JP7330249B2 - Hydroelectric power station operation support device and hydroelectric power station operation support method - Google Patents

Description

TECHNICAL FIELD Embodiments of the present invention relate to a hydroelectric power station operation support device and a hydroelectric power station operation support method.

Power generation plans for hydroelectric power plants have traditionally been prepared using operation manuals and human judgment based on the conditions of power plant equipment, current dam discharge, dam water level, rainfall, future rainfall forecasts, past experience, etc. It is It is difficult to optimize the power generation of the hydroelectric power plant according to the weather conditions and dam conditions in the power generation plan created by such a human method.

Japanese Patent No. 6330982

The problem to be solved by the present invention is to provide a hydroelectric power plant operation support device and a hydroelectric power plant operation support method capable of optimizing power generation of a hydroelectric power plant according to weather conditions and dam conditions. be.

A hydroelectric power plant operation support device according to one embodiment is a hydroelectric power plant operation support device that supports the operation of one or more hydroelectric power plants that generate power using discharged water from one or more dams. This hydroelectric power plant operation support device includes a forecast data input unit that acquires weather forecast data, and at least one of measured values of the output power of the hydroelectric power plant, the flow rate of discharged water, and the flow rate of a river connected to the dam. A measurement data input unit that acquires measurement data, a recording unit that records weather forecast data and measurement data, and a predicted value of inflow into a dam is calculated using the weather forecast data and measurement data recorded in the recording unit. A dam inflow calculation unit and an optimization calculation unit that performs calculation processing for optimizing power generation of the hydroelectric power plant based on the predicted value of the dam inflow and the water level of the dam.

According to this embodiment, it is possible to optimize the power generation of the hydroelectric power plant according to the weather conditions and the state of the dam.

BRIEF DESCRIPTION OF THE DRAWINGS It is a block diagram which shows the structure of the hydraulic power station operation support apparatus which concerns on 1st Embodiment. It is a figure which shows an example of a connection water system. It is a flowchart which shows the operation|movement procedure of the hydroelectric power station operation support apparatus which concerns on 1st Embodiment. It is a block diagram which shows the structure of the hydroelectric power station operation support apparatus which concerns on 2nd Embodiment. FIG. 11 is a block diagram showing the configuration of a hydroelectric power plant operation support device according to a third embodiment; It is a block diagram which shows the structure of the hydraulic power station operation support apparatus which concerns on 4th Embodiment. FIG. 11 is a block diagram showing the configuration of a hydroelectric power plant operation support device according to a fifth embodiment; FIG. 11 is a block diagram showing the configuration of a hydroelectric power station operation support device according to a sixth embodiment; FIG. 11 is a block diagram showing the configuration of a hydroelectric power plant operation support device according to a seventh embodiment; FIG. 12 is a block diagram showing the configuration of a hydroelectric power plant operation support device according to an eighth embodiment; It is a block diagram which shows the structure of the hydroelectric power station operation support apparatus which concerns on 9th Embodiment. FIG. 14 is a block diagram showing the configuration of a hydroelectric power station operation support device according to a tenth embodiment;

Embodiments of the present invention will be described below with reference to the drawings. The following embodiments do not limit the invention.

(First embodiment)
FIG. 1 is a block diagram showing the configuration of a hydroelectric power plant operation support device according to the first embodiment. A hydroelectric power plant operation support device 1 shown in FIG. 1 is a device for supporting the operation of a plurality of hydroelectric power plants installed in a connecting water system. Here, with reference to FIG. 2, the connecting water system will be briefly described.

FIG. 2 is a diagram showing an example of a connected water system. In this connecting water system, dams D1 to D6 and hydroelectric power plants G1 to G6 are provided in multiple stages from upstream to downstream of the river L. Dams D1 to D6 form reservoirs R1 to R6, respectively. Each dam discharges the water of each reservoir to a tributary of the river L and a conduit pipe P.

The water discharged into the tributaries of the river L is stored in a reservoir on the downstream side. For example, water discharged from the dam D1 into a tributary of the river L is stored in the reservoir R2. On the other hand, the water discharged to the water conduit iron pipe P is supplied to the hydroelectric power plants G1 to G6. Each hydroelectric power station generates electricity with discharged water supplied from each dam through the water conduit iron pipe P. The water used for power generation is stored in a reservoir on the downstream side through the water conduit P.

