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Changxu Jiang
标题
引用次数
引用次数
年份
Multiple agents and reinforcement learning for modelling charging loads of electric taxis
CX Jiang, ZX Jing, XR Cui, TY Ji, QH Wu
Applied Energy 222, 158-168, 2018
472018
Optimal location of PEVCSs using MAS and ER approach
C Jiang, Z Jing, T Ji, Q Wu
IET Generation, Transmission & Distribution 12 (20), 4377-4387, 2018
212018
Power system emergency control to improve short-term voltage stability using deep reinforcement learning algorithm
CX Jiang, Z Li, JH Zheng, QH Wu
2019 IEEE 3rd international electrical and energy conference (CIEEC), 1872-1877, 2019
122019
A PV generation data reconstruction method based on improved super-resolution generative adversarial network
C Zhang, Z Shao, C Jiang, F Chen
International Journal of Electrical Power & Energy Systems 132, 107129, 2021
102021
Two‐level area‐load modelling for OPF of power system using reinforcement learning
C Jiang, Z Li, JH Zheng, QH Wu, X Shang
IET Generation, Transmission & Distribution 13 (18), 4141-4149, 2019
82019
Optimization of power allocation for the multi-stack PEMEC system considering energy efficiency and degradation
W Zheng, B Lv, Z Shao, B Zhang, Z Liu, J Sun, J Yuan, C Jiang
International Journal of Hydrogen Energy 53, 1210-1225, 2024
62024
Renewable power generation data transferring based on conditional deep convolutions generative adversarial network
C Zhang, Z Shao, F Chen, C Jiang, J Feng
Power System Technology 46 (06), 2182-2190, 2022
62022
Multiobjective optimization of power supply capability of 220 kV power grid concerning load balance
J Zhaoxia, W Hongyi, J Changxu
Power System Technology 41 (5), 1619-1626, 2017
42017
Total Supply Capability Calculation of 220kV Area Power Grid Considering N-1 Security Constraint [J]
J Chaoxia, J Changxu, W Hongyi
Automation of Electric Power Systems 40 (19), 145-152, 2016
42016
Electric vehicle charging navigation strategy in coupled smart grid and transportation network: A hierarchical reinforcement learning approach
C Jiang, L Zhou, JH Zheng, Z Shao
International Journal of Electrical Power & Energy Systems 157, 109823, 2024
32024
考虑 N-1 安全约束的 220kV 片区电网最大供电能力计算
荆朝霞, 江昌旭, 王宏益
电力系统自动化 40 (19), 145-152, 2016
32016
基于条件深度卷积生成对抗网络的新能源发电场景数据迁移方法
张承圣, 邵振国, 陈飞雄, 江昌旭, 冯健冰
电网技术, 2022
22022
考虑负荷均衡的 220 kV 电网供电能力多目标优化
荆朝霞, 王宏益, 江昌旭
电网技术 41 (5), 1619-1626, 2017
22017
基于多代理系统的电动汽车综合运营仿真平台设计与应用
荆朝霞, 胡斌江, 江昌旭
电力建设, 216-221, 2015
22015
考虑 N-1 静态安全约束的 220kV 自愈式环网最大供电能力计算
孙思光, 王克球, 王宏益, 江昌旭, 荆朝霞
南方电网技术 9 (7), 76-81, 2015
22015
基于分层强化学习的电动汽车充电引导方法.
詹华, 江昌旭, 苏庆列
Electric Power Automation Equipment/Dianli Zidonghua Shebei 42 (10), 2022
12022
Multi-stage optimization placement of DPMUs based on node metric indices
J Lin, H Chen, C Jiang, K Han, X Wei, C Fang
Sustainable Energy, Grids and Networks 39, 101488, 2024
2024
An Evaluation Method for Statistical Index of New-type Power System Based on Hierarchical Evidential Reasoning
X Wu, C Xun, L Fu, X Jiang, P Zhuang, X Xu, C Jiang, Z Shao
2024 9th Asia Conference on Power and Electrical Engineering (ACPEE), 462-471, 2024
2024
Interval analysis of the small‐signal stability of grid‐connected voltage‐source converter system considering multiparameter uncertainty
F Ouyang, Z Shao, C Jiang, Y Zhang, F Chen
IET Energy Systems Integration, 2024
2024
基于深度强化学习的电力系统暂态稳定控制策略研究综述
江昌旭, 林铮, 刘晨曦, 林俊杰
高电压技术 49 (12), 5171-5186, 2023
2023
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