KR20210026445A - Apparatus for estimating constraint cost based on causes and evaluation system for appropriate constraint - Google Patents

Abstract

The present invention provides a system for analyzing and estimating constraint costs for each cause of constraints and analyzing a history and an error with respect to calculation of an appropriate constraint quantity and operation of constraints during operation of electricity dispatch to reduce the constraint costs. A constraint appropriateness evaluating system according to an embodiment of the present invention comprises: a constraint error analysis device receiving constraint information from an external server to generate a power generator-constraint quantity list for a constraint plan based on the constraint information wherein power generation cost information for each power generator is included in the list, receiving security constrained economic dispatch (SCED) data and power generator matching information from the external server to generate a power generator-constraint quantity list for constraint result based on the SCED data and the power generator matching information, and determining whether the power generator is identical, whether a power generator with power generation costs lower than planned exists, and whether the constraint quantity is identical on the basis of the power generator-constraint quantity list for the constraint plan and the power generator-constraint quantity list for the constraint result to generate a constraint error list; a constraint cost estimating device receiving a planned power generation quantity, a power generation result amount and resultant settlement money, wherein the power generation result amount includes at least one among demand information, backup power information, northward current information and heat constraint information, calculating settlement money for each element caused by at least one among the demand information, the backup power information, the northward current information and the heat constraint information based on the planned power generation quantity, the power generation result amount and the resultant settlement money, and storing the settlement money for each element; and a user error informing device receiving a constraint error list from the constraint cost estimating device and receiving the settlement money for each element from the constraint cost estimating device.

Description

Pharmaceutical cost calculation device and constraint adequacy evaluation system for each cause of constraint {APPARATUS FOR ESTIMATING CONSTRAINT COST BASED ON CAUSES AND EVALUATION SYSTEM FOR APPROPRIATE CONSTRAINT}

The present invention relates to a method of analyzing an error in constraint operation and calculating a constraint cost for each factor in calculating an appropriate constraint amount and power supply operation.

Currently, the electricity market is a variable cost-based pool (CBP) in which the market wholesale price is determined by the system marginal price (SMP) based on the variable cost of the generator that was last input according to the demand for each hour a day ago.

Conventionally, when determining the market wholesale price a day before, there is a problem in that the power generation plan and the wholesale market price are determined without reflecting various restrictions (transmission restrictions, generator self restrictions, reserve power restrictions, etc.). On the contrary, when supplying power by reflecting the restrictions according to the constraints and supply and demand conditions that occur during actual power supply, costs are incurred due to the difference between the price-determined power generation plan and the actual operation result, and this cost is called the constraint cost. The pharmaceutical cost is 5.9 trillion won out of the 52 trillion won that KEPCO spends in purchasing electricity as of 2018, and it has a problem that it occupies a very large proportion, accounting for about 10%. In other words, as a result of the constraints not reasonably reflected in determining the market wholesale price, enormous pharmaceutical costs are incurred afterwards.

On the other hand, constraints arise according to circumstances such as the recent continuous increase in new and renewable energy, errors in demand forecasting, stopping nuclear power plants, and securing reserves. Due to the volatility caused by the increase in new and renewable energy, there are restrictions related to securing reserves, and the operation of the southern LNG generators due to the increase in nuclear power plant shutdowns has resulted in continuous restrictions such as transmission restrictions (southern algae). It is also increasing.

However, due to the lack of a method and system for analyzing or reviewing the difference in the output of the generator during the conventional calculation of the appropriate system constraints and the actual system operation, the constraints according to the actual constraints were appropriately calculated and planned, or the calculated and planned constraints. There was a problem in which it was impossible to judge the adequacy of whether it was properly operated. Therefore, there is a need for a method and system to analyze the history and error of the constraint operation when calculating the appropriate amount of constraints and power supply operation.

In addition, there is no detailed method or system for analyzing or estimating pharmaceutical costs by incurred factor/cause. As an entity that manages electricity and electricity costs, it is necessary to derive improvement points by analyzing and estimating constraint costs for each cause for reduction of pharmaceutical costs, market efficiency, and system stability, and analyzing whether or not there is an increase in costs.

An object of the present invention is to provide a system capable of reducing pharmaceutical costs by analyzing and estimating constraint costs for each constraint cause, and by analyzing the history and errors of constraint operations during calculation of appropriate constraint amounts and power supply operations.

The constraint adequacy evaluation system according to an embodiment of the present invention receives constraint information from an external server and generates a constraint plan generator-a list of constraints-the list includes information on generation cost for each generator-based on the constraint information, Receives SCED (Stability Constrained Economic Power Supply) data and generator matching information from an external server, and generates a pharmaceutical performance generator-constrained quantity list based on SCED data and generator matching information, and a pharmaceutical plan generator-constrained quantity list and a pharmaceutical performance generator -A constraint error analysis device configured to generate a constraint error list by determining at least one of whether a generator is the same, a generator having a lower generation cost than a plan, and whether a constraint is the same based on the constraint list; Power generation plan amount and power generation amount from an external server-The power generation amount includes at least one of demand information, reserve power information, North Korean tide information, and thermal constraint information-and receives the performance settlement amount, and the power generation plan amount, power generation amount and performance A pharmaceutical cost estimating device, configured to calculate a settlement amount for each factor due to at least one of demand information, reserve power information, north tide information, and thermal constraint information based on the settlement amount, and store the settlement amount for each factor; And a user error notification device configured to receive a constraint error list from the constraint error analysis device and receive a settlement fee for each factor from the constraint cost estimation device.

