Hi am Mohamed i would like to get details on reactive power dispatch and control ppt ..My friend Justin said reactive power dispatch and control ppt will be available here and now i am living at ......... and i last studied in the college/school ......... and now am doing ....i need help on ......etc
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The reactive energy dispatch plays an important role in presenting a safe and profitable operation. The present work presents an approach based on the optimization of particle swarms (PSO) to solve the Optimum Power Reactor (ORPD) in the power system, to optimize the voltage profile, reduce losses and improve voltage stability. The proposed algorithm has been applied to the IEEE 30 bus system to find the optimal reactive power control variables, while keeping the system in a safe condition, proved to be more efficient for this task.
Optimal power flow (OPF) is a major concern in the power system. Currently, the planner and operator often use Optimal Reactive Power Flow (ORPF) as a powerful auxiliary tool in the planning and operating stage. Over the decades, the study on reactive power has been available at. The problem of reactive energy dispatch to improve economic operation and control of the energy system has come much more attention. To regulate the stability of the voltage of the electrical system, the profile of the voltage and to reduce the loss of energy requires the appropriate reactive energy and voltage.
A gravitational search algorithm (GSA) for the problem of sending reactive energy (RPD). RPD is an optimization problem that reduces network congestion with one or more targets to minimize active power loss for a fixed economic power schedule. The proposed algorithm is used to find the configurations of the control variables such as generator terminal voltages, transformer tap settings and reactive power output of the compensation devices, in order to minimize the losses of Active power in the transmission system. In this study, GSA is tested and tested on the IEEE 30 bus, 57-bus and 118-bus test systems with different test cases, such as minimizing active power losses, improving voltage profile and gain Of the voltage stability. In order to show the proposed algorithm of efficiency and the obtained results are compared with those reported in the literature. The results of the simulation demonstrate the superiority and accuracy of the proposed algorithm, and considering the quality of the solution obtained, the proposed algorithm seems to be efficient and robust to solve the RPD problem.
