Optimal operations analysis device, optimal operations analysis system, and optimal operations analysis method

Abstract

An optimal operations analysis device (100) of the present invention is characterized by comprising: a parameter setting / changing unit (104) that sets a plurality of combinations of a base load operating ratio, which is the ratio of the first capacity for generating wholesale electric power to the total facility capacity of an electric power plant, and an adjustment factor, which is the ratio of a second capacity that is actually ready to generate adjustment power to the facility capacity minus the first capacity; a gross profit calculation unit (109) that calculates a corresponding gross profit for each combination on the basis of revenue from selling the wholesale electric power, revenue from selling the adjustment power, and the power source cost; and an output unit (111) that outputs the relationship between the combinations and the gross profits as well as the combination that increases the gross profit enough to meet a designated criterion.

Description

Optimal operation analysis device, optimal operation analysis system, and optimal operation analysis method

[0001] The present invention relates to an optimal operation analysis device, an optimal operation analysis system, and an optimal operation analysis method.

[0002] In recent years, nuclear power plants have been undergoing safety measures and huge investments have been made to further improve safety and reliability. Furthermore, as we enter an era in which renewable energy is introduced on a large scale, output adjustment operations may be required, raising concerns that the economic viability of nuclear power plants may deteriorate.

[0003] Meanwhile, currently, nuclear power plants operate at a constant output as a base load power source. The generated electricity is traded stably through bilateral contracts, wholesale electricity markets, etc. However, further improvement in economic efficiency is difficult. Patent Document 1 discloses a technology for improving the economic efficiency of power plant operations.

[0004] Patent Document 1 states that "to operate a power plant to meet base load power demand, a flexible base load map is obtained that includes a primary base load operating space for achieving a target plant power output and a target plant power efficiency, and an extended base load portion for achieving an efficiency that is lower than the optimum plant power efficiency while increasing the plant power output (abstract)."

[0005] Japanese Patent Application Laid-Open No. 2022-171573

[0006] Patent Document 1 describes that the power plant is operated based on "optimal operating conditions of the power plant such that, for each of a plurality of market conditions, each of a plurality of visualizations of revenue associated with each of the operating segments in the divided flexible base load map satisfies the base load electricity demand with maximized revenue based on the specific market conditions (paragraph 0115)." However, no specific method for determining the optimal operating conditions is envisioned. Therefore, a person skilled in the art needs to appropriately set the specific optimal operating conditions.

[0007] Therefore, the present invention aims to specifically determine the optimal operating conditions of a power plant during output adjustment operation. More specifically, the present invention aims to display the relationship between the baseload operation ratio (described in detail below) and profit during output adjustment operation of a nuclear power plant, and further to determine the economically optimal allocation ratio between the baseload portion and the adjustment capacity supply portion (i.e., the optimal baseload operation ratio).

[0008] The optimal operation analysis device of the present invention includes a parameter setting and changing unit that sets a plurality of combinations of a base load operation ratio, which is the ratio of a first capacity for generating wholesale power to the installed capacity of a power plant, and an adjustment coefficient, which is the ratio of a second capacity that is in a state where it can actually generate adjustment power to the capacity obtained by subtracting the first capacity from the installed capacity; a power amount calculation unit that calculates the amount of generated power of wholesale power and the amount of generated power of adjustment power based on the installed capacity and the combination; a utilization rate calculation unit that calculates the equipment utilization rate of the power plant based on the combination; and a parameter setting and changing unit that sets a plurality of combinations of a base load operation ratio, which is the ratio of a first capacity for generating wholesale power to the installed capacity of a power plant, and an adjustment coefficient, which is the ratio of a second capacity that is in a state where it can actually generate adjustment power to the capacity obtained by subtracting the first capacity from the installed capacity. The power generation system is characterized by comprising: an electric energy revenue calculation unit that calculates revenue from selling wholesale power and revenue from selling adjustment capacity from the amount of power generated by the adjustment capacity and the amount of power generated by the adjustment capacity, a power source cost calculation unit that calculates a power source cost of the power generation plant based on the capacity factor, a total profit calculation unit that calculates a total profit corresponding to each of the combinations based on the revenue from selling wholesale power, the revenue from selling the adjustment capacity, and the power source cost, and an output unit that outputs the relationship between the combinations and the total profit, and the combinations that increase the total profit to an extent that a predetermined standard is met. Other means will be described in the description of the embodiment of the invention.

