Hossein Salehfar

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1 John L. Watson, Dean, School of Engineering and Mines, University of North Dakota, PO Box 8155, Grand Forks, ND 58202 2 George Bibel, Professor, Mechanical Engineering, University of North Dakota 3 Kenneth Ebeling, Professor, Industrial Engineering, North Dakota State University 4 John Erjavec, Chair & Professor, Chemical Engineering, University of North(More)
A new systematic algorithm to build adaptive linguistic fuzzy models directly from input-output data is presented in this paper. Based on clustering and projection in the input and output spaces, significant inputs are selected, the number of clusters is determined, rules are generated automatically, and a linguistic fuzzy model is constructed. Then, using(More)
A new systematic algorithm to build adaptive linguistic fuzzy models directly from input-output data is presented in this paper. Based on clustering and projection in the input and output spaces, significant inputs are selected, the number of clusters is determined, rules are generated automatically, and a linguistic fuzzy model is constructed. Then, using(More)
An analysis of the impact on transient stability of adding renewable generation capacity to a power system is performed and new approach to calculating the stability limit is proposed. Wind generation is being treated as inertia-less generation source. The results show that addition of wind generation has dissimilar impact depending on the transient event(More)
Eight years after its inception, the Kyoto protocol finally entered into force on February 16, 2005. In this respect, it is imperative to explore different greenhouse gas (GHGs) emissions reduction options in developing countries under the framework of Kyoto protocol. A number of analyses reveal that half of the global emission reductions can be achieved by(More)
Wind power is among the fastest growing renewable sources of energy. A Wind Turbine Emulator (WTE) is a tool that emulates an actual wind turbine and enables the study of different control topologies for electric power generators. This paper presents the development of a sub kW WTE and demonstrates its performance under a highly fluctuating wind profile.(More)
In this paper, using particle swarm optimization (PSO) based method is developed to determine the optimal allocation of distributed generators (DGS) on a multi phased unbalanced distribution network. PSO algorithm has been programmed in MATLAB using open source software called OpenDSS in a cosimulation environment to solve the unbalanced three-phase optimal(More)
Introduction: Optimal power flow (OPF) is an enhanced form of the economic dispatch (ED) optimisation problem where both active and reactive powers are treated as control variables and adjusted to minimise generation cost while observing associated power flow constraints. The constraints include but are not limited to thresholds on bus voltages, reactive(More)