فهرست مطالب شهریار تمندانی

This paper analyzes the simulated performance of a Si-poly photovoltaic system connected to a 20 kilowatt network in western Mazandaran. The simulation system consists of 66 modules with a power of 310 watts and is powered by two 9.9 kW inverters to connect to the network. The simulation was performed using PVSyst 6.68 software, and the weather data from the Mazandaran Meteorological Database and Meteororm7.2 software were used for this analysis. The results suggest that a 129-meter-wide land plot will be installed and 66-panel 310 watts installed with 2 in. 9.9 kW and will supply the network with an annual output of 34.05 megawatts per year.

Nowadays, the use of graphene and its nano structures has evolved greatly in the electronics and electronics fields. Such structures are found in shapes such as nano ribbons, nano meshes, and quantum dots. Calculating the electronic and optical parameters of these structures is the main concern of the researchers. One of these parameters is their optical conductivity, which is widely used in electronic and telecommunication applications. The sharing of these structures creates a band gap in their energy levels. In this paper, the calculation of an approximate energy-based method for calculating the optical conductivity of nano graphene is presented and simulated using Matlab. With regard to simulation, it can be seen that increasing the energy gap leads to an increase in the optical conductivity of higher wavelengths.

Today, the use of renewable energy in electricity production to different causes, including lack of fossil fuel resources, reduce environmental pollution, improving power quality, reduce line losses and stability of networks is growing rapidly. In recent years the above reasons as well as lack of electricity transmission networks nationwide to ships carrying fuel and limit their energy use in new vessels, researchers have been considered.The aim of this proposal is to find out the optimal value of the DG capacity to reduce line losses (LLRI) and Voltage Profile Improvement Index (VPII). To achieve this goal, integrate the particle swarm optimization (PSO) with the chaotic sequences is proposed. The application of chaotic sequences in PSO is an efficient strategy to improve the global searching capability and escaping from local minima. Calculation line losses and voltage profile was accomplished by Newton-Raphson load flow solution. The proposed method is tested on a standard IEEE-30 bus system and the results of the simulation carried out by using MATLAB are found to be encouraging. Moreover rate convergence in this method is very higher than the other methods. The method has the potential to be used for identifying the best location and rating a DG to be installed for improving power quality in an electrical power system.

Hidden Markov models are successful tools for signal processing. Nowadays these models play a key role in analyzing dynamic features of speech processing. Using hidden Markov models besides neural networks are robust tools for speech processing.

As a component of error can lead to total system error, therefore we can concluded that the reliability of the system depended the reliability of total system. Today, due the increased complexity of systems required high reliability theory, reliability is therefore to be commensurate with the special applications developed. Therefore, increased reliability of electronic equipment electrification has a special significance. Precise calculations of electricity distribution network reliability in the smallest vessels that encountered in the irreparable damage they can impose is critical. In this paper a new method of optimal allocation DG in distribution system is presented. Optimal DG allocation for reliability and voltage profile improvement and less reduction in distribution network was used Genetic Algorithm. The proposed method is simulated with MATLAB on bus 2 RBTS. The simulation results confirm improvement reliability and voltage profile and less reduction network after applying proposed method on electrical systems.