JP2005336937A - Operation management method for hydraulic power station and its operation management system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an operation management method for a hydraulic power station for improving maintenance property of hydraulic equipment in the hydraulic power station and to provide its operation management system. <P>SOLUTION: In this hydraulic power station operation method for performing operation management of the hydraulic power station, operation management of the hydraulic power station is performed according to topographical data in a basin of water flowing into the hydraulic power station and weather information including at least rainfall information. Alternatively, operation and stop of the hydraulic power station are managed according to topographical data in a basin of water flowing into a dam of the hydraulic power station, weather information including at least rainfall information, and correlation data of amount of water flowing into the hydraulic power station and sediment information. Further alternatively, operation and stop of the hydraulic power station are managed according to weather information including at least rainfall information and correlation data of amount of water flowing into the hydraulic power station and sediment information. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to an operation management method for a hydroelectric power plant and an operation management system thereof.

  In the water turbine operation of a hydroelectric power plant and a pump turbine, when there is a lot of rain and the amount of water flowing into the power plant is large, the water turbine may be stopped in order to suppress abrasion of the water turbine due to earth and sand in running water. Conventionally, regarding water turbine operation stop, a device that measures the turbidity and sediment of river water is installed at the power plant entrance and directly measured, and the staff has judged whether to take water in, stop or restart the power generation.

  The methods disclosed in Patent Document 1 (Japanese Patent Laid-Open No. 2003-213659) and Patent Document 2 (Japanese Patent Laid-Open No. 10-68118) require a device for measuring earth and sand, and in these methods, This is a technology that can only be dealt with by measuring changes in sediment conditions.

JP 2003-213659 A Japanese Patent Laid-Open No. 10-68118

  In the methods disclosed in Patent Document 1 and Patent Document 2, a device for measuring earth and sand is required, and maintenance for maintaining the accuracy is also required. In addition, these methods are the first methods to deal with the change in the sediment conditions in the river water, and the response may be slow in terms of the operation of the power plant in consideration of the power demand and supply. However, in hydroelectric power stations that are severely damaged by underwater sediments and rocks, it is necessary to close the intakes to hydropower equipment due to increased water or turbid water due to weather conditions, to prevent damage to hydropower equipment, and to generate power due to power demand Therefore, it is desirable to predict the concentration and particle size of sediments and rocks in water, and to appropriately determine whether to stop or restart water intake. In other words, from the viewpoint of the maintenance of hydropower equipment and the demand for electric power, it is desired to predict the concentration and particle size of the sediment and fledstone of water entering the hydropower equipment, and to appropriately determine and support the suspension and resumption of water intake.

  An object of the present invention is to provide an operation management method and an operation management system for a hydroelectric power plant that improve the maintainability of hydroelectric equipment of the hydroelectric power plant.

  The operation method of the hydroelectric power plant according to the present invention manages the operation of the hydroelectric power plant based on the terrain data of the basin of water flowing into the hydroelectric power plant and weather information including at least precipitation information.

  Alternatively, the operation method of the hydroelectric power plant according to the present invention includes the terrain data of the water basin flowing into the dam of the hydroelectric power plant, meteorological information including at least precipitation information, and the flow rate of water flowing into the hydroelectric power plant and sediment information. Based on the correlation data, the operation and shutdown of the hydroelectric power plant will be managed.

  Alternatively, the hydropower plant operation method of the present invention manages the operation and stoppage of the hydropower plant based on weather information including at least precipitation information and correlation data between the flow rate of water flowing into the hydropower plant and sediment information. .

  Alternatively, the operation method of the hydroelectric power plant according to the present invention is to obtain a flow rate fluctuation prediction value of water flowing into the hydropower plant based on topographic data of the water basin flowing into the hydropower plant and precipitation information available in real time. A flow rate fluctuation prediction value obtained in the first step and a database in which the correlation between the flow rate fluctuation information flowing into the hydroelectric power plant and the sediment concentration and particle size information in water is determined in advance. And a second step of predicting sediment concentration and particle size information in water.

  Alternatively, the operation management system for a hydroelectric power plant according to the present invention comprises means for managing the operation of the hydroelectric power plant based on topographic data of the basin of water flowing into the hydropower plant and weather information including at least precipitation information.

  Alternatively, the operation management system of the hydroelectric power plant according to the present invention is characterized in that the terrain data of the water basin flowing into the dam of the hydroelectric power plant, meteorological information including at least precipitation information, and the flow rate and sediment information of the water flowing into the hydroelectric power plant. And means for managing the operation and stoppage of the hydroelectric power plant based on the correlation data.

