JP5457805B2 - Power generation plan support apparatus and method - Google Patents

Description

  The present invention relates to a power generation plan support apparatus and method for a turbine facility, and in particular, to obtain a time required to reach a power generation operation state from a stop state of the turbine facility through a startup process of a rotation increase and a generator output increase. Is possible.

  The power generation plan support apparatus of the present invention is applied when formulating a turbine start-up plan in a power generation facility that employs a turbine start-up method that starts the turbine in the shortest time while keeping the thermal stress of the turbine rotor below a specified value, for example. Can do.

  Starting the steam turbine generator quickly from a stopped state not only improves the adaptability of the power grid to demand fluctuations, but also contributes to environmental and fuel cost reduction. However, if high-temperature and high-pressure steam is introduced into the steam turbine without limitation in order to shorten the start-up time, there is a dilemma that excessive thermal stress is generated in the turbine rotor and the life of the equipment is shortened. Therefore, a turbine start control method that can reduce start-up time as much as possible while keeping the thermal stress within a limited range is required.

  However, since the initial state at start-up in actual operation is not constant and may change during the start-up operation, it is important to finely control the state of steam and thermal stress while monitoring the start-up process. Become.

  In recent years, as a concrete solution, the heat transfer rate of the rotor is predicted sequentially over the start-up process, and the rate of increase in the turbine speed and the rate of increase in the generator output are corrected in real time, thereby suppressing the thermal stress within the limited range. However, a control method that effectively shortens the startup time has been developed (see Patent Document 1).

JP 2006-257925 A

  Prior to the start of the turbine, the person in charge of the power plant is required to coordinate with the person in charge of the operation of the electric power system regarding the output to be generated and its time. In the conventional general start-up method, the start-up schedule is determined from various conditions such as steam temperature, pressure, or rotor metal temperature expected in the initial state immediately before the start of the turbine start. As a result, the relationship between power generation output and time is also unique. I was able to get it.

  On the other hand, the startup method based on the sequential prediction of the heat transfer coefficient described in Patent Document 1 is based on the premise that control is performed in real time while monitoring the turbine state along the startup process. It is not possible to formulate a power generation plan in advance by calculating the startup schedule from the state before startup.

  The present invention has been made in consideration of the above-described problems, and controls the start-up of the turbine so as to achieve the shortest start-up time while sequentially predicting the heat transfer coefficient based on the state of the turbine equipment and the transition of the external environment. In a power generation facility that uses this method, the operating conditions that affect the turbine startup time are defined and registered in the equipment, and the heat generated when the turbine is started using the sequential heat transfer coefficient prediction method based on these operating conditions. It is an object of the present invention to provide a power generation plan support apparatus that can obtain a time series pattern of rotation increase and power generation output increase by simulation by calculating stress.

The power generation plan support apparatus according to the present invention sequentially monitors the turbine state along the startup process from the stop state to the power generation state, and suppresses the thermal stress of the turbine rotor within a limited range based on the monitoring result. In the turbine generator equipment power generation plan support device for performing real-time control so as to shorten the start-up time by sequentially correcting and controlling the rotational speed and generator output of the turbine,
(1) The time required to reach the power generation operation state from the turbine stop state while predicting the thermal stress generated in the turbine rotor in the prediction section from the current time to the future and keeping the predicted thermal stress below the specified value An optimal start-up schedule estimation means for calculating the rotation speed and the power generation output increase process,
(2) the holds affecting operating conditions of transition of the heat stress of the turbine rotor in the case of performing the real-time control along the boot process, constrain the operating conditions in the calculation at the optimum power-on schedule estimation means Operation condition definition means to be specified as a condition;
It is provided with.

In addition, the optimum activation schedule estimation means,
(3) First stage steam temperature predicting means for predicting the transition of the steam temperature of the turbine first stage based on the operating conditions specified by the operating condition defining means, and first predicting the transition of the turbine first stage metal temperature. One-step metal temperature prediction means,
(4) Based on the predicted value of the turbine rotor thermal stress estimated from the predicted value of the transition of the first stage metal temperature of the turbine, the predicted thermal stress during the startup process of the rotation increase and the generator output increase is kept below the specified value. An optimal startup calculation means for calculating a transition pattern of the rotation increase and the power generation output increase that minimizes the turbine startup time;
This is also one embodiment of the present invention.

