CN113642256A - Practical gate opening and closing optimization method based on theme database - Google Patents
Practical gate opening and closing optimization method based on theme database Download PDFInfo
- Publication number
- CN113642256A CN113642256A CN202111184268.1A CN202111184268A CN113642256A CN 113642256 A CN113642256 A CN 113642256A CN 202111184268 A CN202111184268 A CN 202111184268A CN 113642256 A CN113642256 A CN 113642256A
- Authority
- CN
- China
- Prior art keywords
- flow
- river channel
- gate
- upstream
- gate opening
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000005457 optimization Methods 0.000 title claims abstract description 30
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 54
- 238000011144 upstream manufacturing Methods 0.000 claims abstract description 36
- 238000010248 power generation Methods 0.000 claims abstract description 23
- 230000006870 function Effects 0.000 claims abstract description 20
- 238000012545 processing Methods 0.000 claims abstract description 6
- 238000013135 deep learning Methods 0.000 claims abstract description 3
- 238000012544 monitoring process Methods 0.000 claims description 34
- 238000011156 evaluation Methods 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 7
- 238000004422 calculation algorithm Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 abstract description 11
- 230000000694 effects Effects 0.000 description 11
- 238000010586 diagram Methods 0.000 description 7
- 238000010276 construction Methods 0.000 description 5
- 230000002262 irrigation Effects 0.000 description 5
- 238000003973 irrigation Methods 0.000 description 5
- 238000012986 modification Methods 0.000 description 5
- 230000004048 modification Effects 0.000 description 5
- 238000004590 computer program Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000011835 investigation Methods 0.000 description 3
- 230000004044 response Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 239000002351 wastewater Substances 0.000 description 2
- 230000002411 adverse Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000011234 economic evaluation Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 239000013049 sediment Substances 0.000 description 1
- 238000004062 sedimentation Methods 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/04—Constraint-based CAD
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/08—Fluids
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Computer Hardware Design (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a practical gate opening and closing optimization method based on a subject database, which is characterized by collecting demand data, processing and calculating the data, establishing a target function and constraint conditions, and searching for an optimal solution by utilizing deep learning; according to the obtained flow state, flow parameters and river channel parameters of the outlet, the current available power generation flow and the actually required power generation flow of the hydropower station in each period are calculated to obtain the abandoned water flow and abandoned water volume, the residual reservoir capacity of the upstream river channel is calculated, and the gate opening and closing optimization objective function and constraint conditions are designed, so that the water use requirements of all parties are comprehensively considered in the operation process of the hydropower station, the water resource is fully saved, and meanwhile, the loss caused by manual misoperation is avoided.
Description
Technical Field
The invention relates to the technical field of computers and water conservancy and hydropower, in particular to a practical gate opening and closing optimization method based on a theme database.
Background
The operation of the hydropower station needs to take multiple benefits of flood control, power generation, shipping, ecology and the like into consideration, so that the daily work is complex. Especially in flood season, as the hydropower stations are provided with different types of gates, the opening modes of the different gates are different and complicated, and the requirement on the linkage response speed is high, most of the dispatching personnel of the hydropower stations need to comprehensively consider various factors and carry out complicated manual calculation according to the operation experience so as to obtain a gate dispatching order.
There are many methods for gate start and stop optimization, and a cascade hydropower station EDC and gate automatic optimization linkage method and system proposed by Liu Bao power and the like mainly comprise: calculating the current available power generation flow of each cascade power station according to the acquired warehousing flow, ecological flow and irrigation flow; according to the obtained step total load, adopting an EDC load distribution strategy to carry out load distribution of each step hydropower station and calculate the required generating flow of each step hydropower station; taking the irrigation flow as the flow needing to be discharged in response to the fact that the current available power generation flow of the cascade power station is smaller than or equal to the corresponding required power generation flow or the fact that the current available power generation flow of the cascade power station is larger than the corresponding required power generation flow and the water level does not exceed the flood limit water level at the end of the time period calculated according to the redundant power generation amount; responding to the fact that the current available generating flow of the cascade power station is larger than the corresponding required generating flow and the time-interval end water level calculated according to the redundant generating flow exceeds the flood limit water level, and calculating the flow needing to be discharged according to the time-interval end water level, the flood limit water level and the irrigation flow; and constructing a gate opening and closing scheme of the step power station according to the required downward discharge flow, and controlling gate linkage.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems: the consideration is comprehensive inadequately among the power station operation process, and water resource utilization ratio remains to further improve, and the model construction is comparatively complicated, is difficult to realize unified accurate dispatch to a plurality of river courses, does not have higher economic nature, and information resource utilization is not enough.