  Alternatively, the hydropower plant operation management system according to the present invention is based on meteorological information including at least precipitation information and correlation data between the flow rate of water flowing into the hydropower plant and sediment information, and manages the operation and stoppage of the hydropower plant. Means for carrying out the operation.

  Alternatively, the operation management system of the hydroelectric power plant according to the present invention provides a flow rate fluctuation prediction value of the water flowing into the hydropower plant based on topographical data of the water basin flowing into the hydropower plant and precipitation information available in real time. The first means to be obtained, a database in which the correlation between the information on the flow fluctuation of the water flowing into the hydroelectric power plant and the sediment concentration and particle size information in the water is determined in advance, and the flow fluctuation obtained by the first means And a second means for predicting sediment concentration and particle size information in water based on the predicted value.

  ADVANTAGE OF THE INVENTION According to this invention, the operation management method of the hydropower station which improves the maintainability of the hydraulic equipment of a hydropower station, and its operation management system can be provided.

  In the embodiment of the present invention, a situation related to the maintainability of hydraulic equipment of a hydropower station is appropriately predicted, and an appropriate operation management method and an operation management system thereof are provided.

  Hereinafter, embodiments of the present invention will be specifically described with reference to the drawings. FIG. 1 is a diagram showing a schematic configuration and operation of a system that supports determination of stop / restart of power generation operation of a hydroelectric power plant according to an embodiment of the present invention.

  The meteorological observation apparatus 1 is installed at one or more places, that is, at least one place so that meteorological information can be observed in the source basin of the river flowing into the power plant. The meteorological information observed by the meteorological observation device 1 is transmitted via the communication means 2 to the server 3 that manages and stores the meteorological information. Here, the meteorological observation apparatus 1 has at least a function of measuring rainfall, and a direct measurement method or an indirect measurement method using a radar or the like can be applied. This weather information includes at least precipitation information. Moreover, the weather information measured by the weather observation apparatus 1 may be constantly observed data or observation data at regular time intervals. Note that the communication means 2 for communicating the weather information observed by the weather observation apparatus 1 may be a wired system or a wireless system.

  The collected weather information is transmitted from the server 3 to the calculator 5 via the communication means 4. This communication means 4 may be a wired system or a wireless system. Further, the communication means 2 for communicating the observed data with the meteorological observation device 1 and the server 3 for managing and accumulating weather information are, for example, facilities of the Japan Meteorological Agency, the Japan Meteorological Business Support Center, and private weather information service companies. It doesn't matter.

  The calculator 5 has a database of topographic data and geological data including the source flow of water flowing into the dam 6 of the hydroelectric power plant. The computing unit 5 receives weather information transmitted from the server 3 via the communication means 4, and based on this weather information and at least the topographic data of the topographic data and geological data, the amount of water flowing into the dam 6 and the earth and sand The concentration and sediment particle size are calculated, and the amount of water flowing into the dam 6 and the sediment concentration and sediment particle size are predicted and managed.

  Next, a specific procedure will be described with reference to FIGS. FIG. 2 is an example of data serving as basic data of a response function between the amount of river water flowing into the dam 6 and the concentration and particle size of earth and sand and rocks in the river water. The relationship between the amount of river water flowing into the dam 6 and the sediment concentration within a certain particle size range is predicted by creating a response function related to the amount of change in river water volume per unit time. FIG. 3 is a flowchart showing an example of the flow from the input of weather information to the determination of stop / restart of the power generation operation of the hydroelectric power plant of the present embodiment.

  The system of the present embodiment is provided with storage means for storing in advance the terrain data of the water basin flowing into the hydroelectric power plant. In addition to the terrain data, geological data may be stored. Further, as the weather information, it is desirable to use precipitation information available in real time from the weather observation apparatus 1.

  In the system of the present embodiment, a means for obtaining a predicted flow rate fluctuation value of water flowing into the hydropower station based on topographic data of the water basin flowing into the hydropower station and precipitation information available in real time (first Runoff analysis to predict flow rate fluctuations and power plant inflows. Accordingly, it is possible to provide a hydropower plant operation management method and an operation management system that can obtain accurate information quickly and improve the maintainability of the hydropower equipment of the hydropower plant.

  In addition, the system according to the present embodiment includes a database in which the correlation between the flow rate fluctuation information flowing into the hydroelectric power plant and the sediment concentration and particle size information in the water is determined in advance. Based on the information in this database and the estimated flow rate fluctuations and predicted values of power plant inflow, the means for predicting the sediment concentration and particle size information in the water (second measure), the sediment concentration and particle size information in the water Predict. Accordingly, it is possible to provide a hydropower plant operation management method and an operation management system that can obtain accurate information quickly and improve the maintainability of the hydropower equipment of the hydropower plant.