A hydroelectric power plant operation support device 1 according to this embodiment supports the operation of hydroelectric power plants G1 to G6. Here, returning to FIG. 1, the configuration of the hydroelectric power plant operation support device 1 according to the present embodiment will be described. A hydroelectric power station operation support device 1 shown in FIG. Each part will be described below.

The forecast data input unit 20 acquires weather forecast data at a predetermined cycle. The forecast data input unit 20 generates forecast data generated by, for example, the Global Forecast System (GFS) of the National Center for Environmental Prediction (NCEP) in the United States, or Weather Research and Forecasting (WRF), which is one of the numerical weather models. obtained as weather forecast data. The weather forecast data acquired by the forecast data input unit 20 may include, for example, weather forecast data provided by the Japan Meteorological Agency in addition to the above data. Note that the forecast data input unit 20 may acquire the analyzed rainfall in addition to the forecast data. The analytical rainfall here refers to the estimated rainfall at the present time calculated by analyzing the results of the weather radar provided by the Japan Meteorological Agency.

The measurement data input unit 30 inputs at least one of the output power of the hydroelectric power plants G1 to G6, the amount of discharged water from the dams D1 to D6, and the flow rate of the river L connected to the dams D1 to D6 at a predetermined cycle. Acquire measurement data including The output power of the hydroelectric power plants G1 to G6 can be measured with a wattmeter installed at each hydroelectric power plant. The amount of discharged water from dams D1 to D6 can be measured by a water meter installed at each dam. The flow rate of the river L can be measured by a flow meter installed in the river L. In addition to the above data, the measured data may include measured values such as the amount of rainfall and snowfall around the dams D1 to D6 and the water levels of the dams D1 to D6.

The recording unit 40 records the weather forecast data acquired by the forecast data input unit 20 and the measurement data acquired by the measurement data input unit 30 . In the recording unit 40, the weather forecast data is updated to the latest data corresponding to the data acquisition cycle of the forecast data input unit 20, and the measurement data is updated to the latest data corresponding to the data acquisition cycle of the measurement data input unit 30. be done.

The dam inflow calculation unit 50 has a rainfall prediction function 51 and an inflow prediction function 52 . In the dam inflow calculation unit 50, all or part of each function may be implemented as hardware or may be implemented as software.

The rainfall prediction function 51 uses the weather forecast data recorded in the recording unit 40 to predict the rainfall in catch areas, which are predetermined rainfall prediction target areas for each dam. The catch area is an area where rainfall flows into the river L, and is an area bounded by a mountain ridgeline, for example. For example, in winter, the rainfall prediction function 51 may predict the amount of snowfall flowing into each catch area in addition to the amount of rainfall.

The inflow prediction function 52 uses the measurement data recorded in the recording unit 40 and the predicted rainfall amount of the rainfall prediction function 51 to calculate the predicted value of the amount of water flowing into each dam. If the rainfall amount prediction function 51 also predicts the amount of snowfall, the inflow amount prediction function 52 also uses the predicted amount of snowfall to calculate the predicted value.

The optimization calculation unit 60 has an HMI input processing function 61 , a model creation function 62 , an optimization solver function 63 , a result storage processing function 64 and an HMI output processing function 65 . All or part of each function in the optimization calculation unit 60 may be realized as hardware or as software.

The HMI input processing function 61 receives an interactive input indicating operation details input by a user or the like of the hydroelectric power station operation support device 1 . Also, the HMI input processing function 61 outputs a predetermined command to the model creation function 62 according to the received interactive input.

The model creation function 62 creates an optimization model formula for optimizing the power generation of each hydroelectric power plant, using the above command as a trigger. At this time, the model creation function 62 creates an optimization model formula using the predicted value of the amount of water flowing into each dam calculated by the inflow prediction function 52 .

The optimization solver function 63 performs arithmetic processing to find the solution of the optimization model formula created by the model creation function 62 . The solution obtained by the optimization solver function 63 is optimization data that indicates various parameters for optimizing the power generation of each hydroelectric power plant.

A result storage processing function 64 temporarily stores the optimization data.

The HMI output processing function 65 outputs the optimization data saved in the result saving processing function 64 . For example, the HMI output processing function 65 outputs a URL (Uniform Resource Locator) for accessing optimization data as an interactive output. The optimization data is sent to an information processing device used, for example, by a supervisor at each hydroelectric power plant. In this case, the monitoring staff can obtain the optimization data of the monitored hydroelectric power plant by accessing the URL.

Next, the operation of the hydroelectric power plant operation support device 1 according to this embodiment will be described with reference to FIG. FIG. 3 is a flow chart showing the operation procedure of the hydroelectric power plant operation support device 1 according to the first embodiment.