Disclosure of Invention
The embodiment of the application provides a practical gate opening and closing optimization method based on a theme database, and solves the following problems in the prior art: the consideration is comprehensive inadequately among the power station operation process, and water resource utilization ratio remains to further improve, and the model construction is comparatively complicated, is difficult to realize unified accurate dispatch to a plurality of river courses, does not have higher economic nature, and information resource utilization is not enough. The control of the opening and the closing of the gate is optimized, and stable service is provided for information resources of the hydropower station.
The technical scheme of the invention is as follows:
a practical gate opening and closing optimization method based on a theme database is characterized by collecting demand data, processing and calculating the data, establishing a target function and constraint conditions, and searching for an optimal solution by utilizing deep learning.
S1, acquiring state parameters of a gate and monitoring state data of a river channel, calculating the water disposal volume of a hydropower station and the residual reservoir volume of an upstream river channel, and setting a target function and a constraint condition for gate opening and closing optimization;
and S2, establishing a depth network to train and learn all river channel monitoring state data and river channel warehousing flow, obtaining control instruction combinations of different gates, and forming a subject database for gate opening and closing control after optimization.
Preferably, the step S1 specifically includes:
and predicting the available power generation flow of the hydropower station in the ith acquisition period according to the flow parameters and the channel parameters of the upstream channel at the end of the ith-1 acquisition period aiming at the ith acquisition period of the upstream channel to obtain the abandoned water flow and the abandoned water volume of the ith acquisition period.
Preferably, the step S1 specifically includes:
and calculating the maximum flow which can be stored in the upstream riverway according to the riverway parameters of the upstream riverway. The method comprises the steps of firstly obtaining the current maximum reservoir capacity of an upstream river according to parameters of the upstream river, adopting the prior art to calculate the maximum reservoir capacity, and then obtaining the current real-time reservoir capacity according to the current water level of the upstream river, so as to obtain the residual reservoir capacity.
And calculating the warehousing flow interval of the downstream river channel according to the water abandoning volume of the hydropower station and the residual warehouse capacity of the upstream river channel. And the warehousing flow interval of the downstream river channel is used as a constraint condition. And establishing an objective function for gate opening and closing optimization.
Preferably, the step S2 specifically includes:
the method comprises the steps of carrying out unified and accurate control on gates according to all river channel monitoring state data, setting a depth network to train and learn all river channel monitoring state data and river channel warehousing flow, wherein the depth network adopts the prior art. And inputting the current monitoring state data of all the river channels into a depth network to obtain the optimal warehousing flow of all the river channels, thereby obtaining the control instruction combinations of different gates.
Preferably, the step S2 specifically includes:
and combining the river channel monitoring state data of the current period, the warehousing flow of the current period and the gate control instruction and inputting the combination into an evaluation algorithm to obtain a total evaluation value of the gate.
The invention has the beneficial effects that:
1. according to the obtained flow state, flow parameters and river channel parameters of the outlet, the current available power generation flow and the actually required power generation flow of the hydropower station in each period are calculated to obtain the abandoned water flow and abandoned water volume, the residual reservoir capacity of the upstream river channel is calculated, and the gate opening and closing optimization objective function and constraint conditions are designed, so that the water requirements of all parties are comprehensively considered in the operation process of the hydropower station, the water resource is fully saved, and meanwhile, the loss caused by manual misoperation is avoided;
2. the optimal warehousing flow and the gate control instruction are obtained by inputting the river channel monitoring state data into the depth network, the gate is controlled according to the control instruction, the gate control is directly carried out through the control instruction, the problem that an accurate physical model needs to be established in the prior art is avoided, the warehousing and ex-warehousing flow of each river channel is uniformly and accurately scheduled, the safety of a downstream river channel is guaranteed, the economic effect maximization is realized, a theme database is formed, and stable service is provided for information resources of a hydropower station.