  FIG. 2 is an example of data serving as basic data of a response function between the amount of river water flowing into the dam 6 and the concentration and particle size of earth and sand and rocks in the river water. In other words, this is an example of a database reference in which the correlation between the flow rate fluctuation information flowing into the hydroelectric power plant and the underwater sediment concentration and particle size information is predetermined. FIG. 2 shows the relationship with the elapsed time (h) on the horizontal axis and the river flow rate and sediment concentration on the vertical axis. Thick solid line with black circles indicates river flow, thin solid line with square marks indicates sediment concentration with a particle size of 0-50 μm, short dashed line with triangles indicates sediment concentration with a particle size of 50-100 μm, long broken line with crosses Indicates a soil concentration with a particle size of 100 to 200 μm. Such data on the flow rate, sediment concentration, and sediment particle size are acquired and stored, and the corresponding relationships are stored in a database. Correction is also possible under various conditions. The relationship between the amount of river water flowing into the dam 6 and the sediment concentration in an arbitrary particle size range can be predicted by creating a response function related to the amount of change in river water volume per unit time.

  As in this example, the hydropower plant operation is managed based on the topographic data of the water basin flowing into the hydropower plant and the weather information including at least precipitation information. It becomes possible to cope with suppression of damage. Accordingly, it is possible to provide a hydropower plant operation management method and an operation management system that can obtain accurate information quickly and improve the maintainability of the hydropower equipment of the hydropower plant.

  Also, based on the topographic data of the water basin flowing into the dam of the hydroelectric power plant, meteorological information including at least precipitation information, and the correlation data between the flow rate of water flowing into the hydroelectric power plant and sediment information, Since the outage is managed, the sediment information can be predicted with high accuracy, and it becomes possible to appropriately cope with the suppression of damage to the hydraulic equipment due to the inflow of sediment. Accordingly, it is possible to provide a hydropower plant operation management method and an operation management system that can obtain accurate information quickly and improve the maintainability of the hydropower equipment of the hydropower plant.

  In addition, since the operation and stoppage of the hydropower plant are managed based on the correlation information between the weather information including precipitation information and the flow rate of water flowing into the hydropower plant and the sediment information, the sediment information can be predicted easily and accurately. Therefore, it becomes possible to manage the operation and stoppage of hydropower plants in consideration of the suppression of damage to hydraulic equipment. Accordingly, it is possible to provide a hydropower plant operation management method and an operation management system that can obtain accurate information quickly and improve the maintainability of the hydropower equipment of the hydropower plant.

  Furthermore, based on the topographic data of the water basin flowing into the hydroelectric power plant and the precipitation information available in real time, the flow rate fluctuation prediction value of the water flowing into the hydroelectric power plant is obtained, and information on the flow rate fluctuation of the water flowing into the hydroelectric power plant is obtained. Easily predicts the sediment concentration and particle size information in the water based on the flow rate fluctuation prediction value obtained by the database and the first means determined in advance. Hydroelectric power plants that can predict the sediment concentration and particle size, which are accurate sediment information, can appropriately obtain accurate information in consideration of the suppression of damage to hydropower equipment, and improve the hydropower equipment maintainability. The operation management method and the operation management system can be provided.

  Specifically, the calculator 5 performs various calculations. The computing unit 5 is provided with storage means for terrain data around the dam, and at least weather information is input. The computing unit 5 uses the meteorological information obtained by the meteorological observation device 1 and its position data, and the terrain data and geological data including the source flow of water flowing into the dam obtained in advance, to transport water and sediment. Numerical calculation is performed, and the amount of water flowing into the dam 6 and the sediment concentration and sediment particle size are calculated and predicted.

  The weather information and its position data obtained by the meteorological observation device 1 may be used as they are by the calculator 5, or the calculator 5 performs missing point interpolation, three-point weight interpolation, etc. It may be input data for numerical simulation of transportation.

  Next, specific calculation means and calculation methods will be described.

Here, as a numerical simulation of water transportation, for example, as an outflow model
Predict the amount of water flowing into the dam 6 and its time variation per unit using rainfall and runoff calculations using physical models such as the Kinematic Wave model (equivalent roughness method) and the storage function method.

  The Kinematic Wave model is expressed using the following equations 1 and 2 in order to express the flow on a steep slope with a constant gradient.

