Abbas Rabiee

Dr. Abbas Rabiee

Electrical Engineering and Computer Engineering, Université Laval, Québec, Canada
orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2013 in Electric Power Systems Research
Verified
Journal Article
Closed access
Behnam Mohammadi-IvatlooBehnam Mohammadi-Ivatloo
Behnam Mohammadi-Ivatloo
MMMohammad Moradi-Dalvand
Mohammad Moradi-Dalvand
Abbas RabieeAbbas Rabiee
Abbas Rabiee


1 December 2012 in Electric Power Systems Research
Verified
Journal Article
Closed access
MMMohammad Moradi-Dalvand
Mohammad Moradi-Dalvand
Behnam Mohammadi-IvatlooBehnam Mohammadi-Ivatloo
Behnam Mohammadi-Ivatloo
Arsalan NajafiArsalan Najafi
Arsalan Najafi
Abbas RabieeAbbas Rabiee
Abbas Rabiee

1 November 2012 in International Journal of Electrical Power & Energy Systems
Verified
Journal Article
Closed access
Behnam Mohammadi-IvatlooBehnam Mohammadi-Ivatloo
Behnam Mohammadi-Ivatloo
Abbas RabieeAbbas Rabiee
Abbas Rabiee
ASAlireza Soroudi
Alireza Soroudi
MEM. Ehsan
M. Ehsan

21 April 2014 in IEEE Transactions on Power Systems
Verified
Journal Article
Closed access
Abbas RabieeAbbas Rabiee
Abbas Rabiee
ASAlireza Soroudi
Alireza Soroudi
Behnam Mohammadi-IvatlooBehnam Mohammadi-Ivatloo
Behnam Mohammadi-Ivatloo
MPMostafa Parniani
Mostafa Parniani
This paper proposes a new approach for corrective voltage control (CVC) of power systems in presence of uncertain wind power generation and demand values. The CVC framework deals with the condition that a power system encounters voltage instability as a result of severe contingencies. The uncertainty of wind power generation and demand values is handled using a scenario-based modeling approach. One of the features of the proposed methodology is to consider participation of demand-side resources as an effective control facility that reduces control costs. Active and reactive redispatch of generating units and involuntary load curtailment are employed along with the voluntary demand-side participation (demand response) as control facilities in the proposed CVC approach. The CVC is formulated as a multi-objective optimization problem. The objectives are ensuring a desired loading margin while minimizing the corresponding control cost. This problem is solved using ε-constraint method, and fuzzy satisfying approach is employed to select the best solution from the Pareto optimal set. The proposed control framework is implemented on the IEEE 118-bus system to demonstrate its applicability and effectiveness.

1 April 2017 in Electric Power Systems Research
Verified
Journal Article
Closed access
ASAlireza Soroudi
Alireza Soroudi
Abbas RabieeAbbas Rabiee
Abbas Rabiee
AKAndrew Keane
Andrew Keane