WO2017065463A1 - Method for forecasting optimal operation of innovative single-action-type tidal power generation - Google Patents

Abstract

The present invention relates to a method for forecasting an optimal operation of innovative single-action-type tidal power generation, the method establishing an operational plan for controlling a water turbine and sluice gates so that the operation is in the order of discharge, wait for power generation, power generation, and wait for discharge with each tidal cycle, wherein the operational plan is established so as to allow the maximum power generation to be obtained for each tidal cycle on the basis of changing tidal elevation data with each tidal cycle, and by establishing the operational plan, the maximum amount of generated power can be obtained while reducing the frequency of calculations for same to the minimum. As such, a section discovery step for selecting a section having the optimal solution is repeatedly executed, the section discovery step setting a nodal point in the discovery section, of the optimal head differential for the start of power generation during power generation and optimal head differential for opening and closing the sluice gates during discharge, which can assure the maximum amount of power generation, and a node selection method which rapidly arrives at the optimal conditions and an accurate section selection method are utilized.

Description

Predictive Method of Optimal Operation of Single-flow Creative Tidal Power Plant

The present invention establishes an operation plan for controlling aberration and hydrology so that the tidal cycle is operated in the order of drainage, power generation standby, power generation, and drainage standby, and the maximum generation amount can be obtained for each tin cycle based on the tide data that are varied for each tidal cycle. A method of predicting optimal operation of single-flow creative tidal power generation that shortens the calculation time required to obtain operating conditions for maximum power generation by minimizing the number of generation calculations in establishing an operation plan. will be.

In the tidal power generation, a tidal wave (a tidal dam) with a water wheel generator and a hydrologic gate is built on the shore where the difference between tides is significant, creating a lake, and then creating a lake (water drop) between the sea level and the top of the lake. It is a power generation method that generates electric power by rotating the generator by using the pressure difference, it is divided into double flow type to generate power at high tide and low tide, and single flow type to generate power at high tide or low tide, The stream-flow type is divided into a creation type that generates electricity only at high tide and a fallout type that generates electricity only at low tide.

Particularly, in case of tidal current tidal power generation, when the water head reaches the water head needed for power generation operation, it starts to develop by introducing sea water into the lake, and rises above the lake by the inflow of sea water. At the time of reaching the minimum power generation headwater, power generation is stopped, and when the seawater flows into the lake during power generation, it is operated by lowering the top of the lake by opening the water gate and discharging it to the open sea. Therefore, the single-flow creative tidal power generation uses tidal dike to secure the tidal flats, so it is generally assumed that the lake is kept within the range of low tide and average sea level, and Sihwaho tidal power plant, the first tidal power plant in Korea, is a prerequisite. Yes.

1 is a graph showing the operation time of the aberration and hydrology for the single-flow creative tidal power generation. Referring to the graph, the operation time of the aberration and the hydrology is determined according to the water head difference between the sea level and the lake.

2 is a graph illustrating a change in power generation amount according to a change in power generation start head change.

3 is a hydrological opening and closing head (

,

This is an example graph of instantaneous drainage flows when the gate is opened and closed.

Sea level of the open sea (

) Fluctuates in the form of a sinusoidal wave with a periodicity of approximately twice a day centered on the mean sea level (MSL), and high tide and low tide are produced every tidal cycle due to various factors such as lunar cycles, precession of earth Fluctuates.

On the lake of the lake

) Fluctuates by opening and closing aberrations and hydrographs installed in tidal current according to the operation method for single-flow creative tidal power generation, and because the inflow characteristics of seawater vary depending on the volume and topography of the lake level, May alter the operating method to ensure maximum power generation at each tidal cycle. In addition, the operating characteristics of the aberration generator (generator efficiency, aberration efficiency, loss drop, bearing loss, etc.) also affect the power generation amount.

Here, the opening and closing of the aberration means to control the flow of seawater through the aberration, and it is developed by operating the aberration when introducing the seawater of the open sea into the lake, but also within a given time when the seawater of the lake is drained to the open sea. In order to maximize the amount of drainage, the generator is placed in an unloaded state and then drained through aberration.

According to the operation method of the single-flow creative tidal power generation,

On the lake

When higher than the headwaters of the open sea and the lake (

To produce electric power by rotating the aberration using the hydraulic pressure difference by) and drain the seawater introduced into the lake at the time of power generation to the open sea when the sea level is lower than the lake to empty the lake so that the power can be produced in the next cycle. In detail, a series consisting of drainage operation, power generation standby operation, power generation operation, and drainage standby operation is repeated according to the period of the sea level as follows.

At low tide, if the lake and sea level are the same, open the sluice and aberrations to drain the seawater to the open sea.Afterwards, the sea level rises to low tide according to the tidal phenomena. Close water gates and aberrations when done. The drainage operation lowers the lake, and the tidal size and time vary with each tidal cycle, so the sea level at the time of opening and closing the hydrology and aberrations is also different for each tidal cycle.

Even if the sea level rises gradually above the lake,

Wait until you reach).

As the sea level rises, the head of water develops.

) To generate power by opening and running aberrations. At this time, the lake level is gradually increased due to tidal phenomenon, and the lake level is gradually increased due to the inflow of seawater through aberration, but since the seawater inflow through the aberration is limited, the rising speed of the sea level is higher than that of the lake due to seawater inflow. Initially, chicken pox (

) Increases. And after high tide, the sea level will be low, so

), So the minimum power generation head (

In this case, power generation is stopped by closing and stopping the aberration. However, in the case of creative tidal power generation, it is common to limit and manage the maximum lake, so the minimum power generation head (

Maximum water level (even before)

), Stops generating electricity and closes the aberrations to block the inflow of seawater. In case of Sihwa Lake, the maximum management level is generally

) Is EL. -1.00m.

Thereafter, the sea level is lowered and waits (drainage) until it becomes the same as on the lake.

* When the sea level and the lake are the same, the water gate and the aberration are opened to produce electric power, and the seawater flowing into the lake is drained to the open sea. Here, the aberration is not for opening for power generation but for drainage, so it is allowed to reverse. In addition, if additional water gates (drainage locks) are installed to ensure maximum drainage, such as the Sihwa Lake embankment, additional water gates are also opened during drainage.

As a result, the lake level is gradually lowered, and after the low tide, the sea level becomes high, and when the lake level and the sea level become the same, the water gate and the aberration are closed. Thus, the water level on the lake can be lowered to perform the power generation operation of the next cycle.

* However, when the power generation start head difference is increased by, for example, 0.1 m within a predetermined section, and the generation amount for each power generation start head difference is increased, as shown in FIG. In addition, according to fluctuations in tidal phenomena at each cycle, the difference in the number of start-ups of power generation, which produces the maximum power generation, also fluctuates. Therefore, by obtaining all of the power generation by the start head of the power generation, it was possible to obtain the optimum power generation head to secure the maximum power generation.

In addition, only when sufficient drainage is secured during drainage, the amount of power generated can be increased to the maximum when power is generated.

As described above, tidal power generation is performed by performing power generation standby operation, power generation operation, drainage standby operation, and drainage operation in accordance with the cycle of seawater level.

) And drainage.

However, it is inefficient to calculate the amount of power generated by the generation start head fluctuations by varying the power start head difference at a predetermined interval.

In the Sihwa Lake tidal power plant, for example, the floodgate reaches hundreds of tons, the height is 12m, the lifting capacity of the hoisting machine to open and close the gate is 0.5m / min, and the time taken to open the floodgate is at least 24 It takes about a minute, so the amount of water drained through the gate changes over the time it takes to open the gate. Similar time is required to open the gate when it is closed.

