CN110363338A - 基于cos衰减性原子分解和混沌理论的风电功率超短期预测方法 - Google Patents
基于cos衰减性原子分解和混沌理论的风电功率超短期预测方法 Download PDFInfo
- Publication number
- CN110363338A CN110363338A CN201910581287.4A CN201910581287A CN110363338A CN 110363338 A CN110363338 A CN 110363338A CN 201910581287 A CN201910581287 A CN 201910581287A CN 110363338 A CN110363338 A CN 110363338A
- Authority
- CN
- China
- Prior art keywords
- wind power
- atom
- formula
- power
- prediction
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000354 decomposition reaction Methods 0.000 title claims abstract description 17
- 238000000034 method Methods 0.000 title claims abstract description 15
- 238000004364 calculation method Methods 0.000 claims abstract description 8
- 230000000739 chaotic effect Effects 0.000 claims abstract description 4
- 238000004088 simulation Methods 0.000 claims abstract description 4
- 230000005684 electric field Effects 0.000 claims description 7
- 230000003044 adaptive effect Effects 0.000 claims description 6
- 238000005070 sampling Methods 0.000 claims description 4
- 230000009466 transformation Effects 0.000 claims description 4
- 230000008602 contraction Effects 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 3
- 238000006073 displacement reaction Methods 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 claims description 3
- 238000009434 installation Methods 0.000 claims description 3
- 230000010355 oscillation Effects 0.000 claims description 3
- 238000012797 qualification Methods 0.000 claims description 3
- 238000013519 translation Methods 0.000 claims description 3
- 230000005611 electricity Effects 0.000 description 3
- 241000208340 Araliaceae Species 0.000 description 2
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 2
- 235000003140 Panax quinquefolius Nutrition 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 235000008434 ginseng Nutrition 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
- 230000005619 thermoelectricity Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression 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
- 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
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Data Mining & Analysis (AREA)
- Human Resources & Organizations (AREA)
- Mathematical Physics (AREA)
- Mathematical Optimization (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Operations Research (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Probability & Statistics with Applications (AREA)
- Water Supply & Treatment (AREA)
- Algebra (AREA)
- Public Health (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Wind Motors (AREA)
Abstract
Description
Claims (1)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910581287.4A CN110363338B (zh) | 2019-06-29 | 2019-06-29 | 基于cos衰减性原子分解和混沌理论的风电功率超短期预测方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910581287.4A CN110363338B (zh) | 2019-06-29 | 2019-06-29 | 基于cos衰减性原子分解和混沌理论的风电功率超短期预测方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110363338A true CN110363338A (zh) | 2019-10-22 |
CN110363338B CN110363338B (zh) | 2022-07-26 |
Family
ID=68216171
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910581287.4A Active CN110363338B (zh) | 2019-06-29 | 2019-06-29 | 基于cos衰减性原子分解和混沌理论的风电功率超短期预测方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110363338B (zh) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110991725A (zh) * | 2019-11-27 | 2020-04-10 | 东北电力大学 | 一种基于风速分频和权值匹配的rbf超短期风电功率预测方法 |
CN111489038A (zh) * | 2020-04-14 | 2020-08-04 | 宁波金风绿能能源有限公司 | 一种提升风电场超短期功率预测准确率的方法 |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020060207A1 (en) * | 1998-07-09 | 2002-05-23 | Damian Coccio | Device for plasma incision of matter with a specifically tuned radiofrequency electromagnetic field generator |
US7813822B1 (en) * | 2000-10-05 | 2010-10-12 | Hoffberg Steven M | Intelligent electronic appliance system and method |
CN105184411A (zh) * | 2015-09-19 | 2015-12-23 | 东北电力大学 | 一种基于最大Lyapunov指数-校正的风电功率实时预测方法 |
CN105335796A (zh) * | 2015-11-02 | 2016-02-17 | 华北电力大学 | 一种风电场输出功率爬坡事件预测的***及方法 |
CN106291475A (zh) * | 2016-07-20 | 2017-01-04 | 南京御达电信息技术有限公司 | 一种用于雷达波形设计优化方法 |
CN109787295A (zh) * | 2019-02-26 | 2019-05-21 | 东北电力大学 | 一种计及风电场状态的风电功率超短期预测计算方法 |
-
2019
- 2019-06-29 CN CN201910581287.4A patent/CN110363338B/zh active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020060207A1 (en) * | 1998-07-09 | 2002-05-23 | Damian Coccio | Device for plasma incision of matter with a specifically tuned radiofrequency electromagnetic field generator |
US7813822B1 (en) * | 2000-10-05 | 2010-10-12 | Hoffberg Steven M | Intelligent electronic appliance system and method |