[0009] According to the present invention, it is possible to specifically determine the optimum operating conditions of a power plant during output adjustment operation.

[0010] It is a functional block diagram of an optimal operation analysis system. It is a flowchart showing a processing procedure of an optimal operation analysis device. It is an example of an optimal operation evaluation result. It is a hardware configuration diagram of an optimal operation analysis device.

[0011] Hereinafter, an embodiment of the present invention (hereinafter referred to as "the present embodiment") will be described in detail with reference to the drawings. The present embodiment is an example of a nuclear power plant, but the present invention is generally applicable to power plants other than nuclear power plants.

[0012] (Basic Concept) Electricity markets include wholesale electricity markets and supply-demand balancing markets. In the wholesale electricity market, the amount of electricity for a future time frame is traded. A transaction here might be, for example, "purchase (sell) ○ kWh of electricity at ○ yen / kWh for a certain 30 minutes early the next morning." Such electricity is called "wholesale electricity," and "○ yen / kWh" is called the wholesale electricity market price. Once a contract is made in the market (exchange), such a transaction is guaranteed to be carried out. In other words, electricity suppliers can operate nuclear power plants in a planned manner for such transactions.

[0013] In the supply and demand balancing market, the right to buy and sell electricity in an emergency in a future time frame is traded. The content of the transaction here is, "When a command is given, the right to buy (sell) ◎ kWh of electricity at ○ yen / kWh within 15 minutes of the command will be purchased (sold) at ○○ yen / kWh." For example, such electricity traded due to sudden changes in weather is generally called "adjustment capacity," and "○○ yen / kWh" is called the adjustment capacity market price. Even if such a transaction is concluded in the market, it is merely a transaction of rights (options), and there is no guarantee that the electricity will actually be traded. Adjustment capacity is like insurance for electricity consumers.

[0014] In this case, the power supplier divides the installed capacity (kW) of its nuclear power plant in half, designating the capacity required to operate at a constant output to generate wholesale electricity as the "first capacity," and reserves (or operates in some cases) the remaining capacity, obtained by subtracting the first capacity from the installed capacity, for adjustment power. This type of operation is called "output adjustment operation." If the power supplier increases the ratio of the first capacity in anticipation of no sudden changes in weather, it will lose revenue opportunities in the event of a sudden change in weather, and conversely, if it decreases the ratio of the first capacity, in the worst case scenario, it will lose all revenue.

[0015] Therefore, the base load operation ratio (0 to 1) is defined as follows: Base load operation ratio = first capacity for generating wholesale power / installed capacity

[0016] The capacity obtained by subtracting the first capacity from the installed capacity may or may not generate regulation power. Note that a part of the capacity obtained by subtracting the first capacity from the installed capacity may not actually be operational due to technical constraints. Therefore, the capacity obtained by subtracting the first capacity from the installed capacity that is actually capable of generating regulation power is referred to as the "second capacity." The regulation coefficient (0 to 1) is defined as follows: Regulation coefficient = second capacity that is actually capable of generating regulation power / capacity obtained by subtracting the first capacity from the installed capacity

[0017] (Optimal Operation Analysis System) Figure 1 is a functional block diagram of an optimal operation analysis system. The optimal operation analysis system 1 outputs proposal information that proposes base load operation ratios and the like during output adjustment operation for nuclear power plants. Specifically, the optimal operation analysis system 1 generates proposal information based on the expected wholesale electricity market price, the expected adjustment power market price, the installed capacity, and the adjustment coefficient.

[0018] The optimal operation analysis system 1 includes an optimal operation analysis device 100 and a monitor / nuclear power plant control unit (monitor / power plant control unit) 200 .

[0019] (Hardware configuration of the optimal operation analysis device) The optimal operation analysis device 100 is a general-purpose computer, and is equipped with a central control device, input devices, output devices, main storage device, auxiliary storage device, and communication devices as hardware (details are shown in Figure 4 below). The central control device reads out programs as software that are pre-stored in the auxiliary storage device into the main storage device, and the processing pre-defined in each program is realized as a function of the optimal operation analysis device 100. The same applies to the monitor and nuclear power plant control unit 200 described below.

[0020] (Software Configuration of the Optimal Operation Analysis Device) The optimal operation analysis device 100 includes an input unit 101, a price data acquisition unit 102, an equipment capacity acquisition unit 103, a parameter setting / changing unit 104, an energy calculation unit 105, a utilization rate calculation unit 106, an energy income calculation unit 107, a power source cost calculation unit 108, a total profit calculation unit 109, a profit storage unit 110, and an output unit 111. These are the programs described above.