3. The technical scheme of this application can effectively solve power station operation in-process consideration comprehensive inadequately, and water resource utilization ratio remains further to be improved, and the model construction is comparatively complicated, is difficult to realize unified accurate dispatch to a plurality of river courses, does not have higher economic nature, and the problem that information resource utilization ratio is not enough to, above-mentioned method has passed through a series of effect investigation, finally can realize optimizing the opening and closing control of gate, provides stable service for the information resource of power station.
Drawings
FIG. 1 is a flow chart of a method for optimizing the opening and closing of a utility gate based on a subject database according to the present application;
FIG. 2 is a flow chart of gate opening and closing optimization control according to the present application.
Detailed Description
The embodiment of the application provides a practical gate opening and closing optimization method based on a theme database, and solves the problems that in the prior art, consideration is not comprehensive enough in the operation process of a hydropower station, the water resource utilization rate is required to be further improved, the model construction is complex, unified and accurate scheduling is difficult to realize for a plurality of river channels, the method is not high in economical efficiency, and the information resource utilization rate is not enough.
In order to solve the above problems, the technical solution in the embodiment of the present application has the following general idea:
according to the obtained flow state, flow parameters and river channel parameters of the outlet, the current available power generation flow and the actually required power generation flow of the hydropower station in each period are calculated to obtain the abandoned water flow and abandoned water volume, the residual reservoir capacity of the upstream river channel is calculated, and the gate opening and closing optimization objective function and constraint conditions are designed, so that the water requirements of all parties are comprehensively considered in the operation process of the hydropower station, the water resource is fully saved, and meanwhile, the loss caused by manual misoperation is avoided; the optimal warehousing flow and the gate control instruction are obtained by inputting the river channel monitoring state data into the depth network, the gate is controlled according to the control instruction, the gate control is directly carried out through the control instruction, the problem that an accurate physical model needs to be established in the prior art is avoided, the warehousing and ex-warehousing flow of each river channel is uniformly and accurately scheduled, the safety of a downstream river channel is guaranteed, the economic effect maximization is realized, a theme database is formed, and stable service is provided for information resources of a hydropower station.
In order to better understand the technical solution, the technical solution will be described in detail with reference to the drawings and the specific embodiments.
Referring to fig. 1, the utility gate opening and closing optimization method based on the theme database includes the following steps:
s1, acquiring state parameters of a gate and monitoring state data of a river channel, calculating the water disposal volume of a hydropower station and the residual reservoir volume of an upstream river channel, and setting a target function and a constraint condition for gate opening and closing optimization;
s11, the hydropower station mainly comprises four parts, namely a water retaining building (dam), a flood discharge building (gate), a water diversion building (a diversion canal or a tunnel) and a power station factory building. The hydropower station is provided with gates of different types, the plurality of gates run coordinately, flow regulation and flood control are realized, different opening modes of the different gates are different and complicated, and the requirement on linkage response speed between the gates is high.
The method comprises the steps of collecting gate state parameters and river monitoring state data, wherein the gate state parameters mainly refer to the opening and closing degree of a gate, the operation state of a gate control system, the power state of a control device and the interface conversion state. The river channel monitoring state data comprise flow parameters, river channel parameters and meteorological hydrological information; the flow parameters comprise the outlet flow of the hydropower station, the inlet flow of the hydropower station, ecological flow and irrigation flow, wherein the outlet flow mainly refers to gate drainage flow and power generation flow; the river channel parameters comprise hydropower station tail water levels, upstream and downstream river channel sediment contents, upstream and downstream river channel sedimentation conditions and upstream and downstream river channel variation values. And forming an acquisition period by taking u minutes as a step length, and dynamically monitoring and recording the gate state parameters and river monitoring state data in each period.
And S12, in the real-time scheduling process, along with the increase of installed capacity of the hydropower station, the generation of factors such as equipment faults and the like, the power generation flow of the hydropower station is changed, the water level and the flow of a downstream river channel are fluctuated, and the economy is not realized. In order to avoid adverse effects on downstream riverways and maximize economic effects, unified and accurate scheduling of warehouse-in and warehouse-out flow of each riverway is needed.
