Electric Systems
Modeling & optimization of power systems and electromagnetic machines.
Our research in this area includes flexible and resilient power system design and operational optimization; modeling and analysis of electric machines for applications such as fault detection of motors, power efficiency improvement and design complexity reduction.
Quick Links
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Researchers
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Awards
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AWARD Best conference paper of IEEE PES-GM 2020 Date: June 18, 2020
Awarded to: Tong Huang, Hongbo Sun, K.J. Kim, Daniel Nikovski, Le Xie
MERL Contacts: Kyeong Jin (K.J.) Kim; Daniel Nikovski; Hongbo Sun
Research Areas: Data Analytics, Electric Systems, OptimizationBrief- A paper on A Holistic Framework for Parameter Coordination of Interconnected Microgrids Against Natural Disasters, written by Tong Huang, a former MERL intern from Texas A&M University, has been selected as one of the Best Conference Papers at the 2020 Power and Energy Society General Meeting (PES-GM). IEEE PES-GM is the flagship conference for the IEEE Power and Energy Society. The work was done in collaboration with Hongbo Sun, K. J. Kim, and Daniel Nikovski from MERL, and Tong's advisor, Prof. Le Xie from Texas A&M University.
See All Awards for MERL -
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News & Events
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EVENT MERL Virtual Open House 2020 Date & Time: Wednesday, December 9, 2020; 1:00-5:00PM EST
MERL Contacts: Elizabeth Phillips; Jeroen van Baar; Anthony Vetro
Location: Virtual
Research Areas: Applied Physics, Artificial Intelligence, Communications, Computational Sensing, Computer Vision, Control, Data Analytics, Dynamical Systems, Electric Systems, Electronic and Photonic Devices, Machine Learning, Multi-Physical Modeling, Optimization, Robotics, Signal Processing, Speech & AudioBrief- MERL will host a virtual open house on December 9, 2020. Live sessions will be held from 1-5pm EST, including an overview of recent activities by our research groups and a talk by Prof. Pierre Moulin of University of Illinois at Urbana-Champaign on adversarial machine learning. Registered attendees will also be able to browse our virtual booths at their convenience and connect with our research staff on engagement opportunities including internship, post-doc and research scientist openings, as well as visiting faculty positions.
Registration: https://mailchi.mp/merl/merl-virtual-open-house-2020
Schedule: https://www.merl.com/events/voh20
Current internship and employment openings:
https://www.merl.com/internship/openings
https://www.merl.com/employment/employment
Information about working at MERL:
https://www.merl.com/employment
- MERL will host a virtual open house on December 9, 2020. Live sessions will be held from 1-5pm EST, including an overview of recent activities by our research groups and a talk by Prof. Pierre Moulin of University of Illinois at Urbana-Champaign on adversarial machine learning. Registered attendees will also be able to browse our virtual booths at their convenience and connect with our research staff on engagement opportunities including internship, post-doc and research scientist openings, as well as visiting faculty positions.
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EVENT MERL 3rd Annual Open House Date & Time: Thursday, November 29, 2018; 4-6pm
MERL Contacts: Marissa Deegan; Elizabeth Phillips; Jeroen van Baar; Anthony Vetro
Location: 201 Broadway, 8th floor, Cambridge, MA
Research Areas: Applied Physics, Artificial Intelligence, Communications, Computational Sensing, Computer Vision, Control, Data Analytics, Dynamical Systems, Electric Systems, Electronic and Photonic Devices, Machine Learning, Multi-Physical Modeling, Optimization, Robotics, Signal Processing, Speech & AudioBrief- Snacks, demos, science: On Thursday 11/29, Mitsubishi Electric Research Labs (MERL) will host an open house for graduate+ students interested in internships, post-docs, and research scientist positions. The event will be held from 4-6pm and will feature demos & short presentations in our main areas of research including artificial intelligence, robotics, computer vision, speech processing, optimization, machine learning, data analytics, signal processing, communications, sensing, control and dynamical systems, as well as multi-physyical modeling and electronic devices. MERL is a high impact publication-oriented research lab with very extensive internship and university collaboration programs. Most internships lead to publication; many of our interns and staff have gone on to notable careers at MERL and in academia. Come mix with our researchers, see our state of the art technologies, and learn about our research opportunities. Dress code: casual, with resumes.
Pre-registration for the event is strongly encouraged:
merlopenhouse.eventbrite.com
Current internship and employment openings:
www.merl.com/internship/openings
www.merl.com/employment/employment
Information about working at MERL:
www.merl.com/employment.
