Electric power quality problem has become an important problem in modern society, which effects industrial production and product quality, etc. So, we urgently need monitor and analyze electric power parameter to solve electric power quality problem. In this paper, we design a kind of electric power parameter detection system based on visual instrument (VI) technology, etc. System uses voltage/...

network expansion studies normally offer new power lines, new substations or expansion of existing substations. they are generally proposed based on technical requirements, but financial restrictions are not considered. because of financial restrictions, ranking of network expansion plans is required. in this paper an algorithm for such ranking, based on technical and financial view points and ...

in this paper, a numerical solution procedure is presented for the forced vibration of a piezoelectric nanowire under thermo-electro-mechanical loads based on the nonlocal elasticity theory within the framework of timoshenko beam theory. using hamilton’s principle, the nonlocal governing differential equations are derived. the governing equations and the related boundary conditions are discreti...

Using electric vehicles, in addition to decreasing the environmental concerns, can play an important role in decreasing the peak and filling the off-peaks of the daily load characteristics. In other words, in smart grids' infrastructure, the load characteristics can be improved by scheduling the charge and discharge process of electric vehicles. In smart grids, the customers are instantaneously...

the share of dc-based renewable energy resources (rers) and electricity storage systems are increasing due to developments of smart grid technologies. moreover, the share of dc-based load has rapid growth due to significant developments of power electronic technologies. therefore, a more flexible power system is required for efficient integration of emerging loads and generators. in this paper,...

The purpose of this study is designing a model based on Tobit regression, DEA, Artificial Neural Network, Genetic Algorithm and Particle Swarm Optimization to evaluate the efficiency and also benchmarking the efficient and inefficient units. This model has three stages, and it uses the data envelopment analysis combined model with neural network, optimized by genetic algorithm, to evaluate the ...

The Lagrange multiplier-based method is an effective network parameter error identification method. However, two full matrices with high-dimensions are involved in the calculation procedure; these create huge computational burdens for large-scale power systems. To solve this problem, a fast solution is proposed in this paper, where special treatment techniques for full matrices are used to dram...

Due to nonlinear uncertainties of the electric scooter such as nonlinear friction force of the transmission belt and clutch, these will lead to degenerate tracking responses in command current and speed of the permanent magnet synchronous motor (PMSM) servo-driven electric scooter. In this study a novel hybrid recurrent wavelet neural network (HRWNN) control system is proposed to raise robustne...

using electric vehicles, in addition to decreasing the environmental concerns, can play an important role in decreasing the peak and filling the off-peaks of the daily load characteristics. in other words, in smart grids' infrastructure, the load characteristics can be improved by scheduling the charge and discharge process of electric vehicles. in smart grids, the customers are instantane...