S121, the flow state of the outlet of the gate is judged, the flow of the outlet of the gate is judged according to whether the gate body has a constraint effect on the drainage and whether the water level under the gate influences the flow of the outlet of the gate, the drainage of the gate of the hydropower station is divided into four flow states of gate hole free drainage, gate hole submerged drainage, free weir flow and submerged weir flow, and different flow states correspond to different flow circulation modes of the water discharge.
And predicting the available generating flow of the hydropower station in the ith acquisition period according to the flow parameters and the channel parameters of the upstream channel at the end of the (i-1) th acquisition period aiming at the ith acquisition period of the upstream channel. The calculation formula of the available power generation flow in the ith acquisition period is as follows:
wherein,
the available generation flow for the ith collection period,
is the total warehousing flow of the i-1 acquisition period,
is the ecological flow of the i-1 acquisition period,
the irrigation flow rate of the collection period is i-1. The reject flow rate of the ith acquisition cycle is:
，
the flow rate required for actual power generation for the ith acquisition period.
Obtaining waste water volume by waste water flow
：
Wherein,
、
、
respectively a weir flow coefficient, a hole flow coefficient and a submerging coefficient,
in order to clear the width of the gate,
the opening degree of the gate is set as the opening degree,
in order to be the gravity coefficient,
the water head is acted above the weir crest,
is the cycle step.
And S122, calculating the maximum flow which can be stored in the upstream river channel according to the river channel parameters of the upstream river channel. Firstly, the current maximum reservoir capacity of the upstream river channel is obtained according to the parameters of the upstream river channel
The calculation method of the maximum library capacity adopts the prior art. Then, the current real-time reservoir capacity is obtained according to the current water level of the upstream river channel
Thereby obtaining the remaining library capacity
。
The water flow discharged into the downstream river channel of the upstream river channel is the warehousing flow of the downstream river channel, and the warehousing flow interval of the downstream river channel is calculated according to the water abandoning volume of the hydropower station and the residual warehouse capacity of the upstream river channel:
and the warehousing flow interval of the downstream river channel is used as a constraint condition. Setting an objective function for gate opening and closing optimization:
wherein,
representing the water level fluctuation difference value of all the river channels,
representing an economic cost.
The beneficial effects of the step S1 are as follows: according to the obtained flow state, flow parameters and river channel parameters of the outlet, the current available power generation flow and the actually required power generation flow of the hydropower station in each period are calculated to obtain the abandoned water flow and abandoned water volume, the residual reservoir capacity of the upstream river channel is calculated, and the gate opening and closing optimization objective function and constraint conditions are designed, so that the water requirements of all parties are comprehensively considered in the operation process of the hydropower station, the water resource is fully saved, and meanwhile, the loss caused by manual misoperation is avoided.
And S2, establishing a depth network to train and learn all river channel monitoring state data and river channel warehousing flow, obtaining control instruction combinations of different gates, and forming a subject database for gate opening and closing control after optimization.
And S21, uniformly and accurately controlling the gate according to all the river channel monitoring state data, as shown in FIG. 2, establishing a depth network to train and learn all the river channel monitoring state data and the river channel warehousing flow, wherein the depth network adopts the prior art. And inputting the current monitoring state data of all the river channels into a depth network to obtain the optimal warehousing flow of all the river channels, thereby obtaining the control instruction combinations of different gates. The calculation formula of the gate control instruction is as follows:
wherein,
the opening degree of the gate is defined. And controlling the gate according to the control instruction of the gate to obtain river monitoring state data of the next period.
And S22, combining the river channel monitoring state data of the current period, the warehousing flow of the current period and the gate control instruction and inputting the combination into an evaluation algorithm to obtain a total evaluation value of the gate. The evaluation directions include: safety, efficiency and economy. The total evaluation value
The calculation formula of (2) is as follows:
wherein,
、
、
respectively, a safety evaluation function, an efficiency evaluation function and an economic evaluation function, wherein F is an objective function value. And sequencing the total evaluation values from large to small, and selecting the maximum total evaluation value which meets the constraint condition, wherein the combination of the river monitoring state data, the warehousing flow and the gate control instruction corresponding to the maximum total evaluation value is the optimal solution. And the warehousing flow is the optimal warehousing flow of the corresponding river channel monitoring state data.