- Snacks, demos, science: On Thursday 11/29, Mitsubishi Electric Research Labs (MERL) will host an open house for graduate+ students interested in internships, post-docs, and research scientist positions. The event will be held from 4-6pm and will feature demos & short presentations in our main areas of research including artificial intelligence, robotics, computer vision, speech processing, optimization, machine learning, data analytics, signal processing, communications, sensing, control and dynamical systems, as well as multi-physyical modeling and electronic devices. MERL is a high impact publication-oriented research lab with very extensive internship and university collaboration programs. Most internships lead to publication; many of our interns and staff have gone on to notable careers at MERL and in academia. Come mix with our researchers, see our state of the art technologies, and learn about our research opportunities. Dress code: casual, with resumes.
See All News & Events for Electric Systems -
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Internships
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MD1377: Adaptive Optimal Control of Electrical Machines
MERL is seeking a motivated and qualified individual to conduct research in control of electrical machines. The ideal candidate should have solid backgrounds in adaptive dynamic programming and state/parameter estimation for electrical machines, demonstrated capability to publish results in leading conferences/journals, and experience with real-time control experiments involving high power devices. Senior Ph.D. students are encouraged to apply. Start date for this internship is flexible and the duration is about 3 months.
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MD1381: Electric Motor Design
MERL is seeking a motivated and qualified individual to conduct research in design, modeling, and simulation of electrical machines. The ideal candidate should have solid backgrounds in modeling (including model reduction)/co-simulation of electromagnetics and thermal dynamics of electrical machines, and demonstrated capability to publish results in leading conferences/journals. Experience with ANSYS, COMSOL, and real-time control experiments involving motor drives is a strong plus. Senior Ph.D. students in electrical or mechanical engineering are encouraged to apply. Start date for this internship is flexible and the duration is about 3-6 months.
See All Internships for Electric Systems -
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Recent Publications
- , "Improving Passenger Comfort by Exploiting Hub Motors in Electric Vehicles: Suspension Modeling", ASME Dynamic Systems and Control Conference (DSCC), DOI: 10.1115/DSCC2020-3167, January 2021.BibTeX TR2021-019 PDF
- @inproceedings{Chen2021jan,
- author = {Chen, Di and Danielson, Claus and Masahiro, Iezawa},
- title = {Improving Passenger Comfort by Exploiting Hub Motors in Electric Vehicles: Suspension Modeling},
- booktitle = {ASME Dynamic Systems and Control Conference (DSCC)},
- year = 2021,
- month = jan,
- doi = {10.1115/DSCC2020-3167},
- url = {https://www.merl.com/publications/TR2021-019}
- }
- , "Semi-Supervised Bearing Fault Diagnosis and Classification using Variational Autoencoder-Based Deep Generative Models", IEEE Sensors Journal, DOI: 10.1109/JSEN.2020.3040696, Vol. 21, No. 5, pp. 6476-6486, January 2021.BibTeX TR2021-002 PDF
- @article{Zhang2021jan,
- author = {Zhang, Shen and Ye, Fei and Wang, Bingnan and Habetler, Thomas G},
- title = {Semi-Supervised Bearing Fault Diagnosis and Classification using Variational Autoencoder-Based Deep Generative Models},
- journal = {IEEE Sensors Journal},
- year = 2021,
- volume = 21,
- number = 5,
- pages = {6476--6486},
- month = jan,
- doi = {10.1109/JSEN.2020.3040696},
- url = {https://www.merl.com/publications/TR2021-002}
- }
- , "CVaR-constrained Stochastic Bidding Strategy for a Virtual Power Plant with Mobile Energy Storages", IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), DOI: 10.1109/ISGT-Europe47291.2020.9248799, November 2020, pp. 1171-1175.BibTeX TR2020-142 PDF
