CN109977555A - A kind of design method suitable for the optimization operation of regional gas distributing system - Google Patents
A kind of design method suitable for the optimization operation of regional gas distributing system Download PDFInfo
- Publication number
- CN109977555A CN109977555A CN201910243112.2A CN201910243112A CN109977555A CN 109977555 A CN109977555 A CN 109977555A CN 201910243112 A CN201910243112 A CN 201910243112A CN 109977555 A CN109977555 A CN 109977555A
- Authority
- CN
- China
- Prior art keywords
- pipe network
- energy consumption
- pipeline
- optimization operation
- displacement
- 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
- 238000005457 optimization Methods 0.000 title claims abstract description 43
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000005265 energy consumption Methods 0.000 claims abstract description 72
- 238000006073 displacement reaction Methods 0.000 claims abstract description 32
- 230000007613 environmental effect Effects 0.000 claims description 4
- 238000004458 analytical method Methods 0.000 abstract description 3
- 230000005540 biological transmission Effects 0.000 abstract description 3
- 230000008901 benefit Effects 0.000 abstract description 2
- 239000007789 gas Substances 0.000 description 26
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 8
- 239000003345 natural gas Substances 0.000 description 5
- 230000005611 electricity Effects 0.000 description 4
- 238000010276 construction Methods 0.000 description 3
- 238000002485 combustion reaction Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/17—Mechanical parametric or variational design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/18—Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/14—Pipes
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Geometry (AREA)
- General Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
- General Engineering & Computer Science (AREA)
- Evolutionary Computation (AREA)
- Computational Mathematics (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Computer Networks & Wireless Communication (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Pipeline Systems (AREA)
Abstract
The invention discloses a kind of design methods suitable for the optimization operation of regional gas distributing system, this method comprises: according to pipeline actual motion report each in pipe network, it obtains optimal transportation scheme of each pipeline under different pressures step, different throughput rate steps, composition pipe network in pipe network and optimizes operation data library；Using the energy consumption data in pipe network optimization operation data library, using displacement as horizontal axis, energy consumption is the longitudinal axis, draws the energy consumption curve within the scope of the displacement and obtains pipeline energy consumption model；The optimization operation result of pipe network is calculated using pipeline energy consumption model each in pipe network.The invention has the benefit that optimizing each pipeline energy consumption model in operation data library and pipe network by establishing pipe network, and according to different pipe network tolerance allocation plans, it calculates analysis and obtains pipe network optimization operation result, foundation as adjustment pipe network operation, pipe network operation energy consumption can be significantly reduced, operating cost is reduced, and this method may be used on meeting different gas transmission tasks in different pipe network optimization operating energy loss.
Description
Technical field
The present invention relates to natural gas line design fields, are suitable for regional natural gas in particular to one kind
The design method of pipe network optimization operation.
Background technique
With the high speed development of China's natural gas pipe-line construction in recent years, China has formed northwest, northeast, ALFISOL IN CENTRAL etc.
Multiple large area gas distributing systems, each pipeline be each other or combined operating or contact operation in pipe network.It is respectively managed in pipe network
The Proper Match of road throughput rate directly affects the whole energy consumption of pipe network, with the increase year by year of pipe network displacement, the energy consumption of pipe network
Also increasing, conduit running unit guarantee pipe network complete conveying task while, it is energy-saving be need pay close attention to it is another
A emphasis.
Each pipeline is due to construction period difference, caliber, design pressure, design throughput, the compressor of each pipeline in pipe network
Group driving method etc. is also not quite similar, and the energy consumption generated in each pipe conveying procedure is also not quite similar.Facing different delivery pressures
When power, the task of conveying capacity, with greater need for that there can be a set of effective optimization operating scheme, conveying task not only can satisfy, but also
Operation energy consumption can be saved.
