Intelligent control method for pre-flood water level elimination of controlled reservoir group

By constructing the characteristic parameters of the reservoir group and a long series of water condition data sets, simulating and screening the desolation process of different frequency segments, a smart control rule database for the desolation process of the reservoir group before flood is established, solving the shortcomings of the desolation period scheduling of the reservoir group and the pre-flood control of the desolation control in the existing technology, and achieving the effect of intelligent control and efficient use of water resources.

CN119886747AActive Publication Date: 2025-04-25BUREAU OF HYDROLOGY CHANGJIANG WATER RESOURCES COMMISSION
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Patent Information

Application Number
CN202510361166.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-26
Publication Date
2025-04-25
Estimated Expiration
2045-03-26

AI Technical Summary

Technical Problem

The existing technology lacks a large-time and spatial scale discussion of the overall basin reservoir group during the scheduling of reservoir groups during the dry period, making it difficult to adapt to the national water network construction and the changes in climate and water conditions of the entire basin, and fails to establish a systematic intelligent control rule for pre-flood elimination water level.

Method used

By establishing characteristic parameters of reservoir group elimination and long series of water situation data sets, the reservoir group elimination process is simulated, the reservoir group elimination process sets are screened in different frequency segments, the upper and lower envelope lines are extracted, and the intelligent control rule base for the pre-flood removal process of reservoir group elimination is constructed.

Benefits of technology

Intelligent control of the water level of reservoir groups during the dry season and before flood season has been achieved, the safe and efficient utilization of water resources in the basin has been improved, and the overall pattern changes and the water conditions of the entire basin have been adapted to changes in the overall basin.

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Abstract

The invention provides an intelligent control method for a pre-flood elimination water level of a controlled reservoir group. Comprising the steps of establishing reservoir group hydro-fluctuation characteristic parameters and a long-series water regimen data set, simulating a long-series scheduling hydro-fluctuation process of the reservoir group, screening series hydro-fluctuation process sets of different frequency bands of high frequency, low frequency and low frequency, extracting upper and lower envelope lines of the reservoir group hydro-fluctuation process of different frequency bands, and constructing a reservoir group pre-flood hydro-fluctuation process intelligent control rule base. The method has the beneficial effects that a reservoir group pre-flood hydro-fluctuation process intelligent control rule base is constructed, and a reservoir group flood elimination and falling level intelligent control rule for coping with different water inflow conditions of flood abundance, flood abundance and flood abundance and water regimen change trends in different stages of a hydro-fluctuation period is provided for a reservoir group while the reservoir group water resource flood abundance and flood abundance regulation capability is fully exerted; the method effectively adapts to drainage basin water safety and energy safety guarantee capability improvement requirements of frequent extreme events such as winter, spring and summer continuous drought and drought and flood sudden turning under the new situation, and provides technical support for safe and efficient utilization of water resources in the new stage.
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Description

Technical Field

[0001] The present invention relates to the field of optimized scheduling of a group of reservoirs in a river basin during the dry season, and in particular to a method for intelligently controlling the water level drawdown of a group of controlled reservoirs before the flood season. Background Art

[0002] Improving the basin's ability to ensure supply in winter and spring and to meet the summer's bumper harvest is an important part of ensuring the safety of power and water supply in the basin. Affected by environmental factors, wind and solar power generation has characteristics such as volatility, intermittency and randomness. Large-scale wind and solar grid connection has brought new challenges to the peak regulation and safe and stable operation of the power system. Affected by the energy structure, climate change, underlying surface changes, water project construction and operation, etc., the rainfall, water and engineering conditions have all changed significantly. The practical requirements for joint optimization and regulation of reservoir groups and energy security are very urgent.

[0003] While studying and implementing the control of the pre-flood drawdown water level of cascade reservoirs during the dry season and exploring the rolling regulation method of cascade reservoirs during the dry season, it is also necessary to meet the regional power supply security and basin water supply security, and determine the threshold conditions of the control index of the drawdown water level of the control reservoir group for different water inflow frequency bands of abundant, normal and dry seasons. Therefore, it is urgent to consider the differences in the overall and phased water inflow magnitude during the drawdown period, and design the intelligent control rules for the pre-flood drawdown water level of the control reservoir group.

[0004] Problems with existing technologies: When considering the scheduling of reservoirs during the dry season, existing technologies mainly focus on single reservoirs or cascade reservoirs of the same investment entity, but rarely conduct discussions on a large temporal and spatial scale based on the reservoir group in the basin as a whole. In addition, it is difficult to adapt to the major changes in the national water network construction, wind and solar energy construction, and new forms of climate and water regime changes in the entire basin. When considering the drawdown mode of a reservoir group during the dry season, the existing technology mostly regulates and controls according to the needs of the power grid and the energy side, and rarely considers the response relationship between the reservoir water level change rate and different water inflow conditions such as flood, normal and drought. There is no systematic intelligent control rule for the drawdown water level of a reservoir group before the flood season based on the water situation change trend at different stages of the drawdown period. There is still a certain gap from the requirements of strengthening the unified joint scheduling of river basin water projects, strengthening cross-regional water resources adjustment between flood and drought, and safely and efficiently utilizing water resources in the new era. Summary of the invention

[0005] The purpose of the present invention is to address the deficiencies of the above-mentioned prior art and provide a method for intelligently controlling the water level of a controllable reservoir group before the flood season, so as to provide technical support for the dry season scheduling and pre-flood drawdown of a river basin reservoir group.

[0006] To achieve the above object, the present invention adopts the following technical solutions: The present invention provides a method for intelligently controlling the water level of a controlled reservoir group before the flood season, comprising the following steps: S1. Establishment of reservoir group drawdown characteristic parameters and long series water regime data set : S2. Simulate the series of scheduling and drawdown processes of reservoir groups : S3. Screening of series of decline process sets in different frequency bands of flood, medium and drought : S4. Extract the upper and lower envelopes of the drawdown process of reservoir groups in different frequency bands: S5. Construct a smart control rule base for the pre-flood drawdown process of reservoir groups.

[0007] Further, the S1 is specifically: According to the reservoir group dispatching regulations or design results, extract the normal water storage level of each reservoir , Dead water level , Extreme drawdown level , adjust storage capacity , Storage capacity corresponding to normal water level , minimum downstream flow control index , Grid transmission capacity , water level and storage capacity curve , discharge capacity curve , Maximum expected output curve , Establish a set of reservoir group drawdown characteristic parameters At the same time, the long series inflow of each reservoir , Interval traffic , discharge flow from upstream reservoirs Observational data set: long series of water regime data set : ; in, For the Reservoirs; is the number of reservoirs in the cascade reservoir group.

