H
Hossein Farahmand
Researcher at Norwegian University of Science and Technology
Publications - 111
Citations - 1382
Hossein Farahmand is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Electric power system & Flexibility (engineering). The author has an hindex of 19, co-authored 95 publications receiving 978 citations. Previous affiliations of Hossein Farahmand include SINTEF & Shahid Bahonar University of Kerman.
Papers
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Journal ArticleDOI
Balancing market integration in the Northern European continent
Hossein Farahmand,Gerard Doorman +1 more
TL;DR: In this article, the integration of the balancing power markets in Northern Europe including the Nordic system, Germany and the Netherlands is analyzed, where the day-ahead market and the balancing market are settled separately.
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Robust planning of distributed battery energy storage systems in flexible smart distribution networks: A comprehensive study
Seyed Aboozar Bozorgavari,Jamshid Aghaei,Jamshid Aghaei,Sasan Pirouzi,Ahmad Nikoobakht,Hossein Farahmand,Magnus Korpås +6 more
TL;DR: To model the uncertain parameters in the proposed problem including forecasted active and reactive loads, energy and charging/discharging prices and the output power of vRES, the bounded uncertainty-based robust optimization (BURO) framework is proposed in the next step.
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Two-stage hybrid stochastic/robust optimal coordination of distributed battery storage planning and flexible energy management in smart distribution network
Seyed Aboozar Bozorgavari,Jamshid Aghaei,Jamshid Aghaei,Sasan Pirouzi,Vahid Vahidinasab,Vahid Vahidinasab,Hossein Farahmand,Magnus Korpås +7 more
TL;DR: A two-stage formwork for the coordinated distributed battery energy storage systems (DBESSs) planning and the flexible energy management (FEM) in a smart distribution network (SDN) in the presence of electric vehicles’ (EVs’) parking lot and variable renewable energy sources (VRESs).
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Transmission expansion planning in Northern Europe in 2030—Methodology and analyses
TL;DR: In this article, a two-step investment algorithm containing an iteration loop is proposed to identify profitable investments based on the results of the operation optimisation model, where the effect of the investments on the power market outcome is taken into account through the iterative process.
Journal ArticleDOI
Hybrid Mutation Particle Swarm Optimisation method for Available Transfer Capability enhancement
Hossein Farahmand,Masoud Rashidinejad,Alireza Mousavi,A.A. Gharaveisi,Malcolm R. Irving,Gareth A. Taylor +5 more
TL;DR: In this article, a hybrid mutation Particle Swarm Optimization (HMPSO) technique for improved estimation of Available Transfer Capability (ATC) as a decision criterion is proposed.