CN108898273A - 一种基于形态分析的用户侧负荷特征聚类评价方法 - Google Patents
一种基于形态分析的用户侧负荷特征聚类评价方法 Download PDFInfo
- Publication number
- CN108898273A CN108898273A CN201810533922.7A CN201810533922A CN108898273A CN 108898273 A CN108898273 A CN 108898273A CN 201810533922 A CN201810533922 A CN 201810533922A CN 108898273 A CN108898273 A CN 108898273A
- Authority
- CN
- China
- Prior art keywords
- load
- index
- gravity
- value
- user
- 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
- 238000011156 evaluation Methods 0.000 title claims abstract description 65
- 230000000877 morphologic effect Effects 0.000 title claims abstract description 26
- 238000004458 analytical method Methods 0.000 title claims abstract description 21
- 230000005484 gravity Effects 0.000 claims abstract description 65
- 230000000007 visual effect Effects 0.000 claims abstract description 4
- 238000000034 method Methods 0.000 claims description 24
- 238000004422 calculation algorithm Methods 0.000 claims description 18
- 239000011159 matrix material Substances 0.000 claims description 11
- 238000004364 calculation method Methods 0.000 claims description 6
- 230000008859 change Effects 0.000 claims description 6
- 238000013507 mapping Methods 0.000 claims description 6
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 6
- 239000006185 dispersion Substances 0.000 claims description 3
- 239000000428 dust Substances 0.000 claims description 3
- 230000010354 integration Effects 0.000 claims description 3
- 238000010606 normalization Methods 0.000 claims description 3
- 238000013139 quantization Methods 0.000 claims description 2
- 230000006870 function Effects 0.000 description 7
- 230000008569 process Effects 0.000 description 3
- 230000003542 behavioural effect Effects 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000004146 energy storage Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000002452 interceptive effect Effects 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 235000006508 Nelumbo nucifera Nutrition 0.000 description 1
- 240000002853 Nelumbo nucifera Species 0.000 description 1
- 235000006510 Nelumbo pentapetala Nutrition 0.000 description 1
- 238000007792 addition Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000007418 data mining Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000005012 migration Effects 0.000 description 1
- 238000013508 migration Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000006467 substitution reaction Methods 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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/82—Energy audits or management systems therefor
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
Description
Claims (8)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810533922.7A CN108898273B (zh) | 2018-05-29 | 2018-05-29 | 一种基于形态分析的用户侧负荷特征聚类评价方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810533922.7A CN108898273B (zh) | 2018-05-29 | 2018-05-29 | 一种基于形态分析的用户侧负荷特征聚类评价方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108898273A true CN108898273A (zh) | 2018-11-27 |
CN108898273B CN108898273B (zh) | 2022-04-15 |
Family
ID=64343466
