JP2023050920A - Plant optimal-operation planning apparatus - Google Patents

Abstract

To make a plan of a startup/shutdown state and input/output for each of plant constituent installations while considering operation patterns on input and output sides during transition of startup or shutdown matched with a time-series operation mode in a planning period of time, in a plant having a hierarchical structure of plant constituent installations.SOLUTION: A plant optimal-operation planning apparatus 101A, to be applied for a plant having a hierarchical structure of plant constituent installations as a target plant 102, comprises: an operation-mode determination restricting-condition setting section 209 that sets up an operation-mode determination restricting condition; an output-side operation pattern restricting-condition setting section 210 that sets up an output-side operation pattern restricting condition; an input-side operation pattern restricting-condition setting section 211 that sets up an input-side operation pattern restricting condition; and an optimization operating section 213 that makes an optimal-operation plan based on the operation-mode determination restricting condition, the output-side operation pattern restricting condition and the input-side operation pattern restricting condition.SELECTED DRAWING: Figure 7

Description

The present disclosure relates to a plant optimum operation planning device.

Reducing the total energy cost is an important issue in plant operation. To address this issue, research has been conducted to address the plant operation planning problem of planning the start-up/shutdown states and inputs/outputs of equipment for the purpose of minimizing the total energy cost. Conventionally, from the viewpoint of simplification of calculation, in most cases the operation pattern during transition to start or transition to stop was not considered. However, due to the introduction of the principle of competition due to the recent electric power system reform, modeling closer to the actual situation has become an issue in order to efficiently produce energy. Accordingly, several methods have been proposed for performing calculations for optimizing the plant operation schedule, taking into consideration the operation pattern during transition to startup or transition to shutdown.

In the plant operation schedule optimization method described in Patent Document 1, the type of operation mode is included as an integer operation mode variable as a part of the independent variables in the operation schedule optimization calculation, and is predetermined according to the operation mode variable. A method is disclosed for optimizing the operation schedule of the plant to be controlled so that the operation cost for each operation mode or the operation cost at the time of mode change is minimized within the cost evaluation function. ing. By this method, it is possible to optimize the operation schedule of the plant considering the operation pattern during the startup transition or shutdown transition in the near future according to the current state of the plant such as the duration of the previous outage.

In the thermal power plant operation planning method described in Non-Patent Document 1, a constraint condition for determining a time-series binary variable or a time-series operation mode for each type of operation mode, and a constraint that expresses an operation pattern according to the operation mode A formulation method based on Mixed Integer Linear Programming (MILP) is disclosed that considers the driving pattern during the start transition or the stop transition by introducing conditions.

JP-A-2005-284388

Applied Mechanics and Materials, Vols.672-674, pp.493-498, An MILP Formulation for the Thermal Unit Commitment Problem Considering Start-up and Shut-down Power Trajectories”, Jun Deng, Hua Wei

The plant operation schedule optimization method disclosed in Patent Document 1 is a constraint condition that determines the chronological operation mode during the planning period, such as hot start, warm start, or cold start, determined by the duration of the previous outage. Therefore, it is difficult to consider the operation pattern during transition to start or transition to stop according to the chronological operation mode during the planning period. Here, hot start refers to an operation mode in which the period during transition to startup is relatively short, warm start refers to an operation mode in which the period during transition to startup is longer than that of hot start, and cold start refers to an operation mode in which the transition period is longer than that of hot start. Refers to a mode of operation with a long transition period.

The thermal power plant operation planning method disclosed in Non-Patent Document 1 makes a plan for the power generation amount, which is the output of the thermal power plant, but does not make a plan for the fuel consumption amount, which is the input of the thermal power plant. Therefore, only the operation pattern on the output side during transition to start or transition to shutdown according to the operation mode of the thermal power plant can be considered. As for the operation pattern on the input side, there is generally known a method of obtaining it using a linear function expressing the relationship between input and output. However, since it is difficult to express the input/output relationship during the transition to start-up or transition to shutdown of a thermal power plant with a linear function, the input-side operation pattern during transition to start-up or transition to shutdown according to the operation mode of a thermal power plant Consideration is difficult.

Furthermore, the methods disclosed in Patent Document 1 and Non-Patent Document 1 are all intended for plants that consume fuel and supply one type of energy, but multiple energies such as electric power and low-pressure steam are supplied. However, it is difficult to apply this method to a plant that has a hierarchical configuration of equipment. Here, a plant having hierarchically structured equipment means, for example, a plant in which multiple devices consume fuel and output steam, and multiple other devices consume the steam and supply electric power. .

The present disclosure has been made in view of the above circumstances. An object of the present invention is to provide a plant optimum operation planning device that draws up a plan for the start/stop state and input/output for each plant component equipment while considering the operation pattern.

