Wang Hongfu
Electric Power Research Institute
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Wang Hongfu.
ieee international conference on power system technology | 2014
Wang Hongfu; Tao Xianghong; Zhang Zhiqiang; Gao Chong; Yu Hao; Mu Shixia
DC power flow is widely used in power system analysis such as power flow adjusting and fast security assessment, which mainly attributes to its advantages of linearity and rapidity. The active power balance problem caused by the network loss in DC power flow algorithm is researched in this paper. An improved DC power flow algorithm is proposed to reduce the power flow error which is mainly because of the neglect of the active power loss in transmission lines and transformers. In this improved DC power flow algorithm, the active power loss of each branch in the network is simulated with equivalent loads located at both ends of the branch, and so the power injection at each node contains an extra virtual equivalent load in order to balance the active power loss produced by the connected branches. Using this equivalent load model, one of the most critical problems is to calculate the equivalent loads added to the power grid as accurately as possible. If convergent initial power flow results calculated by AC power flow are available, the equivalent loads can be calculated directly and accurately. But in some cases, it is not convenient to obtain a convergent power flow especially when the topology or power injection of power grid model is changed greatly. In order to apply this equivalent load model without dependence on convergent initial power flow, a new effective iteration method is also presented to calculate the equivalent loads. The improved DC power flow algorithm proposed in this paper preserves the linearity and rapidity of standard DC power flow algorithm, but significantly achieves an advantage of much higher calculation accuracy. Plenty of actual calculation examples show that the improved DC power flow algorithm is effective and practical, as the power flow result calculated by the improved algorithm is much closer to the actual value than by the standard algorithm.
Archive | 2014
Liu Daowei; Zhang Jun; Dong Yifeng; Xu Xiaofei; Wang Hongfu; Gao Xun; Wang Yi; Li Tiequn; Zhang Yong; Feng Jing
Archive | 2013
Ma Shiying; Liu Daowei; Zhong Wuzhi; Song Dunwen; Chen Yong; Hou Junxian; Zhang Jian; Wang Yi; Wang Hongfu; Dong Yifeng; Zhang Zhiqiang
Archive | 2016
Wang Yi; Gao Feng; Song Dunwen; Dong Yifeng; Wang Hongfu; Hou Junxian; Ma Shiying; Tang Yong; Zhong Wuzhi; Yang Xuetao; Zhang Haishun; Du San En; Feng Jing; Liu Tao; Liu Daowei; Zhang Zhiqiang; Liu Yanjia
Archive | 2015
Hou Junxian; Na Zhiqiang; Sun Weizhen; Wan Lei; Ni Qiulong; Wang Yi; Zhang Jing; Dong Yifeng; Ye Lin; Wang Hongfu; Wang Chao; Yang Ying; Shi Bolong; Du San En; Feng Jing
Archive | 2014
Dong Yifeng; Mou Tao; Wang Yi; Zheng Weihong; Hou Junxian; Guo Lingxu; Wang Hongfu; Liu Wei; Liu Daowei; E Zhijun; Ma Shiying; Gong Chenghu; Wu Guoyang; Huang Zhigang; Liu Yanjia; Niu Yuehua; Ye Xiaohui; Liu Weichun; Liu Tao; Wei Zhen; Su Zhida
Archive | 2014
Hou Junxian; Dong Yifeng; Wang Yi; Zhong Wuzhi; Wang Hongfu; Feng Jing; Yang Xuetao; Zhang Zhiqiang; Zhang Haishun; Xu Pengfei
Archive | 2013
Wang Hongfu; Wang Yi; Dong Yifeng; Liu Daowei; Ma Shiying; Tang Yong; Hou Junxian; Tao Xianghong; Fan Ya Na; Zhi Zhi; Zhang Zhiqiang; Li Xiaobin
Archive | 2017
Dong Yifeng; Hou Junxian; Wang Yi; Wang Hongfu; Zhong Wuzhi; Tang Yong; Liu Tao; Wan Lei; Tao Xianghong; Lu Jun; Feng Jing
Archive | 2016
Liu Xiaoming; Niu Xinsheng; Wang Hongfu; Ma Shiying; Hou Junxian; Tao Xianghong; Xiao Jing; Liu Yanjia; Fan Yana; Zhi Zhi; Zhang Zhiqiang; Zhang Jie; Yang Bin; Zhang Tianbao; Wang Yuan; An Peng