Currently, gas distributing system steady-state operation optimisation technique achieves certain progress and development both at home and abroad, have developed
Steady-state operation for specific pipeline optimizes program, but all has on the branch and loop due to needing the gas distributing system studied
Compressor, pressure, the throughput rate distribution of the tie point of route have diversity in pipe network, cause calculation amount larger, simplify processing
The usual effect of optimization of model is poor, and since On-the-spot factor is complicated and changeable, practical application compares less.
Summary of the invention
To solve the above problems, the purpose of the present invention is to provide a kind of general, efficient, effective natural gases
Pipe network optimizing operation method reduces pipe network operation energy consumption.
The present invention provides it is a kind of suitable for regional gas distributing system optimization operation design method, this method include with
Lower step:
Step 101: establish pipe network optimization operation data library:
According to pipeline actual motion report each in pipe network, and in conjunction with conduit running unit, determine that each pipeline can in pipe network
Operating pressure existing for energy constructs the throughput rate step under each pressure step, and using conduit running energy consumption cost as optimum target,
Obtain optimal transportation scheme of each pipeline under different pressures step, different throughput rate steps in pipe network, composition pipe network optimization operation
Database；
Step 102: establish each pipeline energy consumption model in pipe network:
Optimize the energy consumption data in operation data library, using displacement as horizontal axis, energy consumption (power consumption according to the pipe network of step 101
Amount, air consumption) it is the longitudinal axis, the energy consumption curve within the scope of the displacement is drawn, and obtain using least square method curve-fitting method
Pipeline throughput rate and energy consumption curve under to certain pressure, as pipeline energy consumption model；
Step 103: the optimization operation result of pipe network is calculated, is specifically included:
Step 1: determine each gas source amount of pipe network,
Step 2: determine the operating pressure and environmental parameter of each pipeline in pipe network,
Step 3: determine the energy consumption unit price of each pipeline in pipe network,
Step 4: determining pipe network tolerance allocation plan, and calculated according to energy consumption unit price and the pipeline energy consumption model of step 102
Energy consumption cost under single conduit difference displacement, to obtain the energy consumption total cost of pipe network；
Step 5: the optimization operation result for selecting pipe network energy charge to use the allocation plan of minimum value as pipe network, and by result
Display.
It is further improved as of the invention, in step 103, by using the cyclical function in VB (Visual Basic)
Obtain different pipe network tolerance allocation plans.
It is further improved as of the invention, in step 103, passes through graphic interface and show that the optimization of pipe network runs knot
Fruit.
The invention has the benefit that optimize each pipeline energy consumption model in operation data library and pipe network by establishing pipe network,
And according to different pipe network tolerance allocation plans, the optimization operation result of pipe network is calculated and analyze to obtain, can be quickly obtained
Effective gas distributing system optimizing operation method reduces pipe network operation energy consumption, greatly reduces operating cost, and this method
It may be used on meeting different gas transmission tasks in different pipe network optimization operating energy loss.
Detailed description of the invention
Fig. 1 is a kind of design method suitable for the optimization operation of regional gas distributing system described in the embodiment of the present invention
Flow chart；
Fig. 2 is the idiographic flow schematic diagram of step 103 in Fig. 1；
Fig. 3 is a kind of design method suitable for the optimization operation of regional gas distributing system described in the embodiment of the present invention
Pipeline throughput rate and energy consumption curve schematic diagram.
Specific embodiment
The present invention is described in further detail below by specific embodiment and in conjunction with attached drawing.
