Jian Du
Jian Du has a total of 22 co-authors. Here are the top co-authors by number of shared publications:
- Chenguo Yao
School of Electrical Engineering, Chongqing University 1 , Chongqing 400044
2 shared publications - Chengxiang Li
State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing, China
2 shared publications Chongyou Xu
State Grid Ningbo Electric Power Supply Company, Ningbo, China
1 shared publication- Congli Li
College of Chemistry and Chemical Engineering, Taiyuan University of Technology, Taiyuan, China
1 shared publication Guangxian Lv
State Grid Shanghai Energy Interconnection Research Institute Co., LTD, Shanghai, China
1 shared publicationJianwen Tan
State Key Laboratory of Power Transmission Equipment & System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing 400030, China
1 shared publication
Latest Publications
- 1 September 2021
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 924-930
Kubeflow-based Automatic Data Processing Service for Data Center of State Grid Scenario
With the rapid development of machine learning and deep learning, more and more machine learning and deep learning have appeared in the power grid business. The data processing in the State Grid business is very complicated, the data processing is very cumbersome, and the reuse rate of the data processing code is also very low. In order to solve these problems, this paper proposes an efficient automated data processing service-EADP (Efficient Automated Data Processing). EADP service is built on Kubeflow. Kubeflow/Pipeline is Google’s open source workflow for building end-to-end services. Users can build the code as Pipeline/Component for use by Kubeflow/Pipeline. But Kubeflow's Component and Pipeline construction is extremely cumbersome and lacks management of Component and Pipeline. In order to solve these problems, EADP provides the function of automatically constructing Component and data processing DAG. There is a one-to-one correspondence between Component and Docker/Image. Docker/Image contains code blocks for data processing, which can be run after instantiation. The data processing flow can be constructed as a data processing DAG. The data processing DAG is composed of Component, and each node in the DAG corresponds to a Component. EADP uses a topological sorting algorithm to convert the data processing DAG into Kubeflow/Pipeline, thereby realizing automated data processing. On the surface of the experiment, EADP has high stability and convenience, which can greatly shorten the time-consuming data processing.
- 1 September 2021
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 924-930
Kubeflow-based Automatic Data Processing Service for Data Center of State Grid Scenario
With the rapid development of machine learning and deep learning, more and more machine learning and deep learning have appeared in the power grid business. The data processing in the State Grid business is very complicated, the data processing is very cumbersome, and the reuse rate of the data processing code is also very low. In order to solve these problems, this paper proposes an efficient automated data processing service-EADP (Efficient Automated Data Processing). EADP service is built on Kubeflow. Kubeflow/Pipeline is Google’s open source workflow for building end-to-end services. Users can build the code as Pipeline/Component for use by Kubeflow/Pipeline. But Kubeflow's Component and Pipeline construction is extremely cumbersome and lacks management of Component and Pipeline. In order to solve these problems, EADP provides the function of automatically constructing Component and data processing DAG. There is a one-to-one correspondence between Component and Docker/Image. Docker/Image contains code blocks for data processing, which can be run after instantiation. The data processing flow can be constructed as a data processing DAG. The data processing DAG is composed of Component, and each node in the DAG corresponds to a Component. EADP uses a topological sorting algorithm to convert the data processing DAG into Kubeflow/Pipeline, thereby realizing automated data processing. On the surface of the experiment, EADP has high stability and convenience, which can greatly shorten the time-consuming data processing.
- 7 April 2021
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 652-656
Boundary Equivalent Model of the Behind-The-Meter Distributed Energy Resource Based on Integration of DA and AMI
The distributed energy resources (DERs) in the distribution network include distributed generation, energy storage, electric vehicles, flexible loads, etc. Most of these DERs are located behind the meter and are not visible to the system operators. With the increased penetration of DERs, the system operators wish to take the behine-the-meter (BTM) DER into the distribution restoration scheme to enhance the resilience of the distribution network. This anticipation will be based on the correct equivalence of the BTM DER at the boundary of distribution automation. A method for modeling the BTM DER is proposed, to train the BTM DER model based on the Advanced Metering Infrastructure (AMI) meter readings with a generative adversarial network, and to modify the equivalent model based on Distribution Automation (DA) measurements. The wind and photovoltaic power profile from NREL integration data sets and the residential dataset from the reference energy disaggregation data set are used to demonstrate the performance of the proposed method.
- 7 April 2021
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 652-656
Boundary Equivalent Model of the Behind-The-Meter Distributed Energy Resource Based on Integration of DA and AMI
The distributed energy resources (DERs) in the distribution network include distributed generation, energy storage, electric vehicles, flexible loads, etc. Most of these DERs are located behind the meter and are not visible to the system operators. With the increased penetration of DERs, the system operators wish to take the behine-the-meter (BTM) DER into the distribution restoration scheme to enhance the resilience of the distribution network. This anticipation will be based on the correct equivalence of the BTM DER at the boundary of distribution automation. A method for modeling the BTM DER is proposed, to train the BTM DER model based on the Advanced Metering Infrastructure (AMI) meter readings with a generative adversarial network, and to modify the equivalent model based on Distribution Automation (DA) measurements. The wind and photovoltaic power profile from NREL integration data sets and the residential dataset from the reference energy disaggregation data set are used to demonstrate the performance of the proposed method.
