DES lecture scheduled for May 23 is CANCELLED and will be rescheduled at a later date.

Microgrid Energy Flow Management with a Self-organizing Monitoring and Control System

May 23, 2023  |  12:00–12:50 pm PST  |  MAE Auditorium, Bldg #255  — Campus Map

Dr. Michael Gouzman

University Instructional Specialist
Department of Electrical and Computer Engineering
State University of NY (SUNY) at Stony Brook


Modern Microgrids that are dynamic in nature need to be monitored in real time to be able to identify and diagnose issues that may occur in the grid. The direction of power flow in the power lines may change frequently in response to events or due to optimizations in the grid. Therefore, identifying the current topology of the microgrid is important. A Network Topology Identification Algorithm that uses data from an Energy Flow Sensor will be discussed in detail as well as the design and algorithm for optimal use of the Sensor. The simplest example of using the proposed algorithm using data from the Energy Flow Sensor will be given.


Dr. Michael Gouzman graduated in 1978 with honors in Telecommunication Engineering from Moscow Technical University of Communications and Informatics and in 1990 received his PhD degree from Tver State Technical University. Since 1996 he has worked as Instructional Specialist and Adjunct Professor in the Department of Electrical and Computer Engineering at the State University of NY (SUNY) at Stony Brook and is the director of the MGMS (Micro-Grid Monitoring Systems) Laboratory. He is a founder and co-founder of several startup companies on Long Island and has authored more than 20 patents and over 50 articles. Over the last 12 years he has designed new types of sensors, actuators and communication systems for electrical grids and their application in industry.

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