Furthermore, the power generation plan support method according to the present invention sequentially monitors the state of the turbine along the start-up process from the stop state until reaching the power generation state, and based on the monitoring result, the thermal stress of the turbine rotor falls within the limited range. In the turbine generator equipment power generation plan support method for performing real-time control so as to shorten the start-up time by sequentially correcting and controlling the turbine rotation speed and generator output while suppressing,
(5) holding the trend affecting operating conditions of thermal stress of the turbine rotor in the case of performing the activation process real-time control along,
(6) Based on the stored operating conditions, the thermal stress generated in the turbine rotor in the predicted section extending from the current time to the future is predicted, and the predicted thermal stress is kept below the specified value while the turbine is in the power generation operation state. Calculate the rotation speed and power generation output increase process that minimizes the time to reach
It is characterized by that.

  The power generation plan support apparatus and method according to the present invention is a power generation facility to which a high-speed turbine start-up method based on sequential prediction of heat transfer coefficient is applied, and the power generation is estimated by estimating the relationship between the power generation output and the time before the turbine start-up. Allows planning.

The block diagram explaining Example 1 of the electric power generation plan assistance apparatus which concerns on this invention. 6 is a graph for explaining a method for setting operating conditions specified by the operating condition defining unit 2 in the first embodiment. 6 is a graph for explaining a method for notifying a calculation result of an optimal activation schedule in the first embodiment. The block diagram explaining the structure which connects the apparatus of this invention to a real machine turbine and a turbine starting control apparatus as Example 2 of this invention.

  Embodiments of a power generation plan support apparatus and method according to the present invention will be described with reference to the accompanying drawings.

[Configuration of Example 1]
FIG. 1 is a configuration diagram showing an embodiment of a power generation plan support apparatus and method according to the present invention. The power generation plan support apparatus according to the first embodiment includes an optimal activation schedule estimation unit 1 and an operation condition definition unit 2 provided in the preceding stage. The power generation plan support method according to the present embodiment is implemented using this power generation plan support device.

  The optimal start-up schedule estimation means 1 includes the first stage steam temperature prediction means 3, the heat transfer coefficient prediction means 4, the metal temperature integration means 9, and the metal temperature dTm based on the input data from these means 3, 4 and 9. A first stage metal temperature prediction 5 for prediction is provided. On the output side of the first stage metal temperature predicting means 5, a thermal stress predicting means 6, an optimal start-up calculating means 7, and an integrating means 8 for the turbine rotational speed w and the power generation output MW are sequentially connected.

  The output side of the first stage metal temperature prediction means 5 is connected to the input side of the metal temperature integration means 9, and the output dTm of the first stage metal temperature prediction means 5 is input to the metal temperature integration means 9. The output side of the integrating means 8 for the turbine rotational speed w and the power generation output MW is connected to the input side of the heat transfer coefficient predicting means 4, and the output value w, MW of the integrating means 8 is input to the heat transfer coefficient predicting means 4. . The heat transfer coefficient predicting means 4 calculates the transition Hf of the heat transfer coefficient based on the turbine rotation speed w and the output value w, MW of the power generation output MW integrating means 8 and outputs it to the first stage metal temperature predicting means 5. .

  The operating condition defining means 2 includes a time trend holding means 10 and an initial condition holding means 11 at the start of startup. The time trend holding means 10 holds the temperature Ts and pressure Ps of the steam flowing into the turbine as operating conditions as a time trend from the time of starting the turbine. The temperature Ts and pressure Ps of the steam flowing into the turbine held by the time trend holding means 10 are input to the first stage steam temperature prediction means 3. The first stage steam temperature predicting means 3 determines the future steam temperature Tf of the turbine first stage in the starting process based on the temperature Ts and pressure Ps of the steam flowing into the turbine received from the time trend holding means 10. Predict the transition. The predicted value of the steam temperature Tf is input to the first stage metal temperature prediction 5.

  The start-up initial condition holding means 11 defines and holds the rotor metal temperature Tmi at the start of turbine startup. Since the rotor metal temperature Tmi is determined by the time elapsed since the last stop of the turbine, it is defined and held in the initial condition holding means 11 at the start of startup. The rotor metal temperature Tmi is input to the metal temperature integrating means 9.

  The metal temperature integrating means 9 receives the rotor metal temperature Tm and the output dTm of the first stage metal temperature predicting means 5 and obtains the future transition Tm of the rotor metal temperature. The transition Tm of the rotor metal temperature is input to the first stage metal temperature prediction 5.