[0008] Furthermore, S2 is specifically: according to the scheduling objectives and scheduling procedures of the reservoir group during the drawdown period, the inflow , the lowest discharge flow control index , Grid transmission capacity , Maximum expected output ; Calculate the outflow of each reservoir step by step from upstream to downstream , water level in front of dam , contribute , water supply flow , water level drop during the period , and then form a series of scheduling and drawdown process plan library for reservoir groups ; ; in, Water level before dam Discharge capacity; Water level before dam The maximum expected output.

[0009] Further, the S3 is specifically: Combined with the long series of reservoir group scheduling and drawdown process solution library Results, analysis of the maximum decline rate of different processes and scheduling period , minimum decline rate and scheduling period , average decline rate , the first half of the decline rate The first water volume , the second half of the decline rate And the second water volume Process characteristic indicator set Based on the long series of annual experience frequencies, the reservoir group drawdown process sets with different frequency ranges of flood, normal and dry seasons were selected. : ; ; ; ; ; in, For the The set of drawdown processes of reservoir groups in different frequency bands of each reservoir; For the The set of drawdown water level processes in the flood frequency range of each reservoir; For the The set of drawdown water level processes in the frequency range of the normal water level of each reservoir; For the The set of water level drawdown processes in the low-flow frequency range of each reservoir; For the Reservoir The process of water level fluctuation in a flood year; For the Reservoir A set of characteristic indicators of the drawdown process in a wet year; Gathered for the year of abundant water, is the number of wet years; For the The set of water level drawdown processes in the frequency range of the normal water level of each reservoir; For the Reservoir The process of water level fluctuation in a normal water year; For the Reservoir A set of characteristic indicators for the drawdown process in a mean water year; For the average water year collection; For the The set of water level drawdown processes in the low-flow frequency range of each reservoir; For the Reservoir The process of water level decline in a dry year; For the Reservoir A set of characteristic indicators of the drawdown process in a dry year; Gather for dry years; is the number of dry years; For the Reservoir A set of characteristic indicators of the annual decline process; belong It was a year of abundant water; belong It was a Pingshui year; belong It was a dry year.

[0010] Further, the S4 is specifically: Based on S3, the highest drawdown water level in each period of the flood, normal and low flow frequency periods is extracted respectively. and minimum drawdown level , forming the upper and lower envelopes of the drawdown process of reservoir groups in different frequency bands ; ; U _ U w L ( t ) = MAX [ W _ Zl 1 ( t ) , … , W _ Zl w ( t ) , … , W _ Zl W ( t ) ] L _ the w ( t ) = min [ W _ Zl 1 ( t ) , … , W _ Zl w ( t ) , … , W _ Zl W ( t ) ] U _ the m ( t ) = MAX [ M _ Zl 1 ( t ) , … , M _ Zl m ( t ) , … , M _ Zl M ( t ) ] L _ the m ( t ) = min [ M _ Zl 1 ( t ) , … , M _ Zl m ( t ) , … , M _ Zl M ( t ) ] U _ the l ( t ) = MAX [ L _ Zl 1 ( t ) , … , L _ Zl l ( t ) , … , L _ Zl M ( t ) ] L _ the l ( t ) = min [ L _ Zl 1 ( t ) , … , L _ Zl l ( t ) , … , L _ Zl M ( t ) ] ; in, For the scheduling period The first time period; and Respectively Reservoir Flood Year The highest and lowest water levels in each period; For the The drawdown water level boundary line of each reservoir in the flood frequency period; For the The boundary line of the drawdown water level in the normal water frequency section of each reservoir; Respectively Reservoir Pingshui Year The highest and lowest water levels in each period; and Respectively Reservoir Dry Year The highest and lowest water levels in each period; For the Reservoir Flood Year The water level drawdown in each period; for Reservoir Pingshui Year The drawdown water level in each period; For the Reservoir Dry Year The water level drop during a period of time.

