This paper presents an innovative active power filter design method to simultaneously compensate the current harmonics and reactive power of a nonlinear load. The power filter integrates a passive power filter which is a RL low-pass filter placed in series with the load, and an active power filter which comprises an RL in series with an IGBT based voltage source converter. The filter is assumed...

Due to the resource constraint and dynamic parameters, reducing energy consumption became the most important issues of wireless sensor networks topology design. All proposed hierarchy methods cluster a WSN in different cluster layers in one step of evolutionary algorithm usage with complicated parameters which may lead to reducing efficiency and performance. In fact, in WSNs topology, increasin...

The paper considers simultaneous and tuning of power system stabilizers for stabilization of power systems over a wide range of operating conditions using genetic algorithm. The power system operating at various conditions is considered as a finite set of plants. The problem of setting parameters of power system stabilizers is converted as a simple optimization problem that is solved by a genet...

A constrained version of the Big Bang-Big Crunch algorithm for the efficient solution of the optimal reservoir operation problems is proposed in this paper. Big Bang-Big Crunch (BB-BC) algorithm is a new meta-heuristic population-based algorithm that relies on one of the theories of the evolution of universe namely, the Big Bang and Big Crunch theory. An improved formulation of the algorithm na...

wind power has been widely considered and utilized in recent years as one of the most promising renewable energy sources. in the current research study, aerodynamic analysis of the upwind three-bladed horizontal axis turbine is carried out using blade element momentum theory (bem), and a genetic algorithm (ga) is applied as an optimization method. output power generation is considered as an obj...

wind power has been widely considered and utilized in recent years as one of the most promising renewable energy sources. in the current research study, aerodynamic analysis of the upwind three-bladed horizontal axis turbine is carried out using blade element momentum theory (bem), and a genetic algorithm (ga) is applied as an optimization method. output power generation is considered as an obj...

An adaptive genetic-simplex algorithm for parameter optimization in nuclear power plant is proposed by using adaptive crossover and mutation techniques and integrating genetic algorithm with simplex algorithm. The modified algorithm enables the handing of nonlinear constrained optimization problem because of dramatically improved search capability. Performance comparison between the proposed al...

. the sonocatalytic activity of nano-sized zno powder was studied via the degradation of the direct blue 71 azo dye. the nano-sized zno powder that was selected was the same as that which was synthesized and characterized in our previous study. the influences of six operational parameters including the initial ph, the initial concentration, the dose of sonocatalyst, the ultrasound frequency, th...

The flexible job shop scheduling problem has always been the focus of research in manufacturing field. However, most previous studies focused more on efficiency and ignored energy consumption. Energy, especially non-renewable energy, is an essential factor affecting sustainable development a country. To this end, paper designs model with consideration line production Except for processing stage...

a high accurate and low-voltage analog cmos current divider which operates with a single power supply voltage is designed in 0.18µm cmos standard technology. the proposed divider uses a differential amplifier and transistor in triode region in order to perform the division. the proposed divider is modeled with neural network while tlbo algorithm is used to optimize it. the proposed optimization...