CN110515998A - Hydroenergy storage station change working optimization method and system - Google Patents
Hydroenergy storage station change working optimization method and system Download PDFInfo
- Publication number
- CN110515998A CN110515998A CN201910793360.4A CN201910793360A CN110515998A CN 110515998 A CN110515998 A CN 110515998A CN 201910793360 A CN201910793360 A CN 201910793360A CN 110515998 A CN110515998 A CN 110515998A
- Authority
- CN
- China
- Prior art keywords
- change working
- optimization
- timing snapshot
- timing
- power stations
- 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
- 230000008859 change Effects 0.000 title claims abstract description 102
- 238000003860 storage Methods 0.000 title claims abstract description 60
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000005457 optimization Methods 0.000 title claims abstract description 34
- 238000004458 analytical method Methods 0.000 claims abstract description 27
- 230000002159 abnormal effect Effects 0.000 claims abstract description 24
- 230000004048 modification Effects 0.000 claims abstract description 15
- 238000012986 modification Methods 0.000 claims abstract description 15
- 230000004044 response Effects 0.000 claims abstract description 13
- 239000000284 extract Substances 0.000 claims description 5
- 230000008569 process Effects 0.000 abstract description 8
- 238000013433 optimization analysis Methods 0.000 abstract description 3
- 238000004590 computer program Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 6
- 238000012545 processing Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 230000008901 benefit Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004587 chromatography analysis Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000002427 irreversible effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000011430 maximum method Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 238000005086 pumping Methods 0.000 description 1
- 239000002453 shampoo Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
- G06F11/1448—Management of the data involved in backup or backup restore
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/258—Data format conversion from or to a database
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- 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
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Quality & Reliability (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Databases & Information Systems (AREA)
- General Business, Economics & Management (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- Operations Research (AREA)
- General Engineering & Computer Science (AREA)
- Public Health (AREA)
- Primary Health Care (AREA)
- Water Supply & Treatment (AREA)
- Educational Administration (AREA)
- General Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a kind of hydroenergy storage station change working optimization methods, including are based on timing snapshot and not timing snapshot change working data；It is abnormal in response to the Pumped Storage Power Stations after change working, the change working data of backup are extracted, anomaly analysis are carried out, according to anomaly analysis results modification change working step；It is normal in response to the Pumped Storage Power Stations after change working and be not optimal state, the change working data of backup are extracted, analysis is optimized, according to optimization analysis results modification change working step.Also disclose corresponding system.The method that the present invention uses timing snapshot and not timing snapshot to combine, the device parameter changed during standby system change working carries out abnormal and optimization analysis according to device parameter, change working step is modified based on the analysis results, finally obtains optimal switch process.
Description
Technical field
The present invention relates to a kind of hydroenergy storage station change working optimization method and systems, belong to pumped-storage power station neck
Domain.
Background technique
The main function of hydroenergy storage station is the peak-clipping and valley-filling that power load is carried out to power grid, to alleviate peak-valley difference institute band
The electricity consumption contradiction come.
Compared with conventional hydropower station, one maximum feature of hydroenergy storage station is exactly to have power generation and irreversible fortune of drawing water
Capable feature, therefore unit change working is very frequent.In change working, each Step Time length and speed etc. all can be right
Change working success or not has an impact, and in the past in order to obtain the optimal step to tally with the actual situation, needs by with each
Experiment, low efficiency, heavy workload.
Summary of the invention
The present invention provides a kind of hydroenergy storage station change working optimization method and systems, solve in background technique and drape over one's shoulders
The problem of dew.
In order to solve the above-mentioned technical problem, the technical scheme adopted by the invention is that:
Hydroenergy storage station change working optimization method, including,
Based on timing snapshot and not timing snapshot change working data；
It is abnormal in response to the Pumped Storage Power Stations after change working, the change working data of backup are extracted, carry out abnormal point
Analysis, according to anomaly analysis results modification change working step；
Normal in response to the Pumped Storage Power Stations after change working and be not optimal state, the operating condition for extracting backup turns
Data are changed, analysis is optimized, results modification change working step is analyzed according to optimization.
Timing snapshot change working data: according to the preset time interval, periodically change to during change working
Each device parameter backed up；
Not timing snapshot change working data: according to the period set in real time, during change working in the period
Each device parameter of variation is backed up.
The period of not timing snapshot is between adjacent timing Snapshot time section.
Pumped Storage Power Stations operational efficiency after change working reaches maximum, then determines at Pumped Storage Power Stations
In optimum state.