As shown in Figure 1-3, a kind of setting suitable for the optimization operation of regional gas distributing system described in the embodiment of the present invention
Meter method, method includes the following steps:
Step 101: establish pipe network optimization operation data library: according to pipeline actual motion report each in pipe network, and and pipeline
Run unit combines, and determines each pipeline operating pressure that may be present in pipe network, constructs the throughput rate step under each pressure step, and
Using conduit running energy consumption cost as optimum target, each pipeline is obtained in pipe network under different pressures step, different throughput rate steps
Optimal transportation scheme, composition pipe network optimize operation data library；
Step 102: establishing each pipeline energy consumption model in pipe network: being optimized in operation data library according to the pipe network of step 101
Energy consumption data, using displacement as horizontal axis, energy consumption (power consumption, air consumption) is the longitudinal axis, and the energy consumption drawn within the scope of the displacement is bent
Line, and pipeline throughput rate and energy consumption curve under certain pressure, as pipeline energy consumption are obtained using least square method curve-fitting method
Model；
Step 103: the optimization operation result of pipe network is calculated, is specifically included:
Step 1: determining each gas source amount of pipe network；
Step 2: determining the operating pressure and environmental parameter of each pipeline in pipe network；
Step 3: determine the energy consumption unit price of each pipeline in pipe network,
Step 4: determining pipe network tolerance allocation plan, and calculated according to energy consumption unit price and the pipeline energy consumption model of step 102
Energy consumption cost under single conduit difference displacement, to obtain the energy consumption total cost of pipe network；
Step 5: the optimization operation result for selecting pipe network energy charge to use the allocation plan of minimum value as pipe network, and by result
Display.
Further, different pipe network tolerance allocation plans is obtained by using the cyclical function in VB.
Further, the optimization operation result of pipe network is shown by graphic interface.
When specifically used:
It establishes pipe network optimization operation data library: being transported in conjunction with the nearly 3 years actual motion reports of pipeline each in pipe network, and with pipeline
Row unit combines, and determines each pipeline operating pressure that may be present in pipe network, and construct the throughput rate step under each pressure step.With
Guarantee that pipeline overall operation is averaged high pressure as theoretical basis, displacement step operating condition is calculated, is counted under single operating condition, is managed
The power consumption (electric drive compressor group) and air consumption (combustion drive compressor group) of road system, calculate in conjunction with existing electricity price and gas price
The energy consumption cost of the operating condition out.The a variety of machine modes that open are carried out for key node throughput rate operating condition to compare, and are determined and optimal are opened machine scheme.
Using conduit running energy consumption cost as optimum target, the displacement step within the scope of full displacement is calculated.It based on this, can be with
It obtains under single pressure step, the optimized operation scheme under the full displacement of single conduit, further, under different pressures step
Throughput rate step optimizes operating analysis, finds out the optimized operation scheme that each pipeline respectively conveys operating condition.By pipelines all in pipe network
Optimal transportation scheme composition pipe network under different pressures step, different throughput rate steps optimizes operation data library.It is with certain pipeline
Example, the pressure step of construction have N1A, the throughput rate step under each pressure step has N2It is a, then the corresponding optimization operation of the pipeline
Operating condition number is N1×N2It is a.
Pipe network optimization operation data library may be either that pipe network optimization operation provides basic data, find out each conveying operating condition and energy consumption
Relationship, can also quickly provide the single conduit optimal operation mode under corresponding pressure, throughput rate for conduit running personnel.
Establish each pipeline energy consumption model in pipe network: since pipeline energy consumption and compressor station energy supply balance each other, natural gas tube
Apparent second-degree parabola rule is presented between single conduit operation energy consumption in net and pipeline displacement.In certain displacement
In range, machine mode is substantially stationary for pipeline optimal opening, with the increase of displacement, the air consumption and power consumption of pipe-line system with
Parabolically property increases displacement, and therefore, using displacement as horizontal axis, power consumption and air consumption are the longitudinal axis, draws the displacement model
Enclose interior energy consumption curve, use least square method for the curve-fitting data method of principle, to optimize database energy consumption data into
After row processing, the optimization method group within the scope of the displacement is obtained.Within the scope of full displacement, energy consumption curve is intended paragraph by paragraph
Close, building displacement and energy consumption (air consumption and power consumption) between mathematical relationship (as shown in figure 3, horizontal axis variable be displacement,
Longitudinal axis variable is air consumption), it lays a good foundation to advanced optimize analysis.
