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Mohammad Fathi

Mohammad Fathi

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 56694062400
Faculty: Faculty of Engineering
Address: Department of Electrical Engineering
Phone:

Research

Title
Adaptive Price-Based Power Flow in Next Generation Electric Power Systems
Type
Presentation
Keywords
Adaptive algorithm, Price-Based Power Flow,Power Systems
Year
2012
Researchers Mohammad Fathi ، Hassan Bevrani

Abstract

Demand load management in the context of gridconnected microgrids is the scope of this paper. This issue is formulated as a power flow problem between distributed power sources with the objective of grid operational cost minimization. Under the assumption of time-varying demand loads at individual microgrids, a distributed algorithm of interactions among microgrids is proposed for power sharing within the grid. Numerical results demonstrate the outperformance of the proposed load management scheme in comparison with no power sharing scheme in terms of the grid operational cost.