If you want to raise your research level, satisfy your curiosity and realise your research dreams,then come and join the Renewable Energy Power Generation and Digital Energy Network Research Group~
Group Profile
Faculty Team
Group LeaderZhao Haoran (Chief Scientist of the National Science and Technology Major Project / Changjiang Distinguished Professor of the Ministry of Education), and he is currentlyVice Dean of the School of Electrical Engineering, Shandong University.
The team is advised byProfessor at Newcastle University /IEEE Fellow Vladmir Terzjia, Professor at TU Berlin /IEEE Fellow Kai Strunzas advisors. The group now has 2 faculty members, 2 postdoctoral researchers, more than 20 doctoral and master's students, 6 full-time software/hardware engineers and 3 finance/research assistants. Integrating the traditional disciplines of electrical engineering, control and energy & power, the group studies the physical operation laws of electricity, heat and gas systems and achieves whole-chain optimisation and decarbonisation from source to grid to load to storage, with a number of original achievements and internationally leading performance indicators.
Research Directions
The group's research integrates the traditional disciplines of electrical engineering, mechanics, control and energy & power, focusing ondigital twin and grid-connection stability analysis of renewable energy, modelling and simulation of renewable power systems, and low-carbon optimal dispatch of integrated energyas its three main directions.
Digital Twin and Grid-Connection Stability Analysis of Renewable EnergyTo address the complex and variable operating states of renewable energy stations and the difficulty of assessing the stability of power systems with a high share of renewable energy in real time, the group studies digital twin technology for renewable energy stations that integrates high-precision models, real-time operating data and multi-agent AI algorithms, and develops methods for fully dynamic refined impedance modelling, online identification of low-frequency/wideband oscillation and real-time assessment of stability margins, enabling real-time perception, dynamic deduction and online early warning of instability risks for renewable energy stations, providing support for the safe and stable operation of large-scale renewable energy.
Modelling and Simulation of Renewable Power SystemsTo address the extremely slow simulation of renewable power systems with large-scale power electronic devices connected, the group studies parallelised electromagnetic transient simulation technology with strong numerical stability and high numerical accuracy, and builds a station-level real-time simulation platform based on CPU/GPU/FPGA heterogeneous computing, achieving accurate and fast simulation of large-scale renewable energy stations.
Low-Carbon Optimal Dispatch of Integrated EnergyTargeting the low-carbon and efficient operation of integrated electricity-gas-heat energy systems, the group studies spatio-temporal dynamic modelling of energy and carbon flows, low-carbon coordinated optimal operation and real-time simulation technology, and develops an integrated energy low-carbon optimal operation toolbox and a digital twin simulation platform, making the operation of integrated energy systems clearly visible, carbon emissions accurately calculated and decisions well optimised.
The group eagerly looks forward to guidance from experts and warmly welcomes young talents devoted to new-type power system research to join us!
Outstanding Laboratory Facilities and Strong Research Environment
Renewable Energy Refined Simulation and Grid-Connection Testing Laboratory
Focusing on the frontier needs of the power system field, the group has builtRenewable Energy Refined Simulation and Grid-Connection Testing Laboratoryand constructedfive major systems and four major platforms:
Wind Farm Refined Real-Time Simulation System
Integrated Energy Digital Management and Control System
Wind Farm Energy Management System
Wind Farm Digital Twin System
Wind Farm Power Forecasting System, etc.
These cover key stages from simulation modelling and system testing to real-time monitoring, providing comprehensive support for students' research in power systems, wind power and integrated energy.
Overall Laboratory Environment
Equipment Layout Plan
In addition, the group actively promotes cooperation with domestic and international universities and research institutions, continuously enhancing the international perspective and interdisciplinary influence of its research. Several academicians and domain experts have visited the laboratory for exchange and highly praised its research achievements and innovation capability.
Academicians Visiting the Laboratory
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The group regularly organises laboratory visits and seminars for new students, giving them a close-up introduction to the experimental environment and various research facilities.
New Student Seminar and Laboratory Tour
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Creative Workshop
Besides power industry equipment,
the laboratory also keeps pace with the frontier of intelligent equipment,adding this yearquadruped robot dogs and multi-rotor dronesand othercutting-edge intelligent devices
opening up an interdisciplinary research track for multi-device cooperative control
stepping outside the traditional power research framework
to provide students with a platform for free exploration and independent development
Here, imagination becomes verifiable creation
Office 325
The group equips new students withhigh-performance desktop computers, dual-screen monitors and ergonomic chairsand other research equipment, providing ample research consumables, high-speed network and high-performance computing support to fully meet research needs.
Overall Office Environment
In addition to the scholarships provided by the university and the school, the group has established additionalgenerous research assistantships, with standards significantly higher than the industry average,helping students focus on research without worries.
Outstanding Innovation Achievements across Four Categories
Publications
The group has publishedmore than 200 academic papers in top SCI/EI journals such as IEEE Trans and Applied Energy;Allsupervisors in the group areeditorial board members of top journals, providing full guidance throughout submission and greatly improving the success rate.
The group has won best paper awards at many domestic and international EI conferences, coveringthe globe (Shenyang, Kunming, Xi'an, Singapore, etc.).
International Exchange
International Conferences
Fully FundedGraduate students attend domestic and international academic conferences, and are encouraged to apply for joint training and overseas study programmes.
Patents
The group has filedmore than 100, invention patents, withmore than 50;
Fully Fundedgranted. Patent and software copyrightapplication fees for intellectual property arecovered to support the transformation of graduate students' intellectual achievements.
Competition Achievements
The group encourages and organises students to take part in various research competitions,with 7 national-level awards and 4 provincial/ministerial awards in total,and award-winning experience in national-level competitions such as the "Internet+" and "Challenge Cup"competitions.
With guidance from professional and laboratory teachers and unrestricted use of laboratory resources,Fully Fundedinnovation and competition results are transformed into practical outcomes.
Excellent Training System with Wide-Reaching Talent Impact |
Nearly twenty graduates of the group have gone on toNanjing, Qingdao and Suzhouand other places,working at provincial and municipal power supply companies, top industry enterprises, and universities and research institutes,with excellent career prospects.
Destinations of Group Graduates
Colourful Activities and a Vibrant Team Atmosphere |
The group values cohesion and vitality, regularly organising a rich variety of team-building and recreational activities: live-action CS, hiking, dinners, trips, house parties, barbecues - you name it.
We believe a good team atmosphere is the foundation of efficient research, and pleasant interaction also inspires the collision of innovative ideas.
Team Building
House Parties and Board Games
Food Feasts
Japanese cuisine, barbecue...
Sports and Culture - Cheerleading Competitions and Chess
Travel Time - Qingdao, Qianfoshan and Jiuru Mountain
Recruitment Requirements
The group hopes you will have the following basic qualities and jointly advance the development of the group:
1
Excellent learning ability, a serious and responsible attitude, and proactive communication.
2
A strong interest inself-directed learning of wind power / integrated energy, software design / hardware development and research exploration.
3
Possessingsolid programming experience, including but not limited to Matlab/Simulink, Python and embedded development.
JOIN US
The Renewable Energy Power Generation and Digital Energy Network Research Group looks forward to a long journey with you
See you there!
Welcome to join us!
Contact Information
Zhao Haoran | hzhao@sdu.edu.cn |
Zhang Shuqi | szhang@sdu.edu.cn |
Edited by: | Gou Enqi, Zheng Qiongna |
Reviewed by: | Zhang Shuqi |
Group Website |
www.zhaohaoran.top
WeChat Official Account |
Renewable Energy Power Generation and Digital Energy Network Research Group