CN105184411A (zh) * | 2015-09-19 | 2015-12-23 | 东北电力大学 | 一种基于最大Lyapunov指数-校正的风电功率实时预测方法 |
CN105335796A (zh) * | 2015-11-02 | 2016-02-17 | 华北电力大学 | 一种风电场输出功率爬坡事件预测的***及方法 |
CN106291475A (zh) * | 2016-07-20 | 2017-01-04 | 南京御达电信息技术有限公司 | 一种用于雷达波形设计优化方法 |
CN109787295A (zh) * | 2019-02-26 | 2019-05-21 | 东北电力大学 | 一种计及风电场状态的风电功率超短期预测计算方法 |
Non-Patent Citations (4)
Title |
---|
MAO YANG ET AL.: "Ultral-Short-Term Multistep Wind Power Prediction Based on Improved EMD and Reconstruction Method Using Run-Length Analysis", 《IEEE ACCESS》 * |
YAN GANGUI ET AL.: "The Ultral-short Term Prediction of Wind Power Based on Chaotic Time Series", 《ENERGY PROCEDIA》 * |
李军 等: "基于稀疏编码的短期风电功率时间序列预测", 《电力***保护与控制》 * |
杨茂 等: "基于概率分布量化指标和灰色关联决策的风电功率实时预测研究", 《中国电机工程学报》 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110991725A (zh) * | 2019-11-27 | 2020-04-10 | 东北电力大学 | 一种基于风速分频和权值匹配的rbf超短期风电功率预测方法 |
CN110991725B (zh) * | 2019-11-27 | 2022-03-18 | 东北电力大学 | 一种基于风速分频和权值匹配的rbf超短期风电功率预测方法 |
CN111489038A (zh) * | 2020-04-14 | 2020-08-04 | 宁波金风绿能能源有限公司 | 一种提升风电场超短期功率预测准确率的方法 |
CN111489038B (zh) * | 2020-04-14 | 2022-09-30 | 北京天润新能投资有限公司 | 一种提升风电场超短期功率预测准确率的方法 |
Also Published As
Publication number | Publication date |
---|---|
CN110363338B (zh) | 2022-07-26 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Chen et al. | Probabilistic stability analysis of subsynchronous resonance for series-compensated DFIG-based wind farms | |
Milanović | Probabilistic stability analysis: the way forward for stability analysis of sustainable power systems | |
CN105429129B (zh) | 一种考虑网络约束的间歇性能源发电容量置信度评估方法 | |
Aien et al. | Probabilistic power flow of correlated hybrid wind‐photovoltaic power systems | |
Athari et al. | Modeling the uncertainties in renewable generation and smart grid loads for the study of the grid vulnerability | |
Pandit et al. | Data‐driven weather forecasting models performance comparison for improving offshore wind turbine availability and maintenance | |
CN104573876A (zh) | 基于时序长记忆模型的风电场短期风速预测方法 | |
CN107730111A (zh) | 一种考虑用户负荷和新能源接入的配网电压风险评估模型 | |
Abedinia et al. | Improved time varying inertia weight PSO for solved economic load dispatch with subsidies and wind power effects | |
Wu et al. | Random fuzzy power flow of distribution network with uncertain wind turbine, PV generation, and load based on random fuzzy theory | |
CN110363338A (zh) | 基于cos衰减性原子分解和混沌理论的风电功率超短期预测方法 | |
Wen et al. | Data‐driven transient frequency stability assessment: A deep learning method with combined estimation‐correction framework | |
Kaplan et al. | A novel method based on Weibull distribution for short-term wind speed prediction | |
Li et al. | States prediction for solar power and wind speed using BBA‐SVM | |
Ran et al. | Probabilistic evaluation for static voltage stability for unbalanced three‐phase distribution system | |
Jannati et al. | Mitigation of windfarm power fluctuation by adaptive linear neuron‐based power tracking method with flexible learning rate | |
CN112653198A (zh) | 一种基于预测箱的风电出力场景生成方法及*** | |
Yao et al. | Optimized active power dispatching of wind farms considering data-driven fatigue load suppression | |
Nguyen et al. | An improved equilibrium optimizer algorithm for solving optimal power flow problem with penetration of wind and solar energy | |
Cao et al. | An improved integrated cumulant method by probability distribution pre-identification in power system with wind generation | |
Yang et al. | Short‐term photovoltaic power dynamic weighted combination forecasting based on least squares method | |
Zhu et al. | Short-term generation forecast of wind farm using SVM-GARCH approach | |
Alqunun | Optimal Unit commitment problem considering stochastic wind energy penetration | |
Lijie et al. | Short-term wind power prediction with signal decomposition | |
Rasmussen et al. | Application of functional modelling for monitoring of WTG in a cyber‐physical environment |
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 | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20191111 Address after: Jilin City, Jilin province Changchun ship 132012 Camp Road No. 169 Applicant after: NORTHEAST DIANLI University Applicant after: STATE GRID LIAONING ELECTRIC POWER Research Institute Applicant after: CHINA ELECTRIC POWER RESEARCH INSTITUTE Co.,Ltd. Applicant after: STATE GRID CORPORATION OF CHINA Address before: Jilin City, Jilin province Changchun ship 132012 Camp Road No. 169 Applicant before: Northeast Dianli University Applicant before: STATE GRID LIAONING ELECTRIC POWER Research Institute |
|
TA01 | Transfer of patent application right | ||
GR01 | Patent grant | ||
GR01 | Patent grant |