J
Jiang Hang
Researcher at Electric Power Research Institute
Publications - 7
Citations - 22
Jiang Hang is an academic researcher from Electric Power Research Institute. The author has contributed to research in topics: Electric vehicle & Energy storage. The author has an hindex of 1, co-authored 7 publications receiving 4 citations.
Papers
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Journal ArticleDOI
Multi-Scenario and Multi-Objective Collaborative Optimization of Distribution Network Considering Electric Vehicles and Mobile Energy Storage Systems
TL;DR: In this paper, the authors proposed an optimal scheduling model for distribution network based on mobile energy storage system, which effectively solves the problem of overvoltage limit caused by the large number of distributed power sources and household electric vehicles in the distribution network.
Journal ArticleDOI
Distribution Network Hierarchically Partitioned Optimization Considering Electric Vehicle Orderly Charging with Isolated Bidirectional DC-DC Converter Optimal Efficiency Model
TL;DR: An EV double-layer scheduling model based on the isolated bidirectional DC–DC (IBDC) converter optimal efficiency model is proposed, and the hierarchical and partitioned optimization model with feeder–branch–load layer is established to improve the global search capability and iteration speed.
Proceedings ArticleDOI
Residual Power Supply Capacity Evaluation of Distribution Network Considering Dynamic Safety Margin of Second-use Electric Vehicle Energy Storage
TL;DR: In this paper, the authors considered using second-use energy storage (SUESS) instead of a brand new energy storage system and proposed a N-l security verification method for the distribution network with SUESS.
Patent
Power distribution network optimization scheduling method based on electric vehicle two-stage rolling strategy
Tong Li,Jiang Hang,Zhou Jinhui,Chen Lei,Shao Xianjun,Xie Cheng,Chen Chao,Wang Ziling,Zhao Qicheng,Zhang Jianping,Jin Zushan,Li Gang,Jin Chao,Jian Zhao,Wang Xiaoyu,Qiushi Zhang +15 more
TL;DR: In this article, a power distribution network optimization scheduling method based on an electric vehicle two-stage rolling strategy is proposed, where a real-time scheduling strategy of the electric vehicle is obtained through a grouping mechanism, and the prediction value is updated in a twostage rolling manner.
Journal ArticleDOI
Distribution System Renewable Hosting Capacity Maximization with Second-Use Electric Vehicle Storage Using Critical Capacity Retention Calculation Model
TL;DR: The case study results show that configured SUESS in the distribution network can not only meet the needs of the Distribution network to fully accommodate distributed generation, but also delay the upgrade of the distribution system.