Cheng Haozhong
Shanghai Jiao Tong University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Cheng Haozhong.
international conference on electric utility deregulation and restructuring and power technologies | 2008
Kong Tao; Cheng Haozhong; Hu Zechun; Wang Chun; Huang Wei; Chen Chunqin; Gao Yubo
In this paper, an advanced method for the planning of open-loop medium voltage (MV) distribution network is proposed. The multiobjective planning model is constructed, and a special multiobjective genetic algorithm (MOGA) is designed based on the network dataset built by component geographical information systems (ComGIS). The network analysis function of the ComGIS is embedded in the overall optimization process to find single-loop optimal paths. Crossover and mutation operator are designed according to characteristics of the coding. The evolutionary orientation is directed by the fitness function based on Pareto order of individuals. The Pareto optimal set (POS) including several candidate planning schemes is gotten through MOGA, from which the recommended scheme is selected. The method has been applied to real life power distribution networks, showing its potential in practical applications.
international conference on electric utility deregulation and restructuring and power technologies | 2011
Miao Yuancheng; Cheng Haozhong; Yao Liangzhong; Bazargan Masoud
Because of the mature of MicroGrid technology in China, more and more power users tend to use the new MicroGrid to improve its power reliability. Whether the traditional connection mode of distribution network is able to suit the actual needs of MicroGrid users has become a real problem which can not be avoided in network planning. First of all, some typical connection modes which are representative in current distribution network have been analyzed and described. After that, an automated distribution network planning has been conducted in this paper. Then, a evaluation of various connection modes which include or exclude MicroGrid based on the previous distribution network planning has been conducted. In the evaluation, two factors which represent the reliability and economy have been considered. They are: Average Service Availability Index (ASAI) and Annual Fee per Load Unit. Finally, a comprehensive comparison has been executed in order to analyze the advantage and disadvantage of various distribution network connection modes which include or exclude MicroGrid.
IFAC Proceedings Volumes | 1997
Cheng Haozhong; Chen Zhangchao; Yorino Naoto
Abstract This paper proposes a novel simplified approach to estimate a closest voltage collapse margin. The proposed approach has two stages of computations. The first stage is to compute an approximated closest voltage collapse point. This computation includes a pair of multiple load flow solutions. The left and right eigenvectors corresponding to the zero eigenvalue of load flow Jacobian are also approximated. Most of the computation time at this stage is taken to calculate the multiple load flow solution pair. Additional computation time is less than that of an ordinary load flow. The second stage is to refine the approximated solutions that are obtained in first stage, and this may be carried out only when the exact solution is needed. Equations to be solved at stage 2 is of dimension 2n+l, for n-dimensional load flow equations.
Electric Power Systems Research | 2005
L.V. Ganyun; Cheng Haozhong; Zhai Haibao; Dong Lixin
European Transactions on Electrical Power | 2010
Li Hongzhong; Cheng Haozhong; Yan Zheng
Archive | 2015
Cheng Haozhong; Wu Peng; Ma Zhoujun; Xu Qun; Yu Haobin; Shen Zhongqi; Tang Xiaowei; Zhang Libo; Gong Xiaoxue
Automation of electric power systems | 2007
Cheng Haozhong
Automation of electric power systems | 2007
Cheng Haozhong
Archive | 2013
Cheng Haozhong; Gong Xiaoxue; Miao Yuancheng; Yao Liangzhong; Wang Lifeng; Zhang Xiaoyue
Archive | 2014
Cheng Haozhong; Liu Shu; Fang Lue; Shi Shanshan; Zhang Yifei; Fang Chen; Zeng Pingliang; Zhang Shenxi; Lan Zhou; Xie Qian