- @inproceedings{Xiao2020nov,
- author = {Xiao, Dongliang and Sun, Hongbo and Nikovski, Daniel N. and Shoichi, Kitamura and Mori, Kazuyuki and Hashimoto, Hiroyuki},
- title = {CVaR-constrained Stochastic Bidding Strategy for a Virtual Power Plant with Mobile Energy Storages},
- booktitle = {IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)},
- year = 2020,
- pages = {1171--1175},
- month = nov,
- doi = {10.1109/ISGT-Europe47291.2020.9248799},
- url = {https://www.merl.com/publications/TR2020-142}
- }
- , "Few-Shot Bearing Anomaly Detection via Model-Agnostic Meta-Learning", International Conference on Electrical Machines and Systems (ICEMS), DOI: 10.23919/ICEMS50442.2020.9291099, November 2020, pp. 1341-1346.BibTeX TR2020-151 PDF
- @inproceedings{Zhang2020nov2,
- author = {Zhang, Shen and Ye, Fei and Wang, Bingnan and Habetler, Thomas G},
- title = {Few-Shot Bearing Anomaly Detection via Model-Agnostic Meta-Learning},
- booktitle = {2020 23rd International Conference on Electrical Machines and Systems (ICEMS)},
- year = 2020,
- pages = {1341--1346},
- month = nov,
- doi = {10.23919/ICEMS50442.2020.9291099},
- url = {https://www.merl.com/publications/TR2020-151}
- }
- , "Illegitimate Trade Detection for Electricity Energy Markets", International Conference on Smart Grids and Energy Systems (SGES), DOI: doi: 10.110910.1109/SGES51519.2020.00066, November 2020.BibTeX TR2020-147 PDF
- @inproceedings{Sun2020nov,
- author = {Sun, Hongbo and Shoichi, Kitamura and Nikovski, Daniel N. and Mori, Kazuyuki and Hashimoto, Hiroyuki},
- title = {Illegitimate Trade Detection for Electricity Energy Markets},
- booktitle = {International Conference on Smart Grids and Energy Systems (SGES)},
- year = 2020,
- month = nov,
- doi = {doi: 10.110910.1109/SGES51519.2020.00066},
- url = {https://www.merl.com/publications/TR2020-147}
- }
- , "A Holistic Framework for Parameter Coordination of Interconnected Microgrids against Disasters", IEEE Power & Energy Society General Meeting (PES), DOI: 10.1109/PESGM41954.2020.9281628, June 2020.BibTeX TR2020-082 PDF
- @inproceedings{Huang2020jun,
- author = {Huang, Tong and Sun, Hongbo and Kim, Kyeong Jin and Nikovski, Daniel N. and Xie, Le},
- title = {A Holistic Framework for Parameter Coordination of Interconnected Microgrids against Disasters},
- booktitle = {IEEE Power & Energy Society General Meeting (PES)},
- year = 2020,
- month = jun,
- publisher = {IEEE},
- doi = {10.1109/PESGM41954.2020.9281628},
- url = {https://www.merl.com/publications/TR2020-082}
- }
- , "Nonlinear Double-Capacitor Model for Rechargeable Batteries: Modeling, Identification and Validation", IEEE Transactions on Control Systems Technology, DOI: 10.1109/TCST.2020.2976036, pp. 1-15, April 2020.BibTeX TR2020-035 PDF
- @article{Tian2020apr,
- author = {Tian, Ning and Fang, Huazhen and Chen, Jian and Wang, Yebin},
- title = {Nonlinear Double-Capacitor Model for Rechargeable Batteries: Modeling, Identification and Validation},
- journal = {IEEE Transactions on Control Systems Technology},
- year = 2020,
- pages = {1--15},
- month = apr,
- doi = {10.1109/TCST.2020.2976036},
- url = {https://www.merl.com/publications/TR2020-035}
- }
- , "Distributed Average Consensus Algorithm for Damage Assessment of Power Distribution system", IEEE PES Innovative Smart Grid Technologies Conference (ISGT), DOI: 10.1109/ISGT45199.2020.9087643, February 2020.BibTeX TR2020-013 PDF
- @inproceedings{Poudel2020feb,
- author = {Poudel, Shiva and Sun, Hongbo and Nikovski, Daniel N. and Zhang, Jinyun},
- title = {Distributed Average Consensus Algorithm for Damage Assessment of Power Distribution system},
- booktitle = {IEEE PES Innovative Smart Grid Technologies Conference (ISGT)},
- year = 2020,
- month = feb,
- doi = {10.1109/ISGT45199.2020.9087643},
- issn = {2472-8152},
- isbn = {978-1-7281-3103-0},
- url = {https://www.merl.com/publications/TR2020-013}
- }
- , "Improving Passenger Comfort by Exploiting Hub Motors in Electric Vehicles: Suspension Modeling", ASME Dynamic Systems and Control Conference (DSCC), DOI: 10.1115/DSCC2020-3167, January 2021.