The optimal plant operation planning device of the present disclosure is a plant optimal operation planning device whose target plant is a plant having hierarchical plant configuration equipment, and is an operation mode that is a constraint condition for determining the time-series operation mode of the target plant. An operation mode discrimination constraint condition setting unit that sets discrimination constraints, and an output side operation pattern constraint condition that expresses the output side operation pattern during the transition to start and transition to shutdown of the target plant. A constraint condition setting unit, an input-side operation pattern constraint condition setting unit that sets an input-side operation pattern constraint condition that is a constraint condition that expresses the input-side operation pattern during startup transition and shutdown transition of the target plant, and operation mode discrimination an optimization calculation unit that draws up an optimal operation plan including start/stop status and input/output plans for each plant component facility of the target plant based on the constraints, the output-side operation pattern constraints, and the input-side operation pattern constraints; Prepare.

According to the optimal plant operation planning device of the present disclosure, in a target plant having hierarchical plant configuration equipment, the operation of the input side and the output side during the transition to start and transition to shutdown according to the time-series operation mode in the planning period While considering the pattern, it is possible to plan the start/stop state and input/output for each plant component equipment.

FIG. 2 is a diagram showing an example of target plants targeted by the optimal plant operation planning device of Embodiment 1; It is a figure which shows an example of operation|movement of a boiler. It is a figure which shows an example of the hot start of a boiler. It is a figure which shows an example of the warm start of a boiler. It is a figure which shows an example of the cold start of a boiler. It is a figure which shows an example of the shutdown of a boiler. 1 is a diagram showing a functional configuration of a plant optimum operation planning device according to Embodiment 1; FIG. It is a figure which shows an example of the data of the output side operation pattern according to the operation modes of a boiler. It is a figure which shows an example of the data of the input side operation pattern according to the operation modes of a boiler. It is a figure which shows an example of the basic data according to the operation mode of a boiler. It is a figure which shows an example of demand forecast data. FIG. 10 is a diagram showing an example of a power supply plan in which plans of generated power and purchased power are integrated for a first turbine and a second turbine; FIG. 4 is a diagram showing an example of a low-pressure steam supply plan in which low-pressure steam amount plans are integrated for the first turbine and the second turbine; 1 is a diagram showing a hardware configuration of a plant optimum operation planning device according to Embodiment 1; FIG. 4 is a flow chart showing the operation of the optimum plant operation planning device of Embodiment 1; FIG. 7 is a diagram showing the functional configuration of a plant optimum operation planning device according to Embodiment 2; 9 is a flow chart showing the operation of the optimum plant operation planning device of Embodiment 2;

Embodiments will be described below with reference to the attached drawings. In the following embodiments, detailed features and the like are also shown for technical explanation, but they are examples, and not all of them are necessarily essential features for the embodiments to be practicable. It should be noted that the drawings are shown schematically, and for the sake of convenience of explanation, some omissions or simplifications of the configuration may be made in the drawings as appropriate. In addition, the mutual relationship of sizes and positions of configurations and the like shown in different drawings are not necessarily described accurately and may be changed as appropriate. In addition, in the description given below, the same components are denoted by the same reference numerals, and their names and functions are also the same. Therefore, a detailed description thereof may be omitted to avoid duplication. Also, in the descriptions provided herein, when a component is described as “comprising,” “including,” or “having,” such expressions do not imply the presence of other components unless otherwise specified. is not an exclusive expression that excludes

<A. Embodiment 1>
<A-1. Configuration>
First, an example of the target plant 102 targeted by the optimal plant operation planning device 101A will be described. FIG. 1 shows an example of target plant 102 . The target plant 102 is configured with two boilers 11 and 12 for supplying electric power and low-pressure steam, and two turbine generators 21 and 22 (hereinafter referred to as turbines). Here, the boilers 11 and 12 and the turbines 21 and 22 are the plant constituent equipment that constitute the target plant 102 . The boilers 11 and 12 consume fuel such as city gas to generate high-pressure steam. High-pressure steam generated by the boilers 11 and 12 is concentrated in a high-pressure steam header. Turbines 21, 22 consume high pressure steam in the high pressure steam headers to produce low pressure steam and electrical power. By operating the extraction valves of the turbines 21 and 22, the amount of low-pressure steam generated can be adjusted. If the target plant 102 is short of power supply because the amount of power generated by the turbines 21 and 22 is less than the power demand, it is possible to receive power supply based on the contract concluded with the retail electricity supplier. can. The target plant 102 can release the low-pressure steam to the atmosphere when the low-pressure steam supply becomes excessive because the amount of low-pressure steam generated by the turbines 21 and 22 is larger than the low-pressure steam demand. When the supply of high-pressure steam becomes excessive because the amount of high-pressure steam consumed by the turbines 21 and 22 is less than the amount of high-pressure steam generated by the boilers 11 and 12, the target plant 102 releases the high-pressure steam to the atmosphere. can be done. It should be noted that atmospheric emissions of low pressure steam and high pressure steam are not shown in FIG.