Calculate the optimization operation result of pipe network: usual gas distributing system has multiple gas sources, and each gas source can be by a plurality of pipeline
It is delivered to destination.Each single conduit operating pressure grade has differences in gas distributing system, its energy consumption of different operating pressures
Characteristic is different, it is determined that the operating pressure of each pipeline, environmental parameter have determined that the optimization that the pipeline uses in optimization process
Energy consumption model；Each single conduit generates energy consumption in pipe network, wherein electricity drives unit power consumption, unit gas consumption, each single conduit are driven in combustion
Electricity price, gas price have differences, after determining the electricity price of each single conduit, gas price, in conjunction with the pipeline energy consumption model having determined, just
The relationship between pipeline displacement and energy consumption cost has been determined indirectly；
For the gas source of a plurality of pipeline connection, such as connecting the gas source has 3 pipelines, and the total air demand of gas source is Q, firstly, really
The tolerance of fixed first pipeline (pipeline 1) is Q1, then determines that the tolerance of Article 2 pipeline (pipeline 2) is Q2, then, Article 3
The tolerance of pipeline (pipeline 3) is Q3=Q-Q1-Q2.If these pipelines are connected to other pipelines in downstream, according to other gas sources
Air demand, also can determine that the displacement of downstream line, according to the conservation of mass, the gas transmission of each pipeline in available full pipe network
Amount constitutes a scheme of pipe network tolerance distribution, is defined as tolerance allocation plan 1.The displacement of each pipeline determines in pipe network
Afterwards, the optimization operation equation group of each single conduit is brought into, the power consumption values of available corresponding single conduit, comprehensive energy consumption is monovalent to be obtained
The energy consumption cost of single conduit under to the displacement.The energy consumption cost of single conduits all in pipe network is summed, tolerance can be obtained
The pipe network energy consumption total cost of allocation plan 1.
Then, according to each pipeline displacement range, using the cyclical function in VB, Q1 is constant, and Q2 increases, and corresponding Q3 subtracts
Small, pipe network obtains " tolerance allocation plan 2 ", and the pipe network energy consumption total cost of the program can be obtained.It is continuously increased Q2, can be obtained several
Scheme after circulation, starts the circulation of upper level Q1.After circulation, all possible tolerance allocation plan is obtained pair
The pipe network energy consumption cost answered, is screened out from it minimum value, obtains the optimization operation result of entire gas distributing system.
After obtaining pipe network optimization operation result, the starting compressor station scheme of corresponding each pipeline, each compressor station are opened into machine
The operation of each pipeline displacement of scheme, this programme, this programme each pipeline power consumption values (power consumption and air consumption), each pipeline of this programme
Expense, this programme pipe network operation total cost are presented on interface, for production run personnel use, as adjustment pipe network operation according to
According to.
It is merely a preferred embodiment of the present invention, is not intended to restrict the invention, for the technology of this field described in upper
For personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (3)
1. a kind of design method suitable for the optimization operation of regional gas distributing system, which is characterized in that this method includes following
Step:
Step 101: establish pipe network optimization operation data library:
According to pipeline actual motion report each in pipe network, and in conjunction with conduit running unit, determine that each pipeline may be deposited in pipe network
Operating pressure, construct the throughput rate step under each pressure step, and using conduit running energy consumption cost as optimum target, obtain
Optimal transportation scheme of each pipeline under different pressures step, different throughput rate steps, composition pipe network optimize operation data in pipe network
Library；
Step 102: establish each pipeline energy consumption model in pipe network:
Optimize the energy consumption data in operation data library according to the pipe network of step 101, using displacement as horizontal axis, energy consumption is the longitudinal axis, is drawn
The energy consumption curve within the scope of the displacement is made, and pipeline throughput rate under certain pressure is obtained using least square method curve-fitting method
With energy consumption curve, as pipeline energy consumption model；
Step 103: the optimization operation result of pipe network is calculated, is specifically included:
Step 1: determine each gas source amount of pipe network,
Step 2: determine the operating pressure and environmental parameter of each pipeline in pipe network,
Step 3: determine the energy consumption unit price of each pipeline in pipe network,
Step 4: determining pipe network tolerance allocation plan, and single is calculated according to energy consumption unit price and the pipeline energy consumption model of step 102
Energy consumption cost under pipeline difference displacement, to obtain the energy consumption total cost of pipe network；
Step 5: the optimization operation result for selecting pipe network energy charge to use the allocation plan of minimum value as pipe network, and result is shown
Show.