First, the forecast data input unit 20 acquires weather forecast data from an external organization such as the Meteorological Agency of the United States or Japan (step S1).

Subsequently, the measurement data input unit 30 acquires measurement data measured by measuring instruments installed at the hydroelectric power stations G1 to G6, the dams D1 to D6, the river L, and the like (step S2). In the present embodiment, the measurement data input unit 30 acquires the measurement data following acquisition of the weather forecast data by the forecast data input unit 20, but the order of data acquisition is not particularly limited. Therefore, the measurement data may be acquired before the weather forecast data, or may be acquired simultaneously with the weather forecast data.

Subsequently, the recording unit 40 records the weather forecast data acquired by the forecast data input unit 20 and the measurement data acquired by the measurement data input unit 30 (step S3). Note that the order in which the weather forecast data and measurement data are recorded in the recording unit 40 is not particularly limited. Therefore, the weather forecast data and the measurement data may be recorded in the recording unit 40 at the same time, or may be recorded in the recording unit 40 at different times.

Next, the dam inflow calculation unit 50 uses the weather forecast data and measurement data recorded in the recording unit 40 to calculate the predicted value of the amount of water flowing into each dam (step S4). Here, step S4 will be described.

In step S4, first, the rainfall prediction function 51 of the dam inflow calculation unit 50 predicts the rainfall in the catch area of each dam. The dam inflow calculation unit 50 generates weather forecast data for each point in the catch area by, for example, calculating the above-described GFS weather forecast data using the above-described WRF weather model. At this time, the dam inflow calculation unit 50 tunes the amount of precipitation and the amount of snowfall at each point using forecast data from the Meteorological Agency. Note that the rainfall prediction method is not limited to the method described above. For example, the rainfall prediction function 51 may predict the rainfall in the catch area of each dam by arithmetic processing using AI (Artificial Intelligence).

After the rainfall prediction function 51 predicts the rainfall, the inflow prediction function 52 predicts the inflow to the reservoir of each dam. The inflow prediction function 52 predicts, for example, based on at least one of the output power of each hydroelectric power plant, the water discharge amount of each dam, and the flow rate of the river L shown in the recording unit measurement data. The output power of each hydroelectric power plant corresponds to the amount of water discharged from the conduit iron pipe P to the downstream reservoir recorded at 40 . Therefore, the inflow to the reservoir can be predicted based on the output power of each hydroelectric power plant. In addition, by adding the amount of rainfall predicted by the rainfall amount prediction function 51 to the discharge amount of each dam and the flow rate of the river L measured several hours before, it is possible to predict the amount of inflow into the reservoir several hours later. can. Note that the method of predicting the amount of inflow is not limited to the method described above. For example, the inflow prediction function 52 may predict the inflow to the reservoir of each dam by machine learning using as input data the predicted rainfall amount and temperature measurement data at each point in the catch area.

After the inflow prediction function 52 predicts the inflow into the reservoir of each dam, the optimization calculation unit 60 subsequently performs calculation processing to optimize the power generation of each hydroelectric power plant (step S5). Here, step S5 will be described.

In step S5, first, the model creation function 62 creates an optimization model formula using a command from the HMI input processing function 61 as a trigger. At this time, the model creation function 62 realizes maximization of the power generation of each hydroelectric power plant under the constraint condition of, for example, minimizing the frequency of disconnection and minimizing the deviation of the dam water level from the standard water level. Create the objective function formula for the optimization model formula.

The above constraints include, for example, a constraint indicating the PQ characteristic indicating the relationship between the output power and the amount of water used in the generator, a constraint indicating the relationship between the amount of water stored in the dam and the amount of inflow and outflow, and each dam Constraints such as landing delay characteristics of the waterway connected to the reservoir are included.

As described above, when the model creation function 62 creates the optimization model formula, the optimization solver function 63 then numerically calculates the optimization model formula to obtain a solution. This solution is optimization data that indicates the optimum solution that maximizes the total power generation of the hydroelectric power plants G1 to G6 connected to the river system under the above constraint conditions. This optimization data is output by the HMI output processing function 65 after being stored in the result storage processing function 64 .

