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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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A decision-making model for joint energy and reserve scheduling of wind power producers with local intraday demand response exchange market

AuthorsMostafa Vahedipour-Dahraie
JournalInternational Journal of Electrical Power and Energy Systems
Page number1-12
Serial number162
Volume number1
IF3.289
Paper TypeFull Paper
Published At2024
Journal GradeISI
Journal TypeTypographic
Journal CountryIran, Islamic Republic Of
Journal IndexISI،JCR،Scopus
KeywordsDemand response (DR) Load aggregator Intraday DR exchange (IDRX) market Peer, to, peer energy trading Wind power producer (WPP)

Abstract

In this paper, a three-stage stochastic bi-level optimization framework is presented for optimal participation of wind power producers (WPPs) in day-ahead (DA), intraday, and balancing markets. In this framework, to leverage demand response (DR) services, a peer-to-peer (P2P) energy trading platform is implemented that allows local load aggregators (LAs) to contribute to the intraday markets improving both LAs’ and WPP’s benefits. Participating in the intraday DR exchange (IDRX) market enables WPP to purchase DR services from LAs, to reduce the penalty cost on the deviation between the day-head bidding and the real-time dispatch. A Stackelberg game for the bi-level decision-making model captures the conflict of interests between the WPP and LAs, in which, the upper level seeks to maximize WPP profit, while the lower level aims to maximize LAs’ economic surplus. The bi-level model is converted into its equivalent single-level mixed-integer quadratic problem (MIQP) employing the Karush-Kuhn-Tucker (KKT) conditions and strong duality theorem. Simulation results show that participation of the WPP in the IDRX market and employing spinning reserve and DR services for compensating the uncertainties are greatly dependent on its risk preferences and increase its expected profit in all conditions, significantly.