The constraint error analysis apparatus according to an embodiment of the present invention receives constraint information from an external server, and generates a constraint plan generator-a list of constraints-the list includes information on generation cost for each generator-based on the constraint information. Constrained planning amount output unit; A limited amount output unit configured to receive SCED (stability-constrained economic power supply) data and generator matching information from an external server, and to generate a limited amount generator-constrained amount list based on the SCED data and the generator matching information; And a restriction error analysis unit, wherein the restriction error analysis unit is based on the restriction plan generator-constrained quantity list and the pharmaceutical performance generator-constrained quantity list, whether the generator is the same, whether or not there is a generator with less power generation cost than the plan, and the restriction quantity is the same. It may be configured to determine at least one of whether or not to generate a constraint error list.

A method for generating a list of constraint errors between a constraint plan and a constraint performance by the constraint error analysis apparatus according to an embodiment of the present invention includes: receiving a constraint plan generator-a constraint list-the list includes information on generation cost for each generator- ; Receiving a constraint performance generator-a list of constraints; Determining whether the generator is the same between the constraint plan and the constraint performance; If the generators are the same, determining whether there is a generator having a lower power generation cost than the plan; If it does not exist, determining whether the constraint amount between the constraint plan and the constraint performance is the same; If the constraint amount is the same, storing a constraint plan generator-constrained quantity list and a constraint performance generator-constrained quantity list; And generating a list of constraint errors when the generators are not the same, a generator having a lower generation cost than the plan exists, or the constraint amount is not the same.

The apparatus for estimating constraint cost for each cause of constraints according to an embodiment of the present invention includes at least one of demand information, reserve power information, north current information, and thermal constraint information from an external server. Including-and a communication unit configured to receive the performance payment; A processing unit configured to calculate a settlement amount for each factor due to at least one of demand information, reserve power information, North Korean tide information, and heat constraint information based on the planned amount of power generation, the amount of power generation, and the amount of performance settled; And a storage unit configured to store the settlement amount for each factor.

According to another embodiment of the present invention, the pharmaceutical cost estimation apparatus for each cause of pharmaceutical costs is a non-constrained settlement from an external server, a pharmaceutical reflected settlement-The pharmaceutical reflected settlement is a temporary suspension reflected settlement, a reserve reflected settlement, a demand forecast reflected settlement, and thermal constraints. A communication unit configured to receive at least one of the reflected settlement amount and the transmission restriction reflected settlement amount-and the total settlement amount; Calculate the error of the non-constrained settlement amount and the restriction reflected settlement amount for each restriction, calculate the sum of the errors, calculate the actual drug cost, which is the difference between the total settlement amount and the non-constrained settlement amount, A processing unit configured to generate scaling information by dividing a value obtained by multiplying by the actual drug cost by the sum of errors; And a storage unit configured to store scaling information.

According to an embodiment of the present invention, for reduction of pharmaceutical costs, market efficiency, and system stability, improvement points can be derived by analyzing and estimating pharmaceutical costs for each cause of occurrence, and analyzing whether or not there is an increase in costs.

In addition, according to an embodiment of the present invention, it is possible to provide a method and a system for calculating an appropriate amount of constraints and calculating an appropriate power generation list for each constraint capable of analyzing the history and error of constraint operation during power supply operation and minimizing costs. have.

Through this, there is an effect of solving the problem of incurring large pharmaceutical costs by not reflecting the constraints reasonably when determining the market wholesale price. Specifically, it is possible to ultimately reduce pharmaceutical costs by judging whether there is an abnormality in the operation of the market operator, and by charging costs and revising rules when an abnormality is diagnosed. Based on the determination of the adequacy of the generator for actual constraints through error verification, when the power generation cost is reduced by 0.97 won/kWh during the time period (when the Youngnam Power 1CC is changed to 102.54 won/kWh to 101.57 won/kWh for the GS Dangjin Complex 4CC), it is about 55 per year. It can be expected to reduce the cost of purchasing electricity by KRW 100 million.

1 is an integrated conceptual diagram of a constraint adequacy evaluation system and MTAS (Power Market Comprehensive Analysis System) according to an embodiment of the present invention.
2 is a diagram showing the configuration of a constraint adequacy evaluation system according to an embodiment of the present invention.
3 is a view showing the configuration of a constraint error analysis apparatus according to an embodiment of the present invention.
4 is a diagram illustrating a method of generating a list of constraint errors between a constraint plan and a constraint performance by the constraint error analysis apparatus according to an embodiment of the present invention.
5 is a view showing the flow of information in the settlement amount comparison unit according to an embodiment of the present invention.
6 is a diagram showing a state in which a history management unit manages a history according to an embodiment of the present invention.
7 is a diagram showing a method of managing a history by a history management unit according to an embodiment of the present invention.

