can be implemented by a computer equipped with a power station model general purpose editing program. The unit model general purpose editing program is predefined and set so that the generation facilities of all power plants can be applied. In addition, property values of the unit object (for example, design value, fuel analysis value, measurement value and performance index calculation formula, etc.) can be inputted and changed according to the attribute of the power generation facility of each power plant. As a result, various power plants can be modeled and used for general purposes.

For example, a facility object such as a boiler, a turbine, a water heater, or a condenser is arranged on a screen of a facility modeler by a drag and drop method using a mouse, and each facility object is connected to a pipe object, (Temperature, pressure, enthalpy, entropy, specific volume, and dryness) missing from the data acquisition unit 100 because the flow of the steam can be known according to the connection relationship, Can be calculated. The values of the flow information required for each object of the modeled power plant, which are not acquired from the data acquisition unit, can be obtained by calculating the flow equation and the energy equation. The flow equations are generated by the property and mass conservation laws of each facility object, and the properties such as enthalpy can be generated by the characteristics of each facility object and the law of energy conservation.

Once the flow and property values have been calculated, a performance index symbol is calculated among the symbols defined on the equipment modeler. The performance index symbols of each of the boiler and turbine may have a reference depth from one level to about eight levels between the symbols and the final reference value refers to numerical symbols such as design values, fuel analysis values, and measured values.

The performance index symbols are automatically calculated until there is no change in value over the performance index symbol since the final value is not calculated unless the intermediate reference value is computed. If there is no change in the symbol value, the calculation is completed because the entire calculation of the reference depth of the symbol is completed.

Accordingly, the target power plant can be easily modeled through the equipment modeler, and measurement values which are necessary for the performance evaluation but are not measured are automatically calculated through the equipment modeler, and the performance test method by the conventional performance test result calculation program A more accurate performance test can be performed.

Next, a general power generation performance test method according to the present invention will be described with reference to FIG. 3 is a flowchart of a general-purpose power generation performance test method according to an embodiment of the present invention.

As shown in FIG. 3, in the general-purpose power generation performance test method according to the present invention, first, a target power plant is modeled using a plant object and a unit object composed of a piping object using the plant modeler (S10). Also, at least one of a design value, a fuel analysis value, a measurement value, and a performance index calculation formula is set for each unit object in the symbol table using the equipment modeler (S20). Then, the facility modeler receives the measured values of the flow rate and the property value required for the performance evaluation for each unit object from the data acquisition system of the target power plant, and calculates the input and output characteristics And the connection state between the unit objects is analyzed to calculate the missing flow quantity and the property value (S30). Next, a performance evaluation sheet is generated using the symbol table set for each unit object of the target power plant modeled by the performance calculator (S40). Then, the performance calculation unit analyzes the performance index formula among the symbol tables in the performance evaluation sheet, and calculates a performance index (S50). Accordingly, the performance indicator information calculated through the performance indicator output unit can be output in various forms such as a chart and a report.

Next, the process of modeling the power generation facility through the equipment modeler according to the present invention will be described with reference to FIG. 4 is a flowchart illustrating a power plant modeling method according to an embodiment of the present invention.

4, the power generation equipment modeling method includes the steps of: first, using the facility information generation unit 211 of the equipment modeler 100, to perform a modeling of a target power plant such as a boiler, a turbine, a condenser, a pump, The facility objects for the power generation facility are arranged on the screen (S211). For example, it is possible to provide information of all the unit objects on the screen, and the user can arrange the unit objects in a drag-and-drop manner with the mouse. Next, the user connects the piping objects among the facility objects using the facility information generating unit to model the target power generation facilities (S212).

Subsequently, a symbol table is created and registered in order to input an attribute value for each unit object using the data linker 212 of the equipment modeler 100 (S213). When registering a symbol table, you need to register a group such as a design value, a fuel analysis value (eg Gas, Coal), a measurement value, a performance index calculation formula (eg calculation of heat loss method, calculation of input / output method, calculation of boiler heat absorption rate) Tabs are registered separately. This is for compatibility with existing performance evaluation programs. This allows you to associate symbolic expressions and values in a format similar to existing Excel sheets.