S23, setting a theme database according to different river monitoring state data, wherein the specific theme setting mode is as follows: based on the meteorological hydrological information, theme databases with different meteorological conditions and different rainfall are set up, and each database comprises gate control instruction combinations corresponding to different river monitoring state data under the current meteorological conditions and the rainfall conditions.
After the theme database is formed, after the river channel monitoring state data are collected each time, corresponding gate control instructions are searched in the theme database. And if the corresponding gate control instruction cannot be searched in the theme database, intelligently generating the corresponding gate control instruction through a deep network method, and forming a data table by the currently acquired river monitoring state data and the corresponding gate control instruction and storing the data table into the corresponding theme database.
It should be noted that the specific steps for obtaining the optimal warehousing traffic of all the channels are not limited, and can be set according to the actual english requirement. For example, in an alternative example in which the deep network includes five deep fully connected layers, step S21 may include the following sub-steps:
inputting the river channel monitoring state data of the current period into a first depth full-link layer to obtain a first result; inputting the first result into a second depth full-link layer to obtain a second result; inputting the second result into a third depth full-link layer to obtain a third result; inputting the third result into a fourth depth full-link layer to obtain a fourth result; and inputting the fourth result into a fifth depth full-connection layer to obtain the optimal warehousing flow of all the river channels in the current period. And then inputting the optimal warehousing flow into a calculation formula of the gate control instruction to obtain the opening and closing degree of the gate, thereby generating the gate control instruction.
The beneficial effects of the step S2 are as follows: the optimal warehousing flow and the gate control instruction are obtained by inputting the river channel monitoring state data into the depth network, the gate is controlled according to the control instruction, the gate control is directly carried out through the control instruction, the problem that an accurate physical model needs to be established in the prior art is avoided, the warehousing and ex-warehousing flow of each river channel is uniformly and accurately scheduled, the safety of a downstream river channel is guaranteed, the economic effect maximization is realized, a theme database is formed, and stable service is provided for information resources of a hydropower station.
In conclusion, the method for optimizing the opening and closing of the practical gate based on the theme database is completed.
The technical scheme in the embodiment of the application at least has the following technical effects or advantages:
according to the obtained flow state, flow parameters and river channel parameters of the outlet, the current available power generation flow and the actually required power generation flow of the hydropower station in each period are calculated to obtain the abandoned water flow and abandoned water volume, the residual reservoir capacity of the upstream river channel is calculated, and the gate opening and closing optimization objective function and constraint conditions are designed, so that the water requirements of all parties are comprehensively considered in the operation process of the hydropower station, the water resource is fully saved, and meanwhile, the loss caused by manual misoperation is avoided;
the optimal warehousing flow and the gate control instruction are obtained by inputting the river channel monitoring state data into the depth network, the gate is controlled according to the control instruction, the gate control is directly carried out through the control instruction, the problem that an accurate physical model needs to be established in the prior art is avoided, the warehousing and ex-warehousing flow of each river channel is uniformly and accurately scheduled, the safety of a downstream river channel is guaranteed, the economic effect maximization is realized, a theme database is formed, and stable service is provided for information resources of a hydropower station.
Effect investigation:
the technical scheme of this application can effectively solve power station operation in-process consideration comprehensive inadequately, and water resource utilization ratio remains further to be improved, and the model construction is comparatively complicated, is difficult to realize unified accurate dispatch to a plurality of river courses, does not have higher economic nature, and the problem that information resource utilization ratio is not enough to, above-mentioned method has passed through a series of effect investigation, finally can realize optimizing the opening and closing control of gate, provides stable service for the information resource of power station.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (5)
1. A practical gate opening and closing optimization method based on a theme database is characterized by comprising the following steps: the method comprises the following steps: acquiring demand data, processing and calculating the data, establishing a target function and constraint conditions, and searching for an optimal solution by utilizing deep learning;
specifically, S1, acquiring state parameters of a gate and monitoring state data of a river channel, calculating the water disposal volume of a hydropower station and the residual reservoir volume of an upstream river channel, and setting a target function and a constraint condition for gate opening and closing optimization;
and S2, establishing a depth network to train and learn all river channel monitoring state data and river channel warehousing flow to obtain control instruction combinations of different gates to form a subject database for gate opening and closing control after optimization.
