Finished projects

(1) Research and realizes based on neural networks digital intelligence bus protection, November, 2005.

(2) Research of ANN bus protection with function approximation, June, 2005.

(3) Depreciation analysis system sub-module under pulse voltage, November, 2008.

(4)The research of relay protection in power grid with distributed generation, May, 2013

Some detailed research work

(1) Development and application of the control platform of the distributed generation.

(2) Research on influence and strategy of the large power grid when connected to the micro grid.

(3) Research on the smart grid when connected to the micro grid from the photovoltaic power generation.

(4) The environmental and economic dispatch of the distributed generation.

Research Interests

(1) Relay protection of smart grid.

(2) Simulation and optimization of the distributed generation.

(3) Research on Photovoltaic Grid-Connected Power System.

(4) New protection algorithm for distribution network with DGs

(5) Research and Simulation of Bus Protection artificial neural network model

Some Publications

Book:

(1)Hongxia Zhan,Qiuhong Wang,Chaokun Xiong.Power System Relay Protection and New Technology, Posts &Telecom Press, 2011,09.

(2)Hongxia Zhan, Xia Lei, Yunmin Xing. Power System and Automation Experiment, ChongqingUniversity Press, 2008, 07.

(3)Hongxia Zhan, Siying Hou, Yonghong Tao, Visual C++6.0 Chinese Version Procedure Course, TsinghuaUniversity Press, 2007, 11.

Paper list:

(1)Hongxia Zhan, Qiuhong Wang, Yong Peng. Research ofalternating bus protection of grid-connected photovoltaic power generation system, Semiconductor optoelectronics, 2012,33(2)

Abstract: Based on the characteristics of Grid-connected technology of photovoltaic power generation system, the effect of grid-connected on relay protection of distribution network is analyzed. A new method for constructing ANN model of alternating bus protection of grid-connected photovoltaic power generation system by using function relationship of physical object is proposed. The malfunction problem of Alternating Bus protection of grid-connected photovoltaic power generation system can be solved by the proposed method.

(2)Hongxia Zhan, Jian Luo, Xia Lei. Research and simulation of bus protection with function approximation, Relay, 2006. ,34(16)

Abstract:For a long time, the application of ANN to relay protection is based on classification ability. Enough fault samples are crucial for the performance of the protection, but limited sample data can be actually available for the training of ANN model. In order to overcome the drawback, bus protection based on ANN model with function approximation ability is presented in this paper. Function approximation is one of the most important ability of ANN, a function object can be replaced by an ANN model with function approximation ability. Physical object of bus protection is a function with certain relation between inputs and outputs, which can be replaced by an ANN model, i.e. can be approximated by an ANN mathematical model. Based on the ANN model trained under normal bus operation conditions, the inner or outer fault can be distinguished successfully.

(3)Hongxia Zhan, Quan Yan.Application of multi-agent technology in power system, Journal of Chongqing University (Natural Science Edition), 2006,29(11)

Abstract: Modern power system is a complex, open and distributed system. Multi-agent is a new technology of distributed artificial intelligence. It is easy to make the distributed systems run well. The basic principles and the applicable scopes of Multi-agent are described in this paper. Especially the various applications of Multi-agent in power system are introduced, such as security-defense system, secondary voltage control, electricity markets, EMS and power plant. The further studying works of Multi-agent are schemed. The applications of the other fields in power system are described, the studying ways in control system, adaptive ability and intelligence, communications are pointed out and especially the foreground on wide control fields of power system.

(4)Hongxia Zhan, Xiucheng Dong. Discussion on relay protection based on artificial neural networks model, Sichuan Electric Power Technology, 2007,30(1)

Abstract：This article indicates the principle for ANN bus protection based on function approximation ability, analyzes the functional relation of bus-bar object and build the ANN model of bus-bar protection.

(5)Hongxia Zhan, Qiuhong Wang.The ANN Model of Bus-bar Protection,Journal of Chongqing Electric Power College,2006,11(3)

Abstract：This article indicates the principle for ANN bus protection based on function approximation ability,analyzes the functional relation of bus-bar object and build the ANN model of bus-bar protection.

(6)Hongxia Zhan.Research of Bus Protection Method Based on ANN, Journal of Xihua University (Natural Science Edition),2006,25(5)

Abstract：Enough fault samples are crucial for the performance of the bus protection based on classification ability, but limited sample data can be actually available for the training of model. In order to overcome the drawback, bus protection based on ANN model is presented in this paper. An ANN model can replace a function object with function approximation ability. Physical object of bus protection is a function with certain relation between inputs and outputs, which can be replaced by an ANN model and can be approximated by an ANN mathematical model. Based on the ANN model trained under normal bus operation conditions, the inner or outer fault can be distinguished successfully.