The operator of the target plant 102 is required to operate the target plant 102 so as to reduce the total energy cost in order to efficiently produce energy. It is necessary to operate the target plant 102 by

FIG. 2 shows an example of operation of the boilers 11 and 12, which are plant components. In FIG. 2, the boilers 11 and 12 are in operation, stop, and then are in operation again. The horizontal axis of the graph in FIG. 2 indicates time, and the vertical axis indicates physical quantity. In FIG. 2, the solid line graph indicates the fuel consumption amount of the boilers 11 and 12, and the dashed line graph indicates the amount of high-pressure steam generated in the boilers 11 and 12. In FIG.

The operation modes of the boilers 11 and 12 are broadly classified into four: operating, transitioning to stop, stopping, and transitioning to start. During operation, it is an operation mode in which the boilers 11 and 12 are operated within a range from the minimum input/output to the maximum input/output. During transition to stop is an operation mode in which the input and output of boilers 11 and 12 are reduced according to a certain input pattern and output pattern in order to shift boilers 11 and 12 from operating to stopped. During stop is an operation mode in which the boilers 11 and 12 are stopped without input and output. During transition to startup is an operation mode in which the input and output of the boilers 11 and 12 are increased according to a certain input pattern and output pattern in order to transition the boilers 11 and 12 from being stopped to being in operation.

The operation mode of the turbines 21,22 is the same as the operation mode of the boilers 11,12.

During the transition to start, it is divided into the following three operation modes depending on the duration of the previous stop. hot start, warm start, and cold start. Hot start is a mode of operation in which the period during startup transition is relatively short. A warm start is an operation mode in which the period during transition to startup is longer than that of a hot start. A cold start is an operation mode in which the period during transition to startup is longer than that of a warm start.

FIG. 3 shows an example of hot start of the boilers 11,12. The horizontal axis of the graph in FIG. 3 indicates time, and the vertical axis indicates physical quantity. Note that the scale on the horizontal axis represents frames. A frame is a certain period of time. A solid line graph indicates the amount of fuel consumed by the boilers 11 and 12 , and a broken line graph indicates the amount of high-pressure steam generated by the boilers 11 and 12 . In the case of the hot start shown in FIG. 3, the period during transition to activation is three frames.

Hot starting of turbines 21 and 22 is similar to hot starting of boilers 11 and 12 .

FIG. 4 shows an example of warm start of the boilers 11 and 12. FIG. The horizontal axis of the graph in FIG. 4 indicates time, and the vertical axis indicates physical quantity. Note that the scale on the horizontal axis represents frames. A solid line graph indicates the amount of fuel consumed by the boilers 11 and 12 , and a broken line graph indicates the amount of high-pressure steam generated by the boilers 11 and 12 . In the case of the warm start shown in FIG. 4, the period during transition to start is four frames.

The warm start of the turbines 21,22 is similar to the warm start of the boilers 11,12.

FIG. 5 shows an example of cold start of boilers 11 and 12 . The horizontal axis of the graph in FIG. 5 indicates time, and the vertical axis indicates physical quantity. Note that the scale on the horizontal axis represents frames. A solid line graph indicates the amount of fuel consumed by the boilers 11 and 12 , and a broken line graph indicates the amount of high-pressure steam generated by the boilers 11 and 12 . In the case of the cold start shown in FIG. 5, the period during transition to startup is 5 frames.

A cold start for the turbines 21,22 is similar to a cold start for the boilers 11,12.

The operating modes during the shutdown transition may be divided by the duration of the prior running and startup transitions. However, here, the operation mode during transition to stop is not divided according to the duration of the previous operation and transition to start. Shutdown is a mode of operation during shutdown transitions.

FIG. 6 shows an example of shutdown of boilers 11 and 12 . The horizontal axis of the graph in FIG. 6 indicates time, and the vertical axis indicates physical quantity. Note that the scale on the horizontal axis represents frames. A solid line graph indicates the amount of fuel consumed by the boilers 11 and 12 , and a broken line graph indicates the amount of high-pressure steam generated by the boilers 11 and 12 . In the case of shutdown shown in FIG. 6, the period during transition to stop is three frames.

Shutting down the turbines 21,22 is similar to shutting down the boilers 11,12.

The above is an example of the target plant 102 targeted by the optimal plant operation planning device 101A.

Next, an example of functional configuration of the optimum plant operation planning device 101A will be described.