  The first stage metal temperature predicting means 5 includes the future transition of the steam temperature Tf inputted from the first stage steam temperature predicting means 3, the heat transfer coefficient predicting means 4 and the metal temperature integrating means 9, the heat transfer coefficient change Hf and Based on the future transition Tm of the rotor metal temperature, a change vector dTm of the first stage metal temperature is estimated.

[Operation of Example 1]
Next, the operation of the first embodiment having the above configuration will be described.

(1) First stage steam temperature prediction means 3
First, the first stage steam temperature prediction means 3 of the optimum schedule estimation means 1 predicts the future transition of the steam temperature Tf of the turbine first stage in the start-up process based on the operation conditions defined by the operation condition definition means 2. To do.

  In the first embodiment, the temperature Ts and the pressure Ps of the steam flowing into the turbine as operation conditions are held in the time trend holding unit 10 as a time trend from the time of starting the turbine. The steam temperature Ts and pressure Ps correspond to a specific stage in the middle of the turbine start-up process. The capacity of the steam supply equipment (external equipment viewed from the turbine), for example, a combined cycle power generation equipment, gas turbine or exhaust heat recovery boiler The time transition at startup is determined according to the performance of the equipment and the operation standard. That is, the steam temperature Ts and the pressure Ps that affect the future transition of the steam temperature Tf of the turbine first stage part are previously held in the time trend holding means 10 as a time trend along the starting process. As a data format for holding Ts and Ps, a method of holding data indicating transitions of Ts and Ps in a tabular format with respect to the time axis can be considered as a simple method.

  Here, it is preferable in terms of accuracy to hold data with the same or finer time resolution than the calculation cycle in the first stage steam temperature prediction means 3. Alternatively, it may be a mathematical expression showing the rise process of Ts and Ps with respect to the time after the start of the turbine start.

  FIG. 2 is an example for explaining an operation condition setting method designated by the operation condition defining means 2. In the first embodiment, the initial state 21 of the turbine inlet steam temperature Ts at the start of turbine startup, the initial state 22 of the turbine inlet steam pressure Ps, the time change rate 23 of Ts, the time change rate 24 of Ps, and the upper limit 25 of Ts An upper limit 26 of Ps is shown.

Further, there is a case where the change rate of Ts or Ps is switched depending on individual conditions regardless of the elapsed time after the start of the turbine. In the first embodiment, 27 is shown as a switching condition when Ps switches from a constant value to 5 kg / cm ² / min when the power generation output reaches 200 MW. It is effective to hold such a conditional expression in the operation condition definition means 2.

(2) First stage metal temperature prediction means 5
Next, the first-stage metal temperature prediction means 5 sequentially predicts the transition of the first-stage metal temperature Tm at time k (k) using the following heat transfer equation (1).
Tm (k) = Tm (k-1) + Hf (k) {Ts (k-1) -Tm (k-1)} ... (1)
Where Tm (k): First stage metal temperature at the future
Tm (k-1): First stage metal temperature at present
Tf (k-1): First stage steam temperature at present
Hf (k): Future heat transfer coefficient

Then, the first-stage metal temperature predicting means 5 estimates the change vector dTm of the first-stage metal temperature per unit time by the following equation (2).
dTm = Tm (k) -Tm (k-1) ... (2)

For this purpose, it is necessary to obtain three parameter transitions: the first stage steam temperature Tf, the heat transfer coefficient transition Hf, and the metal temperature Tm. Of these, the first stage steam temperature Tf is the first stage steam temperature prediction. Predicted by means 3. Further, with respect to the transition Hf of the heat transfer coefficient, the heat transfer coefficient predicting means 4 can calculate the Hf at the time point k as shown in the following equation (3) by using a proportional model for the turbine rotational speed w and the power generation output MW.
Hf (k) ＝ a ・ w (k) + b ・ MW (k)… (3)
Where a and b are proportional constants
w (k) is the turbine speed at a future time
MW (k) is the power generation output at a future time.

  Here, the turbine rotational speed w and the power generation output MW are both 0 at the start of the turbine start-up, but can be obtained by sequentially integrating the rotational speed increase rate and the power generation output increase rate calculated by the optimum start calculation means 7 described later. It is done.

