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Mostafa Vahedipour dahraie

Mostafa Vahedipour dahraie

Associate Professor

Full-Time Faculty Member

Faculty: Ferdows Technical College

Department: Electrical Engineering-Power

Degree: Doctoral

Birth Year: 1982

CV
FA
Mostafa Vahedipour dahraie

Associate Professor Mostafa Vahedipour dahraie

Full-Time Faculty Member
Faculty: Ferdows Technical College - Department: Electrical Engineering-Power Degree: Doctoral | Birth Year: 1982 |

Dr. Mostafa Vahedipour received his Ph.D. in Electrical Engineering from the University of Birjand in 2017. His doctoral research focused on demand management in smart microgrids with an emphasis on ensuring system security. During this period, he was awarded a prestigious scholarship from the Iranian Ministry of Science, Research and Technology, which enabled him to conduct research as a visiting researcher at Aalborg University, Denmark, from 2016 to 2017.

After completing his Ph.D., Dr. Vahedipour continued his academic career as an Assistant Professor at the University of Birjand, where he played an active role not only in research but also in educating and training future generations of engineers. In 2020, he was awarded an international research fellowship at the University of Salerno, Italy, where he focused his research on energy management in smart grids. This collaboration expanded his research expertise and led to stronger interactions with the University of Vaasa, Finland where he was a post doc researcher.

Currently, Dr. Vahedipour is an Associate Professor in the Department of Electrical Engineering at the University of Birjand, Ferdows Faculty of Engineering. ALso, now, he is working as a team leader at Nowocert, research and Innovation Division, Dublin, Ireland. 

In parallel, he serves as a member of the Board of Directors of Saha Niroo Savis Company, a technology-based company operating in the field of energy management in Iran. His dual roles in academia and industry have enabled him to bridge the gap between research and practical solutions in energy management.

My affiliation

Department of Electrical and Computer Engineering, University of Birjand, Birjand, Iran

Nowocert, research and Innovation Division, Dublin, Ireland. 

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Optimal scheduling of distributed energy resources and responsive loads in islanded microgrids considering voltage and frequency security constraints

AuthorsMostafa Vahedipour-Dahraie,Anvari-Moghaddam Amjad,Guerrero Josep M.,Hamidreza Najafi
JournalJournal of Renewable and Sustainable Energy
Page number25903-25903
Serial number10
Volume number25
IF1.135
Paper TypeFull Paper
Published At2018
Journal GradeISI
Journal TypeTypographic
Journal CountryIran, Islamic Republic Of
Journal IndexJCR،Scopus

Abstract

Low inertia of distributed energy resources (DERs), high penetration levels of renewable energy sources (RESs), and load demand variations put the islanded microgrids’ (MGs) security at the risk of instability. This paper proposes a twostage stochastic model for coordination of DERs and responsive loads in islanded MGs with regard to voltage and frequency security constraints. Based on the proposed model, scheduling of the controllable units in both supply and demand sides is done in a way not only to maximize the expected profit of the MG operator (MGO) but also to minimize the energy payments of customers under the premise of security and stability of MG. An AC optimal power flow procedure is also used to study the operating condition of the system under uncertainties and to guarantee acceptable nodal voltages and system frequency under different scenarios. The proposed stochastic optimization model is then applied to a typical autonomous MG, and its effectiveness is demonstrated through different scenarios under uncertainties in load consumption and renewable energy resource (RES) productions. Simulation results demonstrate that customers’ participation in DR programs has a significant effect on the system’s performance in terms of voltage and frequency stability. Moreover, optimal coordination of DERs and responsive loads can increase the expected profit of MGO significantly. The effectiveness of the proposed scheduling approach is verified on an islanded MG test system over a 24-h period.

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