[0011] Further, the S5 includes: S501: Based on the results of S3 and S4, extract the spatiotemporal maps of the water level and water level drop rate thresholds of different frequency bands in different periods. ; ; ; ; in, For the Reservoir The set of water level and rate thresholds for each period; The reservoir flood frequency range is The upper limit of the water level drawdown in each period; The reservoir flood frequency is The lower limit of water level drawdown in each period; The frequency range of low water level in the reservoir is The upper limit of water level drawdown in each period; The frequency range of low water level in the reservoir is The lower limit of water level drawdown in each period; S502. Extract the overall drawdown control index set under different water inflow conditions: abundant, normal and dry : According to the spatiotemporal map of the extinction threshold , analyze and summarize the lowest water level valve of the reservoir group during the drawdown period in the frequency range of flood, normal and dry levels And the average decline rate range , forming an overall drawdown control index set for different water inflow conditions such as abundant, normal and dry seasons , based on the results of long-term flood, dry and peak forecasts, the overall drawdown control conditions for the reservoir group are selected: ; ; ; ; ; ; ; ; ; ; U W _ M l r = min [ UW _ the ( 1 ) , … , UW _ the ( t ) , … , UW _ the ( T ) ] ; L W _ M l r = min [ LW _ the ( 1 ) , … , LW _ the ( t ) , … , LW _ the ( T ) ] ; U W _ D r r = MAX [ A _ Dr r ( 1 ), … , A _ Dr r ( w ), … , A _ Dr r ( W ) ] ; L W _ D r r = min [ A _ Dr r ( 1 ), … , A _ Dr r ( w ), … , A _ Dr r ( W ) ] ; U M _ M l r = min [ MU _ the ( 1 ) , … , MU _ the ( t ) , … , MU _ the ( T ) ] ; L M _ M l r = min [ LM _ the ( 1 ) , … , LM _ the ( t ) , … , LM _ the ( T ) ] ; U M _ D r r = MAX [ A _ Dr r ( 1 ), … , A _ Dr r ( m ), … , A _ Dr r ( M ) ] ; L M _ D r r = min [ A _ Dr r ( 1 ), … , A _ Dr r ( m ), … , A _ Dr r ( M ) ] ; U L _ M l r = min [ the _ the ( 1 ) , … , the _ the ( t ) , … , the _ the ( T ) ] ; L L _ M l r = min [ II _ the ( 1 ) , … , II _ the ( t ) , … , II _ the ( T ) ] ; U L _ D r r = MAX [ A _ Dr r ( 1 ), … , A _ Dr r ( l ), … , A _ Dr r ( L ) ] ; L L _ D r r = min [ A _ Dr r ( 1 ), … , A _ Dr r ( l ), … , A _ Dr r ( L ) ] ; in, For the The overall drawdown control index set for each reservoir; , and Respectively The drawdown control index of each reservoir under different water inflow conditions of flood, normal and dry seasons; Respectively The lowest water level valve under different water inflow conditions of flood, normal and dry seasons; Respectively The upper and lower limits of the minimum water level threshold under flood conditions of each reservoir; The flat water frequency band The upper limit of average drawdown rate of each reservoir; The frequency band of reservoir level water The upper limit of the water level drawdown in each period; The frequency band of reservoir level water The lower limit of the water level drawdown in each period; Respectively The upper and lower limits of the minimum water level threshold under normal water conditions of each reservoir; The frequency range of flood season The upper limit of average drawdown rate of each reservoir; The frequency range of flood season The lower limit of the average drawdown rate of each reservoir; The reservoir is in the flood frequency range. The upper limit of water level in each period; The reservoir is in the flood frequency range. The lower limit of water level in each period; Respectively The upper and lower limits of the minimum water level threshold under low water conditions of each reservoir; Respectively The variation range of average drawdown rate of each reservoir under different water inflow conditions of flood, normal and dry seasons; Respectively The maximum and minimum average drawdown rates of each reservoir under flood conditions; Respectively The maximum and minimum average drawdown rates of each reservoir under low water conditions; For the Reservoir The average rate of decline in a wet year; For the Reservoir The average rate of decline in a mean water year; For the Reservoir The average rate of decline in a dry year; S503. Constructing a smart control rule base for the pre-flood drawdown process of reservoir groups : The mathematical and statistical analysis methods of trends and change points are used to identify the water inflow conditions of the first and second half of the drawdown period, and to formulate the water inflow conditions of the reservoir groups in different frequency bands during the drawdown period. , Slow at first and fast at last , front and rear average speed The decline rule Finally, a smart control strategy for the pre-flood drawdown process of a group of reservoirs based on rolling nesting and long-term flood and dry season predictions and phased water volume classification is formed, and a smart control rule library for the pre-flood drawdown process of a group of reservoirs is constructed. : ; ; ; ; ; ; ; W F _ u f D r r = MAX [ F _ Dr r ( 1 ), … , F _ Dr r ( f ), … , F _ Dr r ( F ) ] ; W F _ l f D r r = min [ F _ Dr r ( 1 ), … , F _ Dr r ( f ), … , F _ Dr r ( F ) ] ; W F _ u s D r r = MAX [ S _ Dr r ( 1 ), … , S _ Dr r ( f ), … , S _ Dr r ( F ) ] ; W F _ l s D r r = min [ S _ Dr r ( 1 ), … , S _ Dr r ( f ), … , S _ Dr r ( F ) ] ; W F _ u f R r r = MAX [ F _ Rr r ( 1 ), … , F _ Rr r ( f ), … , F _ Rr r ( F ) ] ; W F _ l f R r r = min [ F _ Rr r ( 1 ), … , F _ Rr r ( f ), … , F _ Rr r ( F ) ] ; W F _ u s R r r = MAX [ S _ Rr r ( 1 ), … , S _ Rr r ( f ), … , S _ Rr r ( F ) ] ; W F _ l s R r r = min [ S _ Rr r ( 1 ), … , S _ Rr r ( f ), … , S _ Rr r ( F ) ] ; ; W S _ u f D r r = MAX [ F _ Dr r ( 1 ), … , F _ Dr r ( s ), … , F _ Dr r ( S ) ] ; W S _ l f D r r = min [ F _ Dr r ( 1 ), … , F _ Dr r ( s ), … , F _ Dr r ( S ) ] ; W S _ u s D r r = MAX [ S _ Dr r ( 1 ), … , S _ Dr r ( s ), … , S _ Dr r ( S ) ] ; W S _ l s D r r = min [ S _ Dr r ( 1 ), … , S _ Dr r ( s ), … , S _ Dr r ( S ) ] ; W S _ u f R r r = MAX [ F _ Rr r ( 1 ), … , F _ Rr r ( s ), … , F _ Rr r ( S ) ] ; W S _ l f R r r = min [ F _ Rr r ( 1 ), … , F _ Rr r ( s ), … , F _ Rr r ( S ) ] ; W S _ u s R r r = MAX [ S _ Rr r ( 1 ), … , S _ Rr r ( s ), … , S _ Rr r ( S ) ] ; W S _ l s R r r = min [ S _ Rr r ( 1 ), … , S _ Rr r ( s ), … , S _ Rr r ( S ) ] ; ; W U _ u f D r r = MAX [ F _ Dr r ( 1 ), … , F _ Dr r ( u ), … , F _ Dr r ( U ) ] ; W U _ l f D r r = min [ F _ Dr r ( 1 ), … , F _ Dr r ( u ), … , F _ Dr r ( U ) ] ; W U _ u s D r r = MAX [ S _ Dr r ( 1 ), … , S _ Dr r ( u ), … , S _ Dr r ( U ) ] ; W U _ l s D r r = min [ S _ Dr r ( 1 ), … , S _ Dr r ( u ), … , S _ Dr r ( U ) ] ; W U _ u f R r r = MAX [ F _ Rr r ( 1 ), … , F _ Rr r ( u ), … , F _ Rr r ( U ) ] ; W U _ l f R r r = min [ F _ Rr r ( 1 ), … , F _ Rr r ( u ), … , F _ Rr r ( U ) ] ; W U _ u s R r r = MAX [ S _ Rr r ( 1 ), … , S _ Rr r ( u ), … , S _ Rr r ( U ) ] ; W U _ l s R r r = min [ S _ Rr r ( 1 ), … , S _ Rr r ( u ), … , S _ Rr r ( U ) ] ; in, For the The drawdown rules of each reservoir during the drawdown period; Respectively The drawdown rules of each reservoir during the drawdown period under different water inflow conditions of flood, normal and dry seasons; Respectively Under flood conditions, the flow rate of a reservoir is fast at the beginning and slow at the end. , Slow at first and fast at last , uniform speed The control indicator set of three modes; The frequency of flooding is fast at the beginning and slow at the end. Total number of model years; The frequency of flood season is slow at the beginning and fast at the end. Total number of model years; The uniform speed in the flood frequency section Total number of model years; For the The uniform velocity of the reservoir under the condition of flat water The control indicator set of three modes; For the The uniform speed of the front and rear water under low water conditions of the reservoir The control indicator set of three modes; Fast at the beginning and slow at the end Total number of model years; Slow at the beginning and fast at the end Total number of model years; For uniform speed Total number of model years; Respectively Under flood conditions, the flow rate of the reservoir is fast at the beginning and slow at the end. The upper and lower limit control indicators of the extinction rate in the first half of the mode; Respectively Under flood conditions, the flow rate of the reservoir is fast at the beginning and slow at the end. The upper and lower limit control indicators of the decline rate in the second half of the mode; Respectively Under flood conditions, the flow rate of the reservoir is fast at the beginning and slow at the end. The maximum and minimum inflow conditions of the water volume in the first half of the model; Respectively Under flood conditions, the flow rate of the reservoir is fast at the beginning and slow at the end. The maximum and minimum inflow conditions of the water volume in the second half of the model; For the The first half of the reservoir drawdown period is fast at the beginning and slow at the end. Period decline rate; For the The second half of the reservoir drawdown period is fast at the beginning and slow at the end. The amount of water entering the reservoir during the period; For the The first half of the reservoir drawdown period is slow at the beginning and fast at the end. Period decline rate; For the The first half of the reservoir drawdown period is slow at the beginning and fast at the end. Period decline rate; For the The first half of the reservoir drawdown period is slow at the beginning and fast at the end. The amount of water entering the reservoir during the period; For the The second half of the reservoir drawdown period is the slow first and fast later mode. The amount of water entering the reservoir during the period; For the The average speed of the reservoir before and after the drawdown period is the first half of the Period decline rate; For the The average speed of the reservoir before and after the drawdown period is the second half of the Period decline rate; For the The average speed of the reservoir before and after the drawdown period is the first half of the The amount of water entering the reservoir during the period; For the The average speed of the reservoir before and after the drawdown period is the second half of the The amount of water entering the reservoir during the period; Respectively Under flood conditions, the flow rate of a reservoir is slow at first and fast at the end. The upper and lower limit control indicators of the extinction rate in the first half of the mode; Respectively Under flood conditions, the flow rate of a reservoir is slow at first and fast at the end. The upper and lower limit control indicators of the decline rate in the second half of the mode; Respectively Under flood conditions, the flow rate of a reservoir is slow at first and fast at the end. The maximum and minimum inflow conditions of the water volume in the first half of the model; Respectively Under flood conditions, the flow rate of a reservoir is slow at first and fast at the end. The maximum and minimum inflow conditions of the water volume in the second half of the model; Respectively The average speed of the reservoir under flood conditions The upper and lower limit control indicators of the extinction rate in the first half of the mode; Respectively The reservoir has a uniform forward and backward speed under flood conditions The upper and lower limit control indicators of the decline rate in the second half of the mode; Respectively The reservoir has a uniform forward and backward speed under flood conditions The maximum and minimum inflow conditions of the water volume in the first half of the model; Respectively The reservoir has a uniform forward and backward speed under flood conditions Indicators for the maximum and minimum water inflow conditions in the second half of the model.