  On the other hand, regarding the future transition Tm of the rotor metal temperature, since the rotor metal temperature Tmi at the time of turbine start-up is determined by the time elapsed since the last stop of the turbine, the operation condition defining means 2 is started. The initial condition holding means 11 at the start is defined and held in advance. Therefore, when the first stage metal temperature predicting means 5 performs the first calculation immediately after the start of the turbine start, the metal temperature integrating means 9 first selects Tmi and calculates the predicted value of the first stage metal temperature. To do. In the second and subsequent calculations, the first-stage metal temperature change vector dTm calculated by the first-stage metal temperature predicting means 5 itself is sequentially integrated to update the first-stage metal temperature each time. use.

(3) Thermal stress prediction means 6
The thermal stress prediction means 6 predicts the transition of the thermal stress generated in the rotor from the first-stage metal temperature change vector dTm and the temperature distribution in the rotor radial direction determined from the metal material characteristics of the turbine rotor and the rotor structure. For example, the calculation formula of the rotor surface thermal stress generated in the turbine rotor at time k considers only the radial heat distribution assuming that the turbine rotor is an infinitely long cylinder (infinite cylinder). For example, when a model in which the turbine rotor is divided into 10 parts in the radial direction and one control period is further divided into 10 parts is used, the equation for obtaining the thermal stress in the rotating body of the turbine rotor is the state space model of the following equations (4) and (5) It is represented by

Xe (k) = Ae · Xe (k-1) + Be · Tm (k)… (4)
σ _s (k) = Ce ・ Xe (k)… (5)
Ae, Be, Ce: Matrix coefficients of rotor material
Xe (k): Temperature distribution of the radial elements of the rotor at the current time k σ _s (k): Surface thermal stress of the rotor at the current time k

Here, Xe (k), Tm (k), Ae, Be, and Ce in the equations (4) and (5) are expressed by the following equation (6).

Each constant and each variable in the equation (6) is expressed by the following equation (7).

The constants and variables in equations (6) and (7) are as follows.
Tm (k): First stage metal temperature at sample time k
Tj (k): Rotor internal temperature at the j-th division at sample time k σ _s (k): Rotor surface thermal stress at sample time k
C (j), D (j): Rotor mesh coefficient
E, F, G, H, EK: Rotor material, external shape, heat transfer coefficient
Ro: Rotor outer radius ΔR: Rotor outer radius / number of divisions (10)

The thermal stress prediction model that predicts the thermal stress up to m steps ahead of the current time k from the thermal stress calculation formulas expressed by equations (4) and (5) is the state space model of the following equation (8). Represented.

Equation (8) is a thermal stress prediction model using the first-stage metal temperature change prediction vector [Tm] as an input. Therefore, the prediction interval obtained from the prediction first-stage metal temperature change rate dTm (k + j) (j = 1, 2,..., M) of the prediction interval obtained by the first-stage metal temperature prediction means 5 is calculated using equation (8). The predicted thermal stress σ _s (k + j) (j = 1, 2,..., M) can be calculated.

(4) Optimal activation calculation means 7
The optimum startup calculation means 7 is based on the predicted thermal stress value σ _s of the turbine rotor, and the optimum startup stress that minimizes the turbine startup time while keeping the predicted thermal stress in the startup process of the rotation increase and the generator output increase below the specified value. A transition pattern of the turbine acceleration rate signal dw _opt and the optimum power generation output increase rate signal dMW _opt is calculated.

Equation (6) representing the heat transfer coefficient hf (k + j) (j = 1, 2,..., M) of the prediction section in the heat transfer prediction means 4, the prediction section calculated by the first stage metal temperature prediction means 5. The predicted thermal stress σ _s (k + j) is calculated from the equation (1) representing the predicted first-stage metal temperature change rate Tm (k + j) and the equation (8) representing the thermal stress prediction model in the prediction section by the thermal stress prediction means 6. Is expressed by a nonlinear function of the turbine acceleration rate pattern dw (k + j) (j = 0, 1, 2,..., M−1) in the prediction interval that is the operation amount.

  The optimum startup calculation means 7 formulates an optimization problem for obtaining a turbine acceleration rate pattern that achieves the shortest startup time while keeping the thermal stress generated in the turbine rotor during startup of the power plant below a certain specified value as follows. ing.

Restriction: The following equation is satisfied for a given thermal stress specified value σ _max .

Further, upper and lower limit values are provided for the operation amount as necessary.