According to the present embodiment described above, the dam inflow calculation unit 50 predicts the rainfall in the catch area of each dam, and predicts the inflow of each dam based on this rainfall prediction. Furthermore, the optimization calculation unit 60 performs calculation processing for optimizing the power generation of each power plant using the prediction result of the inflow amount. In this way, the hydroelectric power plant operation support device 1 according to the present embodiment consistently performs everything from rainfall prediction to power generation optimization processing of each power plant. Therefore, the power generation plan created based on the calculation result of this hydroelectric power plant operation support device 1 is superior to the power generation plan created by a human method based on past experiences. Therefore, it becomes possible to optimize the power generation of the hydroelectric power plant according to the weather conditions and the state of the dam.

In this embodiment, the recording unit 40 stores the prediction result of the rainfall prediction function 51, the prediction result of the inflow prediction function 52, the saved data of the result saving processing function 64, and the result of the optimization calculation shown in FIG. etc. may also be recorded. In this case, as a configuration of the HMI output processing function 65, in addition to the above-described optimization data, the analyzed rainfall and the predicted flow rate stored in the recording unit 40 are referred to, and these are also output. can be

(Second embodiment)
FIG. 4 is a block diagram showing the configuration of a hydroelectric power station operation support device according to the second embodiment. In this embodiment, the same reference numerals are given to the same components as in the first embodiment, and detailed description thereof is omitted.

In the above-described first embodiment, each of the forecast data input unit 20 to the optimization calculation unit 60 is collectively provided in one device. On the other hand, in the hydroelectric power plant operation support device 2 according to the present embodiment, each of the forecast data input unit 20 to the optimization calculation unit 60 is connected to each other via the network 100, as shown in FIG. In this embodiment, all of the forecast data input unit 20 to the optimization calculation unit 60 need not be connected to each other via the network 100. FIG. A part of the forecast data input unit 20 to the optimization calculation unit 60 (for example, the recording unit 40) may be connected to the rest of the components via a network. In this case, the remaining components are collectively arranged in the same manner as in the first embodiment.

Also in this embodiment, the power generation of each power plant is optimized according to the flowchart shown in FIG. 3, as in the first embodiment described above. Therefore, also in the present embodiment, the hydroelectric power plant operation support device 2 consistently performs everything from rainfall prediction to power generation optimization processing of each power plant. Therefore, it is possible to optimize the power generation of the hydroelectric power plant according to the weather conditions and the state of the dam without relying on human methods such as past experience.

In addition, in this embodiment, since the device is cloud-based, that is, the forecast data input unit 20 to the optimization calculation unit 60 are connected via the network 100, each unit can be arranged in a distributed manner. Thereby, the processing load of the device can also be distributed.

(Third embodiment)
FIG. 5 is a block diagram showing the configuration of a hydroelectric power station operation support device according to the third embodiment. Also in this embodiment, the same reference numerals are given to the same constituent elements as in the first embodiment, and detailed description thereof will be omitted.

As shown in FIG. 5 , in the hydroelectric power plant operation support device 3 according to the present embodiment, the dam inflow calculation unit 50 further has a model update function 53 . Based on the measurement data recorded in the recording unit 40, the model updating function 53 updates the model formula showing the relationship between the amount of rainfall in the catch area of each dam and the amount of water flowing into the reservoir of each dam.

The inflow prediction function 52 uses the model formula updated by the model update function 53 to predict the water flow to the reservoir of each dam. After that, as in the first embodiment, the optimization calculation unit 60 executes calculation processing for optimizing the power generation of each hydroelectric power station based on the predicted value of the water flow rate.

In this embodiment, the values of the measurement data recorded in the recording unit 40 are updated every data acquisition cycle of the measurement data input unit 30 . Before and after updating the measurement data, the relationship between the amount of rainfall and the amount of water flow may change. Therefore, by updating the model formula based on the latest measurement data by the model update function 53 as in the present embodiment, this model formula expresses the relationship between the amount of rainfall and the amount of water flow in a more realistic manner. become a thing.

Therefore, according to this embodiment, the prediction accuracy of the inflow prediction function 52 is improved. As a result, it is possible to more accurately predict the water storage state of each dam, so that it is possible to perform calculation processing for optimizing the power generation of each hydroelectric power plant with higher accuracy.

(Fourth embodiment)
FIG. 6 is a block diagram showing the configuration of a hydroelectric power plant operation support device according to the fourth embodiment. The same components as those of the hydroelectric power station operation support device 3 according to the third embodiment described above are denoted by the same reference numerals, and detailed description thereof will be omitted.

As shown in FIG. 6 , in the hydroelectric power plant operation support device 4 according to this embodiment, the optimization calculation unit 60 further has a data synthesizing function 66 . The data synthesizing function 66 replaces part of the inflow prediction data predicted by the inflow prediction function 52 with the measurement data recorded in the recording unit 40 .

