Optimal Investment, Planning and Control of Distributed Microgrids under Uncertainties

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Technical discsussion on the planning and control of micro-grids.

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  • Newark, New Jersey
  • United States
  • Building: NJIT
  • Room Number: Faculty Memorial Hall FMH 305
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  • Starts 28 March 2012 12:00 PM UTC
  • Ends 04 April 2012 10:55 PM UTC
  • No Admission Charge

  Speakers

Dr. Mohsen A. Jafari, Professor

Topic:

Optimal Investment, Planning and Control of Distributed Microgrids under Uncertainties

Technical discsussion on the planning and control of micro-grids.

Biography: Dr. Mohsen A. Jafari is a full professor of Industrial & Systems Engineering at Rutgers University. He has been with Rutgers U. since 1988. He received his Ph.D. in Systems Engineering and Operation Research and M.S. in Computer Science from Syracuse University. His research areas of interest are in systems optimization & control, intelligent distributed systems, simulations, and data modeling in transportation, energy, manufacturing and healthcare. He has directed or co-directed funding from various government agencies such as the NSF, DOE, ONR, DoD/DLA, FHWA, US/NJ Department of Transportation, NJ Dept. of Health and Senior Services. He has also been consultant to several fortune 500 companies as well as local and state government agencies. He has published over seventy refereed articles and has made many invited and contributed presentations nationally and internationally. He has been thesis advisor to 18 Ph.D. students, 9 MS students and 6 postdoctoral fellows.

Dr. Mohsen A. Jafari, Professor

Topic:

Optimal Investment, Planning and Control of Distributed Microgrids under Uncertainties

Biography:


Dr. Mohsen A. Jafari, Professor

Topic:

Optimal Investment, Planning and Control of Distributed Microgrids under Uncertainties

Biography:




Agenda

Abstract: In this talk we will present our recent results on the optimal planning and control of distributed micro-grids. A micro-grid is characterized by its generation sources (renewables and non-renewables), storage capacity, its internal demand and sell back to grid. A micro-grid is a dual purpose node in the power supply chain in such a way that it is capable of generating its own power, purchasing from the grid and selling back to the power distribution network. The stochasticity of renewable generation and demand make day-ahead planning and the same day control of microgrids quite challenging problems. From the power grid point of view, microgrids are resource nodes which can manage demand response, shed loads, and reduce grid's risks by selling to grid at peak times. University campuses and emerging advanced sustainable communities are examples of micro-grids. Our planning and optimal control framework is hierarchical so that (i) It internally attempts to manage day-ahead planning and the same day control in lieu of risks, market volatility, renewable variability, and demand fluctuations; (ii) It optimizes market interactions with the objective of managing its own risks and reducing grid risks at peak times; (iii) It characterizes microgrids parametrically and uses these in a modularized investment strategy.