JPH0654598A - Monitoring control system for hydraulic power plant - Google Patents

Abstract

PURPOSE:To improve reliability in control, by executing a logic in place of an error-point logic along with the search for the cause when an abnormal state is found after a sensor signal indicating an operational state of a hydraulic turbine generator is compared with a control signal from a control unit. CONSTITUTION:A monitoring control system comprises a control unit 1 for controlling the starting/stopping of a hydraulic turbine generator, and a monitoring control unit 2 for monitoring a hydraulic power station. Each control unit 1 or 2 takes data detected by a sensor 4, which detects an operational state of a field unit 3. Through the monitoring control unit 2, output data of the sensor 4 is checked with the data of the control unit 1, and when a mismatch appears, a check operation is started for data corresponding to the abnormal part by using a plant abnormal diagnosis judgement algorithm. If an abnormal point is found in the control unit 1, the monitoring control unit 2 receives a logic corresponding to the applicable abnormal part. While the abnormal part is searched, the abnormal part is removed, and the control unit 1 is caused to generate a new logic.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a hydroelectric power plant monitoring and controlling device capable of monitoring a fault relating to a control device and equipment in a hydroelectric power plant and preventing a serious accident from occurring.

[0002]

2. Description of the Related Art Generally, most hydropower plants have poor geographical conditions at the construction site and are centrally controlled from a distance, so the responsibility imposed on the control and protection devices of the hydropower plant is important. is there.

[0003] In a hydroelectric power plant, the situation is usually grasped by daily inspection and the like, but it is very difficult to judge the inspection of the control device by daily visual inspection. Therefore, we automate this and add a diagnostic function,
There is a strong demand for prevention of failures and automatic recovery for simple failures. In particular, pumped storage power plants are liable for peak load power generation because of the quick response characteristic of hydropower to the base load of nuclear power and large-scale thermal power plants, contributing to the economic operation of the entire power system. is doing.

Further, the control device itself of a hydroelectric power plant has recently made remarkable progress, and the application of a digital control device using a microprocessor has become widespread, and a self-diagnosis function is also added to the control device itself. . Therefore,
The failure itself peculiar to each control device can be caught by some means.

[0005]

However, the self-diagnosis function provided in the conventional control device is consequential, and when an abnormality occurs, a measure such as stopping the entire plant or continuing the operation is taken. Has been limited to. Therefore, when an abnormality is once detected, the entire hydraulic power plant is once stopped, the failure location of the control device is specified, the failure location is restored, and then the operation is resumed.

The present invention has been made to eliminate the above-mentioned drawbacks of the prior art. By detecting an abnormality occurring in the control device and the controlled equipment at an early stage and taking a simple measure during the plant operation. It is intended to provide a highly reliable control system for a hydroelectric power plant.

[0007]

SUMMARY OF THE INVENTION A hydroelectric power plant monitoring and control system according to the present invention includes a control system for controlling a turbine generator;
The control device outputs the control signal output from the control device, the sensor signal transmitted from the control device, and each sensor of the water turbine generator by receiving the data of the control device and each sensor signal for detecting the operating state of the water turbine generator. Monitoring that has means for comparing and judging the signals that have been made, means for issuing an alarm when this judgment result is abnormal, means for searching the cause of occurrence of the abnormality, and means for executing the logic of the abnormal place instead. And a control device.

[0008]

According to the apparatus of the present invention having such a structure, an abnormality occurring in the control device and the controlled device (field device) is detected at an early stage, and a simple measure is taken during the operation of the plant, thereby achieving high reliability. You can get the control system of the hydropower plant.

[0009]

Embodiments of the present invention will now be described with reference to the drawings.

FIG. 1 shows a schematic structure of the device of the present invention. Reference numeral 1 is a control device for operating and stopping a turbine generator,
Reference numeral 2 denotes a supervisory control device for supervising the hydraulic power plant, which is connected to each other by a signal line for exchanging data. Further, the control device 1 and the monitoring control device 2 are respectively connected so as to output a control signal Pa to the field device 3 and obtain data Pa from a sensor 4 attached to the field device 3. The monitoring control device 2 is connected to the alarm device 5 and the recording device 6, and is configured to output an alarm signal to the alarm device 5 and output data based on an output request from the recording device 6.

