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检索条件"机构=Key Laboratory of Modem Power System Simulation and Control&Renewable Energy Technology"
295 条 记 录,以下是251-260 订阅
排序:
Dc Fault Ride-Through control for Mmc-Hvdc Grid-Connected Wind Farm Based on energy Storage system
SSRN
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SSRN 2023年
作者: Sun, Yinfeng Guo, Yuhang Lu, Yuze Lu, Mingzhi Key Laboratory of Modern Power System Simulation and Control& Renewable Energy Technology Ministry of Education [Northeast Electric Power University Jilin132012 China State GridShijiazhuang Gaocheng District Electric Supply Company No. 76Changsheng SouthStreet Gaocheng District Shijiazhuang052160 China
Large wind farms connected to the grid through MMC-HVDC systems can cause overloading of the non-faulty converter station after a DC fault. This short communication proposes a system fault ride-through method by coord... 详细信息
来源: 评论
Pre-configuration Method and Scheduling Strategy of Distribution Network Mobile energy Storage Vehicle Considering Intermittent Load of Rural Network
Pre-configuration Method and Scheduling Strategy of Distribu...
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Electronics and Devices, Computational Science (ICEDCS), International Conference on
作者: Xiaoming Lu Yiwen Yao Yechen Xin Dingheng Wang Xinhong Wang Xin Xu Hao Li Economic and Technological Research Institute State Grid Jilin Electric Power Co. Ltd Changchun China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China State Grid Jilin Electric Power Co. Ltd Changchun China
Aiming at the problem of heavy overload in the distribution station area during the peak period of energy consumption caused by intermittent loads such as agricultural motor wells, the mobile energy storage technology... 详细信息
来源: 评论
Reliability Evaluation of a Regional Integrated energy system Based on Complex Network Theory
Reliability Evaluation of a Regional Integrated Energy Syste...
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Sustainable power and energy Conference (iSPEC)
作者: Jifeng Li Kuizheng Song Xingtang He Hao Luo Dalian Electric Power Supply Company State Grid Liaoning Electric Power Supply Co. Ltd Dalian China Dispatching and Control Center State Grid Liaoning Electric Power Supply Co. Ltd Shenyang China Key Laboratory of the Ministry of Education on Smart Power Grids Tianjin University Tianjin China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Jilin China
Most of the methods currently used to evaluate the reliability of integrated energy supply mainly consider such systems on a microgrid scale and focus on the effects of interactions among various energy carriers on th... 详细信息
来源: 评论
Based on the Scenario Set Generation technology, the Shared energy Storage Site Selection and Capacity Determination Problem Considering the Grid Constraints
Based on the Scenario Set Generation Technology, the Shared ...
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power Science and technology (ICPST), IEEE International Conference on
作者: Xiaobiao Fu Jinyu Guo Baoju Li Cuiping Li Yao Wang Junhui Li Guanqun Zhang Xingxu Zhu Dispatching and Control Center State Grid Jilin Electric Power Co. Ltd Chang Chun China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education(Northeast Electric Power University) Ji Lin China Power Science Research Institute State Grid Jilin Electric Power Co. Ltd Chang Chun China
This paper addresses the shared energy storage siting and sizing problem, considering grid constraints based on scenario generation techniques. In the context of high penetration of renewable energy, the power system ... 详细信息
来源: 评论
Deep Sequence to Sequence Attention Network Approach for Short-Term Electricity Price Forecasting
SSRN
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SSRN 2022年
作者: Chen, Haipeng Wu, Huayue Chen, Jian Kan, Tianyang Miao, Sen Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China Department of Electrical Engineering Northeast Electric Power University Jilin132012 China Chengde Power Supply Company State Grid Jibei Electric Power Co. Ltd. Chengde067000 China
With increasing renewable energy penetration and the extension of the power system scale, accurate electricity price prediction has long become a challenging task. The complexity of electricity market information, ins... 详细信息
来源: 评论
Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach
arXiv
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arXiv 2022年
作者: Li, Yang Bu, Fanjin Li, Yuanzheng Long, Chao Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China School of Artifcial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China School of Water Energy and Environment Cranfield University CranfieldMK43 0AL United Kingdom
Multi-uncertainties from power sources and loads have brought significant challenges to the stable demand supply of various resources at islands. To address these challenges, a comprehensive scheduling framework is pr... 详细信息
来源: 评论
Research on the Grid-connected Photovoltaic power Scheduling Strategy Considering the Flexible Load
Research on the Grid-connected Photovoltaic Power Scheduling...
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energy Engineering and power systems (EEPS), International Conference on
作者: Tao Meng Chenggang Li Dexin Li Jiajun Zhang Electric Power Research Institute State Grid Jilin Electric Power Co. Ltd Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education School of Electrical Engineering Northeast Electric Power University Changchun China Electric Power Research Institute State Grid Jilin Electric Power Co. Ltd Changchun China
With the target of "peak carbon dioxide emission" and "carbon neutrality", the installed capacity of renewable energy power generation is increasing rapidly. To improve the absorption capacity of r...
来源: 评论
Optimal Scheduling Strategy of a Regional Integrated energy system Considering renewable energy Uncertainty and Heat Network Transmission Characteristics
SSRN
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SSRN 2022年
作者: Chen, Haipeng Gao, Lin Zhang, Yongling Zhao, Chang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China Department of Electrical Engineering Northeast Electric Power University Jilin132012 China Gongqing Institute of Science and Technology Gongqing City 332020 China National New Energy Group Jilin Jiangnan Thermal Power Limited Company Jilin132012 China
In order to overcome the curtailment of wind energy caused by "power determined by heat" of combined heat and power units, this study proposes an integrated demand response strategy and optimization method f... 详细信息
来源: 评论
Wind power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach
arXiv
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arXiv 2022年
作者: Li, Yang Wang, Ruinong Li, Yuanzheng Zhang, Meng Long, Chao The Key Laboratory of Modern Power System Simulation Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China The State Grid Jilin Electric Power Co. Ltd Jilin Power Supply Company Chuanying District Jilin132001 China The School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China The School of National Key Laboratory of Science and Technology Vessel Integrated Power System Naval University of Engineering Wuhan430033 China The School of Water Energy and Environment Cranfield University United Kingdom
In a modern power system with an increasing proportion of renewable energy, wind power prediction is crucial to the arrangement of power grid dispatching plans due to the volatility of wind power. However, traditional... 详细信息
来源: 评论
Ultra-Short-Term Multi-Step Prediction of Wind power Based on ModernTCN and Multi-Task Learning
Ultra-Short-Term Multi-Step Prediction of Wind Power Based o...
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IEEE International Conference on power and power and renewable energy (ICPRE)
作者: Mao Yang Xiangyu Li Zifen Han Yong Sun Xiqiang Chang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China State Grid Gansu Electric Power Company Gansu China State Grid Jilinsheng Economic And Technological Research Institute Jilin China State Grid Xinjiang Electric Power CO. LTD Xinjiang China
The intermittent and fluctuating nature of wind energy makes it difficult to accurately predict wind power, leading to low penetration in the wind power grid. To address this problem, this paper designs ultra-short-te... 详细信息
来源: 评论