Therefore, when the opening operation is performed at the same time as the sea level and the lake level, the drainage amount cannot be secured to the maximum.

[Preceding technical literature]

[Patent Documents]

(Patent Document 1) KR 10-0920604 B1 2009.09.29.

[Non-Patent Documents]

(Non-Patent Document 1) A Study on the Development of Optimal Operational Model for Single Phase Creative Power Generation, Korean Institute of Electrical Engineers Summer Conference 2009. 7., 14-17

Therefore, the problem to be solved in the present invention is to determine the optimum power generation start speed more quickly, and to determine the optimum operating conditions of tidal power plant by determining the time of opening and closing operation of the gate to the maximum drainage amount for the maximum power generation. It provides a method for predicting the optimal operation of a single-phase creative tidal power provided.

In order to achieve the above object, the present invention is set to a range in which the search interval for the power generation start head is gradually increased and then decreases with the increase in the power generation start head, and for the prediction period input to the input unit 20. In the single-flow creative tidal power generation optimal operation prediction method, which is generated by the optimum operation search unit 30 which generates an optimum operation prediction result that maximizes the generation amount and outputs it to the output unit 40, the prediction period through the input unit 20. An input step of receiving an input (S1); A tide prediction step of generating tide prediction data for the prediction period based on the tide data (S2); An optimal operation search step (S5) including a maximum power generation search step (S200) for searching for an optimal power generation start head difference based on the tide prediction data, the George data, and the water level after the drainage time; An output step (S7) for outputting an optimal operation prediction result including an optimum power generation start head difference;

The maximum power generation search step (S200) selects a node that divides the search section into two sections, calculates the amount of power generated at the node, and selects a section that does not belong to the optimum power generation start difference among the divided sections according to the magnitude of the generation amount. A section search step (S220, S230) of deleting and resetting the remaining sections to the search section; A convergence condition checking step (S240) for repeating the interval search step until a preset convergence condition is reached; And a selection step (S250) of selecting one point within the search section when the preset convergence condition is reached as the optimum power generation start number difference with the maximum generation amount.

The optimal operation exploration step (S5) is based on the tide forecast data, George data and management level of the time when it is possible to drain the optimal hydro-open water head and the optimal hydro-closure water head to secure the maximum drainage for the lake maintained at the management level In order to search, and before the maximum power generation amount search step (S200) to obtain the maximum amount of water search step (S100) to obtain a lake after the drainage in accordance with the secured maximum amount of water, the maximum amount of power generation step (S200) After the drain on the lake is the drain after the lake obtained in the maximum drainage search step (S100).

In the present invention made as described above, in searching for the optimum power generation start heading to obtain the maximum amount of power generation, by selecting a node that divides the search section into two sections, the process of deleting one section without the optimal power generation start heading is repeated. In order to reduce the number of iterations in the calculation process, it is possible to search the optimal power generation start difference without error and to calculate the amount of power generation at the node. It is possible to obtain the head start of power generation.

In addition, since the present invention selects the nodes using the golden ratio method, the second-order interpolation method or the shunting method, by reducing the search period by adopting the node selection method that can select the section without the optimal power generation start difference while increasing the deletion period as much as possible. It is possible to reduce the number of times to perform the section search step for, thus, it is possible to find the optimum power generation start difference more quickly.

In addition, the present invention is to search the operating conditions to ensure the maximum drainage to obtain a larger amount of power produced in the power generation operation after the drainage, thereby establishing an overall tidal power operation plan for securing the maximum power generation for each tidal cycle can do.

1 is a graph showing the operation time of the aberration and the hydrologic for single-flow creative tidal power generation.

2 is a graph illustrating a change in power generation amount according to the change in power generation start head.

Figure 3 is an exemplary graph of the instantaneous drainage flow rate that appears upon opening and closing of the water gate according to the hydrological opening and closing water head.

Figure 4 is a block diagram of a single flow creative tidal power generation optimal operation prediction system for the implementation of the present invention.

5 is a flow chart of a method for predicting optimal operation of single-flow creative tidal power generation according to an embodiment of the present invention comprising the system of FIG. 4.

6 is a flow chart of the maximum displacement search step (S100).

7 is a flow chart of the process of obtaining drainage water for the specific hydrological water leakage.

8 is a flow chart of the maximum power generation search step (S200) using the golden division method.

9 is a flow chart of the process of obtaining power generation for a specific power generation start head.

10 is a graph showing a process of searching for a power generation start car using a golden division method.

11 is an exemplary view showing the output screen of the optimal operation prediction result.

12 is a flow chart of the maximum power generation search step (S200a) using the second interpolation method.

FIG. 13 is a graph showing a process of searching for a power generation start head using a quadratic interpolation method. FIG.

14 is a flowchart of a maximum power generation search step S200b using a secant method.

FIG. 15 is a graph showing a process of searching for a power generation head car using a secant method. FIG.

16 is a flowchart of another embodiment of the maximum displacement search step S100.

FIG. 17 is a detailed flowchart of the optimum hydrograph closing water searching step (S130a) shown in FIG. 16.

Define and briefly describe terms. The terms defined herein are defined with reference to FIGS. 1 to 3 and [Background Art of the Invention].

Sea level

) Is the level of the open sea, which varies with tides.

On the lake

) Is the water level in the lake formed by the dike.

Chicken pox (

)

= -

The difference in water level or drop between the sea level and the lake is estimated.

Development start head (

) Is the head difference between the sea level and the lake at the time of starting power generation by opening and operating the aberration when the tide is drained to the open sea.

Administrative water level (

) Refers to the maximum allowable lake level when seawater from the open sea enters the lake as power generation starts at the head of the power generation.When the water level reaches the management level, power generation is closed by closing the aberration. It will be maintained at the management level.

Minimum power head

) Is the minimum head aberration needed to rotate a stationary aberration.

) Is at least greater than the minimum generation head, and starts to develop and ends when the head reaches the minimum generation head.

The amount of power generated (E) is the number of start-up times of power generation for one tidal cycle (

) Refers to the total amount of power produced until the water level generator reaches the management level or the minimum power generation head after operating the aberration generator. Adopt the method.

Hydrologic opening and closing head (

,

) Is the hydrocephalus, the hydrocephalus, at the beginning of the opening of the hydrology (including additional hydrology, if any).

) And the hydrologic closure head (the head of the head when the gate is closed to terminate drainage)

), And the difference between the head difference at the time of opening and closing the gate and the time difference between the head difference at the time of full opening and the time at which the gate is completely closed are different.

The amount of drainage is the water gate

To open the sluice and open the sluice closure (

) Is the total drainage when the gate is operated to close the floodgate, and it calculates and accumulates the drainage according to the head difference at a preset time interval.

After draining the lake is a drained lake, the management level is generally kept constant, but since the tidal cycle only occurs because of the tidal cycle, the lake after draining can vary by tidal cycle. On the other hand, the management level may be adjusted by rainfall.

The search section is the range of values to search.

The node is a value determined within the search section, and the node divides the search section by this node.

Hereinafter, with reference to the accompanying drawings, preferred embodiments of the present invention will be described to be easily carried out by those of ordinary skill in the art.

4 is a block diagram of a single flow creative tidal power generation optimal operation prediction system 10 for the implementation of the present invention.

The single-flow creative tidal power generation optimal operation prediction system for the implementation of the present invention includes a database unit 10 for databaseing the data necessary to predict the operating state of the tidal power plant, and operating conditions including the number of operating generators, the number of operating hydrologic units, and the like. And an input unit 20 for inputting a prediction period, an optimum operation search unit 30 for generating an optimal operation prediction result for ensuring maximum generation amount, and an output unit 40 for outputting an optimum operation prediction result. .