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810533922.7A Active CN108898273B (zh) | 2018-05-29 | 2018-05-29 | 一种基于形态分析的用户侧负荷特征聚类评价方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108898273B (zh) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110516849A (zh) * | 2019-08-02 | 2019-11-29 | 国网上海市电力公司 | 一种基于典型日负荷曲线的负荷分类结果评价方法 |
CN111461429A (zh) * | 2020-03-31 | 2020-07-28 | 上海燃气工程设计研究有限公司 | 一种气电协调的多能互补***优化方法 |
CN115994714A (zh) * | 2023-03-22 | 2023-04-21 | 江苏金寓信息科技有限公司 | 一种基于大数据统计的idc机房锂电池效能评估方法 |
CN116485042A (zh) * | 2023-06-16 | 2023-07-25 | 国网上海能源互联网研究院有限公司 | 一种基于负荷聚类的园区能源***运行的优化方法及装置 |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2009277136A (ja) * | 2008-05-16 | 2009-11-26 | Mitsubishi Electric Corp | 類似度分析評価システム |
CN103036802A (zh) * | 2013-01-08 | 2013-04-10 | 中国科学院计算技术研究所 | 一种流量卸载的方法和*** |
CN103268115A (zh) * | 2013-06-14 | 2013-08-28 | 鲁电集团有限公司 | 电力需求侧监控***及监控方法 |
CN104809255A (zh) * | 2015-05-21 | 2015-07-29 | 国家电网公司 | 一种负荷形态获取方法和*** |
CN105488628A (zh) * | 2015-11-30 | 2016-04-13 | 国网天津市电力公司 | 一种面向电力大数据可视化的数据挖掘方法 |
US20160154061A1 (en) * | 2014-11-28 | 2016-06-02 | State Grid Corporation Of China | Method of assessing risk of power system with high penetration of wind power |
CN106446967A (zh) * | 2016-10-28 | 2017-02-22 | 国网福建省电力有限公司 | 一种新型电力***负荷曲线聚类方法 |
CN106777005A (zh) * | 2016-12-07 | 2017-05-31 | 国网天津市电力公司 | 基于大数据技术改进聚类算法的用户用电行为分析方法 |
CN107273911A (zh) * | 2017-04-24 | 2017-10-20 | 国网江西省电力公司赣州供电分公司 | 一种基于模糊c均值聚类分析的台区负荷精确分类方法 |
CN107730031A (zh) * | 2017-09-25 | 2018-02-23 | 中国电力科学研究院 | 一种超短期高峰负荷预测方法及其*** |
-
2018
- 2018-05-29 CN CN201810533922.7A patent/CN108898273B/zh active Active
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2009277136A (ja) * | 2008-05-16 | 2009-11-26 | Mitsubishi Electric Corp | 類似度分析評価システム |
CN103036802A (zh) * | 2013-01-08 | 2013-04-10 | 中国科学院计算技术研究所 | 一种流量卸载的方法和*** |
CN103268115A (zh) * | 2013-06-14 | 2013-08-28 | 鲁电集团有限公司 | 电力需求侧监控***及监控方法 |
US20160154061A1 (en) * | 2014-11-28 | 2016-06-02 | State Grid Corporation Of China | Method of assessing risk of power system with high penetration of wind power |
CN104809255A (zh) * | 2015-05-21 | 2015-07-29 | 国家电网公司 | 一种负荷形态获取方法和*** |
CN105488628A (zh) * | 2015-11-30 | 2016-04-13 | 国网天津市电力公司 | 一种面向电力大数据可视化的数据挖掘方法 |
CN106446967A (zh) * | 2016-10-28 | 2017-02-22 | 国网福建省电力有限公司 | 一种新型电力***负荷曲线聚类方法 |
CN106777005A (zh) * | 2016-12-07 | 2017-05-31 | 国网天津市电力公司 | 基于大数据技术改进聚类算法的用户用电行为分析方法 |
CN107273911A (zh) * | 2017-04-24 | 2017-10-20 | 国网江西省电力公司赣州供电分公司 | 一种基于模糊c均值聚类分析的台区负荷精确分类方法 |
CN107730031A (zh) * | 2017-09-25 | 2018-02-23 | 中国电力科学研究院 | 一种超短期高峰负荷预测方法及其*** |
Non-Patent Citations (5)
Title |
---|
JIAN LIU 等: "Analysis of customers" electricity consumption behavior based on massive data", 《2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION》 * |
JING HAO 等: "Power System Load Forecasting Based on Fuzzy Clustering and Gray Target Theory", 《ENERGY PROCEDIA》 * |
宋人杰 等: "基于合作博弈法和梯形云模型的配电网模糊综合评价", 《电力***保护与控制》 * |
宋易阳 等: "基于云模型和模糊聚类的电力负荷模式提取方法", 《电网技术》 * |
李文华 等: "基于改进的模糊c-均值聚类算法的负荷特性指标分析与分类", 《燕山大学学报》 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110516849A (zh) * | 2019-08-02 | 2019-11-29 | 国网上海市电力公司 | 一种基于典型日负荷曲线的负荷分类结果评价方法 |
