CN109308541A - 一种基于场景分析的电动汽车充电负荷预测方法 - Google Patents
一种基于场景分析的电动汽车充电负荷预测方法 Download PDFInfo
- Publication number
- CN109308541A CN109308541A CN201810869011.1A CN201810869011A CN109308541A CN 109308541 A CN109308541 A CN 109308541A CN 201810869011 A CN201810869011 A CN 201810869011A CN 109308541 A CN109308541 A CN 109308541A
- Authority
- CN
- China
- Prior art keywords
- electric car
- charging
- day
- trip
- probability
- 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
- 238000013277 forecasting method Methods 0.000 title claims abstract description 19
- 238000009826 distribution Methods 0.000 claims abstract description 28
- 230000006399 behavior Effects 0.000 claims abstract description 17
- 238000000034 method Methods 0.000 claims abstract description 15
- 230000002123 temporal effect Effects 0.000 claims abstract description 15
- 238000005315 distribution function Methods 0.000 claims abstract description 12
- 230000007704 transition Effects 0.000 claims abstract description 4
- 238000010276 construction Methods 0.000 claims abstract 2
- 239000011159 matrix material Substances 0.000 claims description 8
- 230000008569 process Effects 0.000 claims description 7
- 230000005611 electricity Effects 0.000 claims description 6
- 238000012546 transfer Methods 0.000 claims description 5
- 230000003542 behavioural effect Effects 0.000 claims description 3
- SAZUGELZHZOXHB-UHFFFAOYSA-N acecarbromal Chemical compound CCC(Br)(CC)C(=O)NC(=O)NC(C)=O SAZUGELZHZOXHB-UHFFFAOYSA-N 0.000 claims 10
- 102000002274 Matrix Metalloproteinases Human genes 0.000 claims 1
- 108010000684 Matrix Metalloproteinases Proteins 0.000 claims 1
- 238000011161 development Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000004134 energy conservation Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003032 molecular docking Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 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
- 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
- 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
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
- G06Q10/06375—Prediction of business process outcome or impact based on a proposed change
-
- 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)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
Description
Claims (10)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810869011.1A CN109308541A (zh) | 2018-08-02 | 2018-08-02 | 一种基于场景分析的电动汽车充电负荷预测方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810869011.1A CN109308541A (zh) | 2018-08-02 | 2018-08-02 | 一种基于场景分析的电动汽车充电负荷预测方法 |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109308541A true CN109308541A (zh) | 2019-02-05 |
Family
ID=65225875
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810869011.1A Pending CN109308541A (zh) | 2018-08-02 | 2018-08-02 | 一种基于场景分析的电动汽车充电负荷预测方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109308541A (zh) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110826813A (zh) * | 2019-11-13 | 2020-02-21 | 上海恒能泰企业管理有限公司璞能电力科技工程分公司 | 基于家用电动汽车用户充电差异性需求的电网优化方法 |
CN111898822A (zh) * | 2020-07-30 | 2020-11-06 | 东北电力大学 | 基于多相关日场景生成的充电负荷区间预测方法 |
WO2020237539A1 (zh) * | 2019-05-29 | 2020-12-03 | 西门子股份公司 | 电力负荷的预测方法、装置及存储介质 |
CN112215415A (zh) * | 2020-09-29 | 2021-01-12 | 长安大学 | 基于概率模型最优分位点的汽车充电负荷场景预测方法 |
CN113159578A (zh) * | 2021-04-22 | 2021-07-23 | 杭州电子科技大学 | 基于强化学习的大型电动汽车充电站的充电优化调度方法 |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105719030A (zh) * | 2016-03-29 | 2016-06-29 | 武汉大学 | 一种基于效能最大化原则的电动汽车负荷预测方法 |
CN107146013A (zh) * | 2017-04-28 | 2017-09-08 | 国网北京市电力公司 | 一种基于灰色预测和支持向量机的分类型电动汽车需求时空分布动态预测方法 |
CN107392400A (zh) * | 2017-09-04 | 2017-11-24 | 重庆大学 | 计及实时交通与温度的ev充电负荷时空分布预测方法 |
CN108510128A (zh) * | 2018-04-11 | 2018-09-07 | 华南理工大学广州学院 | 一种区域电动汽车充电负荷时空分布预测方法 |
-
2018