Then, a performance test formula based on a performance test standard (for example, PTC (Power Test Code) issued by ASME) is set for performance index calculation symbols among the symbols per group (S214). At this time, it may be set directly by the user, or, if there is a reference model of another power plant already made, the formula of this reference model may be called up and set. Then, the design and fuel analysis symbol values are set (S215). The design value symbol and the fuel analysis value symbol can be read by applying the separately provided design and analysis file and can be set through reference model or user direct input such as performance indicator symbol.

Next, mapping is performed with the channel ID of the data acquisition unit so as to acquire corresponding measurement values of the measurement symbols in the generated symbol table (S216). At this time, the channel ID can be selected from the ID list read from the data acquisition unit. When the mapping for all the measurement symbols is completed (S217), the generation of the equipment model of the target power plant is completed.

Even after the measurement symbol and channel ID mapping operation is performed in the equipment configuration unit 210 of the equipment modeler 200, metrology symbols that are not acquired in accordance with various conditions are generated. The measurement symbol for which no data is acquired is a value corresponding to the flow rate and the property value. Accordingly, a procedure for obtaining a measurement value that is not acquired is required.

Next, a method of obtaining a measurement value that is not acquired through the facility configuration unit will be described with reference to Figs. 5 and 6. Fig. FIG. 5 is a flowchart illustrating a method of calculating a measurement value that is missing in a facility configuration unit according to an embodiment of the present invention. 6 shows an example in which a flow number or an enthalpy number is assigned to a piping object in a modeled power plant.

As shown in FIG. 5, in the method of calculating the missing measurement value, a flow number and an enthalpy number are assigned to each pipe object created in the facility construction unit 210 (S221). As an example, the piping objects are numbered as shown in FIG.

Then, the flow equation is defined by the number assigned to the pipe object in consideration of input / output characteristics for each facility object (S222).

For example, in FIG. 6, an example of generating a flow equation of a pipe object to which a flow number 16 is assigned is described in consideration of input / output characteristics of a plant object of LP TBN (low pressure turbine).

The input / output characteristics of the LP TBN (low pressure turbine) of FIG. 6 can be represented as shown in Table 1.

Facility object sign Port ID Explanation LP TBN
(Low pressure turbine)

I Standard Inlet
O Standard Outlet
E Extraction

That is, the input / output characteristic of LP TBN is Standard Outlet = Standard Inlet + Extraction. Accordingly, the flow equation of the pipe object of the flow number 16 can be generated by M16 = M12 + M17.

6, an example in which a flow equation of a pipe object to which a flow number 8 is assigned is generated in consideration of input / output characteristics of a facility object of a mixer (mixer).

The input / output characteristics of the mixer (mixer) of FIG. 6 can be expressed as shown in Table 2.

Facility object sign Port ID Explanation MIXER
(mixer)

IA * Primary Inlet
IB * Secondary Inlet
O Mixed Outlet

That is, the input / output characteristics of the mixer (mixer) are Mixed Outlet = Primary Inlet + Secondary Inlet. Accordingly, the flow equation of the pipe object of the flow number 8 can be generated as M8 = M5 + M7.

Then, it is determined whether the number of equations is greater than the unknown number in the entire facility object flow rate equation (S223). If the unknown number is large, it is difficult to calculate the result, so the design value or the input value is reflected (S224).

If the number of equations is large, the flow equation is reconfigured as a matrix by the property value computation unit (S225). Matrix operations can use the Gaussian elimination method, which is an easy to implement program. Then, the flow equation is calculated according to the flow equation matrix calculation execution procedure (S226).

For example, assuming that you know the flow values for flow numbers 3, 4, 5, and 8, the flow equation equation can be expressed as:

In this case, row inversion and pivot operation are performed so that all of the lower triangular matrix and the lower triangular matrix become zero. Pivot means a diagonal element that is the basis of erasure. The row inversion is that when the diagonal element of the target row is 0, the element of the same column as the diagonal element is replaced with another row other than 0.