In order to clearly describe the present invention, parts irrelevant to the description have been omitted, and the same reference numerals are attached to the same or similar components throughout the specification.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art may easily implement the present invention. However, the present invention may be implemented in various different forms and is not limited to the embodiments described herein.

Hereinafter, the term “restriction” refers to an element that may be a restriction in power generation and dispatch, and may include, for example, a reserve power restriction, an emergency stop restriction, a transmission restriction, a heat restriction, a demand error, and the like.

1 is a conceptual diagram of an integrated pharmaceutical adequacy evaluation system and MTAS according to an embodiment of the present invention.

In the past, MTAS 120 (Comprehensive Power Market Analysis System) has been established to perform long-term predictive analysis and short-term precise analysis such as SMP or settlement when power market issues occur or power policy changes.

MTAS includes the construction of an integrated power market database (MTAS-DB) by linking the operating performance and published forecast data from the power market operation system in real time and analyzing the long-E short-term market.

Market analysis programs, i.e. long-term MTAS-FA, short-term MTAS-DA and MTAS-RSC, receive data from MTAS-DB and perform long-term predictive analysis (long-term MTAS-FA) or short-term precise analysis (short-term MTAS-DA), respectively. , A power generation plan (MTAS-RSC) can be established to minimize power generation costs. The MTAS-SMP can generate the power market system limit price (SMP) and settlement fees using the result of the established power generation plan (MTAS-RSC).

However, the conventional MTAS lacked a method and system for determining and evaluating the appropriateness of the constraints, such as an error analysis between price determination and actual operation, a cost detection method for each cause of occurrence, and adequacy of constraint operation.

Therefore, as a system that can reduce the pharmaceutical cost by analyzing and estimating the pharmaceutical cost for each constraint cause, and analyzing the history and error of the pharmaceutical operation during the calculation of the appropriate constraint amount and power supply operation, the pharmaceutical adequacy evaluation system 110 will be configured. I can. As shown in the figure, the constraint adequacy evaluation system may be configured separately from the MTAS 120, or may be integrated and interlocked with one configuration of the MTAS 120. In the drawing, the MTAS-DB and MTAS-RSC and information are shown to be transmitted/received, but the configuration of the MTAS 120 that can be transmitted/received by the constraint adequacy evaluation system 110 is not limited thereto.

2 is a diagram showing the configuration of a constraint adequacy evaluation system according to an embodiment of the present invention.

According to an embodiment, the constraint adequacy evaluation system 110 according to an embodiment includes an automatic data acquisition device 210, a constraint error analysis device 220, a constraint cost estimation device 230, and a user error notification device 240. Can include.

The automatic data acquisition device 210 receives and manages constraint information, generator self-constraint and characteristic information, power generation plan amount, power generation performance amount, stability constraint economic dispatch performance, etc. from an external server, for example, MTAS 120, It may be configured to be provided in a different configuration of the constraint adequacy evaluation system 110.

The constraint error analysis device 220 may be configured to generate, analyze, and verify a list including generators, outputs, constraints, etc. for constraint plans and performance. More specifically, by extracting the operational development plan information, the constraint plan generator and the constraint amount data list is calculated, the stability constraint economic dispatch performance information is extracted to calculate the constraint performance generator and the constraint amount data list, and the generator between the plan and the performance. It can be configured to perform error analysis and history management such as output difference, calculate whether or not to increase or decrease the settlement amount for the error, and perform deep learning-based power generation cost optimal power generation constraint extraction / comparison and analysis of existing settlement amount. In FIG. 2, the constraint error analysis device 220 is shown to receive information on power generation through the automatic data acquisition device 210, but is configured to receive information directly from the MTAS without passing through the automatic data acquisition device 210. I can.

Through this configuration, it is possible to determine whether there is an abnormality in the system operation and determine whether the settlement amount is increased or decreased by analyzing the error of the constraints in actual operation, and it is used for determining the existence of an abnormality in the operation of the market operator and charging the settlement amount when the settlement amount increases. This has a possible effect.

The constraint cost estimating device 230 may provide a configuration capable of classifying the constraint cost by cause/pattern by tracking the constraint cost in reverse based on the actual power generation data. In more detail, after defining the factors incurring pharmaceutical costs in advance, calculating the pharmaceutical cost using the amount of pharmaceutical power generated by each incurred factor, setting the priority for each constraint, and calculating the pharmaceutical cost in consideration of the priority, and the average cost for each constraint. It is possible to calculate the pharmaceutical cost by the method of scaling with the total pharmaceutical cost, calculate the constraint cost for the use of pharmaceutical power generation and pharmaceutical power generation for each generator, analyze the constraint cost for each power source, and verify the appropriateness of the cost for each of the above four constraints. In FIG. 2, the constraint cost estimating device 230 is shown to receive information on power generation through the automatic data acquisition device 210, but is configured to receive information directly from the MTAS without passing through the automatic data acquisition device 210. I can.

