Voltage drop is one of the power quality problems affecting power users. This happens due to the higher demand for electric power. Or a short circuit in the transmission system. This causes a voltage drop is one of the power quality problems affecting power users. This happens due to the higher demand for electric power. Or a short circuit in the transmission system. This results in drop in Solving of voltage drop problems in power distribution model with distributed generator were presented with MATLAB program by installing a generator in the distribution system. Therefore simulated a case study 5 case 1 simulation by not installing a generator at any bus case 2 simulation by installing a Generator at bus 1 case 3 Simulation by installing a Generator at bus 18 case 4 simulation by Generator installed at bus 33 and case 5 simulation by Generator installed at bus 13 17 21 31 to study the suitable location of generator installation to solve the problem of voltage drop.

This Project presents electric bicycle. The structural feature is the use of the bicycle to be modified as it is designed to spin the rotor of the 5-phase magnetic line generator set and test the voltage distribution. The principle of operation of electric bicycles relies on the mechanical energy gained from cycling. The rotor consists of a series of permanent magnetic poles intersecting with a stator consisting of a set of conductor coils generating an AC voltage and converting it from AC to DC through a diode bridge to obtain DC voltage. To be connected to the boost converter to increase the output side pressure level to get the right voltage to charge a 12 volt battery. batteries. The test has been tested for cycling to generate electricity at a speed of 400 rpm while no-load has a voltage of 23.3 volt and with a load per load and at a speed of 400 rpm the voltage is 12.1 volt If the bicycle is cycled at an increased speed the voltage and current will increase. In order to transmit electric power to the single-phase power system an inverter is used to connect the single-phase power system to transmit to the single-phase power grid.

This research had the objective to design and develop power production from daily life leftovers for their highest benefit of utilization by using the principle of quality function development and power generator that changed mechanical energy into electric energy. In developing electric generator product from air conditioner condensing unit the researcher found that there were 4 important factors including speed installation distance size and cross-sectional area of the fan and the test was conducted between 8.00-17.00 hours. The researcher collected the data and analyzed the test result and found that the best result in the test was to install the product at the distance of 10 cm by using an 18 fan in order to acquire the best voltage and the data were collected so that they could be implemented in developing such product in the future.

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.

The purposes of the research were; 1) to study the relative rotation of AC-generator 2) to study the angular velocities of magnetic coil and permanent magnetic influence generating voltage of AC-generator and 3) to construct predictive equations of generating voltage of AC-generator. By the 12-V 6-pole alternator of motorcycle Pearson’s correlation and regression analysis the findings revealed that: 1) At the lowest relative angular velocity of 376 rpm the generating voltage is 3.28 V. While the highest relative angular velocity of 2280 rpm the generating voltage is 22.98 V. 2) The angular velocity of permanent magnetic has great influences on generating voltage than the angular velocities of magnetic coil at the .01 level of significant and 3) function as below : Generating voltage = 0.806 (Velocity of permanent magnetic) + 0.634 (Velocity of magnetic coil)