Research Institute of Relay Protection
Li Huimin
Release time: April 24, 2023 09:04    Author:    点击:[]

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Research Institute of Relay Protection

Academic identity

Special professor of Shandong University,Doctoral supervisor,Special experts of national key talent engineering programs,A special expert in the Haizhi Plan of the China Association of Science and Technology

Work experience

2022.9 to this day, Shandong University specially appointed professor

2018.2-2021.1  Part -time professor at Shandong University

2017-2021  A special professor of Shandong University of Technology1

2010.5 Chairman of Shandong Net Cong Information Technology Co., Ltd.

2009.2-2010.4  Camiant (Nanjing)  General Manager

2008.4-2009.2 EMC Corporation  Director engineer

2006.10-2008.4 Bigband (shenzhen)  General Manager

2000.8-2006.9  BigBand Networks   Director engineer, Asia Pacific Technology Director

1998.12-2000.7 Lucent Bell Labs   Researcher

1996.9-1998.12 Canada Northern Telecom Nortel  Researcher

1992.1-1995.5   Dr. Strathclyde, UK

1987-1991  Ph.D.

Personal information

Name

Li Huimin

Gender

Male

Date of birth

1963.10

Origin

Henan Pingdingshan

Title

Professor

Job

A special expert 

email

huiminl@gridnt.com


Research direction

Research on the new digital power system,Including artificial intelligence -based new energy power grid control optimization,Artificial intelligence detection of power equipment,Virtual power plants and cloud storage energy,Intelligent substation technology,Electric power system information model。

Academic works

Thesis

[1] Bilevel Optimal Dispatch Strategy for A Multi-Ericy System of Industrial Parks by Considering Integrated Demand Response,Energies 2018, 11(8), 1942

[2] Non -invasive load monitoring based on convolutional neural networks "Electricity Testing and Instrument" Volume 59 Phase 1,148

[3] A Deep Recurrent Neural Network for Non-Intrusive Load Monitoring Based on Multi-Feature Input Sput and Post-Processing, Energies, 2020,

13, 2195;

4] Generalizability IMPROVEMENT of Deep Learning-Based Non-Intrusive System Use Data Augmentation,IEEE Transactions on Smart Grid,42020,5

Invention patent

[1] A highly available seamless redundant ring network repeated frame discard method and system,CN111277480A,2021

[2] ring network intelligent communication device and its configuration method,CN109194512B,2021

[3] An expression method of the information interaction process of smart electronic devices in the substation,CN108234237A,2019

[4] A light iligB and FT3 code intelligent detection and receiving methods and devices,CN105743585B,2018

undertaking scientific research projects

1. Ministry of Industry and Information TechnologyConstruction of the head of the public service platform project for the development of regional artificial intelligence applications

2. Hosting the country“863”Project sub -project: Smart Grid Advanced Analysis and Optimized Operation Key Technology (2012aa050213

3.A National Small and Medium Enterprise Development Innovation Fund for the Ministry of Science and Technology: The Intelligent Transformer Digital Simulation and Information Treatment Integrated System

4. National Grid Science and Technology Guide Project Name: Intelligent Transformation Station Simulation Debugging and Analysis Integrated Technology Research

Academic Type

Academic and professional graduate students

Master of the Research Research Integrity of Research Groups all year round、Doctoral graduate students and postdoctoral,Interested parties can call or email (please attach your resume),Cancer in participating in industry -university -research cooperation,I have opportunities to participate in international exchanges。I sincerely look forward to your joining!

Studies mainly engaged in new digital power systems,The topic includes new energy power grid control optimization of artificial intelligence,Artificial intelligence detection of power equipment,Virtual power plants and cloud storage energy,Intelligent substation and power system information model。Students have rich exercise and practice opportunities,Getting how to use information software and intelligent technology to solve the scientific and engineering issues in the new power system marked by a large number of new energy access。Welcome outstanding students to join!



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