Here, the operation amount lower limit dw _min is switched as follows as an example depending on whether or not the turbine rotor is in the critical rotation speed range.

(a) In the critical speed range, the manipulated variable lower limit value dw _min is as follows.

(b) When the engine speed is outside the critical rotational speed range, the manipulated variable lower limit value dw _min is as follows.

Thereby, in the critical rotation speed range, the turbine speed increase rate is not HOLD, and the turbine speed increase rate can always be a value dw _min or more. If the rated rotational speed of the steam turbine is 3600 rpm, for example, the critical rotational speed range is 900 rpm to 3300 rpm.

The optimum startup calculation means 7 maximizes the following objective function in order to optimize the turbine acceleration rate pattern dw (k + j) (j = 0, 1, 2, ..., m-1) in the prediction section. Is planned.

This optimization is an m-variable nonlinear optimization problem and can be solved by a method such as line search by the quasi-Newton method. Eventually, the head optimum operation amount dw (k) is determined as the optimum turbine acceleration rate at the current time k, and the optimum turbine acceleration rate signal dw _opt can be obtained.

The optimum startup calculation means 7 can formulate and calculate the optimization of the turbine acceleration rate pattern (and the generator load increase rate pattern) in the prediction section. In this formulation, for the design variable dw (kj) (j = 0, 1, 2, ..., m-1), the following equation (11) that the turbine speed increase rate at each step in the prediction interval is always constant: The constraint condition is added.

  According to equation (11), the turbine acceleration rate pattern optimization problem in the prediction section can be greatly simplified from m-variable optimization to single-variable optimization, and the turbine start-up control device 10 is implemented in an actual machine. This is advantageous.

Although the above description has been given of the case where the optimum turbine acceleration rate signal dw _opt is obtained, the transition pattern of the optimum power generation output increase rate signal dMW _opt can be calculated by the same method.

(5) Means for integrating turbine rotational speed w and power generation output MW 8
The turbine rotation speed w and power generation output MW integrating means 8 adds the rises dw _opt and dMW _opt in the current calculation cycle obtained by the optimum start calculation means 7 to the previous rotation speed w and power generation output MW. Then, the rotation speed w and the power generation output MW used in the next calculation cycle of the heat transfer coefficient prediction unit 4 are generated. That is, the rotation speed w and the power generation output MW obtained by the integrating means 8 are input to the heat transfer predicting means 4 and used for calculating the next transition Hf of the heat transfer coefficient.

  As a result, as shown in FIG. 3, the predicted thermal stress 31 is composed of an increase process 33 of the rotational speed w and an increase process 34 of the power generation output in which the start-up time is minimized while holding the predicted thermal stress 31 within the range of the thermal stress limit value 32. An optimal start-up schedule is calculated and notified to the operating personnel of the power generation facility.

  Furthermore, the optimal start-up schedule estimating means 1 of the first embodiment is provided with start-up operation start time calculating means for calculating the start time of the turbine start-up operation by specifying the time to reach the predetermined generator output, and this start-up operation start time By setting the start completion time 35 in advance for the calculation means, it is possible to know the time 36 at which the turbine start operation should be started. Therefore, in the above power generation planning support device, it becomes possible to estimate the required start-up time in the power generation equipment that performs the start-up control of the turbine so as to obtain the shortest start-up time by sequentially predicting the thermal stress of the turbine, By knowing in advance the time at which the start operation should be started, planned facility operation can be performed.

[Effect of Example 1]
As described above, in the invention of Patent Document 1, the predicted first-stage steam temperature from the first-stage steam temperature prediction means 3 and the first-stage metal temperature at the current time are input to the first-stage metal temperature prediction means 5. The predicted first-stage metal temperature change rate dTm was obtained by adding the transition Hf of the heat transfer rate from the heat transfer means to this. On the other hand, in the first embodiment, the rotor metal temperature Tmi at the start of turbine start, which is held in the start-up initial condition holding unit 11, is input to the metal temperature integrating unit 9. In this metal temperature integrating means 9, the first stage metal temperature is calculated based on the predicted first stage metal temperature change rate dTm obtained from the first stage metal temperature predicting means 5 and the temperature Tmi of the rotor metal at the time of starting the turbine. The temperature change prediction vector [Tm] is calculated.

  As a result, in Example 1, the thermal stress when the turbine is started by the sequential prediction method of the heat transfer coefficient is calculated in consideration of the rotor metal temperature Tmi at the time of starting the turbine, which affects the turbine startup time. It becomes possible to do.