FIG. 7 is a functional configuration diagram of the optimum plant operation planning device 101A. The optimal plant operation planning device 101A includes an output-side operation pattern database (hereinafter, the database will be referred to as a DB) 201, an input-side operation pattern DB 202, an equipment characteristic DB 203, a demand forecast DB 204, a contract information DB 205, a plan result DB 206, an actual value DB 207, Basic constraint condition setting unit 208, operation mode discrimination constraint condition setting unit 209, output side operation pattern constraint condition setting unit 210, input side operation pattern constraint condition setting unit 211, evaluation function setting unit 212, optimization calculation unit 213, and data An input/output unit 214 is provided.

The output-side operation pattern DB 201 holds data of output-side operation patterns for each operation mode for each plant component equipment.

The input-side operation pattern DB 202 holds data of input-side operation patterns for each operation mode for each plant component equipment.

The facility characteristics DB 203 includes basic data for each operation mode for each plant configuration facility, data for input/output characteristics during operation for each plant configuration facility, data for change speed limit for each plant configuration facility, data for each plant configuration facility during operation. Maximum input/output data, minimum input/output data for each plant configuration equipment, upper and lower limit data for low-pressure steam extraction amount of turbine, data during transition to start-up by operation mode, and data during transition to shutdown by operation mode Holds data for a period.

The demand forecast DB 204 holds data of forecasted values of power demand and data of forecasted values of low-pressure steam demand.

The contract information DB 205 holds contract power data, power unit price data based on the contract concluded with the electricity retailer, and city gas unit price data.

The planning result DB 206 holds data on the optimal operation planning result of the plant. Specifically, the plan result DB 206 includes data on the power generation amount plan for each of the turbines 21 and 22, data on the low pressure steam generation amount plan for each of the turbines 21 and 22, and high pressure steam consumption for each of the turbines 21 and 22. plan data, high-pressure steam generation plan data for each boiler 11, 12, fuel consumption plan data for each boiler 11, 12, and start/stop state flag plan data for each plant component equipment , power purchase plan data, and fuel consumption plan data.

The actual value DB 207 contains data of past actual values of high-pressure steam consumption for each of the turbines 21 and 22, data of past actual values of fuel consumption for each of the boilers 11 and 12, and start/stop state flags for each of plant constituent equipment. Data of past actual values, data of past actual values of start-up flags for each plant component equipment, data of past actual values of start-up flags (hot start) for each plant component equipment, and start-up start values of each plant component equipment Holds past actual value data of flag (warm start), past actual value data of startup start flag (cold start) for each plant component equipment, and past actual value data of immediately after stop flag for each plant component equipment. do.

The basic constraint condition setting unit 208 sets an input change speed constraint for each plant component equipment, an output upper/lower limit constraint during operation, an input upper/lower limit constraint during operation, an electric power supply/demand balance constraint, and a high-pressure steam supply/demand balance constraint. , the low-pressure steam supply and demand balance constraint and the upper and lower limits of the variables are set.

The operation mode determination constraint condition setting unit 209 includes a constraint expressing the relationship between the activation start flag and the immediately after stopping flag, a constraint expressing the relationship between the activation start flag, the immediately after stopping flag, and the running flag, selection of the activation pattern, That is, constraints are set to express which activation pattern to select, hot start, warm start, or cold start.

The output-side operation pattern constraint condition setting unit 210 sets the output-side operation pattern constraint during transition to start and transition to stop.

The input-side operation pattern constraint condition setting unit 211 sets input-side operation pattern constraints during transition to start and transition to stop.

The evaluation function setting unit 212 sets evaluation functions.

The optimization calculation unit 213 solves the optimal operation planning problem of the target plant 102 and obtains the optimal operation planning result of the target plant 102 .

The data input/output unit 214 displays data held by the output-side operation pattern DB 201, the input-side operation pattern DB 202, the facility characteristic DB 203, the demand forecast DB 204, the contract information DB 205, the plan result DB 206, and the actual value DB 207, and displays the data held by the target plant 102. Data required for drafting an optimal operation plan are set in the output-side operation pattern DB 201, the input-side operation pattern DB 202, the facility characteristics DB 203, the demand forecast DB 204, and the contract information DB 205.

One plant optimum operation planning device 101A is installed for each demand location. The place of demand is all premises where electricity is used, including places where electricity is used.

The above is an explanation of an example of the functional configuration of the optimum plant operation planning device 101A.

Next, an example of data held by various DBs of the optimum plant operation planning device 101A will be described.

