نتایج جستجو برای: psogsa
تعداد نتایج: 44 فیلتر نتایج به سال:
In order to minimize the initial energy storage of tens MA-class Z-pinch accelerators, an intelligent optimization method was developed based on transmission line code circuit model and PSOGSA algorithm. Using several input parameters, four overall parameters accelerator could be fast determined, including connection parallel combination LTD cavities, outer radius stack-MITL system, electrical ...
Optimal reactive power dispatch (ORPD) intended for reducing the real losses of transmission scheme remains one supreme concerns research community to explore competence schemes. Numerous systems have been deliberate increase performance optimization method in tunning operational variables as well explored through estimating final results. The offering a novel approach based on entropy evolutio...
با توجه به خصوصیات فیزیکی بسیار نزدیک اهداف واقعی و کلاترِ سونار فعال، تفکیک این اهداف، از موضوعات چالش برانگیز محققان و صنعت گران حوزه آکوستیک می باشد. شبکه های عصبی چندلایه (mlp) یکی از پرکاربردترین شبکه های عصبی در دسته بندی اهداف دنیای واقعی هستند. آموزش از مهمترین بخش های توسعه این نوع شبکه ها است که در سال های اخیر بسیار مورد توجه قرار گرفته است. به منظور آموزش شبکه های mlp از دیر باز استف...
In the renewable energy sector, extraction of parameters for solar photovoltaic (PV) cells is a widely studied area research. Parameter non-linear complex optimization problem PV cells. this research work, authors have implemented Tunicate swarm algorithm (TSA) to estimate optimized value unknown cell/module under standard temperature conditions. The simulation results been compared with four d...
In this paper, the optimal design of supplementary controller parameters of a unified powerflow controller(UPFC) for damping low-frequency oscillations in a weakly connected systemis investigated. The individual design of the UPFC controller, using hybrid particle swarmoptimization and gravitational search algorithm (PSOGSA)technique under 3 loadingoperating conditions, is discussed. The effect...
the gravitational search algorithm (gsa) is a novel optimization methodbased on the law of gravity and mass interactions. it has good ability to search forthe global optimum, but its searching speed is really slow in the last iterations. sothe hybridization of particle swarm optimization (pso) and gsa can resolve theaforementioned problem. in this paper, a modified pso, which the movement ofpar...
Autonomous operation of a microgrid system hinges on the efficient combination of various energy resources to maintain self-sustainability of energy supply. Furthermore, it is equally important to coordinate the resources to regulate the microgrid voltage profile. The problem becomes more complicated if these resources have intermittent characteristics such as solar PV and wind turbines. The po...
This paper presents a new hybrid evolutionary based algorithm based on PSO and GSA for solving optimal reactive power dispatch problem in power system. The problem was designed as a MultiObjective case with loss minimization and voltage stability as objectives. Generator terminal voltages, tap setting of transformers and reactive power generation of capacitor banks were taken as optimization va...
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