  Similarly, in the invention of Patent Document 1, the first stage steam temperature is estimated by two variables of the main steam pressure and the main steam temperature as a function unique to the power plant, and is not considered as a time trend due to operation conditions. On the other hand, in the first embodiment, the temperature Ts and the pressure Ps of the steam flowing into the turbine as operating conditions are held in the time trend holding means 10 as a time trend from the time of starting the turbine, and this is the first stage steam temperature prediction. This is used to predict the steam temperature Tf of the turbine first stage in the means 3.

  As a result, the operating conditions that affect the turbine startup time are defined and registered in the equipment, and the thermal stress when the turbine startup using the sequential prediction method of heat transfer coefficient is performed based on these operating conditions. Is possible.

  As described above, according to the first embodiment, the steam pressure Ps and the steam temperature Ts based on the time trend of the operation condition held in the time trend holding means 10 of the operation condition defining means 2, the initial condition holding means at the start of startup 11 is used for the calculation of the first stage metal temperature prediction by using the rotor metal temperature Tmi held at 11 to start the turbine start-up, so that the time series of the rotation increase and the power generation output increase considering the operating conditions of the turbine equipment The pattern can be obtained by simulation.

  FIG. 4 is a diagram for explaining signal switching in the case of controlling an actual turbine as another embodiment using the power generation plan support apparatus and method.

  That is, at the time of formulating the power generation plan before turbine startup, the optimal startup schedule estimation means 1 can be connected to the operation condition definition means 2 as in Embodiment 1 to estimate the startup schedule based on the specified operation conditions. . On the other hand, as in the second embodiment, the actual machine turbine using the optimum startup schedule estimation unit 1 by connecting each output contact of the optimum startup schedule estimation unit 1 to sensors and control devices attached to the actual turbine. Can be controlled.

[Configuration of Example 2]
4, reference numeral 40 is a generator, 41 is an actual turbine, 42 is a turbine start-up control device, 43 is a turbine inlet steam temperature and pressure detection sensor, 44 is a rotor metal temperature detection sensor, 45 is a generator speed and This is a power generation output detection sensor. A steam supply pipe 46 is connected to the actual turbine 41, and a control valve 47 is provided in the steam supply pipe 46. The opening / closing degree of the control valve 47 is controlled by a rotation speed / power generation output control means 48 provided in the turbine track control device 42.

  The turbine inlet steam temperature and pressure detection sensor 43 is connected to an input point 50 to the first stage steam temperature prediction means 3. The rotor metal temperature detection sensor 44 is connected as an input point 51 to the first stage metal temperature prediction means 5. The rotation speed and power generation output detection sensor 45 is connected as an input point 52 to the heat transfer coefficient prediction means 4. The output point 53 of the optimum start calculation means 7 is connected to the control valve 47 via the rotation speed / power generation output control means 48 of the turbine start control device 42.

[Operation / Effect of Example 2]
In the second embodiment having the above-described configuration, the connection points 46, 47, 48, and 49 between the actual turbine 41 and the turbine startup control device 42 and the optimum startup schedule estimation unit are configured to be switchable. Thus, in Example 2, the time trend from the operating condition control unit 2 and the initial condition at the start of startup and the transition pattern of the increase in rotation and the increase in power generation output obtained by the optimal startup calculation unit 7 are switched and obtained from these. Based on the information, the actual turbine can be controlled. As a result, it is possible to start up and control the actual turbine by seamlessly using the functions used in the power generation plan.

DESCRIPTION OF SYMBOLS 1 ... Optimal start schedule estimation means 2 ... Operation condition definition means 3 ... First stage steam temperature prediction means 4 ... Heat transfer coefficient prediction means 5 ... First stage metal temperature prediction 6 ... Thermal stress prediction means 7 ... Optimal start calculation means 8 ... w, MW integrating means 9 ... metal temperature integrating means 10 ... time trend holding means 11 ... starting condition initial condition holding means 21 ... turbine inlet steam temperature initial value 22 ... turbine inlet steam pressure initial value 23 ... turbine inlet steam temperature change Rate 24 ... Turbine inlet steam pressure change rate 25 ... Turbine inlet steam temperature maximum value 26 ... Turbine inlet steam pressure maximum value 27 ... Turbine inlet steam pressure change rate switching condition 31 ... Transition of predicted thermal stress 32 ... Thermal stress specified value 33 ... Speed increase process 34 ... Power generation output increase process 35 ... Start completion specified time 36 ... Start operation start time 40 ... Generator 41 ... Real turbine 42 ... Turbine start control device Device 43 ... Steam inlet steam temperature and pressure detection sensor 44 ... Rotor metal temperature detection sensor 45 ... Speed and power generation output detection sensor 46 ... Steam supply piping 47 ... Control valve 48 ... Speed / power generation output control means 50 ... First Input point 51 to the stage steam temperature predicting means ... Input point 52 to the first stage metal temperature predicting means ... Input point 53 to the heat transfer coefficient predicting means ... Output point of the optimal start-up calculating means

