International Journal of Smart Electrical Engineering
Volume:9 Issue: 4, Autumn 2020

The distribution dispatcher can modify the overall distribution network configuration without additional investment and resource input by optimizing the switch combination, thus changing the distribution network operating structure. A multi-objective power distribution network reconfiguration model optimization algorithm is suggested in this article. The objective function is chosen as the minimum loss and the optimum reliability index of load balance and power supply, which can meet the conditions of load rate and voltage offset while reducing network loss and improving the efficiency and reliability of power. The objective function is chosen as the minimum loss and the optimum reliability index of load balance and power supply, which can meet the conditions of load rate and voltage offset while reducing network loss and improving the efficiency and reliability of power. Finally, an instance is given to check the efficacy of the proposed The multi-objective reconfiguration system of the network and the optimal solution collection of both security and reliability multi-objective network reconfiguration scheme are obtained.

In this paper, the parameters of electric field and leakage current (LC) amplitude in polymeric insulator are calculated using finite element method (FEM) and predicted in the neural network. The variable angle and electrical conductivity of water droplets are changed.  Increased electric field due to the presence of water droplets on the insulator surface causes the insulator breakdown probability. In this paper, for predicting the on the polymeric insulator leakage currents a neural network model was proposed, which could arrange for references to prevent contamination flashover. Through the study of a LC data obtained via the FEM simulation, the characteristics of the LC combined with BP neural network. Simulation results illustrate that enhancement in leakage current and electric field values are created when the values of the electrical conductivity and drop contact angle is increased.

Fuzzy differential equations have been widely used in recent years to model the uncertainty of mathematical models, and modeling has always been one of the practical ways to better understand and avoid wasting time in biological experiments. In this paper, in addition to HIV biology, the necessity of using fuzzy systems in modeling has been investigated, the main methods in solving fuzzy differential equations according to the available sources have been introduced, and the advantages and disadvantages of each method have been explained. The second part of the article examines the results of modeling HIV-infected particles in an inaccurate environment using fuzzy logic in both analytical and numerical methods and simulates the model.

In this paper, first, we introduced a quantum system and how to create a quantum dot-paid and then with regard to the calculation of a quantum system uses quantum dots define a Hamiltonian for a Coulomb potential is caused by an electric dipole special functions particularly well as it could have obtained the relevant amounts. Finally, using a numerical method to compare the two discussed.

A fuzzy inference system is a mapping of input-to-output space implemented using membership functions and fuzzy rules. Intelligent, control and decision making is one of the most important fuzzy inference algorithms. Mamdani and Sugno fuzzy inference algorithms are examined and their advantages and disadvantages are stated.

In this paper, a combination of step-back theories and linear feedback is used to control the status of a satellite. Dynamic equations govern the status of nonlinear and multi-input-multi-output satellites. The angles of rotation, the direction and top of the outputs of this system and the torques around the three axes of the satellite are its inputs. In the proposed algorithm, which uses the step-back theory, in the first step, the linear input-output feedback method is used for multi-inputmulti-output systems, and the desired angular velocities around the three axes of the satellite are determined. Using this method, in the second step, we will face three single-input-single-output subsystems. Then, in the second step, in order for the angular velocities to reach the desired values, the linear feedback theory is once again used to generate torques around three axes. Finally, computer simulation is performed to evaluate the efficiency of the proposed method.