The user error notification device 240 is configured to receive information such as processing status, input data abnormality check, and various error messages from the constraint error analysis device 220 and the constraint cost estimation device 230 and automatically notify the user. I can.

Through this configuration, the pharmaceutical adequacy evaluation system 110 can provide a basis for preparing a policy that can minimize pharmaceutical costs by analyzing and managing pharmaceutical costs by dividing them by incurred factors.

3 is a view showing the configuration of a constraint error analysis apparatus according to an embodiment of the present invention.

The constraint error analysis device 220 according to an embodiment includes a constraint plan amount output unit 310, a constraint performance amount output unit 320, a constraint error analysis unit 330, a settlement amount comparison unit 340, and a history management unit 350. ) Can be included. The constraint error analysis device 220 analyzes the difference between the plan of the corresponding generator and the actual generator output by collecting the constraint information planned in the operation development plan from the data automatic acquisition device 210 and the stability constraint economic dispatch performance data of the actual day. The error is managed, and the settlement fee for the plan and performance can be calculated and compared. In addition, when an error occurs, it may be configured to transmit the result to the user error notification device 240.

According to an embodiment, the restriction plan amount output unit 310 may extract restriction information applied in the operation development plan from an external server such as MTAS, and extract the power generation amount restriction and start restriction for each generator group. Based on this data, it can be configured to generate a constraint plan generator-constrained quantity list by calculating the generator and the restriction quantity reflecting the restriction. The generator-constrained quantity list of the constraint plan may include information on the generation cost of each generator.

According to an embodiment, the pharmaceutical performance output unit 320 extracts the actual day's SCED (stability constraint economic dispatch) data and generator matching information, and uses them to calculate the pharmaceutical performance generator and the constraint amount for the day to be restricted. It may be configured to generate a performance generator-constraints list. Since the code for each generator may be different from the power generation plan, the SCED can analyze the capacity data of the generator and match it with the generator code judged to be the most suitable.

According to an embodiment, the constraint error analysis unit 330 compares the contents of the generator-constrained amount list of the results and the plan calculated by the constraint plan amount output unit 310 and the constraint amount output unit 320 to compare the actual plan. It can be configured to analyze the error as to whether it is output correctly. In addition, it may be configured to determine whether an appropriate generator has been selected or an appropriate amount of power generation has been selected based on the principle of cost minimization based on the start-up priority of the constrained generator. Further, the analysis result may be configured to transmit related data to the settlement amount comparison unit 340 and the history management unit 350.

The constraint error analysis unit 330 compares the information on the generator-constrained quantity list between the constraint plan and the constraint performance and the generator-constrained quantity list, and compares the planned generator and the power generation cost, and is not included in the limited power generation among all generators with low power generation costs. Information about when there is a generator that has no power generation cost, i.e., a generator with less power generation cost than the plan-In this case, it is possible to exclude cases in which limited power generation cannot be performed even if the power generation cost is low -, the limited power generation among the generators of the limited plan and the limited performance ( If the amount of restriction) is different, information about it may be transmitted to the settlement amount comparison unit 340 and provided as input data. In this process, it is also possible to create and provide a constraint modification new generator-restriction amount list by reflecting various information.

The constraint error analysis apparatus according to an embodiment of the present invention receives constraint information from an external server, and generates a constraint plan generator-a list of constraints-the list includes information on generation cost for each generator-based on the constraint information. Constrained planning amount output unit; A limited amount output unit configured to receive SCED (stability-constrained economic power supply) data and generator matching information from an external server, and to generate a limited amount generator-constrained amount list based on the SCED data and the generator matching information; And a restriction error analysis unit, wherein the restriction error analysis unit is based on the restriction plan generator-constrained quantity list and the pharmaceutical performance generator-constrained quantity list, whether the generator is the same, whether or not there is a generator with less power generation cost than the plan, and the restriction quantity is the same. It may be configured to determine at least one of whether or not to generate a constraint error list.

Until now, although the cost of purchasing electricity has been paid according to the operation result of the market operating institution, the adequacy verification of the operation result has not been carried out. Since the cost increases and decreases depending on whether the start of the pharmaceutical generator is appropriate or the amount of restriction is appropriate, it is very important to determine the abnormality and appropriateness of the power supply operation for cost reduction. As the constraint error analysis unit 330 determines the appropriateness of the constraint plan, it can be expected to reduce the pharmaceutical cost by solving such a conventional problem.

The settlement amount comparison unit 340 may determine how much an increase or decrease in the power generation cost and the settlement amount is according to an error in the performance constraint compared to the plan. That is, it may include a configuration that calculates the adequacy and amount for the irrational expenditure of the power purchase cost according to the constraint error, and the history management unit 350 is a result value received from the constraint error analysis unit 330 and the settlement fee comparison unit 340 It can be configured to manage information in groups by day/month/year.

4 is a diagram illustrating a method of generating a list of constraint errors between a constraint plan and a constraint performance by the constraint error analysis apparatus according to an embodiment of the present invention. In an embodiment, in detail, the generation of the constraint error list may be performed by the constraint error analysis unit 330.