ここで、ｔ：時間，ｘ：斜面上流からの距離，ｈ：水深，ｑ：斜面単位幅流量，ｒ_e ：有効雨量，Ｌ：斜面長，α，ｍ：流れの形態で決まる定数である。

Here, t: Time, x: distance from the inclined surface upstream, h: depth, q: the slope unit width flow, r _e: effective rainfall, L: slope length, alpha, m: a constant determined by the flow of the form.

  The storage function method is expressed using the following equations (3) and (4).

ここで、ｔ：時間，ｓ：貯留高，ｒ_e：有効雨量強度，ｑ：直接流出高，ｆ(ｑ)：関数である。

Here, t: Time, s: reservoir height, r _e: effective rainfall intensity, q: direct outflow height, f (q): a function.

  For the numerical simulation of sediment transport, we use the flow rate formula of the swept sand and the flow rate formula of the floating sand. Examples of the sediment flow rate of the sweeping sand include the Kamata and Michigami formulas and the Bagnold formula. Iwata / Michigami's formula is expressed using the following equation (5).

ここで、ｑ_B*：掃流砂量，τ_* ：無次元掃流力，τ_*c：無次元限界掃流力である。

Here, q _{B * is the} amount of scavenging sand, τ _{* is} a dimensionless scavenging force, and τ _{* c is} a dimensionless limit scavenging force.

  Bagnold's formula is expressed using the following equation (6).

ここで、ｅ_b ：エネルギー・仕事の効率，φ_d ：定数，μ_R ：砂流の動摩擦係数、τ_* ：無次元掃流力，τ_*c：無次元限界掃流力である。

Here, e _b : energy / work efficiency, φ _d : constant, μ _R : dynamic friction coefficient of sand flow, τ _* : dimensionless scavenging force, τ _{* c} : dimensionless limit scavenging force.

  Examples of the suspended sand flow rate formula include the Lane / Kalinske formula, and the Kamata / Okabe / Fujita formula is used to supplement the suspended sand concentration on the reference plane of the flow rate formula.

  The Lane-Kalinske equation is expressed using the following equations 7 and 8.

ここで、ｑ_s ：単位幅・単位時間当りの浮遊砂量，ｑ：単位幅流量，Ｃａ：基準面（ｚ＝ａ）における浮遊砂濃度，ａ：流路床から浮遊砂濃度の基準面までの高さ、κ：Karman定数，ｗ₀：沈降速度，ｈ：水深，ｕ_*：摩擦速度、φ＝ｖ／ｕ_*(ｖ：断面平均流速) ，η＝ｚ／ｈ（ｚ：流路床からの距離）である。

Here, q _s : the amount of suspended sand per unit width and unit time, q: unit width flow rate, Ca: suspended sand concentration on the reference plane (z = a), a: from the channel floor to the reference plane of suspended sand concentration , Κ: Karman constant, w ₀ : sedimentation velocity, h: water depth, u _* : friction velocity, φ = v / u _* (v: cross-sectional average flow velocity), η = z / h (z: channel bed) Distance).

  The reference surface concentration formula of suspended sand of Iwata, Okabe, and Fujita is expressed using the following equation (9).

なお、ｗ₀ ：沈降速度，ｕ_* ：摩擦速度，ｙ：横断方向の距離，ν：動粘性係数である。

Here, w _{0 is the} sedimentation speed, u _{* is the} friction speed, y is the distance in the transverse direction, and ν is the kinematic viscosity coefficient.

  The transport calculation of each of the flowing sand and suspended sand can be obtained by using either of these formulas, or by selecting or combining optimal evaluation formulas according to topographic conditions, geological conditions, precipitation conditions, etc. And the total amount of sand flow can be calculated from the sum of floating sand.

  By combining the numerical simulation results of water transport with the numerical simulation of sediment transport, the concentration and particle size of sediment and rocks in river water are predicted, and water turbine operation at the power plant is stopped or restarted, or It is possible to appropriately determine resumption.

  As another example, in order to predict the concentration and particle size of sediment and rocks in river water, it is obtained by the weather observation device 1 and collected by the communication means 2 in the server 3 that manages and stores weather information, From the meteorological data sent to the calculator 5 by the communication means 4 and the topographic data including the source flow of water flowing into the dam, the calculator 5 calculates the amount of water flowing into the dam 6 using the above-described numerical simulation of water transport. Predict the amount of change. The computing unit 5 uses the response function of the amount of change per unit time of the amount of water flowing into the dam 6 prepared in advance and the concentration and particle size of the sediment and sediment in the river water to obtain the concentration of sediment and sediment in the river water. It is possible to predict the suspension and resumption of water intake from the power plant by predicting the particle size and particle size.