2. The utility gate opening and closing optimization method based on the theme database as claimed in claim 1, wherein the step S1 specifically comprises:
and predicting the available power generation flow of the hydropower station in the ith acquisition period according to the flow parameters and the channel parameters of the upstream channel at the end of the ith-1 acquisition period aiming at the ith acquisition period of the upstream channel to obtain the abandoned water flow and the abandoned water volume of the ith acquisition period.
3. The utility gate opening and closing optimization method based on the theme database as claimed in claim 2, wherein the step S1 specifically comprises:
calculating the maximum flow which can be stored by the upstream riverway according to the riverway parameters of the upstream riverway, firstly obtaining the current maximum reservoir capacity of the upstream riverway according to the upstream riverway parameters, wherein the calculation method of the maximum reservoir capacity adopts the prior art, and then obtaining the current real-time reservoir capacity according to the current water level of the upstream riverway, so as to obtain the residual reservoir capacity;
calculating a warehousing flow interval of the downstream river channel according to the water abandoning volume of the hydropower station and the residual warehouse capacity of the upstream river channel, wherein the warehousing flow interval of the downstream river channel is used as a constraint condition; and establishing an objective function for gate opening and closing optimization.
4. The utility gate opening and closing optimization method based on the theme database as claimed in claim 1, wherein the step S2 specifically comprises:
the method comprises the steps of carrying out unified and accurate control on gates according to all river channel monitoring state data, setting a depth network to train and learn all river channel monitoring state data and river channel warehousing flow, inputting all current river channel monitoring state data into the depth network to obtain the optimal warehousing flow of all river channels, and accordingly obtaining control instruction combinations of different gates.
5. The utility gate opening and closing optimization method based on the theme database as claimed in claim 1, wherein the step S2 specifically comprises:
and combining the river channel monitoring state data of the current period, the warehousing flow of the current period and the gate control instruction and inputting the combination into an evaluation algorithm to obtain a total evaluation value of the gate.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111184268.1A CN113642256B (en) | 2021-10-12 | 2021-10-12 | Practical gate opening and closing optimization method based on theme database |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111184268.1A CN113642256B (en) | 2021-10-12 | 2021-10-12 | Practical gate opening and closing optimization method based on theme database |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113642256A true CN113642256A (en) | 2021-11-12 |
| CN113642256B CN113642256B (en) | 2022-01-25 |
Family
ID=78426355
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111184268.1A Active CN113642256B (en) | 2021-10-12 | 2021-10-12 | Practical gate opening and closing optimization method based on theme database |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113642256B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114046984A (en) * | 2022-01-12 | 2022-02-15 | 北京恒润安科技有限公司 | Gate fault troubleshooting device based on phase method laser ranging |
| CN118409571A (en) * | 2024-07-01 | 2024-07-30 | 国能大渡河金川水电建设有限公司 | Control system, method and system for ecological drainage flow of hydropower station |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2963896B1 (en) * | 1998-06-29 | 1999-10-18 | 康則 奈良 | Water lock mechanism with valve control device |
| CN102296562A (en) * | 2010-06-25 | 2011-12-28 | 华东电网有限公司 | Step reservoir joint flood scheduling optimization method coupling flood protection with power generation |
| CN106503882A (en) * | 2016-09-27 | 2017-03-15 | 长江勘测规划设计研究有限责任公司 | A kind of practical gate of hydropower station based on subject data base opens and closes optimization method |
| CN108108838A (en) * | 2017-12-18 | 2018-06-01 | 华电福新能源股份有限公司福建分公司 | A kind of season balancing reservoir Optimization Scheduling of high water provenance |
| CN109272245A (en) * | 2018-09-30 | 2019-01-25 | 国电大渡河流域水电开发有限公司 | The real-time auto-allocation method of step power station floodgate aperture and system |
| CN111476477A (en) * | 2020-04-01 | 2020-07-31 | 贵州黔源电力股份有限公司 | Power generation benefit target-based medium and long term optimization scheduling method for cascade hydropower station |