[0012] The beneficial effects are: building a smart control rule library for the pre-flood drawdown process of the reservoir group, while giving full play to the water resource adjustment capacity of the reservoir group during flood and drought, providing the reservoir group with a smart control rule for the drawdown of the reservoir group to cope with different water inflow conditions of flood, normal and drought and the changing trends of water conditions at different stages of the drawdown period, effectively adapting to the needs of improving the water security and energy security capabilities of the river basin where extreme events such as continuous droughts in winter, spring and summer, and sudden changes from drought to flood occur frequently under the new situation, and providing technical support for the safe and efficient use of water resources in the new stage. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 This is a schematic diagram of a cascade reservoir group in a river basin in Example 1; Figure 2 This is a schematic diagram of the drawdown dispatching process of a long series of cascade reservoirs; Figure 3 It is a schematic diagram of the upper and lower envelopes of the drawdown process of reservoir 1; Figure 4 It is a schematic diagram of the upper and lower envelopes of the drawdown process of reservoir 2; Figure 5 Schematic diagram of the upper and lower envelopes of the drawdown process of Reservoir 3. DETAILED DESCRIPTION

[0014] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0015] Embodiment 1 See also Figure 1 A cascade reservoir group in a certain river basin was selected as the research case, which includes three reservoirs and two interval inflows, namely Reservoir 1, Reservoir 2 and Reservoir 3 from upstream to downstream.

[0016] S1. Establishment of reservoir group drawdown characteristic parameters and long series water regime data set ; According to the reservoir group dispatching regulations or design results, extract the normal water storage level of each reservoir , Dead water level , Extreme drawdown level , adjust the storage capacity , Storage capacity corresponding to normal water level , minimum downstream flow control index , Grid transmission capacity , water level and storage capacity curve , discharge capacity curve , Maximum expected output curve , establish a set of reservoir group drawdown characteristic parameters At the same time, the long series inflow of each reservoir , Interval traffic , discharge flow from upstream reservoirs The observation data of the long series of water regime data sets .

[0017] ; in, For the Reservoirs; is the number of reservoirs in the cascade reservoir group.

[0018] S2. Simulate the series of scheduling and drawdown processes of reservoir groups : According to the dispatching objectives and dispatching regulations of the reservoir group during the drawdown period, the inflow , the lowest discharge flow control index , Grid transmission capacity , Maximum expected output ; Calculate the outflow of each reservoir step by step from upstream to downstream , water level in front of dam , contribute , water supply flow , water level drop during the period , and then form a series of scheduling and drawdown process plan library for reservoir groups ; ; in, Water level before dam Discharge capacity; Water level before dam The maximum expected output; Minimum downstream flow control index, is the number of reservoirs in the cascade reservoir group; The scheduling objectives of the reservoir group during the drawdown period are based on the engineering considerations. The maximum power generation and the maximum water supply are selected as the scheduling objective function for simulation. The schematic diagram of the long series drawdown scheduling process of the cascade reservoir is as follows: Figure 2 As shown; S3. Screening of series of decline process sets in different frequency bands of flood, medium and drought : Combined with the long series of reservoir group scheduling and drawdown process solution library Results, analysis of the maximum decline rate of different processes and scheduling period , minimum decline rate and scheduling period , average decline rate , the first half of the decline rate The first water volume , the second half of the decline rate And the second water volume Process characteristic indicator set Based on the long series of annual experience frequencies, the reservoir group drawdown process sets with different frequency ranges of flood, normal and dry seasons were selected. : ; ; ; ; ; in, For the The set of drawdown processes of reservoir groups in different frequency bands of each reservoir; For the The set of drawdown water level processes in the flood frequency range of each reservoir; For the The set of drawdown water level processes in the frequency range of the normal water level of each reservoir; For the The set of water level drawdown processes in the low-flow frequency range of each reservoir; For the Reservoir The process of water level fluctuation in a flood year; For the Reservoir A set of characteristic indicators of the drawdown process in a wet year; Gathered for the year of abundant water, is the number of wet years; For the The set of water level drawdown processes in the frequency range of the normal water level of each reservoir; For the Reservoir The process of water level fluctuation in a normal water year; For the Reservoir A set of characteristic indicators for the drawdown process in a mean water year; For the average water year collection; For the The set of water level drawdown processes in the low-flow frequency range of each reservoir; For the Reservoir The process of water level decline in a dry year; For the Reservoir A set of characteristic indicators of the drawdown process in a dry year; Gather for dry years; is the number of dry years; For the Reservoir A set of characteristic indicators of the annual decline process; belong It was a year of abundant water; belong It was a Pingshui year; belong It was a dry year.

[0019] The frequency band is divided into three frequency bands: rich (<37.5%), medium (37.5%~62.5%), and dry (>62.5%), which can also be further refined; The division of the first and second half of the dispatching period can be formulated according to the characteristics of changes in reservoir engineering tasks, changes in regional power supply or water supply demand, etc., and can generally be divided into half of the drawdown period. The characteristic index set of the drawdown process of cascade reservoirs in different frequency periods of flood, normal and dry periods is shown in the table: Table 1-1 Characteristic index set of drawdown process in the flood frequency range of reservoir 1

[0020] Table 1-2 Characteristic index set of drawdown process in the flood frequency range of reservoir 1

[0021] Table 1-3 Characteristic index set of drawdown process in the flood frequency range of reservoir 1

[0022] Table 1-4 Characteristic index set of drawdown process in the frequency range of reservoir 1

[0023] Table 1-5 Characteristic index set of drawdown process in the frequency range of reservoir 1

[0024] Table 1-6 Characteristic index set of drawdown process in low-water frequency range of reservoir 1

[0025] Table 1-7 Characteristic index set of drawdown process in low-water frequency range of reservoir 1

[0026] Table 2-1 Characteristic index set of drawdown process in reservoir 2 flood frequency range

[0027] Table 2-2 Characteristic index set of drawdown process in reservoir 2 flood frequency range

[0028] Table 2-3 Characteristic index set of drawdown process in reservoir 2 flat water frequency range

[0029] Table 2-4 Characteristic index set of drawdown process in reservoir 2 flat water frequency range

[0030] Table 2-5 Characteristic index set of drawdown process in low-water frequency range of reservoir 2

[0031] Table 2-6 Characteristic index set of drawdown process in low-water frequency range of reservoir 2

[0032] Table 3-1 Characteristic index set of drawdown process in reservoir 3 flood frequency range

[0033] Table 3-2 Characteristic index set of drawdown process in reservoir 3 flood frequency range

[0034] Table 3-3 Characteristic index set of drawdown process in reservoir 3 level water frequency range

[0035] Table 3-4 Characteristic index set of drawdown process in reservoir 3 level water frequency range

[0036] Table 3-5 Characteristic index set of drawdown process in reservoir 3 low-water frequency range

[0037] Table 3-6 Characteristic index set of drawdown process in reservoir 3 low-water frequency range

[0038] S4. Extract the upper and lower envelopes of the drawdown process of reservoir groups in different frequency bands: Based on S3, the highest drawdown water level in each period of the flood, normal and low flow frequency periods is extracted respectively. and minimum drawdown level , forming the upper and lower envelopes of the drawdown process of reservoir groups in different frequency bands .

[0039] ; U _ U w L ( t ) = MAX [ W _ Zl 1 ( t ) , … , W _ Zl w ( t ) , … , W _ Zl W ( t ) ] L _ the w ( t ) = min [ W _ Zl 1 ( t ) , … , W _ Zl w ( t ) , … , W _ Zl W ( t ) ] U _ the m ( t ) = MAX [ M _ Zl 1 ( t ) , … , M _ Zl m ( t ) , … , M _ Zl M ( t ) ] L _ the m ( t ) = min [ M _ Zl 1 ( t ) , … , M _ Zl m ( t ) , … , M _ Zl M ( t ) ] U _ the l ( t ) = MAX [ L _ Zl 1 ( t ) , … , L _ Zl l ( t ) , … , L _ Zl M ( t ) ] L _ the l ( t ) = min [ L _ Zl 1 ( t ) , … , L _ Zl l ( t ) , … , L _ Zl M ( t ) ] ; in, For the scheduling period The first time period; and Respectively Reservoir Flood Year The highest and lowest water levels in each period; For the The drawdown water level boundary line of each reservoir in the flood frequency period; For the The boundary line of the drawdown water level in the normal water frequency section of each reservoir; Respectively Reservoir Pingshui Year The highest and lowest water levels in each period; and Respectively Reservoir Dry Year The highest and lowest water levels in each period; For the Reservoir Flood Year The drawdown water level in each period; for Reservoir Pingshui Year The drawdown water level in each period; For the Reservoir Dry Year The water level drop during a period of time.

[0040] The schematic diagram of the upper and lower envelopes of the drawdown process of cascade reservoirs in different frequency ranges of flood, normal and dry periods is shown in the figure below. Figure 3~5 shown.

[0041] S5. Constructing a smart control rule base for the drawdown process of reservoir groups before the flood season: S501: Based on the results of S3 and S4, extract the spatiotemporal maps of the water level and water level drop rate thresholds of different frequency bands in different periods. ; ; ; ; in, For the Reservoir The set of water level and rate thresholds for each period; The reservoir flood frequency range is The upper limit of the water level drawdown in each period; The reservoir flood frequency is The lower limit of water level drawdown in each period; The frequency range of low water level in the reservoir is The upper limit of water level drawdown in each period; The frequency range of low water level in the reservoir is The lower limit of water level drawdown in each period; S502. Extract the overall drawdown control index set under different water inflow conditions: abundant, normal and dry : According to the spatiotemporal map of the extinction threshold , analyze and summarize the lowest water level valve of the reservoir group during the drawdown period in the frequency range of flood, normal and dry levels And the average decline rate range , forming an overall drawdown control index set for different water inflow conditions such as abundant, normal and dry seasons , select the overall drawdown control conditions of the reservoir group based on the results of long-term flood, normal and dry season predictions; ; ; ; ; ; ; ; ; ; ; U W _ M l r = min [ UW _ the ( 1 ) , … , UW _ the ( t ) , … , UW _ the ( T ) ] ; L W _ M l r = min [ LW _ the ( 1 ) , … , LW _ the ( t ) , … , LW _ the ( T ) ] ; U W _ D r r = MAX [ A _ Dr ( 1 ), … , A _ Dr ( w ), … , A _ Dr ( W ) ] ; L W _ D r r = min [ A _ Dr ( 1 ), … , A _ Dr ( w ), … , A _ Dr ( W ) ] ; U M _ M l r = min [ MU _ the ( 1 ) , … , MU _ the ( t ) , … , MU _ the ( T ) ] ; L M _ M l r = min [ LM _ the ( 1 ) , … , LM _ the ( t ) , … , LM _ the ( T ) ] ; U M _ D r r = MAX [ A _ Dr ( 1 ), … , A _ Dr ( m ), … , A _ Dr ( M ) ] ; L M _ D r r = min [ A _ Dr ( 1 ), … , A _ Dr ( m ), … , A _ Dr ( M ) ] ; U L _ M l r = min [ the _ the ( 1 ) , … , the _ the ( t ) , … , the _ the ( T ) ] ; L L _ M l r = min [ II _ the ( 1 ) , … , II _ the ( t ) , … , II _ the ( T ) ] ; U L _ D r r = MAX [ A _ Dr ( 1 ), … , A _ Dr ( l ), … , A _ Dr ( L ) ] ; L L _ D r r = min [ A _ Dr ( 1 ), … , A _ Dr ( l ), … , A _ Dr ( L ) ] ; in, For the The overall drawdown control index set for each reservoir; , and Respectively The drawdown control index of each reservoir under different water inflow conditions of flood, normal and dry seasons; Respectively The lowest water level valve under different water inflow conditions of flood, normal and dry seasons; Respectively The upper and lower limits of the minimum water level threshold under flood conditions of each reservoir; The flat water frequency band The upper limit of average drawdown rate of each reservoir; The frequency band of reservoir level water The upper limit of the water level drawdown in each period; The frequency band of reservoir level water The lower limit of the water level drawdown in each period; Respectively The upper and lower limits of the minimum water level threshold under normal water conditions of each reservoir; The frequency range of flood season The upper limit of average drawdown rate of each reservoir; The frequency range of flood season The lower limit of the average drawdown rate of each reservoir; The reservoir is in the flood frequency range. The upper limit of water level in each period; The reservoir is in the flood frequency range. The lower limit of water level in each period; Respectively The upper and lower limits of the minimum water level threshold under low water conditions of each reservoir; Respectively The variation range of average drawdown rate of each reservoir under different water inflow conditions of flood, normal and dry seasons; Respectively The maximum and minimum average drawdown rates of each reservoir under flood conditions; Respectively The maximum and minimum average drawdown rates of each reservoir under low water conditions; For the Reservoir The average rate of decline in a wet year; For the Reservoir The average rate of decline in a mean water year; For the Reservoir The average rate of decline in a dry year.

[0042] The overall drawdown control index set for cascade reservoirs in wet, normal and dry years is shown in Table 4.

[0043] Table 4 The overall drawdown control index set of cascade reservoirs in different frequency ranges of flood, normal and dry seasons

[0044] S503. Constructing a smart control rule base for the pre-flood drawdown process of reservoir groups : The mathematical and statistical analysis methods of trends and change points are used to identify the water inflow conditions of the first and second half of the drawdown period, and to formulate the water inflow conditions of the reservoir groups in different frequency bands during the drawdown period. , Slow at first and fast at last , front and rear average speed The decline rule Finally, a smart control strategy for the pre-flood drawdown process of a group of reservoirs based on rolling nesting and long-term flood and dry season predictions and phased water volume classification is formed, and a smart control rule library for the pre-flood drawdown process of a group of reservoirs is constructed. : ; ; ; ; ; ; ; W F _ u f D r = MAX [ F _ Dr ( 1 ), … , F _ Dr ( f ), … , F _ Dr ( F ) ] ; W F _ l f D r = min [ F _ Dr ( 1 ), … , F _ Dr ( f ), … , F _ Dr ( F ) ] ; W F _ u s D r = MAX [ S _ Dr ( 1 ), … , S _ Dr ( f ), … , S _ Dr ( F ) ] ; W F _ l s D r = min [ S _ Dr ( 1 ), … , S _ Dr ( f ), … , S _ Dr ( F ) ] ; W F _ u f R r = MAX [ F _ Rr ( 1 ), … , F _ Rr ( f ), … , F _ Rr ( F ) ] ; W F _ l f R r = min [ F _ Rr ( 1 ), … , F _ Rr ( f ), … , F _ Rr ( F ) ] ; W F _ u s R r = MAX [ S _ Rr ( 1 ), … , S _ Rr ( f ), … , S _ Rr ( F ) ] ; W F _ l s R r = min [ S _ Rr ( 1 ), … , S _ Rr ( f ), … , S _ Rr ( F ) ] ; ; W S _ u f D r = MAX [ F _ Dr ( 1 ), … , F _ Dr ( s ), … , F _ Dr ( S ) ] ; W S _ l f D r = min [ F _ Dr ( 1 ), … , F _ Dr ( s ), … , F _ Dr ( S ) ] ; W S _ u s D r = MAX [ S _ Dr ( 1 ), … , S _ Dr ( s ), … , S _ Dr ( S ) ] ; W S _ l s D r = min [ S _ Dr ( 1 ), … , S _ Dr ( s ), … , S _ Dr ( S ) ] ; W S _ u f R r = MAX [ F _ Rr ( 1 ), … , F _ Rr ( s ), … , F _ Rr ( S ) ] ; W S _ l f R r = min [ F _ Rr ( 1 ), … , F _ Rr ( s ), … , F _ Rr ( S ) ] ; W S _ u s R r = MAX [ S _ Rr ( 1 ), … , S _ Rr ( s ), … , S _ Rr ( S ) ] ; W S _ l s R r = min [ S _ Rr ( 1 ), … , S _ Rr ( s ), … , S _ Rr ( S ) ] ; ; W U _ u f D r = MAX [ F _ Dr ( 1 ), … , F _ Dr ( u ), … , F _ Dr ( U ) ] ; W U _ l f D r = min [ F _ Dr ( 1 ), … , F _ Dr ( u ), … , F _ Dr ( U ) ] ; W U _ u s D r = MAX [ S _ Dr ( 1 ), … , S _ Dr ( u ), … , S _ Dr ( U ) ] ; W U _ l s D r = min [ S _ Dr ( 1 ), … , S _ Dr ( u ), … , S _ Dr ( U ) ] ; W U _ u f R r = MAX [ F _ Rr ( 1 ), … , F _ Rr ( u ), … , F _ Rr ( U ) ] ; W U _ l f R r = min [ F _ Rr ( 1 ), … , F _ Rr ( u ), … , F _ Rr ( U ) ] ; W U _ u s R r = MAX [ S _ Rr ( 1 ), … , S _ Rr ( u ), … , S _ Rr ( U ) ] ; W U _ l s R r = min [ S _ Rr ( 1 ), … , S _ Rr ( u ), … , S _ Rr ( U ) ] ; in, For the The drawdown rules of each reservoir during the drawdown period; Respectively The drawdown rules of each reservoir during the drawdown period under different water inflow conditions of flood, normal and dry seasons; Respectively Under flood conditions, the flow rate of a reservoir is fast at the beginning and slow at the end. , Slow at first and fast at last , uniform speed The control indicator set of three modes; The frequency of flooding is fast at the beginning and slow at the end. Total number of model years; The frequency of flood season is slow at the beginning and fast at the end. Total number of model years; The uniform speed in the flood frequency section Total number of model years; For the The uniform velocity of the reservoir under the condition of flat water The control indicator set of three modes; For the The uniform speed of the front and rear water under low water conditions of the reservoir The control indicator set of three modes; Fast at the beginning and slow at the end Total number of model years; Slow at the beginning and fast at the end Total number of model years; For uniform speed Total number of model years; Respectively Under flood conditions, the flow rate of the reservoir is fast at the beginning and slow at the end. The upper and lower limit control indicators of the extinction rate in the first half of the mode; Respectively Under flood conditions, the flow rate of the reservoir is fast at the beginning and slow at the end. The upper and lower limit control indicators of the decline rate in the second half of the mode; Respectively Under flood conditions, the flow rate of the reservoir is fast at the beginning and slow at the end. The maximum and minimum inflow conditions of the first half of the model; Respectively Under flood conditions, the flow rate of the reservoir is fast at the beginning and slow at the end. The maximum and minimum inflow conditions of the water volume in the second half of the model; For the The first half of the reservoir drawdown period is fast at the beginning and slow at the end. Period decline rate; For the The second half of the reservoir drawdown period is fast at the beginning and slow at the end. The amount of water entering the reservoir during the period; For the The first half of the reservoir drawdown period is slow at the beginning and fast at the end. Period decline rate; For the The first half of the reservoir drawdown period is slow at the beginning and fast at the end. Period decline rate; For the The first half of the reservoir drawdown period is slow at the beginning and fast at the end. The amount of water entering the reservoir during the period; For the The second half of the reservoir drawdown period is the slow first and fast later mode. The amount of water entering the reservoir during the period; For the The average speed of the reservoir before and after the drawdown period is the first half of the Period decline rate; For the The average speed of the reservoir before and after the drawdown period is the second half of the Period decline rate; For the The average speed of the reservoir before and after the drawdown period is the first half of the The amount of water entering the reservoir during the period; For the The average speed of the reservoir before and after the drawdown period is the second half of the The amount of water entering the reservoir during the period; Respectively Under flood conditions, the flow rate of a reservoir is slow at first and fast at the end. The upper and lower limit control indicators of the extinction rate in the first half of the mode; Respectively Under flood conditions, the flow rate of a reservoir is slow at first and fast at the end. The upper and lower limit control indicators of the decline rate in the second half of the mode; Respectively Under flood conditions, the flow rate of a reservoir is slow at first and fast at the end. The maximum and minimum inflow conditions of the first half of the model; Respectively Under flood conditions, the flow rate of a reservoir is slow at first and fast at the end. The maximum and minimum inflow conditions of the water volume in the second half of the model; Respectively The average speed of the reservoir under flood conditions The upper and lower limit control indicators of the extinction rate in the first half of the mode; Respectively The reservoir has a uniform forward and backward speed under flood conditions The upper and lower limit control indicators of the decline rate in the second half of the mode; Respectively The reservoir has a uniform forward and backward speed under flood conditions The maximum and minimum inflow conditions of the first half of the model; Respectively The reservoir has a uniform forward and backward speed under flood conditions Indicators for the maximum and minimum water inflow conditions in the second half of the model.

[0045] The calculation process of the drawdown rule during the drawdown period under normal and low water conditions is consistent with the calculation process of the drawdown rule during the drawdown period under flood conditions, and will not be repeated here.

[0046] The above-mentioned embodiments only express the implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention should be based on the attached claims.

Claims

1. A method for intelligently controlling the water level of a controlled reservoir group before the flood season, characterized in that: The following steps are involved: S1. Establishment of reservoir group drawdown characteristic parameters and long series water regime data set : S2. Simulate the series of scheduling and drawdown processes of reservoir groups : S3. Screening of series of decline process sets in different frequency bands of flood, medium and drought : S4. Extract the upper and lower envelopes of the drawdown process of reservoir groups in different frequency bands: S5. Construct a smart control rule base for the pre-flood drawdown process of reservoir groups.

2. According to claim 1, a method for intelligently controlling the water level of a controlled reservoir group before the flood season, characterized in that: The S1 is specifically: According to the reservoir group dispatching regulations or design results, extract the normal water storage level of each reservoir , Dead water level , Extreme drawdown level , adjust storage capacity , Storage capacity corresponding to normal water level , minimum downstream flow control index , Grid transmission capacity , water level and storage capacity curve , discharge capacity curve , Maximum expected output curve , Establish a set of reservoir group drawdown characteristic parameters At the same time, the long series inflow of each reservoir , Interval traffic , discharge flow from upstream reservoirs Observational data set: long series of water regime data set : ; in, For the Reservoirs; is the number of reservoirs in the cascade reservoir group.

3. The method for intelligently controlling the water level of a controlled reservoir group before the flood season according to claim 2 is characterized in that: The S2 is specifically: according to the scheduling objectives and scheduling procedures of the reservoir group during the drawdown period, the inflow , the lowest discharge flow control index , Grid transmission capacity , Maximum expected output ; Calculate the outflow of each reservoir step by step from upstream to downstream , water level in front of dam , contribute , water supply flow , water level drop during the period , and then form a series of scheduling and drawdown process plan library for reservoir groups ; ; in, Water level before dam Discharge capacity; Water level before dam The maximum expected output.

4. The method for intelligently controlling the water level of a controlled reservoir group before the flood season according to claim 3 is characterized in that: The S3 is specifically: Combined with the long series of reservoir group scheduling and drawdown process solution library Results, analysis of the maximum decline rate of different processes and scheduling period , minimum decline rate and scheduling period , average decline rate , the first half of the decline rate The first water volume , the second half of the decline rate And the second water volume Process characteristic indicator set Based on the long series of annual experience frequencies, the reservoir group drawdown process sets with different frequency ranges of flood, normal and dry seasons were selected. : ; ; ; ; ; in, For the The set of drawdown processes of reservoir groups in different frequency bands of each reservoir; For the The set of drawdown water level processes in the flood frequency range of each reservoir; For the The set of drawdown water level processes in the frequency range of the normal water level of each reservoir; For the The set of water level drawdown processes in the low-flow frequency range of each reservoir; For the Reservoir The process of water level fluctuation in a flood year; For the Reservoir A set of characteristic indicators of the drawdown process in a wet year; Gathered for the year of abundant water, is the number of wet years; For the The set of water level drawdown processes in the frequency range of the normal water level of each reservoir; For the Reservoir The process of water level fluctuation in a normal water year; For the Reservoir A set of characteristic indicators of the drawdown process in a mean water year; For the average water year collection; For the The set of water level drawdown processes in the low-flow frequency range of each reservoir; For the Reservoir The process of water level decline in a dry year; For the Reservoir A set of characteristic indicators of the drawdown process in a dry year; Gather for dry years; is the number of dry years; For the Reservoir A set of characteristic indicators of the annual decline process; belong It was a year of abundant water; belong It was a Pingshui year; belong It was a dry year.

5. The method for intelligently controlling the water level of a controlled reservoir group before the flood season according to claim 4 is characterized in that: The S4 is specifically: Based on S3, the highest drawdown water level in each period of the flood, normal and low flow frequency periods is extracted respectively. and minimum drawdown level , forming the upper and lower envelopes of the drawdown process of reservoir groups in different frequency bands ; ; ; in, For the scheduling period The first time period; and Respectively Reservoir Flood Year The highest and lowest water levels in each period; For the The drawdown water level boundary line of each reservoir in the flood frequency period; For the The boundary line of the drawdown water level in the normal water frequency section of each reservoir; Respectively Reservoir Pingshui Year The highest and lowest water levels in each period; and Respectively Reservoir Dry Year The highest and lowest water levels in each period; For the Reservoir Flood Year The drawdown water level in each period; for Reservoir Pingshui Year The drawdown water level in each period; For the Reservoir Dry Year The water level drop during a period of time.

