مقالههای Ehsan Heidari
توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقالههای نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده میشوند.
۱Intelligent Fuzzy Controller by Hybrid Genetic Algorithm Particle Swarm Optimization Technique in UPFC for Enhancing Power System Transient Stability
اطلاعات انتشار: دومین کنفرانس ملی محاسبات نرم و فن آوری اطلاعات، سال ۱۳۹۰
تعداد صفحات: ۹
With increased power transfer, transient stability is increasingly important for secure operation. Transient stability evaluation of large scale power systems is an extremely intricateand highly non–linear problem. An important function of transient evaluation is to appraise the capability of the power system to withstandserious contingency in time, so that some emergencies or preventive control can be carried out to prevent system breakdown. Inpractical operations correct assessment of transient stability for given operating states is necessary and valuable for power system operation. UPFC(Unified Power flow controller) controller is FACTS device which can be used to control active and reactive power flows in a transmission line. The damping ofpower system oscillations after a three phase fault is also analyzed with the analyzation of the effects UPFC on transient stability performanceof a power system. This paper presents the HGAHGAPSO optimization of the parameters of a fuzzy controller for UPF Causing a HGAPSO algorithm to enhance the transient stability performance of power systems. Computer simulation by MATLAB results on a 2–area 4–machine 12–bus power system with an UPFC installed between buses s and r confirm the efficacy of the new approach in damping the local–mode and inter–area mode of oscillations.<\div>
نویسنده(ها): Ehsan Heidari
اطلاعات انتشار: World Applied Sciences Journal، بيست و سوم،شماره۱۲، ۲۰۱۳، سال ۰
تعداد صفحات: ۷
Aiming at the problem of limited energy of sensors in Wireless Sensor Network, based on the classic clustering routing algorithm LEACH, a distance–energy cluster structure algorithm considering both the distance and residual energy of nodes is presented, which improves the process of cluster head election and the process of data transmission. This protocol can successfully prolong the network’s lifetime by 1) reducing the total energy dissipation on the network and 2) evenly distributing energy consumption over all sensor nodes. In this protocol, the nodes with more energy and less distance from the BS are probable to be selected as cluster–head. Simulation results with MATLAB show that proposed protocol could increase the lifetime of network more than 90% for First Node Die (FND) and more than 6% for the half of the nodes alive (HNA) factors as compared with conventional protocols.
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