This research project presents about the design and construction of a five-phase generator for producing magnetic force along the shaft axis that there are various important elements which should be considered in the processes of the design and construction such as flux per pole number of poles number of turns rotor speed and winding coefficient of coils. The experiment result is found that the five-phase axial flux permanent magnet generator along the shaft axis can produce DC voltage by the efficiency without load and with load. Furthermore this contribution can be used to produce electricity with other renewable energy such as electricity from wind energy.

This research study is the economic load dispatch ELD is the method of determining the most efficient low-cost and reliable operation of a power system by dispatching the available electricity generation resources to supply the load on the system. The main objective of ELD is to schedule the committed generating units output to meet the required load demand at minimum cost satisfying all unit and system operational constraints. With the proper scheduled outputs of generating units it can lead to a significant cost saving of generating systems. This paper presents an optimization technique to economic load dispatch (ELD) problems with considering the daily load patterns and generator constraints using a particle swarm optimization (PSO). The objective is to minimize the fuel cost. The optimization problem is subject to system constraints consisting of power balance and generation output of each units. The application of a constriction factor into PSO is a useful strategy to ensure convergence of the particle swarm algorithm. The proposed method is able to determine the output power generation for all of the power generation units so that the total constraint cost function is minimized. The performance of the developed methodology is demonstrated by case studies in test system of fifteen-generation units. The results show that the proposed algorithm gives the minimum total cost of generation while satisfying all the constraints and benefiting greatly from saving in power loss reduction.

Ground grid design of substation is very important. It will help prevent the danger caused by the fault which causes the high step voltage and high touch voltage and may cause the operator to die. It also helps prevent damage to equipment and increases reliability for power systems as well. Currently the Gas Insulated Substation (GIS) has been built a lot especially in areas with limited space because it takes less space than the Air Insulated Substation (AIS). In order to create a substation of the GIS model instead of the AIS model. In order to create the GIS instead of AIS including the improvement or maintenance of the substation it is necessary to build another small substation to supply electricity to replace electricity from the original substation. However there are two substation stations in the same area may cause an increase of high-slope ground potential between the ground grid systems of both substations. It will cause high step voltage and high touch voltage while the fault is diminished. Therefore before improvement or maintenance of substation the ground grid distance and the size of the newly constructed substation must be analyzed that what effect on step voltage and touch voltage generation. Including studying the effects of step voltage and touch voltage that will occur.

Metaheuristic optimization approach has become the new framework for control synthesis. The main purposed of the control design are input (command) tracking and load (disturbance) regulating. This research proposes an optimal proportional-derivative (PID) controller design for the brushless dc (BLDC) motor speed control system with input tracking and load regulating constrained optimization by using the cuckoo search (CuS) one of the most efficient population-based metaheuristic optimization techniques. The sum-squared error between population-based metaheuristic optimization techniques. The sum-squared error between the referent input and the controlled output is set as the objective function to be minimized. The rise time the maximum overshoot settling time and steady-state error are set as inequality constraints for tracking purpose while the regulating time and the maximum overshoot of load regulation are set as inequality constraints for regulating purpose. Results obtained by the CuS will be compared with those obtained by the particle swarm optimization (PSO) and genetic algorithm (GA). From simulation results it was found that the parameters of CuS were optimal than both PSO and GA for BLDC motor speed control system satisfying the preset input tracking and load regulating constraints. In addition the simulation results are confirmed by the experimental ones from the BLDC motor speed control system developed in the laboratory.

This paper presents the simulation and experimental result of class-E power amplifier. It is often used in designing a high frequency ac power source because its ability to perform the conversion efficiently even at high frequencies with significant reduction of switching losses. This paper aims to compare the transmission performance of electrical power between the air core transformer and iron core transformer which the identical input voltage of 50 VAC. Both transformers are designed to step voltage up (step up transformer) ratio of 1:4.5. The Arduino microcontroller Arduino was used to generate a pulse width modulation (PWM) with operating frequency of 3.74 kHz. IC gate drive TC4422 was used to drive the IRF510 MOSFET. Based on the simulation and experimental results the power loss in air core transformer is 75 percent while power loss in iron core transformer is 0.2 percent. The maximum distance that can transmit electric power of air core transformer is 9.3 centimeters.