Hydroenergy storage station change working optimization system, including,
Backup module: timing snapshot and not timing snapshot change working data are based on；
Abnormal modified module: it is abnormal in response to the Pumped Storage Power Stations after change working, extract the change working number of backup
According to progress anomaly analysis, according to anomaly analysis results modification change working step；
Optimization modified module: it is normal in response to the Pumped Storage Power Stations after change working and be not optimal state, it mentions
The change working data for taking backup, optimize analysis, analyze results modification change working step according to optimization.
Backup module includes timing snapshot module and not timing snapshot module；
Timing snapshot module: according to the preset time interval, periodically to each device parameter changed during change working
It is backed up；
Not timing snapshot module: each to what is changed during change working in the period according to the period set in real time
Device parameter is backed up.
The period of not timing snapshot is between adjacent timing Snapshot time section.
Pumped Storage Power Stations operational efficiency after change working reaches maximum, and optimization modified module determines water-storage
Electric power station system is in optimum state.
A kind of computer readable storage medium storing one or more programs, one or more of programs include referring to
Enable, described instruction when executed by a computing apparatus so that the calculatings equipment execution hydroenergy storage station change working optimization side
Method.
A kind of calculating equipment, including one or more processors, memory and one or more program, one of them or
Multiple programs store in the memory and are configured as being executed by one or more of processors, one or more of
Program includes the instruction for executing hydroenergy storage station change working optimization method.
Advantageous effects of the invention: the method that the present invention uses timing snapshot and not timing snapshot to combine, standby
The device parameter changed in part system condition conversion process carries out abnormal and optimization and analyzes, tied according to analysis according to device parameter
Fruit modifies change working step, finally obtains optimal switch process.
Detailed description of the invention
Fig. 1 is flow chart of the invention.
Specific embodiment
The invention will be further described below in conjunction with the accompanying drawings.Following embodiment is only used for clearly illustrating the present invention
Technical solution, and not intended to limit the protection scope of the present invention.
As shown in Figure 1, hydroenergy storage station change working optimization method, comprising the following steps:
Step 1, timing snapshot and not timing snapshot change working data are based on.
Timing snapshot change working data: according to the preset time interval, periodically change to during change working
Each device parameter backed up；Not timing snapshot change working data: according to period (the i.e. operator set in real time
Member according to the actual situation, input time section in real time manually), to each device parameter changed during change working in the period into
Row backup；The period of not timing snapshot, not timing snapshot was the benefit of timing snapshot between adjacent timing Snapshot time section
It fills, in order not to data needed for omitting subsequent analysis.
The data of backup can be based on temporal characteristics based on the storage of redis memory technology in the database convenient for subsequent analysis,
Extract corresponding data.
Step 2, if the Pumped Storage Power Stations after change working are abnormal, the change working data of backup are extracted, into
Row anomaly analysis, according to anomaly analysis results modification change working step；
Pumped Storage Power Stations abnormal conditions usually have following several: bearing temperature exception, main fransformer oil Abnormal Chromatography, machine
Group vibration and throw is abnormal, unit is overrun, and abnormal water hammer, high-pressure water conveyance system are operating abnormally water burst etc..
After there are these abnormal conditions in system, may trigger protection device carry out system protection, such as tripping, shut down
Deng causing system out of service；Or monitoring has abnormal data, abnormal sound etc., may need artificial shut down at this time.
According to the device parameter of variation, analyze the variation of each equipment working condition state, analysis cause abnormal main influence because
Element obtains the abnormal step in switch process, to modify to it.
Step 3, normal in response to the Pumped Storage Power Stations after change working and be not optimal state, it extracts standby
The change working data of part, optimize analysis, analyze results modification change working step according to optimization.
In the case where considering situation known to the external conditions such as pump-storage generator head and pumping, shampoo amount, in conjunction with water pump, water wheels
The efficiency of machine and generator determines hydroenergy storage station in economic pump-out/generated energy of day part, to obtain operational efficiency
The maximum method of operation.
Whether Pumped Storage Power Stations are optimal state, are up to target with operational efficiency and carry out judgment basis, i.e.,
Pumped Storage Power Stations operational efficiency after change working reaches maximum, then determines that Pumped Storage Power Stations are in optimal shape
State.
The method that the above method uses timing snapshot and not timing snapshot to combine, standby system change working become in the process
The device parameter of change carries out abnormal and optimization analysis, modifies change working step based on the analysis results, most according to device parameter
Optimal switch process is obtained eventually.
Hydroenergy storage station change working optimization system, comprising:
Backup module: timing snapshot and not timing snapshot change working data are based on.
