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Navid Rezaei

Navid Rezaei

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 9870
HIndex:
Faculty: Faculty of Engineering
Address: Basdaran Bolvar, Kuridstan University, Faculty of Engineering, Electrical Engineering Department, Room 206
Phone: 087-33660073

Research

Title
Economic–environmental hierarchical frequency management of a droop-controlled islanded microgrid
Type
JournalPaper
Keywords
Microgrid energy management system; Frequency control; Droop method; Reserve scheduling; Hierarchical control
Year
2014
Journal ENERGY CONVERSION AND MANAGEMENT
DOI
Researchers Navid Rezaei ، Mohsen Kalantar

Abstract

This paper presents a novel energy management system (EMS) for a microgrid to enhance the power system security in a cost-effective manner. Small size of the islanded microgrids, high levels of intermittency and energy fluctuations, lower inertia potential of inverter-interfaced distributed energy resources (DERs) makes the frequency a vital factor in the microgrid energy management system that should be managed subject to the economic–environmental policies of the microgrid EMS. The proposed model is based on precise energy and reserve scheduling of the DERs in a droop-controlled islanded microgrid to manage the possible microgrid frequency excursions. The expected value of the microgrid frequency excursions stem from system power deviations is employed as a new objective function in this study, which is aimed to be minimized using a two stage stochastic mixed-integer linear programming method. In order to model the hierarchical control structure of the islanded microgrid, the frequency dependent behavior of the droop-controlled inverter-interfaced DERs is formulated thoroughly. The proposed model is applied to a typical microgrid test system. The primary and secondary frequency control reserves are appropriately scheduled over a 24 h period. A methodology based on the Monte-Carlo simulation strategy is adapted to generate some random scenarios corresponding to renewable generation variations, load consumption deviations and contingencies of line/unit outages. The generated scenarios are reduced and applied to the optimization approach. Moreover, using the proposed hierarchical control structure, the microgrid frequency excursions are managed aptly in predefined acceptable ranges by readjusting the reference power set-points of dispatchable DERs. Numerical results and detailed analyses effectively verify the great importance of the frequency control modeling in the energy and reserve management problem of the microgrids.