[0021] The input unit 101 receives input of price data to be analyzed and information about the nuclear power plant. The price data is the estimated wholesale electricity market price (yen / kWh) and the estimated adjustment reserve market price (yen / kWh). The information about the nuclear power plant is the installed capacity (kW), the adjustment coefficient, etc. The input unit 101 may receive multiple arbitrary values ​​as the adjustment coefficient.

[0022] The price data acquisition unit 102 collects the estimated wholesale electricity market price (yen / kWh) and the estimated adjustment capacity market price (yen / kWh) from the input unit 101 .

[0023] The installed capacity acquisition unit 103 collects the installed capacity from the input unit 101. The parameter setting / changing unit 104 sets / changes the base load operation ratio and the adjustment coefficient as parameters. The parameter setting / changing unit 104 acquires the adjustment coefficient from the input unit 101. The parameter setting / changing unit 104 sets (generates) an arbitrary value for the base load operation ratio.

[0024] The power amount calculation unit 105 calculates the amount of generated power (kWh) of wholesale power and the amount of generated power (kWh) of adjustment power based on the installed capacity acquired from the installed capacity acquisition unit 103 and the base load operation ratio and adjustment coefficient acquired from the parameter setting / changing unit 104. The utilization rate calculation unit 106 calculates the utilization rate of the nuclear power plant based on the base load operation ratio and adjustment coefficient acquired from the parameter setting / changing unit 104.

[0025] The power income calculation unit 107 acquires price data from the price data acquisition unit 102, and acquires the amount of generated power (kWh) of wholesale power and the amount of generated power (kWh) of adjustment capacity from the power amount calculation unit 105. Then, the power income calculation unit 107 calculates the income (yen) from selling wholesale power and the income (yen) from selling adjustment capacity based on the acquired information.

[0026] The power source cost calculation unit 108 calculates the power source cost (yen) based on the facility utilization rate obtained from the utilization rate calculation unit 106. The power source cost includes expenditures such as fuel costs, facility maintenance costs, and facility operation costs. The total profit calculation unit 109 obtains the revenue from selling wholesale power and the revenue from selling adjustment capacity from the power amount revenue calculation unit 107, obtains the power source cost from the power source cost calculation unit 108, and calculates the total profit (yen) as the difference between the sum of the two revenues and the power source cost.

[0027] The profit storage unit 110 stores the combination of the total profit acquired from the total profit calculation unit 109 and the parameters (base load operation ratio and adjustment coefficient) acquired from the parameter setting / changing unit 104 in an auxiliary storage device, and issues an instruction to change the parameters to the parameter setting / changing unit 104. The output unit 111 outputs the relationship between the total profit and the parameters stored in the profit storage unit 110, and the values ​​of the parameters that increase the total profit to an extent that a predetermined standard is satisfied.

[0028] (Monitor / Nuclear Power Plant Control Unit) The monitor / nuclear power plant control unit 200 displays the results calculated by the optimal operation analysis device 100 and issues control instructions to the nuclear power plant based on the calculated results. The monitor / nuclear power plant control unit 200 includes an output display unit 201 and a control instruction unit 202. These are also the programs described above.

[0029] The output display unit 201 outputs, as proposed information, the relationship between the total profit and the parameters output by the optimal operation analysis device 100, and the parameter values ​​that increase the total profit to an extent that meets a predetermined standard. The proposed information can be output in the form of display on a display, storage in a storage medium, or printing on a sheet. The control instruction unit 202 generates operation commands for the nuclear power plant based on the parameters output by the output display unit 201.

[0030] (Processing Procedure) Figure 2 is a flowchart showing the processing procedure of the optimal operation analysis device. In step S101, the input unit 101 accepts a user's input of an estimated future wholesale electricity market price (yen / kWh). Here, the estimated future wholesale market price can be calculated using various existing methods. One example of a calculation method is a method of estimating the price from seasonal fluctuations, temperature, humidity, the proportion of renewable energy sources, etc.

[0031] In step S102, the input unit 101 accepts an input of an expected future market price of control reserve (yen / kWh) from the user. Here, the expected future market price of control reserve can also be calculated using various existing methods. One example of a calculation method is a method of estimating the price from past records of ΔkW prices, past records of control reserve kWh, etc.