Abnormal modified module: abnormal in response to the Pumped Storage Power Stations after change working, the operating condition for extracting backup turns
Data are changed, anomaly analysis are carried out, according to anomaly analysis results modification change working step.
Optimization modified module: normal in response to the Pumped Storage Power Stations after change working and be not optimal shape
State extracts the change working data of backup, optimizes analysis, analyzes results modification change working step according to optimization.
Backup module includes timing snapshot module and not timing snapshot module；Timing snapshot module: it presses
According to preset time interval, periodically each device parameter changed during change working is backed up；Not timing snapshot
Module: according to the period set in real time, each device parameter changed during change working in the period is backed up.
The period of not timing snapshot is between adjacent timing Snapshot time section.
Pumped Storage Power Stations operational efficiency after change working reaches maximum, and optimization modified module determines water-storage
Electric power station system is in optimum state.
A kind of computer readable storage medium storing one or more programs, one or more of programs include referring to
Enable, described instruction when executed by a computing apparatus so that the calculating equipment hydroenergy storage station change working optimization method.
A kind of calculating equipment, including one or more processors, memory and one or more program, one of them or
Multiple programs store in the memory and are configured as being executed by one or more of processors, one or more of
Program includes the instruction for executing hydroenergy storage station change working optimization method.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
The above is only the embodiment of the present invention, are not intended to restrict the invention, all in the spirit and principles in the present invention
Within, any modification, equivalent substitution, improvement and etc. done, be all contained in apply pending scope of the presently claimed invention it
It is interior.
Claims (10)
1. hydroenergy storage station change working optimization method, it is characterised in that: including,
Based on timing snapshot and not timing snapshot change working data；
It is abnormal in response to the Pumped Storage Power Stations after change working, the change working data of backup are extracted, carry out abnormal point
Analysis, according to anomaly analysis results modification change working step；
Normal in response to the Pumped Storage Power Stations after change working and be not optimal state, the operating condition for extracting backup turns
Data are changed, analysis is optimized, results modification change working step is analyzed according to optimization.
2. hydroenergy storage station change working optimization method according to claim 1, it is characterised in that:
Timing snapshot change working data: according to the preset time interval, periodically each to what is changed during change working
Device parameter is backed up；
Not timing snapshot change working data: according to the period set in real time, during change working in the period
Each device parameter of variation is backed up.
3. hydroenergy storage station change working optimization method according to claim 1 or 2, it is characterised in that: not timing is fast
According to period between adjacent timing Snapshot time section.
4. hydroenergy storage station change working optimization method according to claim 1, it is characterised in that: after change working
Pumped Storage Power Stations operational efficiency reaches maximum, then determines that Pumped Storage Power Stations are in optimum state.
5. hydroenergy storage station change working optimization system, it is characterised in that: including,
Backup module: timing snapshot and not timing snapshot change working data are based on；
Abnormal modified module: it is abnormal in response to the Pumped Storage Power Stations after change working, extract the change working number of backup
According to progress anomaly analysis, according to anomaly analysis results modification change working step；
Optimization modified module: it is normal in response to the Pumped Storage Power Stations after change working and be not optimal state, it mentions
The change working data for taking backup, optimize analysis, analyze results modification change working step according to optimization.
6. hydroenergy storage station change working optimization system according to claim 5, it is characterised in that: backup module includes
Timing snapshot module and not timing snapshot module；
Timing snapshot module: according to the preset time interval, periodically to each device parameter changed during change working
It is backed up；
Not timing snapshot module: each to what is changed during change working in the period according to the period set in real time
Device parameter is backed up.
7. hydroenergy storage station change working optimization system according to claim 5 or 6, it is characterised in that: not timing is fast
According to period between adjacent timing Snapshot time section.
8. hydroenergy storage station change working optimization system according to claim 5, it is characterised in that: after change working
Pumped Storage Power Stations operational efficiency reaches maximum, and optimization modified module determines that Pumped Storage Power Stations are in optimal shape
State.
9. a kind of computer readable storage medium for storing one or more programs, it is characterised in that: one or more of journeys
Sequence include instruction, described instruction when executed by a computing apparatus so that the calculatings equipment execution according to claim 1 to 4 institutes
Method either in the method stated.