The data databased in the database unit 10 includes tide data for obtaining information on changes in sea level due to tidal phenomena, and between the volume (or volume) of Lake Sihwa and the lake level according to the information on the surface area of the lake for each lake level. Calculation information for establishing the relationship, generator data including water flow calculation information and power generation calculation information through aberration, and water flow calculation information through water gate, and drainage water flow calculation information through additional water gate when additional water gate is installed In addition, it may include hydrological data on which the drainage calculation is based, constraint data including constraints on the management of the lake and drainage time, and initialization conditions including initialization values of various search sections described below.

Here, the constraint data may be, for example, time-level management water level, drainage time limit, and the like, and change the value of the management water level according to the constraint data, and stop drainage and calculate the water discharge amount during the drainage time limit. The description does not describe the embodiment to which this is applied. In the case of a constraint that is changed from time to time, the input unit 20 may be inputted.

The optimum operation search unit 30 reflects the tide prediction unit 31 for predicting the tide for the prediction period received, and the operating conditions and databased initialization conditions inputted to the input unit to the maximum power generation search and the maximum drainage search processor. Acquire the optimal hydrological opening and closing head water to secure the maximum drainage based on the tide prediction data, George data, initial water level (management water level), generator data and hydrologic data under the condition setting unit 32 and the operating conditions As a result, the maximum power discharge search unit 33 which obtains the maximum water discharge, and the optimum power generation start to secure the maximum power generation based on the tide prediction data, the George data, the lake level after the drainage, and the generator data while the operating conditions are reflected. It is configured to include a maximum power generation search unit 34 to obtain the head water and consequently also obtain the maximum power generation, The optimum operating forecasts including enemy sluice opening and closing water head difference, the maximum power generation amount and the maximum displacement is outputted through the output unit 40.

Hereinafter, a method of predicting the optimal operation of the single-flow creative tidal power generation that is controlled and executed by the optimum operation search unit 30 will be described.

5 is a flowchart of a method for predicting optimal operation of single-flow creative tidal power generation according to an embodiment of the present invention.

In the single-flow creative tidal power generation optimal operation prediction method according to an embodiment of the present invention, an input step (S1) for receiving a prediction period and an operating condition through the input unit 20, and a tide for the prediction period based on databased tide data. Tide prediction step (S2) for generating the prediction data, operating condition setting step (S3) to reflect the input operating conditions and database-based initialization conditions to the initial conditions for the search for the maximum generation amount and the maximum displacement, and within the prediction period A tidal cycle counter count initialization step (S4) for acquiring the tidal cycle count (M) based on the tide prediction data and initializing the variable m for counting the tidal cycle count to m = 1, a maximum displacement search step (S100), and The optimal operation search step (S5) to sequentially perform the maximum power generation search step (S200) and the number of times to repeat the optimal operation search step (S5) by the number of tidal cycles (M) is checked W and predicted tidal number checking step (S6) to be performed for each cycle in the period, comprises an outputting step (S7) for a tidal power output for optimal operation prediction result obtained by the tidal cycle.

The operating conditions received in the input stage (S1) are the initial lake level of the forecast period, the management level, the forecast period, which is the period to establish the operation plan of the tidal power plant, the number of aberration generators and hydrologic units to be operated for each tidal cycle within the forecast period, It may include a kind of search method to be described later. Take the case of the Sihwa Lake embankment, for example, a total of 10 aberration generators, a total of eight main gates, and a total of eight additional flood gates, and if there are changes in the number of operations due to maintenance plans, this will be reflected.

The operating conditions received include the management level, which is the maximum allowable value on the lake that rises as power is generated by operating the aberration, but the management level is databased so that it can be applied to the initialization condition when executing the search method described below. good. On the other hand, if the rainfall is expected according to the weather forecast may be able to adjust the management level up in consideration of the inflow amount according to the rainfall.

The initial lake level can be entered as the management level as the starting point lake in the forecast period, or it can be entered into the lake after drainage.

If the initial lake is received after draining into the lake, the optimal operation search step (S5) performs only the maximum power generation search step (S200) for the first tidal cycle, and if the initial lake is received as the management level, the optimum operation search step ( In S5), the maximum drainage search step S100 and the maximum power generation search step S200 are sequentially performed for the first tidal cycle. From the second tidal cycle, whether the initial lake is on the lake after the drainage or the management water level, the maximum drainage search step S100 and the maximum power generation search step S200 are sequentially performed. In the embodiment of the present invention will be described a case where the initial lake level is received as the management level. Of course, the forecast period can also include only one tidal cycle.

In the tide prediction step S2, the tide prediction data in the prediction period is generated by harmonizing analysis of the tide data previously estimated in the prediction period from the database unit 10. Generation of tide prediction data according to the harmonic analysis is a technique that has been used in the technical field to which the present invention belongs, detailed description thereof will be omitted.

The operating condition setting step (S3) includes the aberration generator number, the hydrologic number, the management level and the initial lake level included in the operating condition, the generator data, the hydrologic data, the George data and the initialization condition, and the tide obtained from the database unit 10. The tide prediction data generated in the prediction step S2 is set to be applied to the optimal operation search step S5.

The optimal operation search step S5 set as described above first performs the maximum drainage search step S100 for each tidal cycle and then performs the maximum power generation search step S200.

The maximum displacement search step (S100) will be described in detail with reference to FIG. 6 showing a flow chart and FIG. 7 showing a flow chart.

In the maximum drainage search step (S100), after the power generation starts at high tide, the lake level reaches the management level, the power generation ends at the low tide, and the drainage starts at the low tide, and the maximum drainage is lowered as much as possible. Exploration of optimal hydrological opening and closing headwaters (optimal hydrological opening headwater and optimal hydrological closing headwater) based on tide forecast data, George data, management level, hydrologic data, and generator data (aberration data) at the time of drainage The initial stage (S110) of applying the search interval ([P _L , P _H ]), convergence condition, hydrologic data, moving hydrologic number, aberration data and moving aberration number, Section search step (S120, S130) gradually narrowing down to the section with the optimum hydrological opening and closing water difference, convergence condition check step (S140), the number of steps to repeat the search until the convergence condition (S140), the number And a selection step (S150) of selecting an optimum water gate opening and closing water head difference in the final search range at the time it reaches the condition.

Since the hydrological opening and closing head water is composed of the hydrological opening water head and the hydrological closing water head, in the initializing step (S110), the hydrological opening and closing water head search section [P _L , P _H ] is a section of the hydrological opening water head [X _oL , X _oH ] is a search interval with a vector value whose x-axis component is in the range and the hydrologic closure water head is a y-axis component in the interval [X _cL , X _cH ], and is represented by two coordinate points (P _L) on the coordinate plane. = (X _oL , X _cL ), P _H = (X _oH , X _cH )) is set in advance to initialize the set search period. Here, if the hydrologic closure head is changed along the line connecting the two points, the drainage gradually increases, and the search section is set wide so as to gradually decrease after reaching the highest point. For example, the initial section [X _oL , X _oH ] of the hydrological opening _headwater is [0m, 0.3m] to reflect the opening / closing constraints of the hydrology and aberration, and the initial section of the _hydrolock closed _waterhead [X _cL , X _cH ] can be [-0.3m, 0]. The search section of the hydrologic closure head can be used as [0m, 0.3m] with the negative sign removed.