FIG. 8 shows an example of output-side operation pattern data for each operation mode of a boiler, which is plant equipment. The data shown in FIG. 8 are held by the output-side operation pattern DB 201 . In FIG. 8, outputs 1, 2, 3, 4 and 5 respectively represent the 1st, 2nd, 3rd, 4th and 5th frames during transition to start or transition to stop. In the case of hot start, the amount of high-pressure steam, which is the output of the boiler in the first frame during transition to startup, is 0.0%. 0.0% means that the amount of high-pressure steam is 0.0% when the amount of high-pressure steam under rated operation is 100%. Similarly, in the case of hot start, the amounts of high-pressure steam in the second and third frames during the startup transition are 25.0% and 50.0%, respectively. In the case of warm start, the amounts of high-pressure steam in the 1st, 2nd, 3rd, and 4th frames during the startup transition are 0.0%, 16.7%, 33.3%, and 50.0%, respectively. In the case of a cold start, the amounts of high-pressure steam in the 1st, 2nd, 3rd, 4th and 5th frames during the startup transition are 0.0%, 12.5%, 25.0%, 37.5% and 50.0, respectively. %. In the case of shutdown, the amounts of high-pressure steam in the 1st, 2nd, and 3rd frames during transition to stop are 50.0%, 25.0%, and 0.0%, respectively.

The output-side operation pattern data for each turbine operation mode is the same as the output-side operation pattern data for each boiler operation mode.

FIG. 9 shows an example of input-side operation pattern data for each operation mode of a boiler, which is plant equipment. The data shown in FIG. 9 are held by the input side operation pattern DB 202 . In FIG. 9, inputs 1, 2, 3, 4 and 5 respectively represent the 1st, 2nd, 3rd, 4th and 5th frames during transition to start or transition to stop. In the case of hot start, the fuel consumption, which is the input of the boiler in the first frame during the start transition, is 16.7%. 16.7% means that the fuel consumption is 16.7% when the fuel consumption is 100% when operating at rated power. Similarly, in the case of a hot start, the fuel consumption amounts in the second and third frames during the startup transition are 33.3% and 50.0%, respectively. In the case of a warm start, the fuel consumption amounts in the 1st, 2nd, 3rd and 4th frame during start transition are 12.5%, 25.0%, 37.5% and 50.0%, respectively. In the case of a cold start, the fuel consumption in the 1st, 2nd, 3rd, 4th and 5th frames during the start transition is 10.0%, 20.0%, 30.0%, 40.0% and 50.0% respectively. %. In the case of shutdown, the fuel consumption amounts for the 1st, 2nd, and 3rd frames during transition to stop are 50.0%, 33.3%, and 16.7%, respectively.

For a certain plant component equipment, the period (number of frames) of the input-side operation pattern data for each operation mode, the period (number of frames) of the output-side operation pattern data for each operation mode, and the operation mode of the equipment characteristics DB 203 The period during another start transition is the same as the period during the stop transition for each operation mode. For example, in the examples of FIGS. 8 and 9, since the hot start period is 3 frames, the hot start start-up transition period in the equipment characteristic DB 203 is also 3 frames.

The data of the input-side operation pattern for each operation mode of the turbine is the same as the data of the input-side operation pattern for each operation mode of the boiler.

FIG. 10 is an example of basic data for each operation mode of a boiler, which is plant equipment. The basic data shown in FIG. 10 are held by the equipment characteristics DB 203 . Hot start means an operation mode selected at the time of start-up with a duration of one frame or more and less than three frames during a previous stop. A warm start means an operation mode that is selected at the time of starting with a duration of 3 frames or more and less than 5 frames during a previous stop. Cold start means an operation mode selected at the time of start-up with a duration of 5 frames or more during a previous stop. Shutdown means an operation mode that is selected when the operation is stopped for one frame or more during the previous operation and during the transition to startup. The startup (shutdown) cost is the cost at the time of startup or shutdown. The start-up cost of hot start is 10,000 yen. The starting cost of warm start is 20,000 yen. The starting cost of the cold start is 30,000 yen. The shutdown cost for shutdown is 20,000 yen.

The basic data for each operation mode of the turbine is the same as the basic data for each operation mode of the boiler.

FIG. 11 is an example of demand forecast data. Demand forecast data is held in the demand forecast DB 204 . The demand forecast data of FIG. 11 is data of predicted values of the power demand and the low-pressure steam demand of the target plant 102 . The power demand forecast values are 100 kWh/h, 110 kWh/h, 120 kWh/h, 130 kWh/h, 125 kWh/h, and 120 kWh/h in the 1st, 2nd, 3rd, 4th, 5th, and 6th frames in the near future, respectively. be. Low-pressure steam demand forecast values are 60 MJ/h, 65 MJ/h, 70 MJ/h, 60 MJ/h, 50 MJ/h, and 40 MJ/h in the 1st, 2nd, 3rd, 4th, 5th, and 6th frames in the near future, respectively. is.