Since there is a non-zero value in the lower triangular matrix below the diagonal element even after the inversion, the pivot operation is performed to cancel the non-zero value. In equation (2) below, m _il i is the column line l multiplier, a line l i _il is the column element, c _i denotes a constant of the i-th row.

In the above equation, a multiplier of one column, mil, is obtained by using the all element, the pivot element, and the l column element of each of the remaining columns. Subtracting this multiplier multiplied by each column of l column in each column of i row results in a new element value of i row. If calculations are performed in the same way from columns 2 to n, the elements at the bottom of the diagonal elements are all cleared to zero as shown in Equation 3. [

After the completion of the pivot calculation, if there is a part of the diagonal elements that does not have a value, it is difficult to calculate the result. Therefore, the flow value can be modified by assigning the design value or by further inputting the diagonal element by the user. Next, the value of each element, that is, the flow rate symbol, is obtained by using the backward substitution method. The backward substitution method first obtains the flow parameter value through the flow equation of the last row, substitutes this value directly into the upper row, and obtains the flow parameter value of the row. This can be done repeatedly to obtain the total flow rate variable.

Then, an energy equation is generated by using the flow parameter (M), the enthalpy variable (E), the one variable (W), and the calorie variable (Q) in consideration of input / output characteristics for each facility object (S227).

For example, in FIG. 6, an example of generating an energy equation by a number assigned to a piping object will be described in consideration of input / output characteristics of a plant object.

The input / output characteristics of the cop (pump) of FIG. 6 can be expressed as shown in Table 3.

Facility object sign Port ID Explanation cop
(Pump)

I Standard Inlet O Standard Outlet

Mass Inlet × Enthalpy Inlet + W = Mass Outlet × Enthalpy Outlet energy equation according to the input / output characteristics of the pump. Accordingly, in Numbers 1 and 2 of the piping object of FIG. 6, the energy equation can be represented by M1xE1 + W1 = M2xE2.

Alternatively, the boiler (BLR) has an energy equation of Mass Inlet × Enthalpy Inlet + Q = Mass Outlet × Enthalpy Outlet, depending on the input / output characteristics. Accordingly, in the plumbing object numbers 8 and 9 of FIG. 6, the energy equation can be expressed as M8xE8xQ8 = M9xE9.

Alternatively, the medium pressure turbine (IP TBN) has an energy equation of Mass Inlet × Enthalpy Inlet = Mass Outlet × Enthalpy × Enthalpy Extraction, depending on the input / output characteristics. Accordingly, in the piping object numbers 11 and 16 of FIG. 6, the energy equation can be represented by M11xE11 = M16xE16 + W11.

Subsequently, the flow parameter values obtained from the calculation of the flow equation are substituted into the energy equation to eliminate the flow parameter (S228). Subsequently, it is determined whether the number of energy equations is greater than an unknown number (S229). If the unknown number is large, a design value and an input value are inputted (S230).

If the number of the energy equations is larger than the unknown value, the enthalpy variable E, the one variable W, and the calorie variable Q are calculated in the same manner as in step S225 (S231). Thus, the property value calculation is completed.

The facility configuration unit 210 has previously described that symbols can be registered for each group in order to provide compatibility with the Excel method of existing performance evaluation programs. Now, the process of generating the performance evaluation sheet in the modeler linking unit 310 of the performance calculation unit 300 will be described with reference to FIG. 7 is a flowchart of a method of generating a performance evaluation sheet.

As shown in FIG. 7, first, by using the group linking unit 311 of the modeler linking unit 310, symbol groups are sequentially arranged for each unit object in the Excel-type symbol table generated by the facility construction unit 210 (S310). It is determined whether a group necessary for performance evaluation exists (S311). If the group does not exist, the corresponding group is generated (S312).

