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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 bidding of profit-seeking virtual associations of smart prosumers considering peer to peer energy sharing strategy

AuthorsMostafa Vahedipour-Dahraie
JournalInternational Journal of Electrical Power and Energy Systems
Page number1-10
Serial number132
Volume number1
IF3.289
Paper TypeFull Paper
Published At2021
Journal GradeISI
Journal TypeTypographic
Journal CountryIran, Islamic Republic Of
Journal IndexISI،JCR،Scopus
KeywordsDemand response (DR)peer, to, peer (P2P) energy tradingStochastic schedulingvirtual association (VA)

Abstract

This paper presents a risk-averse stochastic framework for virtual associations (VAs), which are dynamic clusters of prosumers. A VA, as a price taker agent, supports the active participation of prosumers in the day-ahead (DA) electricity market. In this regard, a bi-level optimization model is formulated to optimize the decision-making problem of the VA in the DA market with the main goal of maximizing VA profit and minimizing the total energy costs of prosumers. In this framework, the impacts of peer to peer (P2P) trading among the prosumers and VAs on the offering and bidding strategies of VAs are also considered. In a competition among VAs, the prosumers are able to select the most competitive VA to participate in the DA market. Moreover, due to the uncertainties of market prices, the VA should undertake the risks arising from price volatilities that may cause the VA to suffer from financial loss due to occurrence of some scenarios such as price spikes. To compensate the undesired effects of the occurrence of price spikes, the impacts of demand response (DR) actions and peer to peer (P2P) energy trading among prosumers on the decisions of VA are analyzed. Moreover, an index is defined from which the competitive condition in a retailing layer would be analyzed. Using Nordpool data as a practical test system, the undesired effects of occurrence of price spikes are compensated using demand response (DR) actions and peer to peer (P2P) energy trading among prosumers. Moreover, an index is defined from which the competitive condition in a retailing layer would be analyzed.