FIG. 12 shows an example of a power supply plan in which the power generation amount and purchased power plans are integrated for the turbines 21 and 22 . The data in FIG. 12 are held in the planning result DB 206. FIG. The horizontal axis of the graph in FIG. 12 indicates time, and the vertical axis indicates power consumption. The satin hatching indicates the amount of power purchased, the hatching indicates the amount of power generated by the turbine 21 (referred to as the first turbine), and the hatching indicates the amount of power generated by the turbine 22 (referred to as the second turbine). For example, in the first frame in the near future, the amount of power purchased is 20 kWh/h, the amount of power generated by the first turbine is 40 kWh/h, and the amount of power generated by the second turbine is 40 kWh/h.

FIG. 13 shows an example of a low-pressure steam supply plan in which the low-pressure steam amount plans for the turbines 21 and 22 are integrated. The data in FIG. 13 are held in the planning result DB 206. FIG. The horizontal axis of the graph in FIG. 13 indicates time, and the vertical axis indicates the amount of low-pressure steam. The mesh hatching indicates the amount of low-pressure steam in the turbine 21 (referred to as the first turbine), and the diagonal hatching indicates the amount of low-pressure steam in the turbine 22 (referred to as the second turbine). For example, for the first frame in the near future, the amount of low-pressure steam in the first turbine is 30 MJ/h, and the amount of low-pressure steam in the second turbine is 30 MJ/h.

The above is an example of the data held by the output-side operation pattern DB 201, the input-side operation pattern DB 202, the facility characteristics DB 203, the demand forecast DB 204, and the planning result DB 206 of the optimum plant operation planning device 101A.

Next, an example of the hardware configuration of the optimum plant operation planning device 101A will be described.

FIG. 14 is a hardware configuration diagram of the optimum plant operation planning device 101A. The plant optimum operation planning apparatus 101A includes an input device 301, an output device 302, a CPU (Central Processing Unit) 303, a main storage device 304, a secondary storage device 305, and a communication device 306. Communication device 306 is for connecting plant optimum operation planning device 101A to communication network 307 . The data input/output unit 214 in FIG. 7 is implemented by the input device 301 and the output device 302 . The output-side operation pattern DB 201, the input-side operation pattern DB 202, the facility characteristic DB 203, the demand forecast DB 204, the contract information DB 205, the plan result DB 206, and the actual value DB 207 in FIG. be. Basic constraint condition setting unit 208, operation mode discrimination constraint condition setting unit 209, output side operation pattern constraint condition setting unit 210, input side operation pattern constraint condition setting unit 211, evaluation function setting unit 212, and optimization calculation unit in FIG. 213 is implemented by the CPU 303 executing a software program stored in the main storage device 304 or the secondary storage device 305 . Acquisition of information from the target plant 102 in FIG. 7 is realized by the communication device 306 .

<A-2. Operation>
Each value used for the optimum operation planning problem of the target plant 102 is defined as follows. Values with lowercase initials are variables, and values with uppercase initials are constants or functions.
(set)
[Common system]

[Boiler system]

[turbine system]

(variable)
[Boiler system]

[turbine system]

[others]

(constants and functions)
[Boiler system]

[turbine system]

[others]

Note that if any of the time of each value, the past time, the set of times during the transition to startup, or the set of times during the transition to shutdown is outside the range of the defined set, the value exists. means not. The above is the definition of each value used for the optimal operation planning problem of the plant.

FIG. 15 is a flow chart showing the operation of the optimum plant operation planning device 101A. First, the basic constraint condition setting unit 208 sets a basic constraint condition (step S101). The basic constraint condition setting unit 208 acquires data necessary for setting constraint conditions from the facility characteristic DB 203 and the actual value DB 207, and the input change rate for each plant configuration equipment shown in the following equations (1) to (4) Set constraints.

Further, the basic constraint condition setting unit 208 acquires data necessary for setting the constraint condition from the equipment characteristic DB 203, and sets the output upper and lower limit constraints during operation shown in the following equations (5) and (6).

Further, the basic constraint condition setting unit 208 acquires data necessary for setting the constraint condition from the equipment characteristic DB 203, and sets input upper and lower limit constraints during operation shown in the following equations (7) to (8).

Also, the basic constraint condition setting unit 208 sets the power supply and demand balance constraint shown in the following equation (9).

Further, the basic constraint condition setting unit 208 sets the high-pressure steam demand-supply balance constraint shown in the following equation (10).

Further, the basic constraint condition setting unit 208 sets the low-pressure steam supply and demand balance constraint shown in the following equation (11).

In addition, the basic constraint condition setting unit 208 acquires data necessary for setting constraint conditions from the facility characteristics DB 203 and the contract information DB 205, and sets upper and lower limit constraints for variables shown in the following equations (12) and (13). do.