| CN113391607A (en) * | 2021-06-22 | 2021-09-14 | 四川华能太平驿水电有限责任公司 | Hydropower station gate control method and system based on deep learning |
-
2021
- 2021-10-12 CN CN202111184268.1A patent/CN113642256B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2963896B1 (en) * | 1998-06-29 | 1999-10-18 | 康則 奈良 | Water lock mechanism with valve control device |
| CN102296562A (en) * | 2010-06-25 | 2011-12-28 | 华东电网有限公司 | Step reservoir joint flood scheduling optimization method coupling flood protection with power generation |
| CN106503882A (en) * | 2016-09-27 | 2017-03-15 | 长江勘测规划设计研究有限责任公司 | A kind of practical gate of hydropower station based on subject data base opens and closes optimization method |
| CN108108838A (en) * | 2017-12-18 | 2018-06-01 | 华电福新能源股份有限公司福建分公司 | A kind of season balancing reservoir Optimization Scheduling of high water provenance |
| CN109272245A (en) * | 2018-09-30 | 2019-01-25 | 国电大渡河流域水电开发有限公司 | The real-time auto-allocation method of step power station floodgate aperture and system |
| CN111476477A (en) * | 2020-04-01 | 2020-07-31 | 贵州黔源电力股份有限公司 | Power generation benefit target-based medium and long term optimization scheduling method for cascade hydropower station |
| CN113391607A (en) * | 2021-06-22 | 2021-09-14 | 四川华能太平驿水电有限责任公司 | Hydropower station gate control method and system based on deep learning |
Non-Patent Citations (1)
| Title |
|---|
| 徐婷兰 等: "要素扩展型闸门控制运用曲线设计", 《红水河》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114046984A (en) * | 2022-01-12 | 2022-02-15 | 北京恒润安科技有限公司 | Gate fault troubleshooting device based on phase method laser ranging |
| CN118409571A (en) * | 2024-07-01 | 2024-07-30 | 国能大渡河金川水电建设有限公司 | Control system, method and system for ecological drainage flow of hydropower station |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113642256B (en) | 2022-01-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108108838B (en) | Season regulation reservoir optimal scheduling method with high water utilization rate | |
| CN113642256B (en) | Practical gate opening and closing optimization method based on theme database | |
| US10482549B2 (en) | Daily electricity generation plan making method of cascade hydraulic power plant group | |
| CN104268653B (en) | Cascade reservoir optimal scheduling method based on ESP | |
| CN113011662B (en) | System and method for integrated joint optimization scheduling of network and river of regional enterprise plant | |
| CN103595076B (en) | A kind of active power distribution method improving the tired uniformity of wind turbine generator | |
| CN109103929B (en) | Power distribution network economic optimization scheduling method based on improved dynamic kriging model | |
| CN112241607B (en) | Water resource planning method based on simulation and considering climate change | |
| CN102817335A (en) | Method and system for optimal scheduling on joint flood control for cascade reservoir groups | |
| CN115425680B (en) | Power prediction model construction and prediction method of multi-energy combined power generation system | |
| CN103904664B (en) | A kind of AGC unit real-time scheduling method based on effective static security territory | |
| CN103942613A (en) | Method for grid and province two-stage real-time generation schedule coordinative optimization under generalized tie line mode | |
| CN116011656A (en) | Pump gate group flood control scheduling method and system based on model predictive control | |
| CN103997044A (en) | Power load control method and system | |
| CN113255982A (en) | Medium-long term optimized scheduling method for wind-light-water complementary system | |
| CN105184474A (en) | Hydropower station plant inside economic scheduling method considering anomaly restriction operation zone | |
| CN111476477A (en) | Power generation benefit target-based medium and long term optimization scheduling method for cascade hydropower station | |
| CN111104750A (en) | Reservoir dispatching diagram drawing method of coupled ensemble prediction information | |
| CN108053083B (en) | Combined optimized power generation scheduling method for reservoir hydropower station in non-flood season | |
| WO2024032483A1 (en) | Application method for hydroelectric-photovoltaic complementary scheduling graph of clean energy base | |
| CN109325610A (en) | A kind of piecewise linearity dispatching method towards multi-water resources cascade pumping station water transfer system | |
| Belsnes et al. | Unit commitment in hydro power operation scheduling | |
| CN111915173A (en) | Screening method for optimal scheduling key factors of small cascade hydropower stations | |
| CN116154875A (en) | Photovoltaic power station active power optimization distribution method based on TCN and error function | |
| CN109566353A (en) | A kind of community's water Optimization Scheduling based on dynamic control |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |