CN108764557A - A kind of water resource optimal allocation method that the shallow formula of achievable width is destroyed - Google Patents
A kind of water resource optimal allocation method that the shallow formula of achievable width is destroyed Download PDFInfo
- Publication number
- CN108764557A CN108764557A CN201810495036.XA CN201810495036A CN108764557A CN 108764557 A CN108764557 A CN 108764557A CN 201810495036 A CN201810495036 A CN 201810495036A CN 108764557 A CN108764557 A CN 108764557A
- Authority
- CN
- China
- Prior art keywords
- water
- allocation
- function
- benefit
- stage
- 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.)
- Pending
Links
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 131
- 238000000034 method Methods 0.000 title claims abstract description 17
- 230000008901 benefit Effects 0.000 claims abstract description 36
- 238000004458 analytical method Methods 0.000 claims abstract description 16
- 238000013468 resource allocation Methods 0.000 claims abstract description 8
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 claims abstract description 4
- 238000002474 experimental method Methods 0.000 claims abstract description 4
- 230000008569 process Effects 0.000 claims abstract description 4
- 238000012800 visualization Methods 0.000 claims abstract description 4
- 238000004364 calculation method Methods 0.000 claims description 4
- 230000006735 deficit Effects 0.000 claims description 3
- 238000012886 linear function Methods 0.000 claims description 3
- 238000007726 management method Methods 0.000 claims description 3
- 238000005457 optimization Methods 0.000 description 5
- 230000006378 damage Effects 0.000 description 4
- 230000003467 diminishing effect Effects 0.000 description 4
- 239000012141 concentrate Substances 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000003281 allosteric effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000002860 competitive effect Effects 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
- -1 third Substances 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of water resource optimal allocation methods that the achievable shallow formula of width is destroyed, and draw Water Resources Allocation network using Visio2013, build the basic database of basin or regional water resources allocation models；It is improved for the object function weight of allocation models；The benefit function of the water supply of same industry different periods is also used and is linearized stage by stage；According to different time, different spaces, different industries water consumption survey data, unit consumption of water benefit experiment data, analysis determines the number of stages and its corresponding segments function of different water supply satisfaction degrees；Water resource allocation based on GAMS is matched, and is improved to object function weight；Water resource allocation is run, water resource optimal allocation result is simulated；Operation result is imported into basin and region generalization supply demand analysis of water resources and allocation models analysis system, realizes the moon process visualization of every profession and trade water supply, each section amount of water to be discharged.
Description
Technical field
The invention belongs to water resource optimal allocation technical fields, are related to a kind of water resource optimization that the shallow formula of achievable width is destroyed
Configuration method.
Background technology
Reasonable allocation of water resources refer in a specific basin or region, it is right with effective, fair and sustainable principle
Limited, various forms of water resources are distributed by the science that engineering and non-engineering measure carry out between each water user.Water provides
Source optimization configuration is the basis realized water resource rational-exploitation and utilized, and is the basic assurance of sustainable utilization of water resource.In fact,
Reasonable allocation of water resources is conceptually exactly how research makes good use of water resource from broad sense, includes to the developing of water resource, profit
With, protection and management.In China, especially North China and the Northwest, implementing reasonable allocation of water resources has the urgency of bigger.
Its main cause：First, the natural spatial and temporal distributions of water resource and productivity distribution are incompatible, second is that in interzone and each using water
Inter-sectional that there is prodigious is competitive with water, third, water resources development and utilization mode already leads to generate many ecological environments and ask
Topic.
Defined in Water Resources Allocation Model when object function weight, it is all based on same hypothesis：Same water supply
The unit water benefit of amount is identical, and the satisfaction degree of water is needed regardless of this kind.This hypothesis has ignored universal in real world
Existing diminishing marginal benefits rule.Though solving result easy tos produce theoretic optimal, can be formed in practical application many
Drawback.Basin/region large scale, long serial water resource optimal allocation are often applied to the water resources of basin/region class, no
Inside configuration between same time, different spaces, different industries, which often exists, concentrates the phenomenon that destroying, although configuration result is in theory
It is upper optimal but unreasonable in practical application.This is closely related with weight (the i.e. marginal benefit function) setting of object function.Usually
Marginal benefit function is solved using Cobb-Douglas production functions, or is based on gross profit when marginal cost is equal to marginal benefit
Maximum economics is assumed to derive.However in the practical utilization of water resource, the side between different time, different spaces, different industries
Border benefit function has differences, and accurately benefit function is difficult to obtain in practice, considers diminishing marginal benefits rule, realizes
The key difficulties of the water resource optimal allocation method of " the shallow formula of width is destroyed " are to establish the object function with operability.
Invention content
The purpose of the present invention is to provide a kind of water resource optimal allocation methods that the achievable shallow formula of width is destroyed.This method is abided by
Water supply diminishing marginal benefits rule is followed, object function is determined into weight stage by stage, complicated Nonlinear Water Recourses optimization can be matched
The problem of setting is transformed into linear programming problem, is that a kind of more fitting is practical, more easy-to-use distributes method for solving rationally.It is applicable in
In solving the problems, such as concentration destruction present in basin large scale, long serial water resource optimal allocation, the " wide of large watershed scale is realized
Shallow formula is destroyed " water resource optimal allocation.
" the shallow formula of width is destroyed " water resource optimal allocation refers under water supply capacity limited conditions, being imitated in accordance with water supply limit
Beneficial production decline law, using the time of multidimensional, space in water resource system, with water industry as research object, imitated according to water supply limit
The theory that the big person of benefit preferentially supplies water, carries out water resource optimal allocation, and centralization destruction (water shortage), which is become the shallow formula destruction of width, (to be lacked
Water), to reduce the loss for concentrating water shortage to bring.
Its specific technical solution is：
A kind of water resource optimal allocation method that the shallow formula of achievable width is destroyed, includes the following steps：
Step 1 draws Water Resources Allocation network using Visio2013, builds basin or regional water resources allocation models
Basic database；
Step 2 is improved for the object function weight of allocation models, it is assumed that and it is Continuous Nonlinear function, according to
Continuous Nonlinear function is generalized as several linear functions stage by stage by differential evolution algorithm thinking, every profession and trade water supply
Benefit function linearizes stage by stage；The benefit function of the water supply of same industry different periods also uses linear stage by stage
Change.
Step 3, according to different time, different spaces, different industries water consumption survey data, unit consumption of water benefit experiment
Data, analysis determine the number of stages and its corresponding segments function of different water supply satisfaction degrees.
Step 4, the water resource allocation based on GAMS, are improved object function weight.Former weight is formula
(1)：
Now it is changed to formula (2)：
Wherein：
Constraints：
In formula：Obj is object function；K is computing unit serial number, and u is computing unit sum；T is calculation interval in year；j
For with water industry serial number, n is with water industry sum；I is that benefit function is classified number sequence number, and m is benefit function classification sum, is depended on
In the requirement of decision-making management；For the water supply of k cell j industries；stepiFor the weight of i classifications；It is classified for j industries i
Marginal benefit function；L is computing unit serial number；For ecological water supply in the lakes l or important section river；For the lakes l
The benefit weight of pool or important section；For the water deficit of t periods j industry i classification.Max indicates maximum value；Integer
Indicate integer.
Step 5, operation water resource allocation, simulate water resource optimal allocation result.
Operation result is imported " basin and region generalization supply demand analysis of water resources and allocation models analysis system by step 6
System " platform, realizes the moon process visualization of every profession and trade water supply, each section amount of water to be discharged.
Further, in step 1, the basic database of the basin or regional water resources allocation models include hydraulic engineering,
Computing unit, canal system topological relation.
Compared with prior art, beneficial effects of the present invention are：
The present invention follows water supply diminishing marginal benefits rule, and object function is determined weight stage by stage, can be by the non-of complexity
Linear optimization allocation of water resources is transformed into linear programming problem, is one kind more fitting reality, more easy-to-use optimization
Configuration reasoning method.It is real suitable for solving the problems, such as to concentrate destruction present in basin large scale, long serial water resource optimal allocation
" the shallow formula of width is destroyed " water resource optimal allocation of existing large watershed scale.
Description of the drawings
Fig. 1 is different water supply classifications and its corresponding marginal benefit function schematic diagram；
Fig. 2 is GAMS Code Edits interface；
Fig. 3 is agriculture water shortage situation comparison before and after model refinement；
Fig. 4 is water shortage depth correlation before and after model refinement；
Fig. 5 is basin and region generalization supply demand analysis of water resources and the overall framework figure of allocation models analysis system.
Specific implementation mode
Technical scheme of the present invention is described in more detail in the following with reference to the drawings and specific embodiments.
A kind of water resource optimal allocation method that the shallow formula of achievable width is destroyed, includes the following steps：
Step 1 draws Water Resources Allocation network using Visio2013, builds basin or regional water resources allocation models
Basic database (including hydraulic engineering, computing unit, canal system topological relation etc.).
Step 2 is improved for the object function weight (i.e. marginal benefit function) of allocation models, it is assumed that it is continuous
Continuous Nonlinear function is generalized as several linear functions stage by stage by nonlinear function according to differential evolution algorithm thinking,
The benefit function of every profession and trade water supply linearizes stage by stage；The benefit function of the water supply of same industry different periods is also adopted
With linearizing stage by stage.
Step 3, according to different time, different spaces, different industries water consumption survey data, unit consumption of water benefit experiment
Data, analysis determine the number of stages and its corresponding segments function of different water supply satisfaction degrees.
Step 4, the water resource allocation based on GAMS are matched, and are improved to object function weight.Former weight is formula
(1)：
Now it is changed to formula (2)：
Wherein：
Constraints：
In formula：Obj is object function；K is computing unit serial number, and u is computing unit sum；T is calculation interval in year；j
For with water industry serial number, n is with water industry sum；I is that benefit function is classified number sequence number, and m is benefit function classification sum, is depended on
In the requirement of decision-making management；For the water supply of k cell j industries；stepiFor the weight of i classifications；It is classified for j industries i
Marginal benefit function；L is computing unit serial number；For ecological water supply in the lakes l or important section river；For the lakes l
Or the benefit weight of important section；For the water deficit of j industries i classifications.Max indicates maximum value；Integer indicates whole
Number.
Step 5, operation water resource allocation, simulate water resource optimal allocation result.
Operation result is imported " basin and region generalization supply demand analysis of water resources and allocation models analysis system by step 6
System " platform, realizes the moon process visualization of every profession and trade water supply, each section amount of water to be discharged.
The present invention is to the improved schematic diagram of object function weight.See Fig. 1.Into GAMS editing interfaces, improved using formula 2
Object function weight calculation code.See Fig. 2.Front and back water resource agricultural water shortage situation comparison is improved, illustrates improved water resource
Configuration result solves the problems, such as to concentrate water shortage.See Fig. 3.Front-and-back unit water shortage depth correlation is improved, illustrates improved water money
Source configuration result water shortage influence degree is lower.See Fig. 4.Basin and the analysis of region generalization supply demand analysis of water resources and allocation models
System overall framework figure, is shown in Fig. 5, in multi_tier distributed system, adds one or more layers between clients and servers
Application services, by the work such as service logic application service, data base querying agency, legitimacy verifies be put into middle layer into
Row processing.Under normal conditions, client (application) is not direct interacts with database, but by COM/DCOM communications in
Interbed establishes connection, then is interacted via middle layer and database.With the increase of this layer assembly, double-layer structure is to three-layered node
After allosteric transformation, the load at client and server end just accordingly alleviates, it is cross-platform, transmission it is unreliable the problems such as also understood
Certainly.This increased layer assembly is also known as " middleware ".Middleware acts mainly as middle layer in three-decker, complete data safety and
Complete transmission, by load balancing come the working efficiency of regulating system, to make up the deficiency of double-layer structure.
The foregoing is only a preferred embodiment of the present invention, protection scope of the present invention is without being limited thereto, it is any ripe
Those skilled in the art are known in the technical scope of present disclosure, the letter for the technical solution that can be become apparent to
Altered or equivalence replacement are each fallen in protection scope of the present invention.
Claims (2)
1. a kind of water resource optimal allocation method that the shallow formula of achievable width is destroyed, which is characterized in that include the following steps：
Step 1 draws Water Resources Allocation network using Visio2013, builds the base of basin or regional water resources allocation models
Plinth database；
Step 2 is improved for the object function weight of allocation models, it is assumed that it is Continuous Nonlinear function, according to differential
Continuous Nonlinear function is generalized as several linear functions stage by stage, the benefit of every profession and trade water supply by evolution algorithm thinking
Function linearizes stage by stage；The benefit function of the water supply of same industry different periods is also used and is linearized stage by stage；
Step 3, according to different time, different spaces, different industries water consumption survey data, unit consumption of water benefit experiment number
According to analysis determines the number of stages and its corresponding segments function of different water supply satisfaction degrees；
Step 4, the water resource allocation based on GAMS are matched, and are improved to object function weight；Former weight is formula (1)：
Now it is changed to formula (2)：
Wherein：
Constraints：
In formula：Obj is object function；K is computing unit serial number, and u is computing unit sum；T is calculation interval in year；J is to use
Water industry serial number, n are with water industry sum；I is that benefit function is classified number sequence number, and m is benefit function classification sum, is depended on certainly
The requirement of plan management；For the water supply of k cell j industries；stepiFor the weight of i classifications；For the side of j industries i classifications
Border benefit function；L is computing unit serial number；For ecological water supply in the lakes l or important section river；βl tFor the lakes l or again
Want the benefit weight of section；For the water deficit of t periods j industry i classification, Max indicates maximum value；Integer indicates whole
Number；
Step 5, operation water resource allocation, simulate water resource optimal allocation result；
Operation result is imported basin and region generalization supply demand analysis of water resources and allocation models analysis system by step 6, is realized
The moon process visualization of every profession and trade water supply, each section amount of water to be discharged.
2. the water resource optimal allocation method that the shallow formula of achievable width according to claim 1 is destroyed, which is characterized in that step
In 1, the basic database of the basin or regional water resources allocation models includes hydraulic engineering, computing unit, canal system topology pass
System.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810495036.XA CN108764557A (en) | 2018-05-22 | 2018-05-22 | A kind of water resource optimal allocation method that the shallow formula of achievable width is destroyed |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810495036.XA CN108764557A (en) | 2018-05-22 | 2018-05-22 | A kind of water resource optimal allocation method that the shallow formula of achievable width is destroyed |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108764557A true CN108764557A (en) | 2018-11-06 |
Family
ID=64007585
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810495036.XA Pending CN108764557A (en) | 2018-05-22 | 2018-05-22 | A kind of water resource optimal allocation method that the shallow formula of achievable width is destroyed |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108764557A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109658287A (en) * | 2018-12-27 | 2019-04-19 | 中国水利水电科学研究院 | A kind of basin water dispatching method evenly distributed based on water resource space-time |
| WO2022012093A1 (en) * | 2020-07-13 | 2022-01-20 | 浙江大学 | Complex water resource system optimal configuration method based on "partitioning-rating" theory |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070094187A1 (en) * | 2003-08-26 | 2007-04-26 | Anderson Roger N | Innervated stochastic controller for real time business decision-making support |
| CN106097163A (en) * | 2016-08-29 | 2016-11-09 | 中国水利水电科学研究院 | A kind of water resource optimal allocation method towards space-time balanced |
-
2018
- 2018-05-22 CN CN201810495036.XA patent/CN108764557A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070094187A1 (en) * | 2003-08-26 | 2007-04-26 | Anderson Roger N | Innervated stochastic controller for real time business decision-making support |
| CN106097163A (en) * | 2016-08-29 | 2016-11-09 | 中国水利水电科学研究院 | A kind of water resource optimal allocation method towards space-time balanced |
Non-Patent Citations (1)
| Title |
|---|
| 黄丽丽: "考虑不确定性的水资源规划关键问题研究", 《中国优秀博士论文全文数据库-工程科技Ⅱ辑》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109658287A (en) * | 2018-12-27 | 2019-04-19 | 中国水利水电科学研究院 | A kind of basin water dispatching method evenly distributed based on water resource space-time |
| CN109658287B (en) * | 2018-12-27 | 2023-01-17 | 中国水利水电科学研究院 | Basin water quantity scheduling method based on water resource space-time uniform distribution |
| WO2022012093A1 (en) * | 2020-07-13 | 2022-01-20 | 浙江大学 | Complex water resource system optimal configuration method based on "partitioning-rating" theory |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Xiao et al. | Managing personalized individual semantics and consensus in linguistic distribution large-scale group decision making | |
| Vahdani et al. | A new compromise solution method for fuzzy group decision-making problems with an application to the contractor selection | |
| CN103136337B (en) | For distributed knowledge data mining device and the method for digging of complex network | |
| CN103678671A (en) | Dynamic community detection method in social network | |
| Chu et al. | Production scale-based two-stage network data envelopment analysis | |
| Liu et al. | A special Partial Least Squares (PLS) path decision modeling for bid evaluation of large construction projects | |
| CN103034687B (en) | A kind of relating module recognition methodss based on 2 class heterogeneous networks | |
| CN107067170A (en) | A kind of cost accounting and quotation system based on assembling decomposition texture | |
| Dubey et al. | A bipolar approach in fuzzy multi-objective linear programming | |
| Basu et al. | Matrices in soft set theory and their applications in decision making problems | |
| CN108764557A (en) | A kind of water resource optimal allocation method that the shallow formula of achievable width is destroyed | |
| Sánchez-Juárez et al. | Identification of key productive sectors in the Mexican economy | |
| CN105574761A (en) | Taxpayer benefit association network parallel generation method based on Spark | |
| Mousavi-Nasab et al. | Resource allocation based on overall equipment effectiveness using cooperative game | |
| Zhai et al. | Performance and participants’ decisions analysis in major water resources allocation project based on network governance | |
| CN110782354A (en) | Method and apparatus for disclosing fund investment | |
| Donepudi | Leveraging cloud computing and high performance computing (HPC) advances for next generation projects and technologies | |
| Otto et al. | The Role Of Digital Finance And Technological Innovation In The Growth Of The Green Economy | |
| Clarete et al. | CGE models and development policy analysis: problems, pitfalls, and challenges | |
| Alonso et al. | Visualizing consensus in group decision making situations | |
| Liu et al. | A novel evaluation technique for human body perception of clothing fit | |
| Tziasiou et al. | Transmission pricing software for power engineering education | |
| CN107895034A (en) | A kind of data cell input and comprehensive output intent | |
| Johansson | Real options in energy investments | |
| Wainstein | Blockchains as enablers of participatory smart grids |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181106 |
|
| RJ01 | Rejection of invention patent application after publication |