CN111461429A (zh) * | 2020-03-31 | 2020-07-28 | 上海燃气工程设计研究有限公司 | 一种气电协调的多能互补***优化方法 |
CN111461429B (zh) * | 2020-03-31 | 2024-03-15 | 上海能源建设工程设计研究有限公司 | 一种气电协调的多能互补***优化方法 |
CN115994714A (zh) * | 2023-03-22 | 2023-04-21 | 江苏金寓信息科技有限公司 | 一种基于大数据统计的idc机房锂电池效能评估方法 |
CN115994714B (zh) * | 2023-03-22 | 2023-05-19 | 江苏金寓信息科技有限公司 | 一种基于大数据统计的idc机房锂电池效能评估方法 |
CN116485042A (zh) * | 2023-06-16 | 2023-07-25 | 国网上海能源互联网研究院有限公司 | 一种基于负荷聚类的园区能源***运行的优化方法及装置 |
CN116485042B (zh) * | 2023-06-16 | 2023-09-01 | 国网上海能源互联网研究院有限公司 | 一种基于负荷聚类的园区能源***运行的优化方法及装置 |
Also Published As
Publication number | Publication date |
---|---|
CN108898273B (zh) | 2022-04-15 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Zhang et al. | Typical wind power scenario generation for multiple wind farms using conditional improved Wasserstein generative adversarial network | |
CN108898273A (zh) | 一种基于形态分析的用户侧负荷特征聚类评价方法 | |
CN111324642A (zh) | 一种面向电网大数据分析的模型算法选型与评价方法 | |
CN102185735B (zh) | 一种网络安全态势预测方法 | |
CN111144468A (zh) | 电力用户信息标签化方法和装置、电子设备以及存储介质 | |
CN105389636A (zh) | 一种低压台区kfcm-svr合理线损预测方法 | |
Xiao et al. | Multistage decision support framework for sites selection of solar power plants with probabilistic linguistic information | |
CN108376262A (zh) | 一种风电出力典型特性的分析模型构建方法 | |
CN103049651A (zh) | 一种用于电力负荷聚类的方法及装置 | |
CN108345908A (zh) | 电网数据的分类方法、分类设备及存储介质 | |
CN114139940A (zh) | 一种基于组合赋权-云模型的广义需求侧资源网荷互动水平评估方法 | |
CN106296315A (zh) | 基于用户用电数据的情境感知*** | |
CN110096630A (zh) | 一类基于聚类分析的大数据处理方法 | |
Justo et al. | Behavioral similarity of residential customers using a neural network based on adaptive resonance theory | |
CN115545333A (zh) | 一种多负荷日类型配电网负荷曲线预测方法 | |
CN105335810A (zh) | 一种配电网单体项目投资效益评价方法 | |
CN109389517B (zh) | 一种量化线路损耗影响因素的分析方法及装置 | |
CN107093005A (zh) | 基于大数据挖掘算法实现办税服务厅自动分级的方法 | |
CN112488416B (zh) | 一种电网运行态势监测方法及*** | |
Zhang et al. | Hybrid model for renewable energy and load forecasting based on data mining and EWT | |
CN107918779A (zh) | 一种构建多元负荷聚类模型方法及*** | |
CN112632857A (zh) | 一种配电网的线损确定方法、装置、设备和存储介质 | |
CN104463683B (zh) | 一种含多源电网中长期负荷预测方法 | |
CN116739649A (zh) | 一种用户响应潜力评估方法和装置 | |
CN113989073B (zh) | 一种基于大数据挖掘的光伏高占比配网电压时空多维评估方法 |
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 | ||
CB03 | Change of inventor or designer information |
Inventor after: Chai Yufeng Inventor after: Zhang Yan Inventor after: Bai Cuifen Inventor after: Wu Dan Inventor after: Lei Ting Inventor after: Jin Xiaoling Inventor after: Dai Xian Zhong Inventor after: Wang Yang Inventor after: Zhang Chen Inventor after: Zhang Yu Inventor after: Zhang Jun Inventor after: Han Xinyang Inventor after: Zhang Quan Inventor before: Zhang Quan Inventor before: Zhang Chen Inventor before: Zhang Jun Inventor before: Wu Dan Inventor before: Lei Ting Inventor before: Han Xinyang Inventor before: Wang Yang Inventor before: Chai Yufeng Inventor before: Zhang Yu Inventor before: Zhang Yan Inventor before: Dai Xian Zhong Inventor before: Jin Xiaoling Inventor before: Bai Cuifen |
|
CB03 | Change of inventor or designer information | ||
GR01 | Patent grant | ||
GR01 | Patent grant |