2. a kind of design method suitable for the optimization operation of regional gas distributing system according to claim 1, feature
It is, in step 103, different pipe network tolerance allocation plans is obtained by using the cyclical function in VB.
3. a kind of design method suitable for the optimization operation of regional gas distributing system according to claim 1, feature
It is, in step 103, the optimization operation result of pipe network is shown by graphic interface.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910243112.2A CN109977555A (en) | 2019-03-27 | 2019-03-27 | A kind of design method suitable for the optimization operation of regional gas distributing system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910243112.2A CN109977555A (en) | 2019-03-27 | 2019-03-27 | A kind of design method suitable for the optimization operation of regional gas distributing system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109977555A true CN109977555A (en) | 2019-07-05 |
Family
ID=67081157
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910243112.2A Pending CN109977555A (en) | 2019-03-27 | 2019-03-27 | A kind of design method suitable for the optimization operation of regional gas distributing system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109977555A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113361763A (en) * | 2021-06-02 | 2021-09-07 | 中海石油气电集团有限责任公司 | All-time operation optimization method and system for gas transmission pipe network |
| CN113654255A (en) * | 2021-08-02 | 2021-11-16 | 北京京仪自动化装备技术股份有限公司 | Refrigeration system, compressor frequency control method, electronic device, and storage medium |
| CN113775928A (en) * | 2021-09-08 | 2021-12-10 | 中海石油气电集团有限责任公司 | Dispatching method of LNG receiving station external transmission system with matched long transmission pipeline |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104166344A (en) * | 2014-05-12 | 2014-11-26 | 中国石油大学(华东) | Natural gas pipeline network operation regulation and control method based on self-adaptive dynamic planning |
| US20150261893A1 (en) * | 2014-04-22 | 2015-09-17 | China University Of Petroleum - Beijing | Method and apparatus for determining pipeline flow status parameter of natural gas pipeline network |
| CN105930557A (en) * | 2016-04-08 | 2016-09-07 | 辽宁石油化工大学 | Natural gas pipeline network transport simulation method and implementation system |
| CN107169633A (en) * | 2017-04-20 | 2017-09-15 | 中石化石油工程技术服务有限公司 | A kind of gas line network, gas storage peak regulating plan integrated evaluating method |
| CN108733090A (en) * | 2017-04-18 | 2018-11-02 | 气体产品与化学公司 | Meet the control system in the natural gas line network of energy consumption limitation |
| CN109064033A (en) * | 2018-08-07 | 2018-12-21 | 中国海洋石油集团有限公司 | A kind of tolerance dispatching method of gas distributing system |
-
2019
- 2019-03-27 CN CN201910243112.2A patent/CN109977555A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150261893A1 (en) * | 2014-04-22 | 2015-09-17 | China University Of Petroleum - Beijing | Method and apparatus for determining pipeline flow status parameter of natural gas pipeline network |
| CN104166344A (en) * | 2014-05-12 | 2014-11-26 | 中国石油大学(华东) | Natural gas pipeline network operation regulation and control method based on self-adaptive dynamic planning |
| CN105930557A (en) * | 2016-04-08 | 2016-09-07 | 辽宁石油化工大学 | Natural gas pipeline network transport simulation method and implementation system |
| CN108733090A (en) * | 2017-04-18 | 2018-11-02 | 气体产品与化学公司 | Meet the control system in the natural gas line network of energy consumption limitation |
| CN107169633A (en) * | 2017-04-20 | 2017-09-15 | 中石化石油工程技术服务有限公司 | A kind of gas line network, gas storage peak regulating plan integrated evaluating method |
| CN109064033A (en) * | 2018-08-07 | 2018-12-21 | 中国海洋石油集团有限公司 | A kind of tolerance dispatching method of gas distributing system |
Non-Patent Citations (2)