For example, at a certain time t1 (eg, 5:40), the dam inflow calculation unit 50 predicts the inflow for the first planning period (6:00 to 12:30) at certain time intervals (eg, 30-minute intervals), Assume that the optimization calculation unit 60 calculates the power generation amount during the first planning period based on the prediction of the dam inflow calculation unit 50 at the above time intervals. After that, at time t2 (for example, 9:40) in the middle of the first planning period, the dam inflow calculation unit 50 predicted the inflow for the second planning period (for example, 10:00 to 14:30) at certain time intervals. and Subsequently, when the optimization calculation unit 60 calculates the power generation amount during the second planning period at the above-mentioned time intervals, data before the second planning period, such as water landing delays and changes in the water level of the dam, are not available in the connecting water system. may be required.

Therefore, in this embodiment, the data synthesizing function 66 acquires the previous data predicted by the dam inflow calculation unit 50 with respect to the data before the second planning period by the measurement data input unit 30 and stores it in the recording unit 40. Replace with recorded measurement data. That is, the data synthesizing function 66 performs a process of synthesizing actual data and forecast data. The synthesized data is transmitted to model building function 62 . A model creation function 62 creates an optimization model formula based on the transmitted synthetic data. After that, the optimization solver function 63 obtains the solution of the optimization model formula as in the first embodiment.

According to the present embodiment described above, actual data is included in part of the data for predicting the amount of inflow into the reservoir of each dam. Therefore, the prediction accuracy of the inflow is improved. As a result, it is possible to more accurately predict the water storage state of each dam, so that it is possible to perform calculation processing for optimizing the power generation of each hydroelectric power plant with higher accuracy.

(Fifth embodiment)
FIG. 7 is a block diagram showing the configuration of a hydroelectric power plant operation support device according to the fifth embodiment. The same components as those of the hydroelectric power station operation support device 4 according to the fourth embodiment described above are denoted by the same reference numerals, and detailed descriptions thereof are omitted.

As shown in FIG. 7 , in the hydroelectric power plant operation support device 5 according to the present embodiment, the forecast data input unit 20 has a fixed time processing function 21 . The scheduled time processing function 21 sets the time to acquire the weather forecast data. Weather forecast data is acquired by the forecast data input unit 20 at the scheduled time set by the scheduled time processing function 21 . The acquired weather forecast data is recorded in the recording unit 40 . This updates the weather forecast data. Subsequent processing is the same as in the above-described fourth embodiment, so description thereof will be omitted.

According to the present embodiment described above, the forecast data input unit 20 acquires the weather forecast data at regular times, so the weather forecast data recorded in the recording unit 40 is periodically updated. Therefore, the dam inflow calculator 50 can predict the inflow to the reservoir of each dam using the latest weather forecast data. This improves the prediction accuracy of the inflow amount. Therefore, it is possible to highly accurately perform power generation optimization calculation processing based on the prediction of the inflow amount.

(Sixth embodiment)
FIG. 8 is a block diagram showing the configuration of a hydroelectric power plant operation support device according to the sixth embodiment. The same components as those of the hydroelectric power plant operation support device 1 according to the first embodiment described above are denoted by the same reference numerals, and detailed description thereof will be omitted.

As shown in FIG. 8 , in the hydroelectric power plant operation support device 6 according to this embodiment, the forecast data input unit 20 has a data synthesizing function 22 . The data synthesizing function 22 synthesizes a plurality of weather forecast data with different forecast periods. For example, suppose that the forecast data input unit 20 acquires first weather forecast data and second weather forecast data. The forecast period of the first weather forecast data is short. The forecast period of the second weather forecast data is a long period longer than the forecast period of the first weather forecast data.

In the above case, it is considered that the first weather forecast data has higher forecast accuracy than the second weather forecast data in a short period of the forecast period. Also, long-term data does not exist in the first weather forecast data.

Therefore, in this embodiment, the data synthesizing function 22 uses the first weather forecast data for the short term and the second weather forecast data for the long term with respect to the first weather forecast data and the second weather forecast data. do. The synthesized weather forecast data is recorded in the recording section 40 . This weather forecast data is used for rainfall prediction by the rainfall prediction function 51 of the dam inflow calculation unit 50, as in the first embodiment.

