- Date & Time: Wednesday, November 20, 2024; 1:00 PM
Speaker: Di Shi, New Mexico State University
MERL Host: Hongbo Sun
Research Areas: Artificial Intelligence, Data Analytics, Optimization
Abstract 
This presentation delves into the challenges and advancements in optimizing power system operations through Grid Mind, an innovative, data-driven framework designed to enhance the integration of renewable energy sources. Utilizing advanced learning algorithms, Grid Mind excels in strategic resource allocation and control, significantly improving efficiency and reliability in power systems with high renewable energy penetration. The transformative potential of this AI-assisted technology is highlighted through real-world applications, demonstrating its effectiveness in addressing the complexities of modern power systems. In addition, critical safety considerations and practical deployment challenges are explored, emphasizing the need for robust, secure, and adaptable solutions. This talk also discusses the capabilities of Grid Mind as a distributed, learning-based system optimized for edge devices, marking a significant advancement toward sustainable, safe, and efficient power system operations in an era dominated by renewable energy.
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- Date: June 18, 2020
Awarded to: Tong Huang, Hongbo Sun, K.J. Kim, Daniel Nikovski, Le Xie
MERL Contacts: Daniel N. Nikovski; Hongbo Sun
Research Areas: Data Analytics, Electric Systems, Optimization
Brief - 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.
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- Date: May 22, 2019
Awarded to: Siriramya Bhamidipati, Kyeong Jin Kim, Hongbo Sun, Philip Orlik
MERL Contacts: Hongbo Sun; Philip V. Orlik
Research Areas: Artificial Intelligence, Communications, Machine Learning, Signal Processing, Information Security
Brief - MERL researchers, Kyeong Jin Kim, Hongbo Sun, Philip Orlik, along with lead author and former MERL intern Siriramya Bhamidipati were awarded the Smart Grid Symposium Best Paper Award at this year's International Conference on Communications (ICC) held in Shanghai, China. There paper titled "GPS Spoofing Detection and Mitigation in PMUs Using Distributed Multiple Directional Antennas," described a technique to rapidly detect and mitigate GPS timing attacks/errors via hardware (antennas) and signal processing (Kalman Filtering).
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- Date: February 13, 2014
MERL Contacts: Hongbo Sun; Daniel N. Nikovski
Research Area: Data Analytics
Brief - Mitsubishi Electric Corporation announced that it has developed energy loss-reduction technology that uses algorithms for fast analysis of three-phase electricity developed by MERL to establish optimal coordination of power-distribution grids for reductions in energy loss and power-generation costs. The technology was achieved under Mitsubishi Electric's Smart Grid Demonstration Project.
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- Date: July 19, 2013
Where: International Conference on Machine Learning and Data Mining in Pattern Recognion (MLDM)
MERL Contacts: Hongbo Sun; Daniel N. Nikovski
Research Area: Data Analytics
Brief - The paper "Smart Meter Data Analysis for Power Theft Detection" by Nikovski, D., Wang, Z., Esenther, A., Sun, H., Sugiura, K., Muso, T. and Tsuru, K. was presented at the International Conference on Machine Learning and Data Mining in Pattern Recognion (MLDM).
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- Date: March 25, 2013
Where: National Convention of the Information Processing Society of Japan (IPSJ)
MERL Contacts: Hongbo Sun; Daniel N. Nikovski
Research Area: Data Analytics
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- Date: October 30, 2012
Where: IEEE International Conference on Power System Technology (POWERCON)
MERL Contacts: Hongbo Sun; Daniel N. Nikovski
Research Area: Data Analytics
Brief - The paper "Decoupled Three-Phase Load Flow Method for Unbalanced Distribution Systems" by Sun, H., Dubey, A., Nikovski, D., Ohno, T., Takano, T. and Kojima, Y. was presented at the IEEE International Conference on Power System Technology (POWERCON).
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- Date: October 14, 2012
Where: IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)
MERL Contacts: Hongbo Sun; Daniel N. Nikovski
Research Area: Data Analytics
Brief - The paper "Hybrid Three-Phase Load Flow Method for Ungrounded Distribution Systems" by Sun, H., Nikovski, D., Ohno, T., Takano, T. and Kojima, Y. was presented at IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe).
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- Date: May 21, 2012
Where: IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)
MERL Contacts: Hongbo Sun; Daniel N. Nikovski
Research Area: Data Analytics
Brief - The paper "Two-Level State Estimation Method for Power Systems with SCADA and PMU Measurements" by Sun, H., Wang, Z. and Nikovski, D. was presented at IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia).
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- Date: March 1, 2012
Where: Journal of Electronic Science and Technology (JEST)
MERL Contacts: Hongbo Sun; Daniel N. Nikovski
Research Area: Data Analytics
Brief - The article "A Hybrid Decoupled Power Flow Method for Balanced Power Distribution Systems" by Sun, H., Nikovski, D., Ohno, T., Takano, T. and Kojima, Y. was published in Journal of Electronic Science and Technology (JEST).
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- Date: September 27, 2011
Where: IEEE International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)
MERL Contacts: Hongbo Sun; Daniel N. Nikovski
Research Area: Data Analytics
Brief - The paper "A Fast and Robust Load Flow Method for Distribution Systems with Distributed Generations" by Sun, H., Nikovski, D., Ohno, T., Takano, T. and Kojima, Y. was presented at the IEEE International Conference on Smart Grid and Clean Energy Technologies (ICSGCE).
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