The convergence condition is set in advance to the maximum number of executions (N) of the section searching steps (S120, S130), thereby initializing the variable n for counting the number of performing the searching sections (S120, S130) to 1 to search the section (S120). Counter every time S130 is performed.

* According to the present invention, the section search step (S120, S130) is to calculate the drainage at the node and then select and delete the section that does not belong to the optimal hydrological opening and closing water gap according to the drainage at the node, and reset the remaining section to the search section In addition, as the repetition is performed, the search section is gradually narrowed, so that an optimal hydrological opening and closing head difference can be obtained at least enough to ignore the difference in displacement.

According to the specific embodiment shown in FIG. 6, the section searching steps S120 and S130 apply a golden division method, and both end points P _L of the search section [P _L , P _H ] are applied. And select nodes P ₁ and P ₂ spaced apart from each other at a predetermined golden ratio distance at P _H (S121), and drainages V _{Δ, 1} = q (P ₁ ) and V _{Δ, 2} at the selected two nodes, respectively. After comparing the segment point selection step (S120) of calculating and obtaining = q (P ₂ ) (S120) and the drainage amount calculated at the two nodes (S131), a node having a relatively small amount of drainage and one end point adjacent to the node ( (S132, S133) a search section resetting step (S132, S133) to reset a section including a node having a large drainage amount based on a node having a small drainage amount by deleting one partition section formed between the end points in the distance of the golden ratio). S130).

That is, remove the displacement V _{△, 2} the displacement V _△, one interval is less than ₁ there is no P ₁ in the both side sections is a compartment around the P ₂ in the P ₁ [P _2, P _H] in P ₂ And reset the remaining section [P _L , P ₂ ] to the search section (S132), otherwise delete the section [P _L , P ₁ ] and reset the remaining section [P ₁ , P _H ] to the search section ( S133).

The golden section is a division in Euclidean geometry where the ratio of the large segment to the total segment is equal to the ratio of the small segment to the large segment when the segment is divided into two uneven parts. , Fibonacci sequence F _n It is represented by Equation 1 as expressed by the infinity ratio of.

In addition, the initial search interval is represented by L ₀ = [X _L , X _H ], the total number of tests is represented by n, and the golden ratio τ used in the present invention is calculated by calculating the median distance at the end as shown in Equation 2 below. Defined.

In the segment selection step (S120), the length of the search section is multiplied by the golden ratio τ to obtain a distance value L from the end point according to the golden ratio, and a node spaced apart by the distance value L from each end point. In this case, one node is spaced from ₀ as much as the navigation 0.382L interval minima P _L, the other one is a node search interval maximum points spaced apart by ₀ from 0.382L 0.618L P _H, but are spaced in the interval ₀ as the minimum point P _L .

In this way, if the search period is reduced n times by applying the golden ratio, the final uncertainty can be defined by Equation 3 below. As a result of the actual simulation, it was found that the optimal hydrological opening and closing head was found.

On the other hand, the drainage acquisition process for each node in the segment selection step (S120) is shown in FIG.

The discharge volume V _△ according to the hydro-open water head X _o and the hydro-closed water head X _c is the management level (

), So first, the volume of the lake (V),

), Chicken pox (

), Time (t) and drainage volume (V _△ ), respectively,

), The time when the water gate is open (X _o ), the time (t _o ) when reaching the water gate, and "0" (S11).

Next, the chicken pox (

After calculating the instantaneous drainage flow rate Q according to (S12) (S12), the volumetric volume of the lake after Δt is calculated by reflecting the change in the lake volume when draining the instantaneous drainage flow rate Q for a preset Δt. Corrected by Δt and integrating the drainage by _VΔ = _VΔ + QΔt (S13). Here, the calculation is based on the number of movable hydrologic and hydrologic data, and when the drainage is made through aberration, the drainage is also included. In general, the instantaneous drainage can be used by using the data obtained from the change in the discharge of water and the aberration, or as a function of water head difference. Instantaneous drainage during opening and closing can also be estimated.

Next, after reflecting the time elapsed t = t + Δt (S14),

) Is calculated based on the George data, and the sea level (

), The head pox (

Calculate).

Next, the chicken pox (

) Is reflected instantaneous drain flow rate is changed during closing the sluice when estimating the instantaneous drain flow since by operating the gates closed head difference by checking whether the X _c (S16) water gate closure head when the car X _c sluice closing operation Let's do it.

Next, it is checked whether the floodgate closure is completed (S18), and the process from the above instantaneous drainage flow rate (Q) calculation (S12) to the hydrologic closure head X _c determination (S16) until the floodgate is closed is repeated. do. Here, when the hydrological closure is completed, the final drainage amount (V _△ ), after the drainage on the lake (

), The volume of the lake after the drainage (V), the drainage completion time (t), the drainage start time (initial time t ₀ at the time of the hydrological opening head difference) and outputs the drainage acquisition process (S122).

It takes a certain time from the beginning of opening the gate to the full opening in the initial hydrological opening, so in addition to the influence of the head, the change in the cross-sectional area of the passage through the gate also affects the instantaneous drainage. In addition, the instantaneous drainage flow rate corresponding to the change in the cross-sectional area of the water supply is applied considering the time taken to completely close the floodgate, even when the floodgate is closed due to the flood closure head.

As described above, the segment point selection step including the drainage acquisition process (S120) and the search section resetting step (S130) are repeated until convergence check (N repetition), and then the final step, the selection step (S150), is a very narrow section. The final result of drainage, post-drainage lake volume, after-drainage lake volume, drainage completion time, and drainage start time were selected as the optimal hydrological opening / closing head difference within the search interval converged by Will output

Here, since the drainage amount for both end points of the last search section, the after-drain lake, the after-drain lake volume, the drainage completion time and the drainage start time are obtained in the drainage acquisition process (S122), the drainage amount at both end points of the final search section. Larger ones may be selected as the optimal hydrological opening and closing head.

In this way, the optimum hydrologic opening and closing head water, the maximum drainage amount, the drainage lake top, the drainage lake volume, the drainage start time and the drainage completion time obtained in the maximum drainage search step (S100) are transferred to the next generation maximum power generation search step (S200). It is then reflected in the initial conditions to start generating when there is high water after draining.

In the maximum power generation step (S200) shown in FIG. 8, the optimal power generation start number difference using the golden division method (

9 is a flow chart of a power generation acquisition process, and FIG. 10 is a graph showing a search process of a power generation start vehicle using a golden division method.

In the maximum power generation search step (S200), the search section [X _L , X _H ] for the power generation start head difference is set to a range in which the power generation amount gradually increases and then decreases as the power generation start head difference increases. An initialization step of initializing the variable n for countering the preset repetition number N to 1 (S210), selecting a node that divides the search section into two sections, calculating the amount of power generated at the node, and then starting optimal generation among the partitioned sections. Section search step (S220, S230) to select and delete the section that does not belong to the head difference according to the amount of power generation at the node, and reset the remaining section to the search section, each time the counter variable n is repeated by 1 Convergence condition confirmation step (S240), which narrows the search section by increasing the interval search step until it reaches the convergence condition N, and convergence tank In the search interval the time is reached and a selection step (S250) of selecting an optimum power generation start water head difference.

The search section [X _L , X _H ] initialized in the initialization step (S210) is at least a value larger than the minimum generation head difference, the minimum value and the maximum head generated in the rated head (the head for the rated operation of the generator) or experience The head head difference can be set to the maximum value, and in the case of the sihwaho lake, it can be set to approximately [2m, 6m] to be used in the initialization step.