Moreover, in this embodiment, the optimization calculation unit 60 further has a data synthesizing function 66 . The data synthesizing function 66 replaces part of the inflow prediction data predicted by the inflow prediction function 52 with the measurement data recorded in the recording unit 40, as described in the fourth embodiment. After that, the model creating function 62 creates an optimization model formula based on the data synthesized by the data synthesizing function 66 . Then, the optimization solver function 63 obtains the solution of this optimization model formula to calculate the optimum value of the power generation amount of each hydroelectric power plant.

In this embodiment, when a plurality of weather forecast data with different forecast periods are acquired by the forecast data input unit 20, the data synthesizing function 22 determines the weather forecast data to be recorded in the recording unit 40 according to the forecast period. . Therefore, for example, the weather forecast data is switched to the optimum weather forecast data for overlapping forecast periods, thereby improving the accuracy of the weather forecast data. This also improves the prediction accuracy of inflow using weather forecast data.

Further, in this embodiment, part of the data obtained by predicting the amount of inflow into the reservoir of each dam by the data synthesizing function 66 of the optimization calculation unit 60 includes actual data. Therefore, the prediction accuracy of the inflow is further improved.

Therefore, according to the present embodiment, it is possible to more accurately predict the water storage state of each dam, so that it is possible to perform calculation processing for optimizing the power generation of each hydroelectric power station with even higher accuracy.

Particularly in this embodiment, the recording unit 40 records data extracted by the data synthesizing function 22 instead of recording all of the plurality of forecast data acquired by the forecast data input unit 20 . Therefore, the recording capacity of the recording unit 40 can be saved.

(Seventh embodiment)
FIG. 9 is a block diagram showing the configuration of a hydroelectric power plant operation support device according to the seventh embodiment. The same components as those of the hydroelectric power plant operation support device 6 according to the sixth embodiment described above are denoted by the same reference numerals, and detailed description thereof will be omitted.
As shown in FIG. 9 , in the hydroelectric power plant operation support device 7 according to this embodiment, a data synthesizing function 54 is provided in the dam inflow calculator 50 instead of the data synthesizing function 22 . The data synthesizing function 54 synthesizes a plurality of weather forecast data with different forecast periods recorded in the recording unit 40 .

In the sixth embodiment described above, the data synthesizing function 22 provided in the forecast data input unit 20 synthesizes a plurality of weather forecast data with different forecast periods before being recorded in the recording unit 40 . In contrast, in this embodiment, the data synthesizing function 54 synthesizes a plurality of weather forecast data already recorded in the recording unit 40 .

In this embodiment, when the forecast data input unit 20 acquires the first weather forecast data and the second weather forecast data described in the sixth embodiment, each weather forecast data is recorded in the recording unit 40 .

Next, when the data synthesizing function 54 reads the first weather forecast data and the second weather forecast data from the recording unit 40, the first weather forecast data is read for a short period of time, and the second weather forecast data is read for a long period of time. , to synthesize the read data. The synthesized weather forecast data is transmitted to the rainfall forecast function 51 .

The rainfall prediction function 51 predicts rainfall in each catch area based on the weather forecast data transmitted from the data synthesizing function 54 . Subsequently, the inflow prediction function 52 predicts the inflow to each dam reservoir using the prediction data of the rainfall prediction function 51 and the measurement data recorded in the recording unit 40 . A part of the inflow prediction data predicted by the inflow prediction function 52 is replaced with the measurement data recorded in the recording unit 40 by the data synthesizing function 66 as in the sixth embodiment. After that, the model creating function 62 creates an optimization model formula based on the data synthesized by the data synthesizing function 66 . Then, the optimization solver function 63 obtains the solution of this optimization model formula to calculate the optimum value of the power generation amount of each hydroelectric power plant.

In this embodiment, when a plurality of weather forecast data with different forecast periods are acquired by the forecast data input unit 20, the data synthesizing function 54 determines the weather forecast data to be used for rainfall forecasting according to the forecast period. . Therefore, for example, the weather forecast data is switched to the optimum weather forecast data for overlapping forecast periods, thereby improving the accuracy of the weather forecast data. This also improves the prediction accuracy of inflow using weather forecast data.

Further, in this embodiment, part of the data obtained by predicting the amount of inflow into the reservoir of each dam by the data synthesizing function 66 of the optimization calculation unit 60 includes actual data. Therefore, the prediction accuracy of the inflow is further improved.

Therefore, according to the present embodiment, as in the sixth embodiment, it is possible to more accurately predict the water storage state of each dam, so that the arithmetic processing for optimizing the power generation of each hydroelectric power plant can be performed even more efficiently. It can be done with precision.

