CN106058914A - 基于Elman算法的配网发电预测技术的电压优化方法 - Google Patents
基于Elman算法的配网发电预测技术的电压优化方法 Download PDFInfo
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- CN106058914A CN106058914A CN201610368616.3A CN201610368616A CN106058914A CN 106058914 A CN106058914 A CN 106058914A CN 201610368616 A CN201610368616 A CN 201610368616A CN 106058914 A CN106058914 A CN 106058914A
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- H02J3/383—
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- 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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
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CN201610368616.3A CN106058914B (zh) | 2016-05-27 | 2016-05-27 | 基于Elman算法的配网发电预测技术的电压优化方法 |
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Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106961249A (zh) * | 2017-03-17 | 2017-07-18 | 广西大学 | 一种光伏阵列故障诊断和预警方法 |
CN108665112A (zh) * | 2018-05-16 | 2018-10-16 | 东华大学 | 基于改进粒子群优化Elman网络的光伏故障检测方法 |
CN110110434A (zh) * | 2019-05-05 | 2019-08-09 | 重庆大学 | 一种概率潮流深度神经网络计算的初始化方法 |
CN110556851A (zh) * | 2019-09-12 | 2019-12-10 | 云南电网有限责任公司临沧供电局 | 基于电动汽车换电站的配电网优化电压管理方法 |
CN111384726A (zh) * | 2020-01-21 | 2020-07-07 | 国网安徽省电力有限公司六安供电公司 | 一种高渗透率光伏配电网分区调压方法 |
CN111756049A (zh) * | 2020-06-18 | 2020-10-09 | 国网浙江省电力有限公司电力科学研究院 | 计及配电网实时量测信息缺失的数据驱动无功优化方法 |
CN112418950A (zh) * | 2020-12-08 | 2021-02-26 | 江苏科技大学 | 计及光伏的微电网短期负荷预测及控制方法 |
CN112884238A (zh) * | 2021-03-12 | 2021-06-01 | 国网冀北电力有限公司电力科学研究院 | 光伏发电功率预测方法及装置 |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2009065778A (ja) * | 2007-09-06 | 2009-03-26 | Tokyo Electric Power Co Inc:The | 電力系統監視制御システム |
CN102570489A (zh) * | 2012-02-29 | 2012-07-11 | 中国南方电网有限责任公司调峰调频发电公司 | 一种电池储能系统的动态功率协调控制方法 |
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2016
- 2016-05-27 CN CN201610368616.3A patent/CN106058914B/zh active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2009065778A (ja) * | 2007-09-06 | 2009-03-26 | Tokyo Electric Power Co Inc:The | 電力系統監視制御システム |
CN102570489A (zh) * | 2012-02-29 | 2012-07-11 | 中国南方电网有限责任公司调峰调频发电公司 | 一种电池储能系统的动态功率协调控制方法 |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106961249A (zh) * | 2017-03-17 | 2017-07-18 | 广西大学 | 一种光伏阵列故障诊断和预警方法 |
CN106961249B (zh) * | 2017-03-17 | 2019-02-19 | 广西大学 | 一种光伏阵列故障诊断和预警方法 |
CN108665112A (zh) * | 2018-05-16 | 2018-10-16 | 东华大学 | 基于改进粒子群优化Elman网络的光伏故障检测方法 |
CN110110434A (zh) * | 2019-05-05 | 2019-08-09 | 重庆大学 | 一种概率潮流深度神经网络计算的初始化方法 |
CN110110434B (zh) * | 2019-05-05 | 2020-10-16 | 重庆大学 | 一种概率潮流深度神经网络计算的初始化方法 |
CN110556851A (zh) * | 2019-09-12 | 2019-12-10 | 云南电网有限责任公司临沧供电局 | 基于电动汽车换电站的配电网优化电压管理方法 |
CN111384726A (zh) * | 2020-01-21 | 2020-07-07 | 国网安徽省电力有限公司六安供电公司 | 一种高渗透率光伏配电网分区调压方法 |
CN111756049A (zh) * | 2020-06-18 | 2020-10-09 | 国网浙江省电力有限公司电力科学研究院 | 计及配电网实时量测信息缺失的数据驱动无功优化方法 |
CN111756049B (zh) * | 2020-06-18 | 2021-09-21 | 国网浙江省电力有限公司电力科学研究院 | 计及配电网实时量测信息缺失的数据驱动无功优化方法 |
CN112418950A (zh) * | 2020-12-08 | 2021-02-26 | 江苏科技大学 | 计及光伏的微电网短期负荷预测及控制方法 |
CN112884238A (zh) * | 2021-03-12 | 2021-06-01 | 国网冀北电力有限公司电力科学研究院 | 光伏发电功率预测方法及装置 |
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Effective date of registration: 20161222 Address after: High road high tech Zone of Nanjing City, Jiangsu Province, No. 20 210061 Applicant after: NARI Technology Development Co., Ltd. Applicant after: State Power Networks Co Applicant after: Electric Power Research Institute of State Grid Zhejiang Electric Power Company Applicant after: SGCC NARI Nanjing Control System Co., Ltd. Applicant after: Nanjing Nari Group Corporation Applicant after: State Grid Zhejiang Electric Power Company Address before: High road high tech Zone of Nanjing City, Jiangsu Province, No. 20 210061 Applicant before: NARI Technology Development Co., Ltd. Applicant before: State Power Networks Co Applicant before: Electric Power Research Institute of State Grid Zhejiang Electric Power Company Applicant before: SGCC NARI Nanjing Control System Co., Ltd. Applicant before: Nanjing Nari Group Corporation |
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