Then, if all necessary groups are present, the symbol interfacing unit 312 searches for the presence of the fuel analysis symbol, the performance indicator symbol, the measurement symbol, the design symbol, etc. belonging to the group (S313). It is determined whether a symbol exists (S314). If the symbol does not exist, a necessary symbol can be generated (S315). If the symbol exists, the symbol value of the symbol table for each group is set (S316).

Then, it is determined whether the update of the symbol table for each group is completed (S317). If the update is not completed, the process is repeated from step S313. Subsequently, it is determined whether the symbol table creation of all groups is completed (S318). If not completed, the process is repeated from step S310. If completed, the generation of the performance evaluation sheet is completed and the association with the equipment modeler is completed. Here, the difference from the excel sheet of the existing performance evaluation program is as follows. First, the present invention is such that an Excel-style performance evaluation sheet is automatically generated from the power generation equipment modeled by the design modeler. Second, It is possible that the formula can be entered.

Next, a performance index calculation process performed by the performance index calculation unit 320 will be described with reference to FIG. 8 is a flowchart of the performance index calculation method.

First, the symbol type converter of the performance index calculation unit 320 reads the performance evaluation sheet of the Excel format generated by the modeler linking unit 310 (S320). Subsequently, the calculation symbol is read from the performance index symbol (S321), and the linked reference symbol list is extracted (S322). The formula of the performance index symbol contains a number of reference symbols, and each reference symbol has a chain reference structure at the bottom. Accordingly, first, a list of reference symbols included in the equation of the performance index symbol is extracted and an array is generated. For example, if the performance index symbol for the total heat input to the turbine (unit: Mcal / h) is Qin, the equation containing the reference symbol is defined as "QMS + QHRS & , The Main Steam Heat Quantity (QMS) and the Reheat Steam Heat Quantity (QHRS) are reference symbols.

Subsequently, a reference symbol value is extracted (S323). Here, since all the symbols have unique symbol names, it is possible to trace necessary reference symbols among the symbols loaded in the memory. If the traced reference symbol is a symbol with a numerical value, such as a measurement symbol, a design symbol, or some fuel analysis symbol, the value is returned; otherwise, 0 is returned if it is composed of another reference symbol. Subsequently, it is determined whether or not the extraction of the reference symbol value is completed (S324), and the step S323 is repeated until extraction is completed.

Subsequently, an operator (for example, +, -, ^ or the like) included in the symbol or an operation expression extraction (S325) is repeated until the extraction is completed (S326). There can be an external operation expression in addition to a general operation expression (for example, sum, sub, etc.) in the operation expression. The external expression expresses an external library expression such as pmt util or Winsteam which is required for thermal efficiency calculation.

Subsequently, symbol calculation is performed using the formula calculator 322 of the performance index calculation unit 320 (S327), and it is determined whether the entire symbol calculation is completed (S328). If the calculation is not completed, the process is repeated from the step S321 . If you calculate the expression created by substituting the value obtained from the reference symbol into the extracted operator (expression), you can perform the expression calculation according to the predefined operator (expression) rule. In this way we perform calculations on all the symbols in memory.

In step S328, if the calculation of the entire symbol is completed, the previous calculation is compared with the calculation result in step S329, and it is determined whether the calculated symbol value has changed in step S330. Repeat from S321. If there is no change, the performance index calculation is terminated. Here, since the reference depth of the symbol is about 1 to 8 levels, it is impossible to obtain the final value by performing the process of step 323 once, so iterative calculation is required by the depth of the reference symbol. However, the depths of the symbols loaded into the memory are all different.

Here, it is possible to calculate each symbol recursively, but a recursive call is inefficient because the reference symbol can be duplicated between symbols and the search time is long. Thus, for example, in the index calculation method of the present invention, as in the following 1) to 3), the calculation can be gradually completed to the highest level symbol in the course of the iterative calculation.

1) Symbol calculation is performed sequentially starting from the first symbol.

2) After the calculation is completed up to the last symbol, the calculation result is stored, and then the calculation is performed sequentially by going to the first symbol.