- Open Access
- 23 April 2019
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 7, 62646-62656
Design and Experiments of Electromagnetic Heating Forming Technology
Electromagnetic forming (EMF) has been widely applied in industries. However, it’s still hard to form the thick or hard metal work pieces due to the limitation of its system power. And increasing the input voltage or capacitors may cause the problem of insulation, reduce the lifetime performance of devices, and lead to cost increase and safety issue. Therefore, this paper proposes a novel technology named electromagnetic heating forming (EMHF), which combines EMF with electromagnetic induction heating (EIH) based on their similar working principles to make it easier to form the thick or hard metal work pieces. EMHF can reduce the deformation resistance of work pieces by preheating treatment, and produce a small discharge energy to deform work pieces. A 5kV/1.68kJ/135lF EMHF system with a high-current pulse generator and a high-frequency heating source, which consists of an autonomous current-fed pushpull resonant inverter based on a zero voltage switching circuit and a resonant network, has been designed, built, and tested successfully. A finite element model coupling with electromagnetic field, solid mechanics field, thermal field and deformed geometry has also been built in COMSOL Multiphysics to analyze the EMHF process. Tube compression EMHF experiments of different input voltages, thicknesses and temperatures have been carried out. The experimental and simulation results demonstrate that EMHF can reduce the requirements of deformation process by preheating treatment, which can’t be done by EMF. Besides, the deformation can be controlled by the preheating temperature during the EMHF process. Therefore, EMHF has a great potential in industrial applications.
- 23 April 2019
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 7, 62646-62656
Open AccessDesign and Experiments of Electromagnetic Heating Forming Technology
Electromagnetic forming (EMF) has been widely applied in industries. However, it’s still hard to form the thick or hard metal work pieces due to the limitation of its system power. And increasing the input voltage or capacitors may cause the problem of insulation, reduce the lifetime performance of devices, and lead to cost increase and safety issue. Therefore, this paper proposes a novel technology named electromagnetic heating forming (EMHF), which combines EMF with electromagnetic induction heating (EIH) based on their similar working principles to make it easier to form the thick or hard metal work pieces. EMHF can reduce the deformation resistance of work pieces by preheating treatment, and produce a small discharge energy to deform work pieces. A 5kV/1.68kJ/135lF EMHF system with a high-current pulse generator and a high-frequency heating source, which consists of an autonomous current-fed pushpull resonant inverter based on a zero voltage switching circuit and a resonant network, has been designed, built, and tested successfully. A finite element model coupling with electromagnetic field, solid mechanics field, thermal field and deformed geometry has also been built in COMSOL Multiphysics to analyze the EMHF process. Tube compression EMHF experiments of different input voltages, thicknesses and temperatures have been carried out. The experimental and simulation results demonstrate that EMHF can reduce the requirements of deformation process by preheating treatment, which can’t be done by EMF. Besides, the deformation can be controlled by the preheating temperature during the EMHF process. Therefore, EMHF has a great potential in industrial applications.
- 17 July 2018
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Plasma Science
- Vol. 46 (8) , 2965-2971
Simulation Study of an Impulse Radiation Antenna Array
A picosecond-pulse electric field, matching ultra-wideband antenna, can be applied to biomedical noninvasive therapy. Its effect depends largely on the electric field intensity on the target. Because the amplitude enhancement of a picosecond-pulse source is restricted by many factors, ultra-wideband time-domain antenna research has become important. Here, the intensity of the electromagnetic radiation propagated by the antenna was greatly improved by arraying the antenna feed structure. For targeted focusing, an ellipsoidal reflective surface is commonly utilized, but this structure limits the formation feasibility of the feed structure. Here, the feed structure and the reflector were arrayed at the same time, while satisfying the time and spatial consistency of the electromagnetic waves at the target, the intensity of the electric field at the target was greatly improved, and the size of the focal spot was reduced simultaneously. A Gaussian pulse with a 1-V amplitude and a 200-ps width was used as the excitation source. Using this antenna array, a focal spot less than $1x1x1$ cm was formed at the target. Also, with the increased number of elements in the antenna array, the electric field intensity of the target increased. The relationship between the field intensity at the target and the number of combined antennas is discussed. The increased field strength eventually levels off, which is also consistent with the theory.- 17 July 2018
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Plasma Science
- Vol. 46 (8) , 2965-2971
Simulation Study of an Impulse Radiation Antenna Array
A picosecond-pulse electric field, matching ultra-wideband antenna, can be applied to biomedical noninvasive therapy. Its effect depends largely on the electric field intensity on the target. Because the amplitude enhancement of a picosecond-pulse source is restricted by many factors, ultra-wideband time-domain antenna research has become important. Here, the intensity of the electromagnetic radiation propagated by the antenna was greatly improved by arraying the antenna feed structure. For targeted focusing, an ellipsoidal reflective surface is commonly utilized, but this structure limits the formation feasibility of the feed structure. Here, the feed structure and the reflector were arrayed at the same time, while satisfying the time and spatial consistency of the electromagnetic waves at the target, the intensity of the electric field at the target was greatly improved, and the size of the focal spot was reduced simultaneously. A Gaussian pulse with a 1-V amplitude and a 200-ps width was used as the excitation source. Using this antenna array, a focal spot less than $1x1x1$ cm was formed at the target. Also, with the increased number of elements in the antenna array, the electric field intensity of the target increased. The relationship between the field intensity at the target and the number of combined antennas is discussed. The increased field strength eventually levels off, which is also consistent with the theory.