| Title |
|---|
| 姜鹏等: "基于能耗指标对国内天然气管网的能耗分析", 《油气储运》 * |
| 安云朋 等: "西部天然气管网优化运行研究", 《中国石油石化工程建设创新发展大会论文集》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113361763A (en) * | 2021-06-02 | 2021-09-07 | 中海石油气电集团有限责任公司 | All-time operation optimization method and system for gas transmission pipe network |
| CN113361763B (en) * | 2021-06-02 | 2023-12-01 | 中海石油气电集团有限责任公司 | Full-time operation optimization method and system for gas transmission pipe network |
| CN113654255A (en) * | 2021-08-02 | 2021-11-16 | 北京京仪自动化装备技术股份有限公司 | Refrigeration system, compressor frequency control method, electronic device, and storage medium |
| CN113654255B (en) * | 2021-08-02 | 2022-08-30 | 北京京仪自动化装备技术股份有限公司 | Refrigeration system, compressor frequency control method, electronic device, and storage medium |
| CN113775928A (en) * | 2021-09-08 | 2021-12-10 | 中海石油气电集团有限责任公司 | Dispatching method of LNG receiving station external transmission system with matched long transmission pipeline |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109977555A (en) | A kind of design method suitable for the optimization operation of regional gas distributing system | |
| CN113032935B (en) | Large parallel natural gas pipe network optimization operation model and solving method | |
| CN110717226B (en) | Regional comprehensive energy system layout planning method considering topological characteristics of energy network | |
| Zhang et al. | The construction of the integration of water and fertilizer smart water saving irrigation system based on big data | |
| Zhou et al. | Future scenario of China’s downstream oil supply chain: Low carbon-oriented optimization for the design of planned multi-product pipelines | |
| CN109784746A (en) | Urban-rural water supply network waterpower simulation of water quality platform | |
| CN108846507A (en) | Electric-gas coupled system based on MIXED INTEGER Second-order cone programming economic load dispatching method a few days ago | |
| CN104573853B (en) | The systematization of low-voltage platform area distribution network voltage quality evaluation and optimization solves method | |
| CN111582658B (en) | Energy station equipment configuration and pipeline planning method considering multi-zone interconnection cooperation | |
| CN102541015A (en) | Intelligent energy efficiency control system and method | |
| CN107506536B (en) | Water supply optimization partitioning method for multi-water-source water supply pipe network | |
| CN104929191A (en) | Water supply network leakage loss control method | |
| CN102044020A (en) | Power distribution reliability pre-control method based on distribution network topology | |
| CN104301370A (en) | Industrial field data internet-of-things management system | |
| CN111832138B (en) | Regional pipe network topology optimization method | |
| CN107748968A (en) | A kind of construction method of distribution network engineering cost Data Analysis Model | |
| CN109636052A (en) | A kind of collaborative planning method of gas electric system | |
| CN109558673A (en) | A kind of natural gas transmission and distribution system Adaptability Analysis research method | |
| CN113393038A (en) | Comprehensive energy station network and demand response cooperation planning method | |
| CN107391856A (en) | Optimize the method for water meter and valve location in a kind of water supply network subregion | |
| CN109980640A (en) | Become relation recognition method with cable based on multiple agent collaboration optimization | |
| KR101089170B1 (en) | Advanced process control method for district heat network | |
| CN116306024A (en) | Multi-air-source pipe network operation scheduling optimization method based on energy metering | |
| CN109882909A (en) | A kind of distributing-supplying-energy system and energy supply method | |
| Nikbakht et al. | Multi-echelon Supply chain design in natural Gas industry |
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: 20190705 |