Next, the operating mode discrimination constraint condition setting unit 209 sets the operating mode discrimination constraint conditions (step S102). Specifically, the operation mode determination constraint condition setting unit 209 acquires data necessary for setting the constraint condition from the actual value DB 207, and sets the activation start flag and immediately after stop flag shown in equations (14) to (19). Set a constraint that expresses the relationship between

In addition, the operation mode determination constraint condition setting unit 209 acquires data necessary for setting the constraint condition from the facility characteristic DB 203 and the actual value DB 207, and the activation start flag and the stop condition shown in the following equations (20) to (23). Constraints are set to express the relationship between the immediately after flag and the driving flag.

Note that the expression (21)

A set of times defined by

Out of range means no value. Also, in formula (21)

The set of past times defined by

Out of range means no value. The same applies to each other value.

In addition, the operation mode determination constraint condition setting unit 209 acquires data necessary for setting constraint conditions from the facility characteristics DB 203 and the actual value DB 207, and expresses the selection of the activation pattern shown in equations (24) to (41). Set constraints. In this way, the operating mode determination constraint conditions include a constraint that expresses the relationship between the startup start flag and the immediately after shutdown flag of the target plant 102, and the relationship between the startup start flag, the immediately after shutdown flag, and the operating flag of the target plant 102. The constraint to be expressed and the constraint to express the selection of the activation pattern of the target plant 102 are expressed by inequality constraints or equality constraints including time-series binary variables for each operation mode of the target plant 102 .

Next, the output-side operation pattern constraint condition setting unit 210 acquires data necessary for setting the constraint conditions from the output-side operation pattern DB 201, the facility characteristics DB 203, and the actual value DB 207. ) is set (step S103). In this way, the output-side operation pattern constraint is represented by an equation constraint including time-series binary variables for each operation mode of the target plant and output-side operation pattern data for each operation mode of the target plant.

Next, input-side operation pattern constraint condition setting unit 211 acquires data necessary for setting constraint conditions from input-side operation pattern DB 202, facility characteristics DB 203, and actual value DB 207, and converts equation (46) to equation (49). Set the output side operation pattern constraint shown. In this way, the input-side operation pattern constraint is represented by an equation constraint including time-series binary variables for each operation mode of the target plant and data on the input-side operation pattern for each operation mode of the target plant.

Next, the evaluation function setting unit 212 acquires data necessary for setting the evaluation function from the equipment characteristic DB 203 and the contract information DB 205, and sets the evaluation function shown in the following formula (50).

Next, the optimization calculation unit 213 sets the constraint conditions set by the basic constraint condition setting unit 208, the operation mode determination constraint condition setting unit 209, the output side operation pattern constraint condition setting unit 210, and the input side operation pattern constraint condition setting unit 211. Under, the optimum operation planning problem of the target plant 102 that minimizes the evaluation function set by the evaluation function setting unit 212 is solved using a solver that can solve the mixed integer linear programming problem (MILP), and the target plant 102 obtain the optimum operation plan result (step S106).

Finally, the optimization calculation unit 213 is the data of the optimum operation plan result of the target plant 102, which is the data of the power generation amount plan for each of the turbines 21 and 22 and the low-pressure steam generation amount plan for each of the turbines 21 and 22. data, high-pressure steam consumption plan data for each turbine 21, 22, high-pressure steam generation plan data for each boiler 11, 12, fuel consumption plan data for each boiler 11, 12, Data on the plan for the start/stop state flag, data on the plan for purchased power, and data on the plan for fuel consumption for each plant component equipment are written in the plan result DB 206 .

<A-3. Effect>
101 A of plant optimal operation planning apparatuses of Embodiment 1 make the target plant 102 the plant which has the plant configuration equipment of hierarchical structure. The plant optimum operation planning device 101A includes an operation mode determination constraint condition setting unit 209 that sets an operation mode determination constraint condition that is a constraint condition for determining the chronological operation mode of the target plant, An output-side operation pattern constraint condition setting unit 210 that sets an output-side operation pattern constraint condition that is a constraint condition that expresses the output-side operation pattern during transition, and an input-side operation pattern during transition to startup and transition to shutdown of the target plant 102 Based on the input side operation pattern constraint condition setting unit 211 that sets the input side operation pattern constraint condition that is a constraint condition that expresses the operation mode discrimination constraint condition, the output side operation pattern constraint condition, and the input side operation pattern constraint condition, An optimization calculation unit 213 is provided for formulating an optimum operation plan including a start/stop state and an input/output plan for each plant component equipment of the target plant 102 . Therefore, according to the plant optimum operation planning device 101A, in a plant having a hierarchical structure of plant equipment, the operation pattern of the input side and the output side during the transition to start and transition to stop according to the time-series operation mode in the planning period is determined. It is possible to formulate an optimum operation plan for the plant that formulates a plan for the start/stop state and input/output for each plant component equipment while taking into consideration.

