ISSN 1000-1026
CN 32-1180/TP
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  • CN 32-1180/TP

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Machine Learning for Energy and Electric Power Systems: State of the Art and Prospects
CHENG Lefeng, YU Tao, ZHANG Xiaoshun and YIN Linfei
2019, 43(1): 15-31.DOI: 10.7500/AEPS20180814007
[Abstract](2325)[HTML](0)[PDF 1.67 M](1895)
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Nonlinear Robust State Estimation Feedback Control of Doubly-fed Induction Generator Under Variable Wind Speeds
YANG Bo, SHU Hongchun, QIU Dalin, ZHU Dena, HAN Yiming and YU Tao
2019, 43(4): 60-69.DOI: 10.7500/AEPS20180330007
[Abstract](484)[HTML](0)[PDF 3.71 M](217)
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Optimization Method of Accelerated Convex Decentralization for Low-carbon Dynamic Optimal Gas-Power Flow
LI Haofei, QU Kaiping and YU Tao
2019, 43(12): 85-93.DOI: 10.7500/AEPS20180911008
[Abstract](241)[HTML](0)[PDF 1.54 M](138)
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Cyber-Physical Energy USB System for Multi-user Interaction
YU Tao, TAN Zhukui, CHENG Lefeng, JIANG Haorong, ZHANG Zhiyi and WANG Keying
2019, 43(7): 97-106.DOI: 10.7500/AEPS20180709012
[Abstract](711)[HTML](0)[PDF 2.06 M](438)
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Multi-objective Optimization Dispatching for Wind-Thermal Power Joint System Considering Temporal and Spatial Distribution of Air Pollutants
LI Zhuohuan, CHEN Yixuan, YU Tao and TANG Jianlin
2019, 43(14): 126-135.DOI: 10.7500/AEPS20190225007
[Abstract](31)[HTML](0)[PDF 1.68 M](8)
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Mathematical Relation Between Network Topology and Power Supply Reliability
XU Yue and YU Tao
2019, 43(2): 168-175.DOI: 10.7500/AEPS20180625013
[Abstract](684)[HTML](0)[PDF 1.37 M](430)
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Ensemble Learning for Generation-Consumption Coordinated Frequency Control in an Islanded Microgrid
WANG Dezhi, ZHANG Xiaoshun, LIU Qianjin, YU Tao and PAN Zhenning
2018, 42(10): 46-52.DOI: 10.7500/AEPS20171226004
[Abstract](993)[HTML](0)[PDF 1.33 M](547)
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Analytic Method for Power Supply Reliability Assessment of Electricity-Gas Coupled Energy System
CHEN Juanwei, YU Tao, XU Yue and CHENG Xiaohua
2018, 42(24): 59-66.DOI: 10.7500/AEPS20180619012
[Abstract](649)[HTML](0)[PDF 1.33 M](355)
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Pareto Optimized Algorithm for Distributed Multi-objective Power Flow Based on Multi-area Parallel Cooperation
ZHENG Baomin, YU Tao, QU Kaiping, ZHANG Xiaoshun and YIN Linfei
2018, 42(20): 93-101.DOI: 10.7500/AEPS20171026009
[Abstract](780)[HTML](0)[PDF 1.41 M](465)
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Coordinated Optimal Dispatch of Electricity-Gas-Heat Multi-energy System Considering High Penetration of Electric Vehicles
PAN Zhenning, WANG Keying, QU Kaiping, YU Tao, WANG Dezhi and ZHANG Xiaoshun
2018, 42(4): 104-112.DOI: 10.7500/AEPS20170527007
[Abstract](1221)[HTML](0)[PDF 1.42 M](845)
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Knowledge Transfer Based Q-learning Algorithm for Optimal Dispatch of Multi-energy System
QU Kaiping, ZHANG Xiaoshun, YU Tao and HAN Chuanjia
2017, 41(15): 18-25.DOI: 10.7500/AEPS20170103003
[Abstract](1441)[HTML](0)[PDF 1.36 M](1129)
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Optimization Algorithm of Reinforcement Learning Based Knowledge Transfer Bacteria Foraging for Risk Dispatch
HAN Chuanjia, ZHANG Xiaoshun, YU Tao and QU Kaiping
2017, 41(8): 69-77.DOI: 10.7500/AEPS20160619004
[Abstract](1518)[HTML](0)[PDF 1.70 M](1055)
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Hierarchical Real-time Optimized Dispatching for Large-scale Clusters of Electric Vehicles
PAN Zhenning, ZHANG Xiaoshun, YU Tao and WANG Dezhi
2017, 41(16): 96-104.DOI: 10.7500/AEPS20160919012
[Abstract](1804)[HTML](0)[PDF 1.71 M](1433)
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Robust Collaborative Consensus Algorithm for Economic Dispatch Under Non-ideal Communication Network
XU Hao, ZHANG Xiaoshun and YU Tao
2016, 40(14): 15-24.DOI: 10.7500/AEPS20160112003
[Abstract](1691)[HTML](0)[PDF 2.12 M](934)
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Optimal CPS Command Dispatch Based on Hierarchically Correlated Equilibrium Reinforcement Learning
ZHANG Xiaoshun, YU Tao and TANG Jie
2015, 39(8): 80-86.DOI: 10.7500/AEPS20140506012
[Abstract](2222)[HTML](0)[PDF 1.33 M](899)
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Multi-objective Optimal Carbon Emission Flow Calculation of Power Grid Based on Multi-step Q(λ)Learning Algorithm
ZHANG Xiaoshun, ZHENG Limin and YU Tao
2014, 38(17): 118-123.DOI: 10.7500/AEPS20140513010
[Abstract](1757)[HTML](0)[PDF 1.09 M](1510)
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Double-circuit Control Function for HVDC Transmission System Adopting Common Station and Double-circuit on the Same Tower
WANG Juanjuan, XUAN Xiaocong, LUO Jinghua, XIAO Leilei, LIANG Zeyong and YU Tao
2014, 38(23): 119-126.DOI: 10.7500/AEPS20131029001
[Abstract](1607)[HTML](0)[PDF 1.21 M](1399)
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An Average Reward Model Based Whole Process R(λ)-learning for Optimal CPS Control
YU Tao, YUAN Ye
2010, 34(21): 27-33.
[Abstract](1362)[HTML](0)[PDF ](955)
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Fuzzy Control with Variable Universe and Its Application to AGC Relax Control Based on CPS
YU Tao, YU Wenjun, LI Zhangwen
2009, 33(23): 37-41.DOI: 10.7500/AEPS200906089
[Abstract](1398)[HTML](0)[PDF ](888)
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Development and Application of Loss Calculation Software for HVDC Converter Station
SHI Dan, REN Zhen, YU Tao
2006, 30(19).
[Abstract](1273)[HTML](0)[PDF ](684)
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ISSN 1000-1026

CN 32-1180/TP

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