10. a kind of calculating equipment, it is characterised in that: including,
One or more processors, memory and one or more programs, wherein one or more programs are stored in described deposit
It in reservoir and is configured as being executed by one or more of processors, one or more of programs include for executing basis
The instruction of method either in method described in Claims 1-4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910793360.4A CN110515998A (en) | 2019-08-27 | 2019-08-27 | Hydroenergy storage station change working optimization method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910793360.4A CN110515998A (en) | 2019-08-27 | 2019-08-27 | Hydroenergy storage station change working optimization method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110515998A true CN110515998A (en) | 2019-11-29 |
Family
ID=68628014
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910793360.4A Pending CN110515998A (en) | 2019-08-27 | 2019-08-27 | Hydroenergy storage station change working optimization method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110515998A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111581191A (en) * | 2020-04-10 | 2020-08-25 | 岭东核电有限公司 | Nuclear safety data verification method and device, computer equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204085911U (en) * | 2014-03-18 | 2015-01-07 | 上海电机学院 | The fault diagnosis system of wind power generating set |
| CN106610617A (en) * | 2017-01-16 | 2017-05-03 | 广东蓄能发电有限公司 | Pumped storage unit fault analysis system and pumped storage unit fault analysis method |
| CN107577798A (en) * | 2017-09-20 | 2018-01-12 | 郑州云海信息技术有限公司 | A kind of snapshot creation method, device and computer-readable recording medium |
| US20180196456A1 (en) * | 2017-01-12 | 2018-07-12 | Johnson Controls Technology Company | Building energy storage system with peak load contribution cost optimization |
-
2019
- 2019-08-27 CN CN201910793360.4A patent/CN110515998A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204085911U (en) * | 2014-03-18 | 2015-01-07 | 上海电机学院 | The fault diagnosis system of wind power generating set |
| US20180196456A1 (en) * | 2017-01-12 | 2018-07-12 | Johnson Controls Technology Company | Building energy storage system with peak load contribution cost optimization |
| CN106610617A (en) * | 2017-01-16 | 2017-05-03 | 广东蓄能发电有限公司 | Pumped storage unit fault analysis system and pumped storage unit fault analysis method |
| CN107577798A (en) * | 2017-09-20 | 2018-01-12 | 郑州云海信息技术有限公司 | A kind of snapshot creation method, device and computer-readable recording medium |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111581191A (en) * | 2020-04-10 | 2020-08-25 | 岭东核电有限公司 | Nuclear safety data verification method and device, computer equipment and storage medium |
| CN111581191B (en) * | 2020-04-10 | 2023-10-13 | 岭东核电有限公司 | Nuclear safety data verification method, device, computer equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Cohen et al. | Optimizing post-combustion CO2 capture in response to volatile electricity prices | |
| US20200301384A1 (en) | Online multi-period power dispatch with renewable uncertainty and storage | |
| Zhong et al. | Dynamic economic dispatch considering transmission losses using quadratically constrained quadratic program method | |
| US9020800B2 (en) | Method and apparatus for controlling energy services based on market data | |
| Eldali et al. | Employing ARIMA models to improve wind power forecasts: A case study in ERCOT | |
| Abiri-Jahromi et al. | Optimized midterm preventive maintenance outage scheduling of thermal generating units | |
| Madrigal et al. | An interior-point/cutting-plane method to solve unit commitment problems | |
| Ruiz-Castro | Preventive maintenance of a multi-state device subject to internal failure and damage due to external shocks | |
| CN108334997B (en) | Standby optimization method and device based on support fault event constraint unit combination | |
| CA2757885A1 (en) | Methods and systems involving power system grid management | |
| CN115293057B (en) | Wind driven generator fault prediction method based on multi-source heterogeneous data | |
| Xiong et al. | An adjustable robust optimization approach for unit commitment under outage contingencies | |
| CN110513241A (en) | Pumping energy storage machine unit speed regulating device change working method | |
| CN111046319A (en) | Power utilization abnormity analysis method and system for large power users | |
| CN102157949A (en) | Small-signal stability prediction and decision support method | |
| Beldiceanu et al. | Describing and generating solutions for the EDF unit commitment problem with the ModelSeeker | |
| CN116169794B (en) | Prompting device and prompting method for power system | |
| CN110515998A (en) | Hydroenergy storage station change working optimization method and system | |
| CN105158608A (en) | On-line monitoring method of on-line monitoring system in power station | |
| CN106097137A (en) | A kind of anti-electricity-theft monitoring system of differentiation based on power information acquisition system | |
| Liu et al. | Online short-term reliability evaluation using a fast sorting technique | |
| CN102855533A (en) | Method and device for outputting power distribution network maintenance plan based on load sharing algorithm | |
| CN111080487A (en) | Electricity sales market electricity quantity prediction method and device | |
| CN113723869A (en) | Power grid infrastructure project post-evaluation method, device, equipment and medium | |
| Zhou et al. | The static security analysis in power system based on Spark Cloud Computing platform |
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: 20191129 |
|
| RJ01 | Rejection of invention patent application after publication |