In the above, as an example, when the starting control of the turbine generator (not shown) is performed, the control device 1 sequentially obtains the sensor signal and the device information from the field device 3 and outputs the operation command to the control device. 1 receives a series of controls for starting the turbine generator, and their outputs (control signals) are given to the field device 3. Thereby, for example, the governor solenoid is excited, the guide vanes are released, and the turbine generator is rotated by the inflow of water from the dam. Next, the field breaker is turned on to generate a voltage, and finally the turbine generator is put in parallel with the system. At this time, the monitoring control device 2 obtains the above-mentioned series of information by an information element independent of the control device 1, and always saves the operation data.

Next, FIG. 2 shows an example of the processing flow of the monitoring control device 2. In the figure, the monitoring control device 2 always receives the self-diagnosis information from the control device 1 (S1) and judges whether the control device 1 is abnormal or not, and when it is normal (S2 = Y), an external alarm is issued. When necessary, an alarm is output to the circuit (S3), the control signal and the sensor signal from the control device 1 to the field device 3 are received (S4), and the data are stored (S5).

Further, the monitoring control device 2 is the above-mentioned control device 1.
In addition to the signal from the sensor, the sensor signal is independently received from various sensors 4 attached to the field device 3 (S6), and the information from the control device 1 and the information received from the field device 3 are received. Check integrity. When the consistency of both these data is satisfied, the previous information stored in the monitoring control device 2 is updated. On the other hand, if the two pieces of information are not consistent with each other, a check is started by the plant abnormality diagnosis judgment algorithm using the information corresponding to the abnormal portion, and the data input from the control device 1 becomes the control device 1 itself. It is determined whether the abnormality is caused by the above or an abnormality caused by another part (S7).

As a result, when it is determined that the control device 1 is normal (S8 = Y), the data of the control device 1 and the field device 3 are saved (S12).

On the other hand, when it is judged that it is not normal (S
8 = N) outputs an alarm to the external alarm circuit as needed (S9), and the monitoring control device 2 receives the logic corresponding to the abnormal portion from the control device 1 (S10), and the abnormality in the logic occurs. Select conditions. After searching for the abnormal part, a new logic is created excluding this abnormal part. In accordance with this, the supervisory control device 2 sends a signal for performing the proxy control of the logic judged to be abnormal instead of the control device 1 to the control device 1.
(S11). The control device 1 locks the control sequence of the logic of the part determined to be abnormal by the proxy control execution signal transmitted from the monitoring control device 2. After that, the monitor control device 2 takes charge of the logic control of the abnormal portion by the newly created logic.

Further, the monitor control device 2 edits each control signal and sensor signal and saves them as an operation history (S1).
2) When there is a data output request (S13), editing is performed according to the format of the saved data (S1).
4), output to the recording device 6 (S15).

Next, FIG. 3 shows an example of the configuration of the plant abnormality diagnosis algorithm described in FIG. This plant abnormality diagnosis algorithm is based on the starting process plant diagnosis algorithm (A1), the load control plant diagnosis algorithm (A2), the reactive power control plant diagnosis algorithm (A3), the stop process plant diagnosis algorithm (A4), etc. of the turbine generator. Then, the data of each control signal and sensor signal is received, and the consistency of control is judged.

As an example of the plant abnormality diagnosis algorithm, a load control plant diagnosis algorithm (A2) will be described with reference to FIGS. 1, 4 and 5. In the load control of the water turbine generator, the control device 1 receives the load control command Pt, inputs the output Pa ′ of the main engine currently in operation from the sensor 4, and outputs the difference between these signals (| Pt−Pa ′ | ) Is output as pulse control output signals Ppa, Ppb, Ppc, and the load control field device 3 is driven to perform output control of the hydroelectric power station in accordance with the load command.

