Power Measurement Model Optimization using MATLAB

Abstract

Measurement of Power is circuits is important. It is used to determine the efficiency of the system. There are different types of loads. One of them is a three-phase load. Three phases of electric power are the usual method of alternating current transmission and distribution. This method is a type of polyphase system and is most commonly used in electrical grids to transfer power. An advantage of three-phase systems over single-phase systems is the power delivered is constant, it gives higher output, has a higher power factor, has uniform torque and it requires fewer conductors. However, these systems cannot be measured easily. These systems require two or more wattmeter when being measured. This research will develop a MATLAB Optimization model to measure power in three phase circuits. A database for power capacity will be developed and optimization algorithms will be applied to it.

Evaluation of Sinusoidal Distribution Networks Using the EPC Simulation Software

“…The apparent powers according to DIN 40110-2 [24] are calculated, in (11), based on the voltages and currents determined in (2). These powers are displayed on the "Apparent Powers and Components" screen in (12).…”

“…The use of these powers in vector notation gives great potential to the EPC software to simulate operations with unbalanced loads, as seen in [5], and even to analyze the integration of renewable energies in distribution networks. The study of the operation of unbalanced electrical networks is of great interest [7][8][9][10][11][12][13][14][15][16][17][18][19][20], and the components of the unbalanced power vector ( → S u ) allow us to separately analyze the power effects of imbalances according to each of their causes, namely, imbalances in active power supplies, imbalances in reactive power supplies, and imbalances in supply voltages.…”

Optimal Design the Compliant Bistable Mechanism based on NSGA-II

“…Taguchi algorithm for optimization are also engaged to design compliant mechanism [17,18], nonlinear behavior should be investigated. Genetic algorithm (GA) has much utilization in engineering [19,20], especially non dominated sorting genetic algorithm II (NSGA-II) is widespread in design mechanism [21][22][23]. The method developed from the Genetic algorithm with multi-objective function, which advances for fast nondominated sorting, crowding distance method and elitism methodology increased the convergence and robustness.…”