In the section searching step (S220, S230), the search section is narrowed using the golden division method, and in detail, the end points X _L and X _{H of the} search section [X _L , X _H ] Select two nodes X ₁ = X _L + L and X ₂ = X _H -L spaced apart by the distance L = τ (X _H -X _L ) of the golden ratio τ of Equation 2 (S221), After comparing the power generation amount calculated at the two nodes with the segment selection step (S220) of calculating the power generation E ₁ = f (X ₁ ) and E ₂ = f (X ₂ ) (S222) at the selected two nodes (S222) S231) A node having a relatively large amount of power generation is deleted by deleting a section having one of a relatively small amount of power generation and a node that is adjacent to the end point (that is, an end point adjacent to the distance of the golden ratio τ). And a search section resetting step S230 for resetting the section including the search section to the search section (S232 and S233).

That is, if the power generation amount E ₂ at the X ₂ is smaller than the power generation amount E ₁ in X ₁ in the both side sections compartment relative to the X ₂ X ₁ deletes the one side region [X _2, X _H] free, and the remaining period [X _L, to reset the X _2] as the search range, and the power generation amount E ₁ in X ₁ without X ₂ in less than the power generation amount E ₂ at the X ₂ or equal to the both side sections compartment based on the X ₁ side sections [X _L Delete, X ₁ ] and reset the remaining sections [X ₁ , X _H ] to the search sections.

Acquisition (S222) of the generation amount E = f (X) for the power generation start head X selected as the node in the segment point selection step (S220) is made by the method shown in FIG. The process of acquiring power generation may be performed according to the method disclosed in the prior art document when the following initialization S21 is determined. Therefore, the process after the initialization S21 will be briefly described.

First, the volume of the lake V after draining and on the lake

In the maximum drainage search step (S100) after initializing the water volume after the drainage and drainage after the drainage according to the optimal hydrological opening and closing water head, the water head difference

Is initialized to node X, power generation is initialized to 0, and the time t is initialized to the time t ₀ from the head difference to the start generation head X, based on the tide prediction data at the time of power generation after drainage and the lake level after drainage (S21). ). Here, the minimum power generation head, which is a condition to end the power generation

And management

Is the preset value or the value input to the input unit. In addition, the number of generators operated as operating conditions is also reflected in the instantaneous inflow flow rate and power generation amount calculation.

Next, chicken pox

Calculate the instantaneous inflow flow rate Q according to (S22), calculate the power P when seawater flows into the instantaneous inflow flow rate Q for Δt, obtain power generation amount ΔE for Δt (S23), and then obtain △ The generation amount ΔE during t is integrated into the generation amount E (S24). Where power P is generator efficiency η, seawater density ρ, gravitational acceleration g, instantaneous inflow flow Q, and head head differential

Can be calculated as the product of.

Next, time t is changed to time t = t + Δt after Δt (S25), the lake volume amount V at the changed time is calculated (S26), and the head head difference

Calculate the (S27). Here, the lake volume amount V may be integrated with the flow rate introduced during Δt as the instantaneous inflow flow rate Q.

Is obtained based on the George data based on the change in volume, and then obtained as a drop between the sea level and the lake level according to the tide prediction data.

Next, the lake level manages the water level at the changed time t

Is greater than or equal to the minimum head

If smaller, the flow goes to the output step S29, and if not, the flow returns to the step S22 for calculating the instantaneous inflow flow rate Q.

In other words, the generation amount reflecting the change of instantaneous inflow flow is calculated and accumulated in each interval by △ t interval from the time when the generation start head difference occurs to the end of the generation condition, to obtain the generation amount that can be obtained during one tidal cycle can do.

In the output step S29, the total accumulated power generation amount, power generation start time and power generation end time are output.

As described above, the section searching steps (S220, S230) performed while calculating the amount of power generation for the nodes are repeated by N times of convergence conditions, and the search section is narrowed to the position having the optimum power generation start difference, and then finally narrowed in the output step (S250). The optimum power generation head difference is selected within the search section. Since the optimum power generation start head has been selected, the maximum power generation, power generation start time and power generation end time obtained during the calculation of power generation at the optimum power generation start head can be selected.

In this case, since the amount of power generation at both end points of the final search section is obtained during the repetition of the section search steps (S220 and S230), one end point having a relatively large amount of power generation is selected as the optimum power generation start head, and this end point Selects the maximum amount of generation in.

As compared with the prior art, the process of searching for the optimum power generation start head is as follows.

According to the prior art of all the search as shown in Fig. 2, the amount of power generation by calculating the amount of power generation at intervals of 0.1m to obtain a power generation graph with a certain precision for the initial search interval [2m, 6m] of the power generation start vehicle In order to obtain the power generation, a total of 41 generations should be calculated, and in order to increase the accuracy, the number of generations should be greatly increased since power generation by the generation start heading should be calculated at intervals smaller than 0.1m.

However, according to the present invention, as shown in Fig. 10, since the power generation amount needs to be calculated only at the node selected in order to narrow the search section, the number of power generation amount calculation can be greatly reduced.

Moreover, the golden ratio by equation (2)

By applying, the node whose relatively large amount of power is generated among the two nodes X ₁ and X ₂ selected in the search section becomes one of two nodes to be selected in the next search section (that is, the reduced search section). The amount of power generation is to be calculated for two nodes only, and the amount of power generation for only one of the two nodes is to be calculated in the subsequent search section.

For example, even if the section search steps S220 and S230 are repeated 10 times, as shown in FIG. 10, the power generation amount needs to be calculated only 11 times, that is, the number of repetitions +1. Can be greatly reduced.

In addition, instead of selecting one of the points where the initial search section is equally divided, the power generation amount is not selected, but the point where the maximum power generation amount can be obtained is more accurate, thereby obtaining more accurate results.

As described above, the optimum operation search step S5 for sequentially performing the maximum drainage search step S100 and the maximum power generation search step S200 is performed for each tidal cycle within the prediction period, and the optimal operational search step performed for each tidal cycle. The result of S5 is collected and output in the output step S7.

Here, the result of each tidal cycle includes the maximum drainage, the optimal hydrologic opening and closing, the drainage lake top, the drainage lake volume, the drainage start time and the drainage completion time as the result of the drainage, and the maximum power generation, the optimum as the result of the power generation. It may include the power generation start head, the power generation start time and the power generation end time.

As an example of the output of the result, referring to FIG. 11, a graph showing an optimal operation prediction result for 15 tidal cycles with initial values on the lake before draining is shown. According to this, the tide forecast data for each tidal cycle is displayed in a graph, and the drainage, power generation waiting, power generation and drainage waiting time, and changes on the lake are displayed, and thus, the schedule for optimal operation at a glance. It is easy to recognize. However, in addition to the optimal operation prediction result illustrated in FIG. 11, the result may be processed into various types of outputs.

Hereinafter, another embodiment of the maximum power generation amount search step S200 will be described.

12 is a flowchart of the maximum power generation search step S200a using the second interpolation method, and FIG. 13 is a graph showing a process of searching for a power generation start head difference using the second interpolation method.

The maximum power generation search step (S200a) using the second interpolation method is similar to the maximum power generation search step (S200) using the golden division method, the initialization step (S210), the section search step (S220, S230), the convergence condition checking step (S240). And the selection step (S250), but because the second interpolation method is used, there is a difference in the interval search step (S220, S230), there is also a difference in convergence conditions, will be described below with respect to the difference.

The convergence condition is set in advance by the iteration number N of the interval search steps S220 and S230 and the approximate satisfaction condition ε of the secondary function described later.