6. A method for intelligently controlling the water level of a controlled reservoir group before the flood season according to claim 5, characterized in that: The S5 includes: S501: Based on the results of S3 and S4, extract the spatiotemporal maps of the water level and water level drop rate thresholds of different frequency bands in different periods. ; ; ; ; in, For the Reservoir The set of water level and rate thresholds for each period; The reservoir flood frequency range is The upper limit of the water level drawdown in each period; The reservoir flood frequency is The lower limit of water level drawdown in each period; The frequency range of low water level in the reservoir is The upper limit of water level drawdown in each period; The frequency range of low water level in the reservoir is The lower limit of water level drawdown in each period; S502. Extract the overall drawdown control index set under different water inflow conditions: abundant, normal and dry : According to the spatiotemporal map of the extinction threshold , analyze and summarize the lowest water level valve of the reservoir group during the drawdown period in the frequency range of flood, normal and dry levels And the average decline rate range , forming an overall drawdown control index set for different water inflow conditions such as abundant, normal and dry seasons , based on the results of long-term flood, dry and peak forecasts, the overall drawdown control conditions for the reservoir group are selected: ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; in, For the The overall drawdown control index set for each reservoir; , and Respectively The drawdown control index of each reservoir under different water inflow conditions of flood, normal and dry seasons; Respectively The lowest water level valve under different water inflow conditions of flood, normal and dry seasons; Respectively The upper and lower limits of the minimum water level threshold under flood conditions of each reservoir; The flat water frequency band The upper limit of average drawdown rate of each reservoir; The frequency band of reservoir level water The upper limit of the water level drawdown in each period; The frequency band of reservoir level water The lower limit of the water level drawdown in each period; Respectively The upper and lower limits of the minimum water level threshold under normal water conditions of each reservoir; The frequency range of flood season The upper limit of average drawdown rate of each reservoir; The frequency range of flood season The lower limit of the average drawdown rate of each reservoir; The reservoir is in the flood frequency range The upper limit of water level in each period; The reservoir is in the flood frequency range. The lower limit of water level in each period; Respectively The upper and lower limits of the minimum water level threshold under low water conditions of each reservoir; Respectively The variation range of average drawdown rate of each reservoir under different water inflow conditions of flood, normal and dry seasons; Respectively The maximum and minimum average drawdown rates of each reservoir under flood conditions; Respectively The maximum and minimum average drawdown rates of each reservoir under low water conditions; For the Reservoir The average rate of decline in a wet year; For the Reservoir The average rate of decline in a mean water year; For the Reservoir The average rate of decline in a dry year; S503. Constructing a smart control rule base for the pre-flood drawdown process of reservoir groups : The mathematical and statistical analysis methods of trends and change points are used to identify the water inflow conditions of the first and second half of the drawdown period, and to formulate the water inflow conditions of the reservoir groups in different frequency bands during the drawdown period. , Slow at first and fast at last , front and rear average speed The decline rule Finally, a smart control strategy for the pre-flood drawdown process of a group of reservoirs based on rolling nesting and long-term flood and dry season predictions and phased water volume classification is formed, and a smart control rule library for the pre-flood drawdown process of a group of reservoirs is constructed. : ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; in, For the The drawdown rules of each reservoir during the drawdown period; Respectively The drawdown rules of each reservoir during the drawdown period under different water inflow conditions of flood, normal and dry seasons; Respectively Under flood conditions, the flow rate of a reservoir is fast at the beginning and slow at the end. , Slow at first and fast at last , uniform speed The control indicator set of three modes; The frequency of flooding is fast at the beginning and slow at the end. Total number of model years; The frequency of flood season is slow at the beginning and fast at the end. Total number of model years; The uniform speed in the flood frequency section Total number of model years; For the The uniform velocity of the reservoir under the condition of flat water The control indicator set of three modes; For the The uniform speed of the front and rear water under low water conditions of the reservoir The control indicator set of three modes; Fast at the beginning and slow at the end Total number of model years; Slow at the beginning and fast at the end Total number of model years; For uniform speed Total number of model years; Respectively Under flood conditions, the flow rate of the reservoir is fast at the beginning and slow at the end. The upper and lower limit control indicators of the extinction rate in the first half of the mode; Respectively Under flood conditions, the flow rate of the reservoir is fast at the beginning and slow at the end. The upper and lower limit control indicators of the decline rate in the second half of the mode; Respectively Under flood conditions, the flow rate of the reservoir is fast at the beginning and slow at the end. The maximum and minimum inflow conditions of the water volume in the first half of the model; Respectively Under flood conditions, the flow rate of the reservoir is fast at the beginning and slow at the end. The maximum and minimum inflow conditions of the water volume in the second half of the model; For the The first half of the reservoir drawdown period is fast at the beginning and slow at the end. Period decline rate; For the The second half of the reservoir drawdown period is fast at the beginning and slow at the end. The amount of water entering the reservoir during the period; For the The first half of the reservoir drawdown period is slow at the beginning and fast at the end. Period decline rate; For the The first half of the reservoir drawdown period is slow at the beginning and fast at the end. Period decline rate; For the The first half of the reservoir drawdown period is slow at the beginning and fast at the end. The amount of water entering the reservoir during the period; For the The second half of the reservoir drawdown period is the slow first and fast later method. The amount of water entering the reservoir during the period; For the The average speed of the reservoir before and after the drawdown period is the first half of the Period decline rate; For the The average speed of the reservoir before and after the drawdown period is the second half of the Period decline rate; For the The average speed of the reservoir before and after the drawdown period is the first half of the The amount of water entering the reservoir during the period; For the The average speed of the reservoir before and after the drawdown period is the second half of the The amount of water entering the reservoir during the period; Respectively Under flood conditions, the flow rate of a reservoir is slow at first and fast at the end. The upper and lower limit control indicators of the extinction rate in the first half of the mode; Respectively Under flood conditions, the flow rate of a reservoir is slow at first and fast at the end. The upper and lower limit control indicators of the decline rate in the second half of the mode; Respectively Under flood conditions, the flow rate of a reservoir is slow at first and fast at the end. The maximum and minimum inflow conditions of the water volume in the first half of the model; Respectively Under flood conditions, the flow rate of a reservoir is slow at first and fast at the end. The maximum and minimum inflow conditions of the water volume in the second half of the model; Respectively The average speed of the reservoir under flood conditions The upper and lower limit control indicators of the extinction rate in the first half of the mode; Respectively The reservoir has a uniform forward and backward speed under flood conditions The upper and lower limit control indicators of the decline rate in the second half of the mode; Respectively The reservoir has a uniform forward and backward speed under flood conditions The maximum and minimum inflow conditions of the water volume in the first half of the model; Respectively The reservoir has a uniform forward and backward speed under flood conditions Indicators for the maximum and minimum water inflow conditions in the second half of the model.

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