Date of Award

7-2021

Document Type

Dissertation - Campus Access Only

Degree Name

Doctor of Philosophy (PhD)

Degree Discipline

Electrical Engineering

Abstract

In recent years, a Microgrid has become significant and commonly use. A Microgrid has localized electricity sources and loads that connect to a centralized electrical power network when the need arises and disconnect to island mode. In this case, a microgrid can effectively integrate various sources of distribution generators that can supply, improve the voltage level on the transmission line by reducing the real power losses on it and providing emergency power, and improve the voltage level at the consumer end.

In this work, new technologies will permit power grids to be better prepared for future requirements. More flexible network management makes rising proportions of renewable energy supply compatible with conventional power plant infrastructure. The numbers and diversity of such decentralized power plants require a new type of management in the operation of power grids - an intelligent network or "smart grid." Using a SCADA system will improve coordination between power demand and generation and use of modern information technology such as the Internet, sensors, controllers, and wireless transmission equipment and used Smart metering. In essence, digital electricity meters measure power consumption at the power grid's endpoints. The Accelerated Particle Swarm Optimization technique will apply. It is a modern technique that appeared for optimization. It will compare with the standard Particle Swarm Optimization technique to perform the optimization operation of power flow in the transmission line by selecting the optimum location of distribution generator installed in power network considering minimum power losses with optimal operation consideration the no. of iteration, the execution time of program and capacity. One Wind Turbine DG (WTDG) is considered for the analysis. The entire study is carried out in MATLAB. Also, another optimization will use to select the type and location of FACTs devices to improve the system's power flow and transient stability. The simulation results obtained for optimizing the nonlinear objective functions using the MATLAB program designates that APSO accomplishes roughly developments regarding computation time and best fitness.

Committee Chair/Advisor

Penrose Cofie

Committee Member

John Fuller

Committee Member

Pamela Obiomon

Committee Member

Zial Haque

Committee Member

John O. Attia

Publisher

Prairie View A&M University

Rights

© 2021 Prairie View A & M University

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Date of Digitization

11/07/2024

Contributing Institution

John B Coleman Library

City of Publication

Prairie View

MIME Type

Application/PDF

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