In the section search step (S220, S230), the segment selection step (S220) selects a random node X ₁ in the search section [X _L , X _H ] (S221), and then the amount of power generated at the node X ₁ is measured at both ends X _L and Checking whether the generation amount of X _H is relatively larger than the average (S222, S223), changing the node X ₁ until it is larger than the average, and finding an arbitrary node having the generation amount relatively larger than the average of the generation amount for both ends of the search section. Select the node as the first node X ₁ at, and then find the quadratic equation where both endpoints and the first node are the variable values of the function and the amount of power generated by the variable as the function value. A node corresponding to the maximum value is obtained from the coefficient of the quadratic function in order to treat it as an approximated second node λ ^* of the first node (S224).

That is, the quadratic function g (λ) = a + bλ + cλ ² for the variable λ is a curve passing through the power generation amount at both end points of the search section and the power generation amount at the first node. Approximation with functions The degree of approximation can be known as the difference between the first and second nodes.

In the section search step (S220, S230), the search section resetting step (S230) calculates the amount of power generated at the second node, and the amount of power generated for the first node is applied by applying a value obtained during the segment point selection step (S220). Among the first and second nodes, the section including the node with the large amount of generation is reset to the search section among the two sections segmented on the basis of the node with the smallest amount of generation. Delete to narrow the search section.

Specifically, when the first node X ₁ is greater than the second node λ ^* , the generation amount f (X ₁ ) at the first node X ₁ is greater than the generation amount f (λ ^* ) at the second node λ ^* . 2nd node λ ^* and the maximum search point X _H Is reset to the search section, and if the generation amount f (X ₁ ) at the first node X ₁ is less than or equal to the generation amount f (λ ^* ) at the second node λ ^* , the minimum point X _L and the first node X Reset between ₁ to search section.

However, the first node X ₁ is larger than the power generation amount f (λ ^*) in the second node to λ ^* is less than or equal to the first node power generation amount in the X ₁ f (X ₁₎ to the second node λ ^* search If the interval between the minimum point X _L and the second node λ ^* is reset to the search interval, and the amount of generation f (X ₁ ) at the first node X ₁ is less than or equal to the amount of generation f (λ ^* ) at the second node λ ^* Reset between the first node X ₁ and the search section maximum point X _H to the search section.

Next, in the converging condition checking step S240, when the number of repetitions of the interval searching steps S220 and S230 reaches N or the degree of approximation of the quadratic function value g (λ) reaches the approximation satisfying condition ε, If step S250 is reached, otherwise, the number of repetitions is increased by one and then the section searching steps S220 and S230 are repeatedly performed (S240).

Here, the approximate satisfaction of the quadratic function g (λ) uses a value at the second node λ ^* . Specifically, the difference between the quadratic function g (λ ^* ) and the generation amount f (λ ^* ) is generated. It is assumed that the absolute value of the value divided by (λ ^* ) is smaller than the approximate satisfaction condition ε.

Meanwhile, when the section search steps S220 and S230 are repeatedly performed, the remaining nodes belong to the reset search section except for the node selected to reduce the search section in the previous section search step, so that the remaining nodes belong to the first node. It is preferable to set the initial value of the first node in the selection process of S221, S222, and S223, that is, selecting the first node having a generation amount relatively larger than the average of the generation amounts for both end points of the search section.

In the case of using the second interpolation method as shown in FIG. 13, the value obtained by the approximation second function is initially different from the actual power generation amount (a) in a range in which the optimum power generation start difference can be obtained gradually. As the search period is reduced, the difference is reduced (b), and according to the results of three searches, the approximate satisfaction condition ε can be reached to obtain a quadratic function approximated to ignore the difference (c). It is possible to determine the nodal point (the first node or the second node and the one from which power generation is calculated during the search) as the optimal generation start number.

In addition, the number of generation calculations is four times when the first section search step is performed, and in the subsequent section search step, the amount of power generation for one node is calculated, so that the number of generations is 4+ (number of repetitions-1). On the other hand, the first node has no increase in the number of generation calculations when an appropriate value is designated as an initial value in the first section search step, and the probability that the first node uses the previously used nodes in the second section search step increases the number of generation calculations. Few.

FIG. 14 is a flowchart of a maximum power generation search step S200b using a secant method, and FIG. 15 is a graph showing a search process of a power generation start vehicle using a secant method.

The maximum power generation search step (S200b) using the secant method defines the change of power generation for the small change of the power generation start difference by the derivative value of the power generation calculation function at that point, that is, the slope, and the slope is 0. It adopts the method of finding the head start of the power generation. That is, the slope at the X point is defined as (f (X + ΔX) -f (X-ΔX)) / (2ΔX).

To this end, in the initializing step (S210), the previously set search section [X _L , X _H ] is set as the initial search section, and the initial search section is initialized so that the slopes of the opposite ends have the values of opposite signs. This condition is also satisfied when resetting at the stage. As described above, the preset search section [X _L , X _H ] is set to decrease after the power generation amount gradually increases, and thus f (X _L )> 0 and f '(X _H ) <0 satisfy this condition. .

The convergence condition is set to the minimum allowable value ε for the slope at the node determined within the search section in the process of repeating the section search step described later.

Section search step (S220, S230) is a segment selection step of selecting the node X ₁ of zero slope under the assumption that the slope is linearly changed with the increase in power generation start difference after calculating the slope of both end points of the search section. (S220), and deletes the section where the end point having a slope of the same sign as the slope of the node X ₁ in the both side sections that are partitioned based on the node X _1, and the search interval reset step of resetting the rest period as the search interval ( S230).

In the convergence condition checking step S240, the interval searching steps S220 and S230 are repeated until the slope at the node X ₁ is smaller than the minimum allowable value ε.

The selection step (S250) selects the node X ₁ in the section search step (S220, S230) that was performed last to satisfy the convergence condition as the optimum power generation start head.

More specifically, the section search steps S220 and S230 will be described. In the segment point selecting step S220, the point X _L + ΔX and the point X _L − are respectively increased by ΔX to the lowest point X _L of the search section. The difference between the amount of power calculated by △ X divided by 2 △ X and the lowest point X _L Inclination f 'gained (X _L) (S221), the search interval maximum dot is increased for each △ X to X _H X _H + △ point reducing and X X _H in - of a power generation amount calculated from the △ X differences Divide by 2 △ X to maximize the point X _H After obtaining the slope f '(X _H ) at (S222), the node whose slope becomes zero under the assumption that the slope changes linearly within the search interval.

(S223).

Search interval reset step (S230) is a node that is increased for each △ X to X ₁ X ₁ + △ point reducing and X X ₁ - dividing the difference between the power generation amount calculated from the △ X by 2 △ X at node X ₁ After obtaining the slope f '(X ₁ ) (S231), check the sign of the slope f' (X ₁ ) at node X ₁ (S232), and if it is less than 0, replace the maximum point of the search section with node X ₁ . If it is greater than or equal to 0 (S234), the lowest point of the search section is replaced with the node X ₁ (S233). That is, the reset, the both side sections partitioned by (X ₁₎ f 'f in the interval end point having a slope of a sign opposite to the sign of the (X ₁₎ as the search range.

Thus, the interval is not zero, and the section is deleted and reset, and the search section is reduced and reset, and the section search steps (S220 and S230) are repeatedly executed until the convergence condition is maintained while maintaining the condition that the slope symbols of both ends are different. do.

In addition, as illustrated in FIG. 15, it can be seen that as the interval search steps S220 and S230 are repeatedly performed, the slope is quickly moved to the point of zero, and the result that satisfies the convergence condition can be obtained with only eight iterations. . On the other hand, since the slope is used, the amount of power generation should be calculated twice for one node, but it can be seen that the number of generation amount calculation can be greatly reduced and the accuracy can be further increased as compared to the method of searching for electricity as in the prior art.