[0032] The estimated wholesale electricity market price (yen / kWh) in step S101 and the estimated adjustment reserve market price (yen / kWh) in step S102 may be, for example, the following data: Wholesale electricity market price or adjustment reserve market price acquired in real time every 30 minutes, which is the smallest time unit of price fluctuation Wholesale electricity market price or adjustment reserve market price acquired from data for one or more years in the past for the same period

[0033] In step S103, the parameter setting / changing unit 104 sets or changes the base load operation ratio and the adjustment coefficient as parameters.

[0034] For example, if the base load operation with constant output is 70% and the operation for supplying adjustable power is 30%, the base load operation ratio is set to a value of 0.7. The parameter setting / changing unit 104 changes the value of the base load operation ratio each time the repeated processing goes through step S103.

[0035] As described above, due to the capacity (referred to as "adjustment capacity") determined by a comprehensive range of the nuclear power plant, its speed, and other thermal constraints, it is difficult to realistically imagine a case in which the entire capacity obtained by subtracting the first capacity for generating wholesale power from the installed capacity can be secured for power generation as adjustment capacity. In reality, a portion of this capacity will be secured. Therefore, it becomes necessary to take into account an adjustment coefficient. It is desirable to set the adjustment coefficient taking into account trends in the proportion of renewable energy in the power generation mix, etc. Therefore, the parameter setting / changing unit 104 may change the adjustment coefficient each time the repeated processing passes through step S103.

[0036] In step S104, the utilization factor calculation unit 106 calculates the facility utilization factor using the base load operation ratio and the adjustment coefficient set in step S103 and Equation 1.

[0037] <Formula 1> Capacity factor = base load operation ratio + (1 - base load operation ratio) x adjustment coefficient

[0038] In step S105, the power amount calculation unit 105 calculates the amount of generated power of wholesale power and the amount of generated power of adjustment capacity using the base load operation ratio and adjustment coefficient values ​​set in step S103, and Equation 2. To match the units on the left side and right side of Equation 2, the power amount calculation unit 105 multiplies the right side by the expected operation time.

[0039] <Formula 2> Wholesale power generation amount = installed capacity x base load operation ratio Adjustment power generation amount = installed capacity x (1 - base load operation ratio) x adjustment coefficient

[0040] In step S106, the electricity revenue calculation unit 107 calculates the revenue from selling wholesale electricity and the revenue from selling adjustment capacity using the estimated wholesale electricity market price input in step S101, the estimated adjustment capacity market price input in step S102, and equation 3.

[0041] <Formula 3> Revenue from selling wholesale electricity = Amount of wholesale electricity sold × Estimated wholesale electricity market price Revenue from selling adjustment capacity = Amount of adjustment capacity sold × Estimated adjustment capacity market price

[0042] Furthermore, in step S106, the total profit calculation unit 109 calculates the total profit using the revenue from selling wholesale power, the revenue from selling adjustment capacity, the power source cost, and Equation 4. An example of a method for calculating the power source cost will be described later.

[0043] <Formula 4> Total profit = Revenue from selling wholesale electricity + Revenue from selling adjustment capacity - Cost of power source

[0044] After step S106, the process returns to step S103. In step S103, the parameter setting / changing unit 104 changes the value of the base load operation ratio and the value of the adjustment coefficient, and then sets a new combination of parameters. As an example, the parameter setting / changing unit 104 may set a combination of the minimum value, maximum value, and intermediate value of the base load operation ratio, and the minimum value, maximum value, and intermediate value of the adjustment coefficient. In this case, the number of times the loop from step S106 to step S103 is performed is "9 times." After step S106 has been performed for all combinations of parameters, the process proceeds to step S107.

[0045] In step S107, the output unit 111 displays the following information on the output device of the optimal operation analysis device 100 or transmits it to the output display unit 201 of the monitor / nuclear power plant control unit 200: The relationship between the total profit calculated in step S106 and the parameters (base load operation ratio and adjustment coefficient) set in step S103 Parameters that increase the total profit to an extent that meets a predetermined standard

[0046] As an example of the relationship between total profit and parameters, the output unit 111 may output a graph in a three-dimensional space with total profit as the axis of the objective variable and the baseload operation ratio and adjustment coefficient as the axes of the explanatory variables.