(Eighth embodiment)
FIG. 10 is a block diagram showing the configuration of a hydroelectric power plant operation support device according to the eighth embodiment. The same components as those of the hydroelectric power station operation support device 5 according to the fifth embodiment described above are denoted by the same reference numerals, and detailed description thereof will be omitted.

As shown in FIG. 10 , in the hydroelectric power plant operation support device 8 according to this embodiment, the model creation function 62 of the optimization calculation unit 60 has a shutdown plan reflection function 621 . The outage plan reflection function 621 reflects in the optimization model formula the operation outage period of a dam, a generator of a hydroelectric power plant, or a waterway (iron pipe P).

For example, power cannot be generated during the maintenance period of the generator. Therefore, the model creation function 62 incorporates this maintenance period into the optimization model formula as a constraint. After that, the optimization solver function 63 obtains the solution of this optimization model formula, thereby making it possible to plan the optimization of power generation in consideration of the maintenance period.

According to the present embodiment described above, power generation can be optimized according to the operating conditions of the generator and the like.

(Ninth embodiment)
FIG. 11 is a block diagram showing the configuration of a hydroelectric power station operation support device according to the ninth embodiment. The same components as those of the hydroelectric power station operation support device 5 according to the fifth embodiment described above are denoted by the same reference numerals, and detailed description thereof will be omitted.

As shown in FIG. 11 , in the hydroelectric power plant operation support device 9 according to the present embodiment, the model creation function 62 of the optimization calculation unit 60 has a power sales revenue maximization function 622 . The power sales profit maximization function 622 reflects the power sales profit in the optimization model formula.

Electricity selling prices may fluctuate seasonally or on a monthly basis. Therefore, the model creation function 62 creates an optimization model formula that maximizes the total amount of power generation and power sales profit of each power plant under the constraint conditions. After that, the optimization solver function 63 obtains the solution of this optimization model formula, thereby planning the optimization of power generation in consideration of the profit from selling electricity.

According to the present embodiment described above, it is possible to optimize power generation according to the selling price of electricity.
(Tenth embodiment)
FIG. 12 is a block diagram showing the configuration of a hydroelectric power plant operation support device according to the tenth embodiment. The same components as those of the hydroelectric power station operation support device 5 according to the fifth embodiment described above are denoted by the same reference numerals, and detailed description thereof will be omitted.
As shown in FIG. 12 , in the hydroelectric power station operation support device 10 according to this embodiment, the model creation function 62 of the optimization calculation unit 60 has a demand prediction function 623 . The demand prediction function 623 acquires power demand prediction data from the outside and reflects it in the optimization model formula.
Power demand may fluctuate depending on the season and time of day. For this reason, the model creation function 62 adds, for example, the power demand for each time period indicated in the power demand forecast data to one of the constraints, and creates an optimization model formula that maximizes the total power generation of each power plant. create. After that, the optimization solver function 63 can plan the optimization of power generation considering the power demand by obtaining the solution of this optimization model formula.

According to the present embodiment described above, it is possible to optimize power generation according to power demand.

Note that the hydroelectric power station operation support apparatus described in each of the above-described embodiments targets a plurality of hydroelectric power stations installed in a connecting water system as operation support targets. However, the operation assistance target of the hydroelectric power plant operation support device according to each embodiment may be one hydroelectric power plant.

Although several embodiments have been described above, these embodiments are provided by way of example only and are not intended to limit the scope of the invention. The novel system described herein can be implemented in various other forms. Also, various omissions, substitutions, and modifications may be made to the form of the system described herein without departing from the spirit of the invention. The appended claims and their equivalents are intended to cover such forms and modifications as fall within the scope and spirit of the invention.

1 to 10: hydroelectric power plant operation support device 20: forecast data input unit 30: measurement data input unit 40: recording unit 50: dam inflow calculation unit 60: optimization calculation unit

Claims (10)