  As described above, in this embodiment, the apparatus for directly measuring the sediment concentration / particle size without directly measuring the sediment concentration / particle size, which is the sediment information in the running water entering the hydropower equipment of the hydroelectric power plant, and its maintenance. Even if there is no water, it is possible to predict the sediment concentration and particle size in the running water from the weather information in the upstream of the river, and it is excellent in economic efficiency and responsiveness. There is an effect that it is possible to make an appropriate judgment at each stage. In other words, it is possible to predict sediment information quickly and accurately, and easily manage a hydroelectric power plant with excellent maintainability with a simple system without requiring facilities with poor maintainability. In addition, since sediment information can be predicted quickly and accurately, an operation plan can be made in consideration of electric power demand.

  In addition, according to the present example, by predicting the sediment concentration and particle size in the running water from the weather information in the upstream of the river, the stoppage and resumption of power plant intake during a rainy season increase is planned based on the relationship with the power demand. There is an effect that can be judged.

  In addition, according to this embodiment, it is possible to perform the optimum operation of the power generation amount and the abrasion amount due to the sediment by predicting the sediment concentration and particle size in the running water from the weather information in the upstream of the river. There is.

  The present invention relates to an operation management method and an operation management system of a hydroelectric power plant that improve the maintainability of hydroelectric equipment of the hydroelectric power plant.

It is the schematic of the system which assists judgment of stop and restart of the power generation operation of the hydroelectric power plant concerning the embodiment of the present invention. It is a figure which shows the time change of the amount of river water which flows into the dam 6 concerning embodiment of this invention, and the density | concentration and particle size of the earth and sand in the river water, or a stone. It is a flow figure of a system which supports judgment of stop and restart of power generation operation of a hydroelectric power station concerning an embodiment of the present invention.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 ... Weather observation apparatus, 2, 4 ... Communication means, 3 ... Server which manages and accumulate | stores weather information, 5 ... Calculator, 6 ... Dam, 7 ... Water intake, 8 ... Power plant.

Claims (8)

In the hydropower plant operation method that manages the operation of hydropower plants,
A hydropower plant operation method for managing the operation of a hydropower plant based on terrain data of a water basin flowing into the hydropower plant and weather information including at least precipitation information. In the hydropower plant operation method that manages the operation of hydropower plants,
Based on the topographic data of the water basin flowing into the dam of the hydroelectric power plant, meteorological information including at least precipitation information, and the correlation data between the flow rate of water flowing into the hydroelectric power plant and the sediment information, the hydropower plant is operated and stopped. To operate a hydroelectric power station. In the hydropower plant operation method that manages the operation of hydropower plants,
A hydropower plant operation method for managing the operation and stoppage of a hydropower plant based on at least weather information including precipitation information and correlation data between the flow rate of water flowing into the hydropower plant and sediment information. A first step for determining a flow fluctuation prediction value of water flowing into the hydropower plant based on topographic data of the water basin flowing into the hydropower plant and precipitation information available in real time;
Based on a predetermined database and the flow rate fluctuation prediction value obtained in the first step, the correlation between the flow rate fluctuation information flowing into the hydroelectric power plant and the sediment concentration and particle size information in the water is determined. A hydroelectric power plant operating method comprising a second step of predicting sediment concentration and particle size information. In the hydropower plant operation management system that manages the operation of hydropower plants,
A hydropower plant operation management system comprising means for managing the operation of the hydropower plant based on terrain data of the water basin flowing into the hydropower plant and weather information including at least precipitation information. In the hydropower plant operation management system that manages the operation of hydropower plants,
Based on the topographical data of the water basin flowing into the dam of the hydroelectric power plant, meteorological information including at least precipitation information, and correlation data between the flow rate of water flowing into the hydroelectric power plant and sediment information, the hydropower plant is operated and stopped. Hydropower plant operation management system with means to manage In the hydropower plant operation management system that manages the operation of hydropower plants,
A hydropower plant operation management system comprising means for managing the operation and stoppage of a hydropower plant based on at least weather information including precipitation information and correlation data between the flow rate of water flowing into the hydropower plant and sediment information. A first means for obtaining a predicted flow rate fluctuation value of water flowing into the hydropower plant based on topographic data of the water basin flowing into the hydropower plant and precipitation information available in real time;
The correlation between the flow rate fluctuation information flowing into the hydroelectric power plant and the sediment concentration and particle size information in the water is determined based on the flow rate fluctuation prediction value obtained by the predetermined database and the first means. A hydropower plant operation management system having a second means for predicting sediment concentration and particle size information.

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