Hasan Doagou Mojarrad

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Economic dispatch (ED) problem is a nonlinear and non-smooth optimization problem when valvepoint effects, multi-fuel effects and prohibited operating zones (POZs) have been considered. This paper presents an efficient evolutionary method for a constrained ED problem using the new adaptive particle swarm optimization (NAPSO) algorithm. The original PSO has(More)
0196-8904/$ see front matter 2010 Elsevier Ltd. A doi:10.1016/j.enconman.2010.11.004 ⇑ Corresponding author. Address: Electronic and E University of Technology, Modars Blvd., P.O. 71555-3 7264121; fax: +98 711 7353502. E-mail addresses: niknam@sutech.ac.ir, taher_n hasan_doagou@yahoo.com (H.D. Mojarrad), h.zeinaddin Economic dispatch (ED) is one of the(More)
0957-4174/$ see front matter 2011 Elsevier Ltd. A doi:10.1016/j.eswa.2011.04.151 ⇑ Corresponding author. Tel.: +98 711 7264121; fax E-mail addresses: niknam@sutech.ac.ir (T. Niknam Firouzi), hasan_doagou@yahoo.com (H.D. Mojarrad). Reduce fossil fuel resources; increasing established new power generation unit costs; and ever growing demand for electric(More)
In the electric power systems, there is a wide range of problems involving optimization processes. Among them, Economic Dispatch (ED) is one of the most important problems in the operation and management. Recently, modern meta-heuristic algorithms have been considered as effective tools for nonlinear optimization problems with applications to power systems(More)
A new Multi-objective Fuzzy Adaptive Chaotic particle swarm optimization (MFACPSO) evolutionary algorithm for the Multi-objective daily Optimal Operation Management (MOOM) problem with regard to fuel cell power plants (FCPPs) in distribution system is presented in this paper. The purposes of the MOOM problem are to minimize the total electrical energy(More)
In this paper a novel Multi-objective fuzzy self adaptive hybrid particle swarm optimization (MFSAHPSO) evolutionary algorithm to solve the Multi-objective optimal operation management (MOOM) is presented. The purposes of the MOOM problem are to decrease the total electrical energy losses, the total electrical energy cost and the total pollutant emission(More)
This paper presents an efficient Multi-objective Crazy Chaotic Particle Swarm Optimization (MCCPSO) evolutionary algorithm to solve the Multi-objective Optimal Operation Management (MOOM) considering Fuel Cell Power Plants (FCPPs) in distribution network. The objective functions of the MOOM problem are to decrease the total electrical energy losses, the(More)
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