As a method using the derivative, the section search steps S220 and S230 may be configured using the quasi-newton method, but accordingly, the point having zero slope in the initial search section is not reduced. To follow along. However, in practice, the graph of the change in power generation for the power generation start head is not slow as the distance from the optimum power generation start head is to be found, so the section for finding the optimal power generation head when the pseudo-Newton method is used. The number of iterations of the search step may be large. Therefore, since the number of times of generating the power generation is relatively higher than the method using the secant method, the method using the secant method is preferable.

Meanwhile, the maximum power generation search step (S200) is configured to sequentially perform the maximum power generation search step using the golden division method, the maximum power generation search step using the second interpolation method, and the maximum power generation search step using the secant method. One of the three optimal power generation start heads obtained by sequentially applying the division method, the second interpolation method, and the secant method may be selected as the optimal power generation start car head.

On the other hand, the maximum power generation search step (S200) includes both the maximum power generation search step applying the golden division method, the maximum power generation search step applying the second interpolation method and the maximum power generation search step applying the secant method, but at the input unit You can also make sure that only selected search steps are performed.

On the other hand, the maximum displacement search step (S100) is also possible to configure the second interpolation method or the secant method (secant method), the optimal solution to be searched is the value that maximizes the drainage, not the maximum generation amount, Only the difference is that it is a vector component rather than a scalar value, and the interval search step is performed in the same way, and the convergence condition different from the golden division method is applied, so the maximum displacement search step using the quadratic interpolation method and the secant method is applied. The description is omitted.

FIG. 16 is a flowchart of another embodiment of the maximum displacement search step S100, and FIG. 17 is a detailed flowchart of the optimum hydrograph closing water search step S130a shown in FIG. 16, whereby the sea level is a lake level (management level). After obtaining the change rate on the lake at or near the point of time from the tide prediction data, the faster the change speed on the lake is, the faster the gate opening time is to determine the optimal hydrological opening head, and then the determined optimal The optimal hydrologic closing head to secure the maximum drainage rate while the hydrological opening head is fixed to the hydrological opening head is searched by applying any one of the above-mentioned golden division method, quadratic interpolation method and shunting method within a predetermined search range. .

According to the embodiment shown in Figs. 16 and 17, the golden dividing method is applied to search for the optimum hydrological closing head difference, but the second interpolation method or the secant method may be applied.

Referring to FIG. 16, the maximum drainage search step S100 is performed in the order of the initialization step S110a, the optimum hydrological water head search step S120a, the optimum hydrological water head search step S130a, and the output step S140a. .

The initializing step (S110a) designates the lake level immediately before the drainage as the management water level as a search initial condition for obtaining the optimum hydrological opening water difference (X _o ), and the drainage start time (t _o ) according to the change speed (v) above the lake. The function t _o = s (v) is determined as a preset function, and the search interval of the hydrologic closure head ([X _cL , X _cH ) is used as the initial condition for the search to obtain the optimal hydrograph closure (X _c ). ]) Is specified as a preset search section, and the counter variable n of the number of executions is initialized to n = 1 using the maximum number of executions (N) of the section search step described later as a convergence condition.

Here, the function t _o = s (v), which determines the start time of drainage (t _o ), advances the floodgates by a certain amount of time based on the time when the sea level becomes the same as the lake level (management level) when left without opening the floodgate. As a function of determining whether to open, the larger the sea level change rate v at the start of drainage, the greater the drainage start time t _o is set up in advance than the point at which the lake level becomes equal to the management level.

The sea level change rate v is calculated as the sea level change amount per unit time based on the tide prediction data.

As a specific embodiment, the function t _o = s (v) may be a function of determining an advance time interval of the drainage start time in proportion to the rate of change of the sea level.

Here, the drainage start time is preferably limited to a range from the time when the sea level and the lake level (management water level) become the same, to the point in time up to the time required to open the water gate.

In the optimum hydrological open water head search step (S120a), after performing the initialization step as described above, based on the tide prediction data, the lake level is searched for the same time as the lake level which is the management level, and the sea level at the found time point Calculating a change rate (S121a); Obtaining a drainage start time by substituting the calculated sea level change rate into the function t _o = s (v) (S122a); And acquiring the head head difference at the time of the drainage start time according to the tide prediction data and selecting the head head head as the optimal hydrograph opening head difference (S123a).

In other words, as the power generation mode is completed, the lake level is maintained at the management level, the sea level is gradually lowered, and the water head difference is also reduced, resulting in a time when the sea level becomes the same as the management level. It is to accelerate the time of opening the gate, and to maximize the amount of drainage by opening the gate of the gate completely.

Here, the rate of change of the sea level is the speed at which the sea level becomes the same as the management level when it is left without opening the floodgate, and may be set to a time earlier than the time when the sea level becomes the same as the management level for more accuracy. .

The optimum hydrological water head searching step (S130a) starts draining at the optimum hydrological water head opening selected in the optimum hydrological water opening head search step (S120a), while varying the hydrological water closing water head within the search period, The calculation is a step of searching for an optimum hydrograph closure head that can secure a maximum drainage amount, and FIG. 17 shows an embodiment to which the golden division method is applied.

Referring to FIG. 17, similarly to the golden division method described with reference to FIG. 7, when a segment search step consisting of segment selection steps S131a, 132a and S133a and search section reset steps S134a and S135a is reached, a convergence condition is reached. Convergence condition checking step (S136a) to repeat the interval search step until, and the selection step (S137a) for selecting the optimal value in the search section when the convergence condition is reached.

The difference is that after selecting the optimal hydro-opening head, the search is only a scalar value, not a vector, and the optimal hydro-opening head is selected when the drainage at the node is obtained. Since it is fixed to, the detailed description with reference to FIG. 17 is omitted.

Meanwhile, although only an embodiment to which the golden division method is applied is shown in FIG. 17, an optimal hydrograph closure head difference may be obtained by applying the above-described second interpolation method or the partial line method.

As described above with reference to FIG. 6, the output step (S140a) may select a drainage start time and an optimum hydrologic closing head which are obtained when the optimum hydrological opening head, the optimal hydro closing head, and the optimum hydrological opening head are selected. The maximum amount of water obtained at the time, after the drain on the lake and the drainage completion time is output to be passed to the maximum power generation search step (S200) to be used.

Thus, by obtaining the optimum hydrological water head difference based on the tide prediction data and the rate of change of the sea level, and then obtaining the optimum hydrological water closing head difference, while reducing the calculation amount compared to the embodiment shown in FIG. The correct solution can be obtained.

Although illustrated and described in the specific embodiments to illustrate the technical spirit of the present invention, the present invention is not limited to the same configuration and operation as the specific embodiment as described above, within the limits that various modifications do not depart from the scope of the invention It can be carried out in. Therefore, such modifications should also be regarded as belonging to the scope of the present invention, and the scope of the present invention should be determined by the claims below.

[Description of the code]

10: database part

20: input unit

30: optimal operation navigation unit

  31: tide prediction unit 32: condition setting unit

  33: maximum displacement search unit 34: maximum power generation search unit

40: output unit

Claims (12)

1. The search section for the power generation start head is set to a range in which the generation amount gradually increases and decreases as the power generation start head increases, and the optimal operation prediction result maximizes the generation amount for the prediction period inputted by the input unit 20. In the single-flow creative tidal power generation optimal operation prediction method made by the optimum operation search unit 30 to generate and output to the output unit 40,

   An input step (S1) in which the optimal operation search unit 30 receives a prediction period through the input unit 20;

   A tide prediction step (S2) of the optimal operation search unit 30 generating tide prediction data for the prediction period based on the tide data;

   Optimal operation search including the maximum power generation search step (S200) for the optimal operation search unit 30 to search for the optimal power generation start head difference that the maximum amount of power generation based on the tide prediction data, the George data, and the water level after the drainage. Step S5;

   An output step S7 of the optimum operation search unit 30 outputting an optimum operation prediction result including an optimum power generation start head difference;

   Including,

   The maximum power generation step (S200)

   Select the node that divides the search section into two sections, calculate the amount of power generated at the node, and select and delete the sections that do not belong to the optimum power generation start difference among the divided sections according to the size of the generation, and then delete the remaining sections as the search sections. A section search step (S220, S230) for resetting;

   A convergence condition checking step (S240) for repeating the interval search step until a preset convergence condition is reached;

   A selection step (S250) of selecting one point within a search section when a preset convergence condition is reached as an optimum power generation start number difference having a maximum amount of power generation;

   Single-flow creative tidal power generation optimal operating method comprising a.
2. The method of claim 1,

   The section searching step (S220, S230) is

   Select nodes separated from each end of the search section by the distance of the predetermined golden ratio, obtain power generation from the two selected nodes, and then select nodes with relatively high power generation. A method for predicting optimal operation of single-flow creative tidal power generation, which consists of a golden division method that deletes one section partitioned by a node with a relatively small amount of power generation by resetting the included section to a search section.
3. The method of claim 2,

   The golden ratio is

   

   Optimal operation prediction method of single-flow creative tidal power generation
4. The method of claim 1,

   The section searching step (S220, S230) is

   Select the first node with the generation amount relatively larger than the average of the generation amount for both ends of the search section, and select the node corresponding to the maximum value of the second function that represents the generation amount for both end points and the generation amount for the first node. After calculating the amount of power generation to the first and second nodes as the second node, the section including the node with the higher generation amount is reset to the search section based on the node with the smaller generation amount among the first and second nodes. Optimal operation forecasting method for single-flow creative tidal power generation consisting of a second interpolation method that deletes one section divided into nodes with small power generation.
5. The method of claim 1,

   The section searching step (S220, S230) is

   The slope is obtained by changing the amount of power generated by the small change in the starting head of the power generation.After calculating the slope of both ends of the search section, the slope is assumed to change linearly with the increase in the starting head of the power generation. Is a secant method that selects a node with 0, deletes a section with an endpoint with the same sign slope as the slope at the node, and resets another section to the search section. Optimal operation prediction method of single-flow creative tidal power generation.
6. The method according to any one of claims 1 to 5,

   The optimal operation search step (S5)

   In order to secure the maximum drainage, search for the optimal hydrological opening and the optimal hydrologic closing head to secure the maximum drainage for the lake maintained at the management level based on the tide forecast data, the George data, and the management level at the time of drainage. Prior to the maximum amount of water search step (S100) to obtain a lake after the drain according to the maximum power generation step (S200),

   Single-flow creative tidal power generation optimal prediction method of the after-drainage lake at the time of calculating the amount of power generation in the maximum power generation step (S200) is the after-drainage lake obtained in the maximum drainage step (S100).
7. The method of claim 6

   The maximum displacement search step (S100) is

   Preset relational equation that calculates the sea level change rate at the time when the lake level becomes the management level as the sea level change amount per hour, and then sets the drainage start time earlier than the time when the lake level becomes the management level. Determining the drainage start time according to the seawater level change rate, and selecting an optimum headgate opening head at the selected drainage start time as an optimal hydrograph opening headway (S120a);

   The optimal hydrological closure head search step is to start the drainage at the optimal hydrological opening head, and to vary the hydrological closure head within a predetermined search interval, and to find the optimal hydrological closure head to secure the maximum drainage by calculating the displacement. (S130a);

   Single-flow creative tidal power generation optimal operating method comprising a.
8. The method of claim 7,

   In step (S120a) of the optimum hydrological opening water head shift step advance time interval of the drainage start time is a single-flow type tidal power generation optimal operation prediction method in proportion to the rate of change in sea level.
9. The method of claim 7,

   The optimum hydrological water closing head search step (S130a) is

   Select a node that divides the pre-set hydrologic closing head into two sections, calculate the drainage at the node, then select and delete the section that does not belong to the optimal hydrological closing head according to the displacement, and delete the remaining sections. A section search step of resetting to a value;

   A convergence condition checking step of repeating the section search step until a preset convergence condition is reached;

   A selection step of selecting an optimal hydrograph closure headway in a search section when a preset convergence condition is reached;

   Single-flow creative tidal power generation optimal operating method comprising a.
10. The method of claim 9,

    The section searching step

    Select nodes that are spaced apart from each other by a predetermined golden ratio distance from both ends of the search section for hydrologic closure headwater, obtain the drainage from the two selected nodes, and divide them based on the nodes with relatively small drainage. Golden division method that resets the section including the node with large drainage among the selected sections to the search section,

    Select the first node that has a larger displacement than the mean of the discharges at both ends of the search zone of the hydrologic closure head, and the maximum of the second function that represents the displacement at both ends of the search zone and the discharge at the first node. After obtaining the drainage amount from the first and second nodes using the node corresponding to the second node, the node with the larger drainage rate is determined among the two sections divided by the node with the smaller drainage amount among the first and second nodes. Quadratic interpolation to reset the included section to the search section, and

    The slope is obtained by changing the drainage amount according to the small change of the hydrologic closure head, and the slope is calculated on the assumption that the slope changes linearly with the increase of the hydrological closure head. A secant method that selects a node with 0 and resets a section with endpoints with a description of the sign different from the slope at the node among the two sections based on the node.

    Optimal operation prediction method of single-flow creative tidal power generation which consists of any one of them.
11. The method of claim 6

    The maximum displacement search step (S100) is

    The search section is divided into two sections, with the search section of the hydrology gate head having a vector value set as the x-axis component and the hydrograph closure head as the y-axis component between two points on the coordinate plane. Section search step (S120, S130) that selects a node to be divided by the node, calculates the drainage amount at the node, selects and deletes the section that does not belong to the optimal hydrological opening / closing water difference, and resets the remaining section to the search section (S120, S130) ;

    A convergence condition checking step S140 of repeating the section searching step until a preset convergence condition is reached;

    A selection step (S150) of selecting an optimum hydrological opening / closing head difference in a search section when a preset convergence condition is reached;

    Single-flow creative tidal power generation optimal operating method comprising a.
12. The method of claim 11

    The section searching step (S120, S130) is

    Select nodes that are spaced apart from each other by the distance of the pre-set golden ratio, and obtain the drainage from the two selected nodes. Golden division method to reset the section including the node with large drainage amount to the search section,

    Select the first node that has a larger displacement than the average of the drains at both ends of the search section, and select the node corresponding to the maximum value of the second function representing the drainage at both ends of the search section and the drainage at the first node. After estimating the drainage amount at the 1st and 2nd nodes as the 2nd node, the section including the node with the larger drainage amount among the both sections partitioned based on the node with the smaller drainage amount among the 1st and 2nd nodes Quadratic interpolation, reset to

    The slope is obtained by changing the drainage amount according to the small change of the hydrologic gate, and the slope is calculated under the assumption that the slope changes linearly with the increase of the hydrological gate. A secant method that selects a node with 0, deletes a section with endpoints with the same sign slope as the slope at the node, and resets another section to the search section.

    Optimal operation prediction method of single-flow creative tidal power generation which consists of any one of them.

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