[0047] Each time step S103 is performed, the parameter setting / changing unit 104 may change the value of the baseload operation ratio and the value of the adjustment coefficient using any algorithm (such as a genetic algorithm). For the purpose of explanation, a parameter vector "(#n, ♭n)" is defined (n = 1, 2, 3, ..., n). "#n" is the value of the baseload operation ratio, and "♭n" is the value of the adjustment coefficient. The above is one example in which the parameter setting / changing unit 104 sets nine parameter vectors "(#1, ♭1), (#2, ♭2), ..., (#9, ♭9)".

[0048] For further explanation, a driving state vector "[(#n, ♭n), Rn]" is defined. "Rn" is the total profit. The total profit calculation unit 109 generates one driving state vector each time step S106 is executed. A collection of these driving state vectors is nothing but the relationship between the total profit and the parameters. The output unit 111 can plot points representing the driving state vectors in the three-dimensional space and can also plot their regression curves (surfaces) as graphs. The output unit 111 may output, from among all the generated driving state vectors, a parameter vector included in a driving state vector whose "Rn" is large enough to satisfy a predetermined criterion.

[0049] This embodiment is expected to be applied to the study of indicators for determining how much adjustment power should be sold in the supply and demand adjustment market next month, and to the automation of economic operation. Examples of controls for automating the economic operation of nuclear power plants include the control of the recirculation flow rate in boiling water reactors and the control of boric acid concentration in pressurized water reactors. In addition to the above, control of off-site facilities during output adjustment operation using heat can also be mentioned. Note that the parameters in this embodiment (baseload operation ratio and adjustment coefficient) may be operated at specific values ​​that maximize total profit, or may be operated within a bandwidth that takes into account output constraints from the perspective of power system stability.

[0050] Now, assume that a combination of baseload operation ratio and adjustment coefficient that maximizes total profit has been identified. As an example, the output unit 111 may output a baseload operation ratio within a range of the baseload operation ratio ±10% and an adjustment coefficient within a range of the adjustment coefficient ±10%. As another example, the output unit 111 may output multiple combinations of baseload operation ratios and adjustment coefficients that maximize total profit, for example, 90% or more of its maximum value. Ultimately, the output unit 111 may output a combination of baseload operation ratios and adjustment coefficients that maximizes total profit to the extent that a predetermined standard is satisfied.

[0051] (Optimal Operation Evaluation Results) Figure 3 shows an example of an optimal operation evaluation result. In Figure 3, the wholesale electricity market price is assumed (fixed) to "20 yen / kWh", the adjustment capacity market price is assumed to "49 yen / kWh", and the adjustment coefficient, which is a parameter, is assumed to be "0.5".

[0052] On the other hand, the base load operation ratio, which is a parameter, takes the values ​​of "0.6", "0.8", and "1". In addition, Fig. 3 shows the capacity factor, power source cost, and total profit calculated according to each base load operation ratio.

[0053] <When the base load operation ratio is "0.6"> The capacity factor is calculated using Equation 1 as follows: "Capacity factor = base load operation ratio 0.6 + (1 - base load operation ratio 0.6) × adjustment coefficient 0.5 = 0.8".

[0054] The power cost is approximately defined as a function of the capacity factor. An example of this function is "power cost (yen / kWh) = -8.061 × ln (capacity factor) + 44.58". Note that "ln (capacity factor)" is the natural logarithm of the capacity factor. When the capacity factor is "0.8", the power cost is calculated as "9.256483 (yen / kWh)". Here, the power cost calculation unit 108 calculates future power cost by regression analysis using past actual power cost and capacity factor results.

[0055] The revenue from selling wholesale electricity is calculated as "installed capacity × base load operation ratio 0.6 × wholesale electricity market price 20 (yen / kWh) = 12 (yen / kWh)" using Equation 2 and Equation 3. Here, for convenience, the installed capacity is set to 1.

[0056] The income from selling adjustment capacity is calculated using Equation 2 and Equation 3 as follows: "Installed capacity × (1 - baseload operation ratio 0.6) × adjustment coefficient 0.5 × supply and demand adjustment market price 49 (yen / kWh) = 9.8 (yen / kWh)".

[0057] Therefore, the total profit is calculated using Equation 4 as follows: "Revenue from selling wholesale electricity 12 (yen / kWh) + revenue from selling adjustment capacity 9.8 (yen / kWh) - power source cost 9.256483 (yen / kWh) = 12.544 (yen / kWh)".

[0058] <When the base load operation ratio is "0.8"> In this case, the same calculation as above is performed, and the total profit becomes 12.593 (yen / kWh).

[0059] <When the base load operation ratio is "1"> In this case, the same calculation as above is performed, and the total profit becomes 12.542 (yen / kWh).

[0060] According to the results of the optimal operation evaluation, it is optimal to set the base load operation ratio at "0.8" and use the remaining "0.2" as the adjustment power operation. The results of the optimal operation evaluation have been simplified for the purpose of explanation, but in reality, it is desirable to fix the base operation ratio at "0.8" and then use a similar calculation to change the adjustment coefficient to further calculate the relationship between the adjustment coefficient and total profit, and operate at the point where it is maximized. Note that the validity of the assumed conditions such as the electricity price and power source cost shown in Figure 3 has not been particularly taken into consideration.

[0061] FIG. 4 is a hardware configuration diagram of the optimal operation analysis device. The optimal operation analysis device 100 is configured as a computer 900 having a CPU 901 (central control device), RAM 902 (main storage device), ROM 903, HDD 904 (auxiliary storage device), communication I / F 905, input / output I / F 906, and media I / F 907. The communication I / F 905 is connected to an external communication device 915. The input / output I / F 906 is connected to an input / output device 916. The media I / F 907 reads and writes data from a recording medium 917. Furthermore, the CPU 901 executes a program (also called an application or an app for short) loaded into the RAM 902 to improve and control each processing unit. This program can also be distributed via a communication line or recorded on a recording medium 917 such as a CD-ROM.

[0062] (Effects of this embodiment) (1) The optimal operation analysis device can calculate total profit for each combination of baseload operation ratio and adjustment coefficient. (2) The optimal operation analysis device can utilize current and past values ​​as price data. (3) The optimal operation analysis device can output the relationship between baseload operation ratio, adjustment coefficient, and total profit in an easily visible manner. (4) The optimal operation analysis device can easily calculate the amount of generated power from wholesale power and adjustment capacity. (5) The optimal operation analysis device can easily calculate capacity factors. (6) The optimal operation analysis device can calculate realistic capacity factors based on actual performance. (7) The optimal operation analysis device can set a sufficiently practical number of combinations of baseload operation ratios and adjustment coefficients.

[0063] The present invention is not limited to this embodiment and includes various modifications. For example, the above-described embodiment has been described in detail to clearly explain the present invention. The present invention is not necessarily limited to all of the described configurations and may include other income determined by factors such as the amount of electricity (e.g., carbon pricing, which will be established in the market in the future). It is also possible to replace part of the configuration of one embodiment with the configuration of another embodiment, or to add the configuration of another embodiment to the configuration of one embodiment. It is also possible to add, delete, or replace part of the configuration of each embodiment with other configurations. The above-described configurations, functions, processing units, processing means, etc. may be implemented in hardware, for example, by designing some or all of them as integrated circuits. The above-described configurations, functions, etc. may also be implemented in software, with a processor interpreting and executing a program that realizes each function. Information such as programs, tables, and files that realize each function may be stored in a storage device such as a memory, a hard disk, or an SSD (Solid State Drive), or in a storage medium such as an IC card, an SD card, or a DVD.

[0064] 1 Optimal operation analysis system 100 Optimal operation analysis device 101 Input unit 102 Price data acquisition unit 103 Equipment capacity acquisition unit 104 Parameter setting / changing unit 105 Energy amount calculation unit 106 Utilization rate calculation unit 107 Energy amount income calculation unit 108 Power source cost calculation unit 109 Total profit calculation unit 110 Profit memory unit 111 Output unit 200 Monitor / nuclear power plant control unit (monitor / power plant control unit) 201 Output display unit 202 Control instruction unit

Claims

1. A parameter setting / changing unit that sets a plurality of combinations of a baseload operation ratio, which is the ratio of a first capacity for generating wholesale power to the installed capacity of a power plant, and an adjustment coefficient, which is the ratio of a second capacity that is in a state where it can actually generate adjustment power to the capacity obtained by subtracting the first capacity from the installed capacity; an electric power amount calculation unit that calculates the generated electric power amount of wholesale power and the generated electric power amount of adjustment power based on the installed capacity and the combination; a utilization rate calculation unit that calculates the equipment utilization rate of the power plant based on the combination; an electric power amount income calculation unit that calculates the income from selling wholesale power and the income from selling adjustment power from price data, the generated electric power amount of the wholesale power, and the generated electric power amount of the adjustment power; a power source cost calculation unit that calculates the power source cost of the power plant based on the equipment utilization rate; a total profit calculation unit that calculates the total profit corresponding to each of the combinations based on the income from selling wholesale power, the income from selling the adjustment power, and the power source cost; and an output unit that outputs the relationship between the combination and the total profit, and the combination that increases the total profit to a degree that satisfies a predetermined standard. An optimal operation analysis device comprising:

2. The optimal operation analysis device according to claim 1, wherein the price data is wholesale electricity market prices and adjustment reserve market prices for each minimum time unit of price fluctuation obtained in real time, or wholesale electricity market prices and adjustment reserve market prices obtained from data for a single year or multiple years for the same period in the past.

3. The optimal operation analysis device according to claim 1, wherein the output unit outputs a graph in a three-dimensional space having the baseload operation ratio, the adjustment coefficient, and the total profit as axes, as the relationship between the combination and the total profit.

4. The optimal operation analysis device according to claim 1, wherein the power amount calculation unit determines the amount of generated power of the wholesale power as a value obtained by multiplying the equipment capacity by the baseload operation ratio, and determines the amount of generated power of the adjustment capacity as a value obtained by multiplying the equipment capacity by "(1 - baseload operation ratio) x adjustment coefficient." 5. The optimal operation analysis device according to claim 1, wherein the utilization rate calculation unit determines the equipment utilization rate as a value obtained by adding "(1 - baseload operation ratio) x adjustment ratio" to the baseload operation ratio.

6. The optimal operation analysis device according to claim 1, wherein the power source cost calculation unit calculates future power source costs by regression analysis using past power source cost records and past facility utilization rates.

7. The optimal operation analysis device according to claim 1, wherein the parameter setting / changing unit sets a combination of a minimum value, a maximum value and an intermediate value of the baseload operation ratio, and a minimum value, a maximum value and an intermediate value of the adjustment coefficient.

8. An optimal operation analysis system including an optimal operation analysis device and a monitor / power plant control unit, wherein the optimal operation analysis device comprises: a parameter setting / changing unit which sets a plurality of combinations of a baseload operation ratio, which is the ratio of a first capacity for generating wholesale power to the installed capacity of a power plant, and an adjustment coefficient, which is the ratio of a second capacity, which is in a state where it can actually generate adjustment power, to the capacity obtained by subtracting the first capacity from the installed capacity; a power amount calculation unit which calculates the generated power amount of wholesale power and the generated power amount of adjustment power based on the installed capacity and the combination; a utilization rate calculation unit which calculates the equipment utilization rate of the power plant based on the combination; a power amount income calculation unit which calculates the income from selling wholesale power and the income from selling adjustment power from price data, the generated power amount of the wholesale power, and the generated power amount of the adjustment power; a power source cost calculation unit which calculates the power source cost of the power plant based on the equipment utilization rate; and a total profit calculation unit which calculates the total profit corresponding to each of the combinations based on the income from selling wholesale power, the income from selling adjustment power, and the power source cost. an output unit that outputs to the monitor / power plant control unit the relationship between the combination and the total profit, and the combination that increases the total profit to a degree that satisfies a specified criterion, wherein the monitor / power plant control unit operates the power plant with the combination that increases the total profit to a degree that satisfies the specified criterion.

9. A parameter setting / changing unit of the optimal operation analysis device sets a plurality of combinations of a baseload operation ratio, which is the ratio of a first capacity for generating wholesale power to the installed capacity of a power plant, and an adjustment coefficient, which is the ratio of a second capacity, which is in a state where it can actually generate adjustment power, to the capacity obtained by subtracting the first capacity from the installed capacity; an electric energy calculation unit of the optimal operation analysis device calculates the amount of generated electric energy of wholesale power and the amount of generated electric energy of adjustment power based on the installed capacity and the combination; a utilization rate calculation unit of the optimal operation analysis device calculates the equipment utilization rate of the power plant based on the combination; an electric energy income calculation unit of the optimal operation analysis device calculates income from selling wholesale power and income from selling adjustment power from price data, the amount of generated electric energy of wholesale power, and the amount of generated electric energy of adjustment power; a power source cost calculation unit of the optimal operation analysis device calculates the power source cost of the power plant based on the equipment utilization rate; and a total profit calculation unit of the optimal operation analysis device calculates an output unit of the optimal operation analysis device outputs the relationship between the combination and the total profit, and the combination that increases the total profit to a degree that satisfies a predetermined standard.

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