A method of generating a list of constraint errors between a constraint plan and a constraint performance by the constraint error analysis apparatus according to an embodiment of the present invention includes: first receiving a constraint plan generator-constrained quantity list (S410) and a constraint performance generator-constrained quantity list The step of receiving (S420) may be performed. Each generator-constrained quantity list may include generator, restriction quantity, and generation cost information for each generator.

By comparing the next constraint plan and the constraint performance list, a step (S430) of determining whether the planned content and the actual performance generator are the same may be performed. As a result of the determination, if the generators are not the same, a step (S470) of generating a constraint error list including a content that the generators are different may be performed.

When the generators are the same, a step (S440) of determining whether a generator having a lower power generation cost than the plan exists may be performed as a next step. This step can detect such an error when the power generation plan is uneconomically created even though there are generators with lower power generation costs, causing an increase in constraint costs. As a result of the determination, when there is a generator having a lower power generation cost than the plan, a step (S470) of generating a constraint error list including a content that exists may be performed.

If it does not exist, a step S450 of determining whether the constraint amount between the constraint plan and the constraint performance is the same may be performed as a next step. Generators are the same, but if there is a difference in the amount of constraints that causes a difference in the cost of the constraints, this error can be detected. When the constraint amount is the same, a step (S460) of storing the constraint plan generator-constrained amount list and the constraint performance generator-constrained amount list may be performed. The storage of the list or history may be configured to be stored in a storage module configured in the constraint error analysis unit 330, and the list may be transmitted to and stored in the history management unit 350. If the constraint amounts are not the same, the step of generating a constraint error list including a content that the constraint amounts are not the same (S470) may be included.

5 is a view showing the flow of information in the settlement amount comparison unit according to an embodiment of the present invention.

The settlement amount comparison unit 340 may determine how much an increase or decrease in the power generation cost and the settlement amount is according to an error in the performance constraint compared to the plan. That is, it may include a configuration that calculates the adequacy and amount for irrational expenditure of power purchase costs according to constraint errors. The process of calculating the settlement amount by the settlement amount comparison unit 340 may be performed using a price determination development plan program and settlement amount calculation program of the MTAS 120 that have been developed. It may be configured to receive data provided by the constraint error analysis unit 330 and use it as input data, as described above with respect to the constraint error analysis unit 330.

According to an embodiment, the constraint error analysis unit, based on the constraint plan generator-constrained amount list, the constraint performance generator-constrained amount list, and the constraint error list, generates a new constraint-modified generator-constrained amount list, and the settlement amount comparison unit, Constrained plan generator-constrained quantity list and constraint modification The new generator-constrained quantity list is transmitted to an external server, and the first SMP (system limit price) based on the constraint-planned generator-constrained quantity list from the external server, constraint modification Receive a second settlement amount based on the new generator-constraints list, the second SMP based on the new generator-constraints list, the first settlement fee and the constraint modification based on the constraint plan generator-constraints list, and the first It may be configured to compare the SMP and the second SMP to generate SMP comparison data, and to compare the first settlement amount and the second settlement amount to generate settlement amount comparison data.

Although the history management unit is shown to be configured inside the settlement amount comparison unit 340 in FIG. 5, the history management unit may be configured to be a configuration of the constraint error analysis device outside the settlement amount comparison unit 340.

6 is a view showing a state in which a history management unit manages a history according to an embodiment of the present invention, and FIG. 7 is a view showing a method in which the history management unit manages a history according to an embodiment of the present invention.

The history management unit 350 may be configured to group-manage the result value information received from the constraint error analysis unit 330 and the settlement amount comparison unit 340 by day/month/year. In addition, based on past information, it may be configured to calculate the most suitable generator and generation amount (constrained amount) for the purpose of minimizing generation cost under the same constraint, and further create a list. The information may include a learning function to update compared to the previous data when new information is received or generated, and may include a configuration to obtain a list of the most up-to-date generation cost minimizing generator and generation amount of the corresponding constraint.

According to an embodiment, the settlement amount comparison unit may be configured to transmit SMP comparison data and settlement amount comparison data to the history management unit, and the history management unit may be configured to manage SMP comparison data and settlement amount comparison data.

In the pharmaceutical adequacy evaluation system 110, the pharmaceutical cost estimating device 230 is configured to receive information such as the amount of power generation and settlement on the actual day from the automatic data acquisition device 210 to estimate the constraint cost for each constraint. Information such as power generation amount and settlement amount may be configured to be directly received from an external server such as MTAS, without going through the configuration of the automatic data acquisition device 210. A classification algorithm for each cause of constraint costs can be created based on the power generation performance settlement amount, and the constraint costs can be estimated by this algorithm. In addition, it can be configured to estimate constraint cost for each power source, and it can also perform trend analysis/history management of constraint cost.

As a method for the pharmaceutical cost estimating device 230 to calculate the constraint cost for each constraint, an estimation method using a constraint cost incurrence factor, an estimation method using a random priority, and an estimation method using an average cost calculation for each constraint may be used.