3) At this time, calculation is performed while checking whether there is a symbol whose calculation value (formula) is different from the previous calculation result. Here, symbols that are not changed any more since values are calculated during symbol calculation are excluded from the calculation. It is necessary to perform repetition as many times as the symbol maximum level (for example, if the highest level is 8 levels, iteration is repeated 8 times).

Here, the above iterative calculation method is effective even when the predicted value and the actual value must converge, such as the specific heat calculation, the turbine flow rate calculation, and the ELEP (low pressure turbine end enthalpy) calculation. This is because the value of the cross-referenced predicted symbol and the actual symbol continues to change until the convergence is completed.

Through this process, the performance index of the modeled power plant can be calculated.

FIG. 9 shows an example of performance index calculation results calculated by the performance calculation unit 300. FIG.

For example, when the performance index of the power plant is calculated, the thermal balance of the modeled power generation facility can be provided and output as shown in FIG. 10. 10 is a thermal balance diagram of the power plant output by the performance indicator output unit.

In addition, as shown in FIG. 11, it is possible to easily provide calculation details by the heat loss method when calculating the boiler efficiency, or to monitor the change of the measured values and the final correction values for each performance evaluation period through a performance curve as shown in FIG. . Then, as shown in FIG. 13, the main efficiency index for each facility of the power plant can be monitored.

As described above, in the present invention, a performance evaluation program that has been separately managed for each power plant has been integrated into one system. Accordingly, various plant models can be modeled through the equipment modeler 200, and accurate calculation of performance can be performed by calculating the missing sensor data automatically based on the model data.

In addition, by linking with the data acquisition unit on-line, it is possible to perform quick performance calculation compared to the existing Excel-based performance evaluation program, and to perform program modification work as a preliminary task of performance evaluation quickly and conveniently. In addition, the cascade reference symbols in a symbol can be automatically tracked and displayed in a stepwise manner, making it easy to change a symbol expression. Also, since the power plant performance evaluation data is integrated, it is possible to systematically manage and utilize the performance evaluation history.

In addition, the present invention can be used as an important data for evaluating whether or not a contract is satisfied when a new power plant is constructed and used for confirming the contract for the acquisition of the power plant. The output and efficiency information of the power plant for power trading can be transmitted to the power exchange, And can be utilized as data for domestic 42 trillion electricity trading. It can also provide important information to plan maintenance and replacement of the facility by evaluating the performance and efficiency of the plant periodically as the operation period of the plant elapses.

In addition, the present invention can be applied to the performance test and diagnosis of a power plant 70 in a domestic power plant and a combined-cycle power plant 50 in a domestic power plant. Of the total 100 performance tests conducted annually, acceptance test is 25%, performance diagnostic test is 45%, and cost evaluation test is 30%. In Korea, Korea Electric Power Research Institute (KEPCO) has a market share of 70%, and a total of 45,000 performance test markets have been formed outside Korea in 12 major countries (USA, China, Japan, Russia and others) . Accordingly, in the performance evaluation market of such a large scale, the technical competitiveness according to the present invention can be improved and profitability can be improved.

In addition, it analyzes the reference relationship of the symbols used for the performance evaluation and facilitates the version management and operation of the ASME code. Therefore, it is possible to improve the accuracy of the result through code verification and improve the reliability and fairness of the power trading market have.

Finally, we can improve the on-site customer satisfaction by providing the UX that can easily calculate the data acquired from the site online, calculate the result, and analyze the performance through facilities chart, graph, and chart.

The foregoing description is merely illustrative of the technical idea of the present invention, and various changes and modifications may be made by those skilled in the art without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are intended to illustrate rather than limit the scope of the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. The scope of protection of the present invention should be construed according to the following claims, and all technical ideas within the scope of equivalents should be construed as falling within the scope of the present invention.