<B. Embodiment 2>
In Embodiment 2, a plant optimum operation planning device 101B that uses the plant shown in FIG. 1 as the target plant 102 will be described. In the following description, components similar to those described in the embodiments described above are denoted by the same reference numerals, and detailed description thereof will be omitted as appropriate. .

<B-1. Configuration>
FIG. 16 is a functional configuration diagram of the optimum plant operation planning device 101B. The optimal plant operation planning device 101B has the same configuration as the optimal plant operation planning device 101A of the first embodiment.

The optimization calculation unit 213 solves the optimal operation planning problem of the target plant 102, obtains the optimal operation planning result of the target plant 102, and transmits the near future optimal operation planning result of the target plant 102 to the plant control device 103. .

The plant control device 103 is a device that controls the target plant 102 .

<B-2. Operation>
FIG. 17 is a flow chart showing the operation of the optimum plant operation planning device 101B. Steps S101 to S107 in the flow of FIG. 17 are the same as steps S101 to S107 in the flow of FIG. 15, so description thereof will be omitted.

After step S<b>107 , the optimization calculation unit 213 generates power generation amount plan data for each turbine, low-pressure steam generation amount plan data for each turbine, high-pressure steam consumption plan data for each turbine, boiler Planned data of the amount of high-pressure steam generated per boiler and data of the planned fuel consumption of each boiler are transmitted to the plant control device 103 in the near future (control target values) (step S108).

<B-3. Effect>
The optimal plant operation planning device 101B of the second embodiment transmits the optimal operation plan for the target plant 102 drawn up by the optimization calculation unit 213 to the plant control device 103 that controls the target plant 102 . Therefore, according to the plant optimum operation planning device 101B, in addition to the effect of the first embodiment, the target plant 102 can be controlled based on the optimum operation planning result of the target plant 102. FIG.

In addition, it is possible to combine each embodiment freely, and to modify|transform and abbreviate|omit each embodiment suitably.

11, 12 boiler, 21, 22 turbine generator, 101A, 101B plant optimum operation planning device, 102 target plant, 103 plant control device, 208 basic constraint condition setting unit, 209 operation mode discrimination constraint condition setting unit, 210 output side operation Pattern constraint condition setting unit 211 Input side operation pattern constraint condition setting unit 212 Evaluation function setting unit 213 Optimization calculation unit 214 Data input/output unit 301 Input device 302 Output device 303 CPU 304 Main storage device 305 secondary storage device 306 communication device 307 communication network 201 output side operation pattern DB 202 input side operation pattern DB 203 facility characteristic DB 204 demand forecast DB 205 contract information DB 206 plan result DB 207 actual results Value DB.

Claims (5)

A plant optimum operation planning device for a plant having plant configuration equipment of hierarchical structure as a target plant,
an operation mode determination constraint condition setting unit that sets an operation mode determination constraint condition that is a constraint condition for determining the time-series operation mode of the target plant;
an output-side operation pattern constraint condition setting unit that sets an output-side operation pattern constraint condition that is a constraint condition that expresses the output-side operation pattern during startup transition and shutdown transition of the target plant;
an input-side operation pattern constraint condition setting unit that sets an input-side operation pattern constraint condition that is a constraint condition that expresses the input-side operation pattern during startup transition and shutdown transition of the target plant;
Based on the operation mode discrimination constraint, the output-side operation pattern constraint, and the input-side operation pattern constraint, an optimum operation plan including a start/stop state and an input/output plan for each of the plant constituent equipment of the target plant is generated. an optimization calculation unit for planning,
Plant optimum operation planning device. The operating mode determination constraint conditions are
a constraint that expresses the relationship between the start-up flag and the immediately after shutdown flag of the target plant;
a constraint that expresses the relationship between the start-up flag, immediately after shutdown flag, and operating flag of the target plant;
A constraint expressing the selection of the startup pattern of the target plant,
It is expressed by inequality constraints or equality constraints including time-series binary variables for each operation mode of the target plant,
The plant optimum operation planning device according to claim 1. The output-side operation pattern constraint is expressed by an equation constraint including time-series binary variables for each operation mode of the target plant and output-side operation pattern data for each operation mode of the target plant.
The plant optimum operation planning device according to claim 1 or claim 2. The input-side operation pattern constraint is expressed by an equation constraint including time-series binary variables for each operation mode of the target plant and input-side operation pattern data for each operation mode of the target plant.
The plant optimum operation planning device according to any one of claims 1 to 3. transmitting the optimum operation plan for the target plant drafted by the optimization calculation unit to a plant control device that controls the target plant;
The plant optimum operation planning device according to any one of claims 1 to 4.

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