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Featured researches published by Liao Yingchen.


ieee region 10 conference | 2013

The maximum power supply capability calculation based on the actual load characteristics

Fan Tianrong; Chen Xingying; Liao Yingchen; Yu Kun; Chen Kai; Liu Jian

Considering operation constraints and the actual load characteristic, the maximum power supply capability and power supply margin of distribution network is real-time calculated, which evaluates more realistically the safety level of distribution network under the current operation mode. It is helpful for the distribution network to supply users safely and reliably with electricity of high quality, which is of great significance for analysis of the safe operation of the distribution network. In this paper, based on the actual load characteristics different kinds of load growth models are established by the least square method. The model for calculating the maximum power supply capability is proposed based on the load growth models. The power supply capability of distribution network under the current operation mode is calculated by the repetitive power flow algorithm, by which we can obtain an accurate and real-time power supply capability of distribution network, and to better evaluate the safety level of distribution network. That will provide scientific basis for prevention, control and recovery of distribution network. The simulation analysis shows that the model is simple and clear. That model can apply to any actual voltage level distribution network, and consider more operation constraints, and has a practical value.


ieee pes asia-pacific power and energy engineering conference | 2010

Notice of Retraction Optimal Power Flow of Receiving Power Network Considering Distributed Generation and Environment Pollution

Liao Yingchen; Gan Deqiang; Chen Xingying; Li Gang; Chang Hui; Yu Kun

By the fact that more and more distributed generations located in receiving power network, proper power arrangement of distributed generations is presented to optimize active power flow of receiving power network. Considering different effect on environment of various distributed generation, environment value index of contamination is used to evaluate the effect on environment of contamination. Based on it a model of environment cost included charge of emission and cost of environment guard against pollution is established. And then a model of OPF included environment cost is established by penalty function method. And primal dual interior point method is used to solve it. At last, simulation test is carried out on data of a receiving power network. The result indicates that cost and loss can be debased at one time, environment pollution can be reduced, on condition that considering environment cost, production cost and loss.


ieee pes asia pacific power and energy engineering conference | 2016

Clustering of large costumer based on characteristics of price response

Ning Yifei; Xingying Chen; Liao Yingchen; Yan Qingguo; Xu Shiming

This paper proposes a clustering method based on the demand response of the load of large users. For evaluate the large users, creatively proposed six characteristics, the difference between peak and valley, load transverse / longitudinal wave load factor, load distribution, limit of load adjustment and critical peak and valley price ratio. Base on all kinds of users index calculation results using comprehensive similarity coefficient calculation, we cluster the large users into three kind of sort: load can be cut, transfer and translation. It makes the response of the users more easily to research. By means of cluster, different kind of large users have a great difference, but load characteristic of larger users has some kind of similarity. Using the cluster can reduce the number for kinds of large users, and according to the user of electricity response characteristics, the users are further categorized as may reduce.


Archive | 2013

Method for quickly restoring power supply of power distribution network containing distributed power source

Chen Xingying; Chen Dan; Liu Jian; Chen Kai; Liao Yingchen; Yu Kun


Archive | 2014

Power distribution network dynamic state reconstruction method based on time varying load distribution characters

Liao Yingchen; Chen Xingying; Yu Kun; Liu Jian; Chen Kai; Fan Tianrong; Chen Dan


Archive | 2014

Source-grid-load interactive control method of power system

Chen Xingying; Yao Jianguo; Yang Shengchun; Wang Ke; Xie Jieyu; Yu Kun; Liao Yingchen


Archive | 2013

Method for processing high-efficiency evaluation indexes of smart distribution network

Yu Kun; Chen Xingying; Liao Yingchen; Wang Xiaojing


Archive | 2014

Progressive intelligent power distribution system scheduling method

Yu Kun; Chen Xingying; Chen Kai; Zhu Hong; Yao Jianguo; Liao Yingchen; Cai Min


Archive | 2015

Wind power time series combined prediction method

Chen Xingying; Jiang Yu; Yao Jianguo; Yu Kun; Liao Yingchen


Archive | 2015

Method for evaluating power load change after making demand responses

Chen Xingying; Zhang Wanyue; Xu Shiming; Wang Chunning; Liao Yingchen; Yang Yongbiao; Yu Kun

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Yao Jianguo

State Grid Corporation of China

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