On the other hand, the supervisory controller 2 receives a load control command Pt and pulse control output signals Ppa, Ppb, Pp from the controller 1.
c, and the dead zone signal ε. The monitoring control device 2 detects the rise of the pulse control output signal and monitors the presence or absence of control. Next, the actual output signal Pa ″ of the water turbine generator is fetched from the sensor signal of the field device 3 and the judgment algorithm of FIG. 5 is executed to judge whether or not the load control is normally executed.

In FIG. 5, there is a change in the control command (S2
When 0 = Y), it is determined whether or not the control output is in progress (S2
1) When the control output is being performed, the data being controlled is updated and saved (S22). When control output is not in progress (S21 =
N) executes the operation of step (S23).

Here, the output varying with the pulse control output signal Ppa is ΔPppa, the output varying with the pulse control output signal Ppb is ΔPppb, the output varying with the pulse control output signal Ppc is ΔPppc, and the load command value is Pt1.
When the load command value is Pt2, the actual output values are Pa1 'and Pa1''respectively, and the actual output values are Pa2' and Pa2 '' respectively, and the sensor input Pa1 when the series of pulse control is completed. If Pa ″ and Pa2 ″ are Pa1 and Pa2, respectively, the following equation holds.

[Delta] Pppa + [Delta] Pppb + [Delta] Pppc = [Delta] Pa + [epsilon] ... (A) | Pt2-Pa2 | = [Delta] Pa + [epsilon] ... (B) [Delta] Pa = | Pa2-Pa1 | ... (C) When the expression is satisfied, it is determined that the control of the control device 1 is normally performed (S25). If the expression (A) is not satisfied and the following expression | Pt2−Pa2 | <ΔPa + ε ... (B ′) holds, it means that the control device 1 has performed overcontrol (S26). It is determined that the sensor is abnormal (S27), and the monitoring control device 2 immediately receives the logic related to the load control of the control device 1 from the control device 1, and builds the same load control logic in the monitoring control device 2. from then,
The control device 1 locks the load control logic transmitted to the monitoring control device 2, and the actual load control is controlled by the monitoring control device 2 according to the load control logic in the monitoring control device 2. At this time, of course, an alarm process is performed on the external alarm circuit to notify the operator of the abnormality.

If expression (A) is not satisfied and | Pt2−Pa2 |> ΔPa + ε ... (B ″) (S28 = N), it is determined that control congestion has occurred (S29), and the site As the abnormality (S30) of the device 3, the same treatment as described above is performed.

As described above, in the load control judgment algorithm, it is possible to judge whether the plant control system is abnormal by always judging the control status of the control device 1.

Other plant diagnosis algorithms are also
It is composed of an algorithm for judging an abnormality of the control device 1 by a similar method. Further, the instantaneous data is stored in the monitor control device 2, and the data can be edited and output to the outside according to the request, so that the plant maintenance and easiness can be remarkably improved.

[0026]

According to the present invention, the control state of the plant can always be judged by the judgment algorithm installed in the supervisory controller 2, the plant abnormality can be detected early, and the operation can be continued without stopping the turbine generator. It becomes possible to provide an operation monitoring control system for a hydroelectric power plant.

[Brief description of drawings]

FIG. 1 is a block diagram showing a configuration example of a hydraulic power plant monitoring control device of the present invention.

FIG. 2 is a flowchart explaining the operation of the device of the present invention.

FIG. 3 is a configuration diagram of a plant abnormality diagnosis algorithm in the device of the present invention.

FIG. 4 is a graph illustrating the operation of a load control plant diagnosis algorithm.

5 is a flow chart illustrating the load control plant diagnostic algorithm of FIG.

[Explanation of symbols]

 1 ... Control device 2 ... Monitoring control device 3 ... Field device 4 ... Sensor 5 ... Alarm device 6 ... Recording device

Claims (1)

[Claims] 1. A control device for executing control of a water turbine generator; data of this control device and sensor signals for detecting an operating state of the water turbine generator, and a control signal output from the control device and the control. Means for comparing and judging the sensor signal transmitted from the device and the signal received from each sensor of the water turbine generator, means for searching the cause of occurrence of the abnormality when the result of this judgment is abnormal, and logic for the location of the abnormality. And a monitoring control device having means for executing the above.