Claims (8)

The turbine state is continuously monitored along the start-up process from the stop state to the power generation state, and based on the monitoring result, the turbine rotor speed and the generator output are controlled while keeping the thermal stress of the turbine rotor within a limited range. In the power generation plan support device of the turbine generator facility that performs real-time control so as to shorten the start-up time by sequential correction control ,
Rotation that minimizes the time required to reach the power generation operation state from the turbine stop state while predicting the thermal stress generated in the turbine rotor in the prediction section extending from the current time to the future and keeping the predicted thermal stress below the specified value Optimal startup schedule estimation means for calculating the number and the generation process of power generation output,
The holding transition affecting operating conditions of thermal stress of the turbine rotor in the case of performing the real-time control along the boot process, designated as constraint this operational condition the calculation at the optimum power-on schedule estimation means Operating condition definition means to
A power generation plan support apparatus comprising: The optimum start-up schedule estimation means includes first stage steam temperature prediction means for predicting a steam temperature transition of the turbine first stage part based on the operation conditions specified by the operation condition definition means, and turbine first stage metal temperature. First stage metal temperature prediction means for predicting the transition;
Turbine start-up time while keeping the predicted thermal stress in the start-up process of rotation rise and generator output rise below the specified value based on the predicted heat stress of the turbine rotor estimated from the predicted value of the transition of the turbine first stage metal temperature Optimal start-up calculation means for calculating the transition pattern of the rotation increase and the power generation output increase in which
The power generation plan support apparatus according to claim 1, comprising:   The power generation plan according to claim 1 or 2, wherein the operation condition specified by the operation condition definition means includes a time trend from the turbine stop state to the power generation operation state regarding the steam temperature and steam pressure flowing into the turbine. Support device.   As operating conditions specified by the operating condition defining means, the steam temperature and steam pressure flowing into the turbine are limited based on the capability of the steam supply equipment corresponding to a specific stage in the middle of the turbine starting process. The power generation plan support apparatus according to any one of claims 1 to 3.   The power generation plan support apparatus according to any one of claims 1 to 4, wherein the operation condition specified by the operation condition defining means includes a turbine first stage metal temperature at the start of turbine startup.   The start operation start time calculating means for calculating the start time of the turbine start operation by designating the time to reach a predetermined generator output in the optimum start schedule estimating means. The power generation plan support apparatus according to any one of the above. The operation condition definition means and the sensor device provided in the actual turbine are connected to the optimum start schedule estimation means in a switchable manner, and the optimum start schedule estimation means is provided in the operation condition definition means and the actual turbine. Based on the information from, the transition pattern of the rotation increase and power generation output increase is estimated,
The power generation plan support apparatus according to any one of claims 1 to 6, wherein a turbine of an actual machine is controlled based on a transition pattern of a rotation increase and a power generation output increase estimated by the optimum startup schedule estimation unit. . The turbine state is continuously monitored along the start-up process from the stop state to the power generation state, and based on the monitoring result, the turbine rotor speed and the generator output are controlled while keeping the thermal stress of the turbine rotor within a limited range. In a power generation plan support method for a turbine generator facility that performs real-time control so as to shorten the start-up time by successive correction control ,
Holding the transition affecting operating conditions of thermal stress of the turbine rotor in the case of performing the real-time control along the activation process,
Based on the stored operating conditions, the thermal stress generated in the turbine rotor in the prediction section extending from the current time to the future is predicted, and the predicted thermal stress is suppressed to a specified value or less to reach the power generation operation state from the turbine stopped state. Calculate the rotation speed and power generation output increase process that takes the shortest time to
A power generation plan support method characterized by the above.

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