A hydroelectric power plant operation support device for supporting the operation of one or more hydroelectric power plants that generate power with water discharged from one or more dams,
a forecast data input unit that acquires weather forecast data;
a measurement data input unit that acquires measurement data including at least one of measured values of the output power of the hydroelectric power plant, the flow rate of the discharged water, and the flow rate of a river connected to the dam;
a recording unit that records the weather forecast data and the measurement data;
a dam inflow calculation unit that calculates a predicted value of the inflow of the dam using the weather forecast data and the measurement data recorded in the recording unit;
an optimization calculation unit that performs calculation processing for optimizing power generation of the hydroelectric power plant based on the predicted value of the inflow of the dam and the water level of the dam;
with
The dam inflow calculation unit updates a model formula for calculating the predicted value based on the measurement data . A hydroelectric power plant operation support device for supporting the operation of one or more hydroelectric power plants that generate power with water discharged from one or more dams,
a forecast data input unit that acquires weather forecast data;
a measurement data input unit that acquires measurement data including at least one of measured values of the output power of the hydroelectric power plant, the flow rate of the discharged water, and the flow rate of a river connected to the dam;
a recording unit that records the weather forecast data and the measurement data;
a dam inflow calculation unit that calculates a predicted value of the inflow of the dam using the weather forecast data and the measurement data recorded in the recording unit;
an optimization calculation unit that performs calculation processing for optimizing power generation of the hydroelectric power plant based on the predicted value of the inflow of the dam and the water level of the dam;
with
A hydroelectric power plant operation support device, wherein the optimization calculation unit replaces a part of the predicted value with the measurement data and performs the calculation process. A hydroelectric power plant operation support device for supporting the operation of one or more hydroelectric power plants that generate power with water discharged from one or more dams,
a forecast data input unit that acquires weather forecast data;
a measurement data input unit that acquires measurement data including at least one of measured values of the output power of the hydroelectric power plant, the flow rate of the discharged water, and the flow rate of a river connected to the dam;
a recording unit that records the weather forecast data and the measurement data;
a dam inflow calculation unit that calculates a predicted value of the inflow of the dam using the weather forecast data and the measurement data recorded in the recording unit;
an optimization calculation unit that performs calculation processing for optimizing power generation of the hydroelectric power plant based on the predicted value of the inflow of the dam and the water level of the dam;
with
A hydroelectric power plant operation support device, wherein the forecast data input unit acquires a plurality of weather forecast data with different forecast periods, switches the acquired plurality of weather forecast data according to the forecast period, and records them in the recording unit. . A hydroelectric power plant operation support device for supporting the operation of one or more hydroelectric power plants that generate power with water discharged from one or more dams,
a forecast data input unit that acquires weather forecast data;
a measurement data input unit that acquires measurement data including at least one of measured values of the output power of the hydroelectric power plant, the flow rate of the discharged water, and the flow rate of a river connected to the dam;
a recording unit that records the weather forecast data and the measurement data;
a dam inflow calculation unit that calculates a predicted value of the inflow of the dam using the weather forecast data and the measurement data recorded in the recording unit;
an optimization calculation unit that performs calculation processing for optimizing power generation of the hydroelectric power plant based on the predicted value of the inflow of the dam and the water level of the dam;
with
the forecast data input unit acquires a plurality of weather forecast data with different forecast periods and records them in the recording unit;
The hydroelectric power plant operation support device, wherein the dam inflow calculation unit switches the plurality of weather forecast data according to the forecast period to calculate the forecast value. All or part of the forecast data input unit, the measurement data input unit, the recording unit, the dam inflow calculation unit, and the optimization calculation unit are connected via a network, from claim 1 5. The hydroelectric power station operation support device according to any one of 4 . The hydroelectric power plant operation support device according to any one of claims 1 to 5 , wherein said forecast data input unit acquires said weather forecast data at a fixed time. The hydroelectric power station operation support device according to any one of claims 1 to 6 , wherein said optimization calculation unit incorporates an operation stoppage period of said dam or said hydroelectric power station into said calculation process. The hydroelectric power station operation support device according to any one of claims 1 to 7 , wherein said optimization calculation unit incorporates profit from electric power sales into said calculation processing. The hydroelectric power plant operation support device according to any one of claims 1 to 7 , wherein said optimization calculation unit incorporates power demand forecast data into said calculation processing. A hydroelectric power plant operation support method for supporting the operation of one or more hydroelectric power plants that generate power using discharge water from one or more dams,
Acquiring a plurality of weather forecast data with different forecast periods , switching and recording the acquired plurality of weather forecast data according to the forecast period,
obtaining measurement data including at least one of measured output power of the hydroelectric power plant, flow rate of the discharge water, and flow rate of a river connected to the dam;
recording the weather forecast data and the measurement data;
using the recorded weather forecast data and the measurement data to calculate a predicted value of the inflow of the dam within a prediction period;
Performing arithmetic processing to optimize power generation of the hydroelectric power plant based on the predicted value of the inflow of the dam and the water level of the dam;
Hydroelectric power plant operation support method.

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