100: Data acquisition unit 200: Equipment modeler
210: facility configuration unit 211: facility information generation unit
212: data linkage unit 220: property value calculation unit
221: facility information analyzing unit 222: physical property value calculating unit
300: performance calculation unit 310: modeler linkage unit
311: Group linking unit 312: Symbol linking unit
320: Performance index calculator 321: Symbol formula converter
322: Formula Calculator

Claims (10)

A facility modeler for modeling a target power plant using a unit object made up of a plant object and a piping object and inputting measurement values for a flow amount and a property value required for performance evaluation for each unit object from the data acquisition system of the target power plant; And
A performance calculator performing a performance evaluation according to a performance index defined for each unit object of the equipment modeler;
A general-purpose power generation performance test system. The method according to claim 1,
The facility modeler analyzes the input / output characteristics of each unit object and the connection state between the unit objects with respect to the measurement values missing from the data acquisition system to calculate the missing flow and property values. 3. The method of claim 2,
In the equipment modeler,
A facility construction unit for modeling the target power plant and connected to the data acquisition system to receive measurement values,
In order to calculate the missing measurement values, a flow equation and an energy equation are generated according to the input / output characteristics of each unit object and the connection state between unit objects, and the flow rate and the property value are calculated using the generated flow equation and energy equation And a physical property value calculation section for calculating the physical property value. The method of claim 3,
The facility configuration unit,
A facility information generation unit for modeling a target power plant by disposing a unit object made up of the facility object and a piping object and defining at least one of a design value, a fuel analysis value, a measurement value, and a performance index calculation formula for each unit object in a symbol table;
And a data linking unit for mapping the symbol information of the performance index calculation formula defined in the symbol table to the corresponding channel ID of the data acquisition system to receive the measurement value from the data acquisition system. The method of claim 3,
Wherein the property value calculation unit
A facility information analyzer for generating a flow equation and an energy equation according to the input / output characteristics of each unit object to which the measurement value input from the facility configuration unit is applied and the connection state between the unit objects;
And a physical property value calculation unit that converts the equations of the flow equation and the energy equation into a determinant and calculates a flow amount and a property value of the missing symbol information in the measurement using the Gauss elimination method. The method according to claim 1,
The performance calculator calculates,
A modeler linking unit that reads a symbol table defined for each unit object of a target power plant modeled by the equipment modeler and generates a performance evaluation sheet,
And a performance index calculator for calculating a performance index by analyzing a performance index calculation formula among the symbol tables in the performance evaluation sheet. The method according to claim 6,
The modeler-
A group linking unit that reads a symbol table defined for each unit object of the target power plant and generates a performance evaluation sheet for each performance evaluation group for fuel analysis, performance index, measurement, and design,
And a symbol linking unit for generating symbols of fuel analysis, performance index, measurement and design for each group of performance evaluation sheets. The method according to claim 6,
Wherein the performance index calculator comprises:
A symbol equation converter for analyzing symbols of each performance index in the performance evaluation sheet and extracting reference symbol information and variables and operators of calculation formulas,
And a mathematical expression calculator for calculating the performance index calculation result by sequentially and repeatedly calculating the mathematical expressions extracted by the symbol mathematical expression converter as much as they are cascade-referenced. Modeling a target power plant using a unit object composed of a facility object and a piping object;
Setting at least one of a design value, a fuel analysis value, a measurement value, and a performance index calculation formula in the symbol table for each unit object;
A measurement value for a flow rate and a property value required for performance evaluation is input to each unit object from the data acquisition system of the target power plant, and for the measurement values missing from the data acquisition system, input / output characteristics of each unit object, Analyzing the connection state among the plurality of flow paths and calculating the missing flow and property values;
Generating a performance evaluation sheet using a symbol table set for each unit object of the modeled target power plant; And
Calculating a performance index by analyzing a performance index calculation formula among the symbol tables in the performance evaluation sheet;
Wherein said method comprises the steps of: A facility constructing unit for modeling a target power plant using a unit object made up of a facility object and a piping object and receiving measurement values for a flow amount and a property value required for performance evaluation for each unit object from the data acquisition system of the target power plant; And
The flow equations and the energy equations are generated according to the input / output characteristics of each unit object and the connection state between the unit objects, and the flow rate and flow rate are calculated using the generated flow equations and energy equations. And a property value calculation section for calculating a property value.

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