The constraint cost estimating device 230 for each cause of constraint cost according to an embodiment of the present invention includes a power generation plan amount and a power generation performance amount from an external server-the power generation performance amount is among demand information, reserve power information, North Korean tide information, and thermal constraint information. It includes at least one-and a communication unit configured to receive an earnings settlement fee; A processing unit configured to calculate a settlement amount for each factor due to at least one of demand information, reserve power information, North Korean tide information, and heat constraint information based on the planned amount of power generation, the amount of power generation, and the amount of performance settled; And a storage unit configured to store the settlement amount for each factor.

The estimation method using the constrained cost incurrence factor is a method of calculating the constrained cost by listing the cases in which the constrained power generation payment (CON) and the non-constrained generation wattage payment (COFF) for each generator are incurred. An example is given below and it demonstrates.

1. As a result of the actual demand being greater than the demand a day ago, CON costs are incurred (COFF occurs in the opposite case)

: Performance demand (62,000MW)-Demand the day before (60,000MW) = 2,000MW CON generation

2. CON generation to secure pure power reserve + frequency adjustment reserve

: 4,000MW CON generation

3. CON (COFF) occurrence by North Korean birds

: Gyeongin demand (55,000MW), non-pharmaceutical un-gyeongin power generation (45,000MW), and northern algae capacity (9,000MW), Gyeongin area CON generation = 1,000MW CON

4. Power generation performance of heat-constrained generator-Power generation plan of heat-constrained generator = CON generation due to heat-constrained power

: 4,000MW CON generated

In the case of the above example, the CON cost can be calculated for each of the four reasons. COFF cost can be calculated in the same way.

CON element Occurrence CON CON due to demand forecast error CON x 2/11 of the time CON due to reserve force CON x 4/11 of the time CON due to North Korean birds CON x 1/11 of the time CON due to heat constraint CON x 4/11 of the time

The method of estimating constraint cost using priority is to give priority to constraints and define the existing CON/COFF for each cause of constraint cost of performance. For example, it can be defined as follows. At this time, the priority is assumed to be arbitrarily established.

Item CON item COFF item Priority
(option) Emergency stop (U) CONU COFFU One Reserve power (R) CONR COFFR 2 Demand forecast error (L) CONL COFFL 3 Thermal constraint (H) CONH COFFH 4 Transmission restriction (T) CONT COFFT 5

First priority. The constrained cost due to the sudden stoppage requires the replacement of the generator to be started. After the demand forecasting, the CON of the generator with the high power production unit is calculated by the amount of the non-designated amount.

Second priority. The constraint cost according to the reserve power is calculated by accumulating COFF and CON for the generators that did not receive the preceding constraint cost and calculating COFFR and CONR.

Rank 3. Calculation is made for the generator that has evaporated and depleted due to the demand forecast error. Since this is the case with the highest priority, the amount of evaporation and depletion of the generator is calculated by the amount of error. Demand forecast> In the case of demand performance, when the generator is depressed due to the high demand forecast value, COFF is calculated by accumulating COFF from the generator with a high power production cost. Therefore, CONL is calculated by accumulating CON from a generator with a high power production unit.

Rank 4. In the case of thermal constraints, CONH and COFFH are calculated by accumulating CON for the generator in the case of prior thermal constraint planning and performance, accumulating CON in the case of planning <performance, and COFF in the case of planning> performance.

Rank 5. Constrained costs due to other constraints (transmission constraints, etc.) are calculated by accumulating COFF and CON for the generators that have not received the preceding constraint costs.

The pharmaceutical cost estimating device 230 for each cause of pharmaceutical costs according to another embodiment of the present invention includes a non-constrained settlement amount, a pharmaceutical reflected settlement amount from an external server-the pharmaceutical reflected settlement amount is an unannounced reflected settlement amount, a reserve reflected settlement amount, a demand forecast reflected settlement amount , Including at least one of the heat constraints reflected settlement amount and the transmission limit reflected settlement amount-and a communication unit configured to receive the total settlement amount; Calculate the error of the non-constrained settlement amount and the restriction reflected settlement amount for each restriction, calculate the sum of the errors, calculate the actual drug cost, which is the difference between the total settlement amount and the non-constrained settlement amount, A processing unit configured to generate scaling information by dividing a value obtained by multiplying by the actual drug cost by the sum of errors; And a storage unit configured to store scaling information.

The average cost method utilizes MTAS-RSC (Power Planning Program) of MTAS, which is an existing power market comprehensive analysis system. MTAS-RSC can be calculated by reflecting unconstrained data as input data. Each cost is recalculated as follows, the pharmaceutical cost estimating device 230 receives the value, and scaling for the total cost can be adjusted.

Untimely suspension-SMP reflecting untimely suspension and calculation of settlement amount (MTAS-RSC)

Reserve power-SMP reflecting reserve power and calculation of settlement amount (MTAS-RSC)

Demand forecast error-Calculate SMP and settlement amount reflecting demand forecast (MTAS-RSC)

Thermal constraint-Calculation of SMP and settlement amount reflecting thermal constraint (MTAS-RSC)

Transmission Constraints-Calculation of SMP and Settlement Fees Reflecting Transmission Constraints (MTAS-RSC)

The pharmaceutical cost estimating device 230 may receive the calculated settlement amount and calculate the settlement amount for each constraint as follows to produce scaling information.

Step 1: Calculation of the settlement fee for each pharmaceutical Step 2. Calculation of cost by pharmaceutical Step 3: Scaling versus total cost state Cost (100 million won) state Cost (100 million won) state Cost (100 million won) Non-pharmaceutical 51 Reserve cost 66-51=15 Reserve cost 15*20/34=8.8 Reflecting reserve power 66 Unannounced cost 52-51=1 Unannounced cost 1*20/34=0.6 Sudden stop 52 Transmission restriction cost 55-51=4 Transmission restriction cost 4*20/34=2.4 Reflection of transmission restrictions 55 Heat constraint cost 57-51=6 Heat constraint cost 6*20/34=3.5 Heat constraint reflection 57 Reflecting demand errors 59-51=8 Reflecting demand errors 8*20/34=4.7 Reflecting demand errors 59 Sum of errors 34 Scaling
Sum of errors 8.8+0.6+2.4+3.5+4.7=20 Total settlement amount 71 Actual drug cost 71-51=20

The user error notification device 240 is configured to receive information such as processing status, input data abnormality check, and various error messages from the constraint error analysis device 220 and the constraint cost estimation device 230 and automatically notify the user. I can. The information received by the user error notification device 240 may be various pieces of information transmitted from the configuration of each device described above. For example, the user error notification device 240 may receive SMP comparison data and settlement amount comparison data from the settlement amount comparison unit 340 of the constraint error analysis device 220, and scaling information from the pharmaceutical cost estimating device 230 Alternatively, you can receive the settlement fee for each factor. Here, the user to be notified may be an operator and/or an analyst of the system of the exchange.

The method and system for verifying the adequacy of pharmaceutical costs disclosed in the present invention can be operated by being integrated with the MTAS (Power Market Comprehensive Analysis System) operated by the Korea Electric Power Corporation. It can be applied to cost verification for

Currently and in the future, uncertainty in the power market is expected to increase due to energy conversion, increasing new and renewable energy through environmental and safety-oriented policies, reducing nuclear power plants, and continuing measures against fine dust. Due to this uncertainty, errors in demand forecasting, securing reserves, and transmission constraints will continue to increase. Therefore, verifying the appropriateness of the constraints on these constraints has the effect of reducing purchase costs.

In addition, since various new market participants are expected to enter, the reliability of the electricity market and the appropriateness of system operation for securing profits and reducing costs are more important.

Those skilled in the art to which the present invention pertains, since the present invention can be implemented in other specific forms without changing the technical spirit or essential features thereof, the embodiments described above are illustrative in all respects and should be understood as non-limiting. Only do it. The scope of the present invention is indicated by the claims to be described later rather than the detailed description, and all changes or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be construed as being included in the scope of the present invention. .

110: pharmaceutical adequacy evaluation system
120: MTAS (Power Market Comprehensive Analysis System)
210: automatic data acquisition device
220: constraint error analysis device
230: Pharmaceutical cost estimating device
240: user error notification device
310: Constraint plan amount output
320: Constrained performance amount output unit
330: constraint error analysis unit
340: settlement amount comparison unit
350: history management department

Claims (11)

Receiving restriction information from an external server,
A restriction plan amount output unit configured to generate a restriction plan generator based on the restriction information-a restriction quantity list-the list includes information on generation cost for each generator -;
Receives SCED (stability-constrained economic power supply) data and generator matching information from the external server,
A constrained quantity output unit configured to generate a constrained performance generator-constrained quantity list based on the SCED data and generator matching information; And
Including a constraint error analysis unit,
The constraint error analysis unit,
Based on the restriction plan generator-constrained quantity list and the constrained performance generator-constrained quantity list, by determining at least one of whether the generator is identical, whether there is a generator having a lower generation cost than the plan, and whether the restriction quantity is the same, a restriction error list Configured to generate,
Pharmaceutical error analysis device.
The method of claim 1,
It further includes a settlement fee comparison unit,
The constraint error analysis unit,
On the basis of the constraint plan generator-constrained quantity list, the constraint performance generator-constrained quantity list, and the restriction error list, a new constrained generator-constrained quantity list is generated,
The settlement amount comparison unit,
Transmitting the restriction plan generator-constrained quantity list and the restriction modified new generator-constrained quantity list to the external server,
The first SMP (system limit price) based on the restriction plan generator-constrained quantity list from the external server, the second SMP based on the restriction modified new generator-constrained quantity list, the restriction plan generator-constrained quantity Receiving a first settlement amount based on a list and a second settlement amount based on the restriction modified new generator-constrained amount list,
Comparing the first SMP and the second SMP to generate SMP comparison data,
Comprising to compare the first settlement amount and the second settlement amount to generate settlement amount comparison data,
Pharmaceutical error analysis device.
The method of claim 2,
Further including a history management department,
The settlement amount comparison unit transmits the SMP comparison data and the settlement amount comparison data to a history management unit,
The history management unit is configured to manage the SMP comparison data and the settlement amount comparison data,
Pharmaceutical error analysis device.
The method of claim 3,
The settlement amount comparison unit is further configured to transmit the SMP comparison data and the settlement amount comparison data to an external user error notification device,
Pharmaceutical error analysis device.
In the method for the constraint error analysis device to generate a list of constraint errors between the constraint plan and the constraint performance,
Receiving a constraint plan generator-a list of constraints-the list includes information on generation costs for each generator;
Receiving a constraint performance generator-a list of constraints;
Determining whether the generator is the same between the constraint plan and the constraint performance;
If the generators are the same, determining whether there is a generator having a lower power generation cost than the plan;
If it does not exist, determining whether the constraint amount between the constraint plan and the constraint performance is the same;
If the restriction amount is the same, storing the restriction plan generator-constrained quantity list and the restriction performance generator-constrained quantity list; And
The method comprising the step of generating a list of constraint errors when the generators are not the same, there are generators with lower generation costs than the plan, or the constraints are not the same
In the pharmaceutical cost estimating device for each cause of pharmaceutical cost,
A power generation plan amount and a power generation performance amount from an external server-the power generation amount includes at least one of demand information, reserve power information, north tidal current information, and heat restriction information-and a communication unit configured to receive a performance payment;
A processing unit configured to calculate a settlement amount for each factor due to at least one of the demand information, the reserve power information, the northern bird current information, and the heat restriction information based on the planned power generation amount, the power generation amount, and the performance settlement amount; And
Including a storage unit configured to store the settlement amount for each factor,
Pharmaceutical cost estimating device.
The method of claim 6,
The communication unit;
Further configured to transmit the settlement amount for each factor to an external user error notification device,
Pharmaceutical error analysis device.
In the pharmaceutical cost estimating device for each cause of pharmaceutical cost,
Non-constrained settlement from external server, pharmaceutical reflected settlement-The pharmaceutical reflected settlement includes at least one of the non-constrained settlement reflected, reserve reflected settlement, demand forecast reflected settlement, thermal constraint reflected settlement, and transmission constraint reflected settlement-and the total settlement. A communication unit configured to receive a signal;
The error of the non-constrained settlement amount and the pharmaceutical reflection settlement amount is calculated for each constraint
Calculate the sum of the errors,
Calculate the actual drug cost, which is the difference between the total settlement amount and the non-constrained settlement amount,
A processing unit configured to generate scaling information by dividing a value obtained by multiplying the error by the constraint by the sum of the errors by multiplying a value obtained by multiplying an actual drug cost by at least one of an untimely stop, a reserve force, a demand prediction, a heat constraint, and a transmission constraint; And
Comprising a storage unit configured to store the scaling information,
Pharmaceutical cost estimating device.
The method of claim 8,
The communication unit;
Further configured to transmit the scaling information to an external user error notification device,
Pharmaceutical error analysis device.
Receiving restriction information from an external server and generating a restriction plan generator-constrained quantity list-the list includes information on generation cost for each generator-based on the restriction information,
Receiving SCED (stability-constrained economic power supply) data and generator matching information from the external server to generate a limited performance generator-constrained quantity list based on the SCED data and generator matching information,
Based on the restriction plan generator-constrained quantity list and the constrained performance generator-constrained quantity list, by determining at least one of whether the generator is identical, whether there is a generator having a lower generation cost than the plan, and whether the restriction quantity is the same, a restriction error list Constrained error analysis device configured to generate;
A power generation plan amount and a power generation amount from the external server-the power generation amount includes at least one of demand information, reserve power information, north-south tide information, and heat constraint information-and a performance settlement amount,
Calculate a settlement fee for each factor due to at least one of the demand information, the reserve power information, the north bird information, and the heat constraint information based on the planned power generation amount, the power generation amount, and the performance settlement amount,
A pharmaceutical cost estimating device configured to store the settlement amount for each factor; And
Receiving the constraint error list from the constraint error analysis device,
Including a user error notification device, configured to receive the settlement amount for each factor from the constraint cost estimating device,
Pharmaceutical adequacy evaluation system.
The method of claim 10,
The constraint error analysis device,
On the basis of the constraint plan generator-constrained quantity list, the constraint performance generator-constrained quantity list, and the restriction error list, a new constrained generator-constrained quantity list is generated,
Transmitting the restriction plan generator-constrained quantity list and the restriction modified new generator-constrained quantity list to the external server,
A first SMP based on the restriction plan generator-constrained quantity list from the external server, the second SMP based on the restriction modified new generator-constrained quantity list, and the restriction plan generator-constrained quantity list based Receiving a first settlement amount and a second settlement amount based on the restriction modified new generator-constrained amount list,
Comparing the first SMP and the second SMP to generate SMP comparison data,
It is further configured to compare the first settlement amount and the second settlement amount to generate settlement amount comparison data,
The user error notification device is further configured to receive the SMP comparison data and the settlement amount comparison data from the constraint error analysis device,
Pharmaceutical adequacy evaluation system.

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