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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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Short-term reliability and economic evaluation of resilient microgrids under incentive-based demand response programs

AuthorsMostafa Vahedipour-Dahraie
JournalInternational Journal of Electrical Power and Energy Systems
Page number1-11
Serial number132
Volume number1
IF3.289
Paper TypeFull Paper
Published At2022
Journal GradeISI
Journal TypeTypographic
Journal CountryIran, Islamic Republic Of
Journal IndexISI،JCR،Scopus
KeywordsIncentive, based demand response (IBDR)microgrid (MG)ResiliencyReliability assessmentRisk management

Abstract

In this paper, a flexibility oriented stochastic scheduling framework is presented to evaluate short-term reliability and economic of islanded microgrids (MGs) under different incentive-based DR (IBDR) programs. A multi-period islanding constraint is considered to prepare the MG for a resilient response once a disturbance occurs in the main grid. Also, a multi-segment optimal power flow (OPF) approach is used to model the IBDR actions and reserve resources. Moreover, uncertainties associated with electricity prices, loads, renewable generation, calls for reserve as well as uncertainties of islanding duration of the MG are considered. The ultimate goal of the MG operator is to maximize its expected profit under a certain level of security and reliability in conjunction with the minimization of energy procurement costs of customers. The MG's economy and reliability indices are studied considering normal operation and resilient condition based on appliances characteristics, customers’ and operator's behaviors. The proposed model can effectively manage MGs operation in both normal and resilient conditions in order to improve economic and reliability indices. Numerical results demonstrate that by implementing IBDR, in cases of normal and resilient operation, the expected profit of the MG operator increases about 4% and 2.7% and reliability indicator improved 60% and 56%, respectively.