- 2018-08-02 CN CN201810869011.1A patent/CN109308541A/zh active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105719030A (zh) * | 2016-03-29 | 2016-06-29 | 武汉大学 | 一种基于效能最大化原则的电动汽车负荷预测方法 |
CN107146013A (zh) * | 2017-04-28 | 2017-09-08 | 国网北京市电力公司 | 一种基于灰色预测和支持向量机的分类型电动汽车需求时空分布动态预测方法 |
CN107392400A (zh) * | 2017-09-04 | 2017-11-24 | 重庆大学 | 计及实时交通与温度的ev充电负荷时空分布预测方法 |
CN108510128A (zh) * | 2018-04-11 | 2018-09-07 | 华南理工大学广州学院 | 一种区域电动汽车充电负荷时空分布预测方法 |
Non-Patent Citations (3)
Title |
---|
贵州电网有限责任公司组: "《电动汽车充电管理云平台与智能充电技术》", 31 December 2017, 贵州大学出版社 * |
赵书强等: ""基于出行链理论的电动汽车充电需求分析方法"", 《电力自动化设备》 * |
饶娆等: "《电动汽车充放电模式及策略优化》", 31 January 2018, 中国经济出版社 * |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2020237539A1 (zh) * | 2019-05-29 | 2020-12-03 | 西门子股份公司 | 电力负荷的预测方法、装置及存储介质 |
US11740603B2 (en) | 2019-05-29 | 2023-08-29 | Siemens Aktiengesellschaft | Power load prediction method and apparatus, and storage medium |
CN110826813A (zh) * | 2019-11-13 | 2020-02-21 | 上海恒能泰企业管理有限公司璞能电力科技工程分公司 | 基于家用电动汽车用户充电差异性需求的电网优化方法 |
CN111898822A (zh) * | 2020-07-30 | 2020-11-06 | 东北电力大学 | 基于多相关日场景生成的充电负荷区间预测方法 |
CN111898822B (zh) * | 2020-07-30 | 2022-06-03 | 东北电力大学 | 基于多相关日场景生成的充电负荷区间预测方法 |
CN112215415A (zh) * | 2020-09-29 | 2021-01-12 | 长安大学 | 基于概率模型最优分位点的汽车充电负荷场景预测方法 |
CN113159578A (zh) * | 2021-04-22 | 2021-07-23 | 杭州电子科技大学 | 基于强化学习的大型电动汽车充电站的充电优化调度方法 |
CN113159578B (zh) * | 2021-04-22 | 2022-05-20 | 杭州电子科技大学 | 基于强化学习的大型电动汽车充电站的充电优化调度方法 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109308541A (zh) | 一种基于场景分析的电动汽车充电负荷预测方法 | |
Ioakimidis et al. | Peak shaving and valley filling of power consumption profile in non-residential buildings using an electric vehicle parking lot | |
CN107169273B (zh) | 计及延时和v2g充电模式的电动汽车充电功率预测方法 | |
CN108334991B (zh) | 一种电动汽车充电站规划方法及系统 | |
CN111311122B (zh) | 面向智慧城市的充电站建设方法 | |
Muratori et al. | Highly-resolved modeling of personal transportation energy consumption in the United States | |
Yang et al. | EV charging behaviour analysis and modelling based on mobile crowdsensing data | |
CN105160428A (zh) | 高速公路电动汽车快速充电站的规划方法 | |
CN111400662B (zh) | 一种考虑电动汽车充电需求的空间负荷预测方法 | |
CN106355290A (zh) | 一种基于马尔科夫链的电动汽车充电负荷预测方法及系统 | |
Bashash et al. | On the aggregate grid load imposed by battery health-conscious charging of plug-in hybrid electric vehicles | |
CN108376985B (zh) | 一种电动汽车充电负荷模型建立及节点电压计算方法 | |
CN110429596B (zh) | 计及电动汽车时空分布的配电网可靠性评估方法 | |
CN109934403A (zh) | 基于数学模型的电动汽车居民区域充电负荷分析预测方法 | |
CN106295860A (zh) | 一种基于蒙特卡洛模拟法的电动汽车规模化充电需求预测方法 | |
CN110363332A (zh) | 一种基于个体行为特性的电动汽车充电负荷时空分布预测方法 | |
CN111199320B (zh) | 基于出行概率矩阵的电动汽车充电负荷时空分布预测方法 | |
Zhou et al. | Probability model and simulation method of electric vehicle charging load on distribution network | |
CN108062591A (zh) | 电动汽车充电负荷时空分布预测方法 | |
CN110232219A (zh) | 一种基于数据挖掘的电动汽车可调度容量核定方法 | |
CN107609670A (zh) | 一种基于copula算法电动汽车充电站负荷预测方法 | |
Rautiainen et al. | Anatomy of electric vehicle fast charging: Peak shaving through a battery energy storage—A case study from Oslo | |
CN110738356A (zh) | 一种基于sdn增强网络的电动汽车充电智能调度方法 | |
CN109977527A (zh) | 一种城市公共充电站网络的充电桩配置方法 | |
He et al. | Expansion planning of electric vehicle charging stations considering the benefits of peak‐regulation frequency modulation |
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: 20210827 Address after: Five 510640 mountain road, Guangzhou, Guangdong, Tianhe District Applicant after: SOUTH CHINA University OF TECHNOLOGY Applicant after: ELECTRIC POWER Research Institute CHINA SOUTHERN POWER GRID Address before: 510640 No. five, 381 mountain road, Guangzhou, Guangdong, Tianhe District Applicant before: SOUTH CHINA University OF TECHNOLOGY Applicant before: POWER GRID TECHNOLOGY RESEARCH CENTER. CHINA SOUTHERN POWER GRID Applicant before: ELECTRIC POWER Research Institute CHINA SOUTHERN POWER GRID |
|
TA01 | Transfer of patent application right | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190205 |
|
RJ01 | Rejection of invention patent application after publication |