Theses and Dissertations

Wenqin Xue

Issuing Body

Mississippi State University

Advisor

Fu, Yong

Committee Member

Abdelwahed, Sherif

Committee Member

Grzybowski, Stanislaw

Date of Degree

12-9-2011

Document Type

Graduate Thesis - Open Access

Major

Electrical Engineering

Degree Name

Master of Science (M.S.)

College

James Worth Bagley College of Engineering

Department

Department of Electrical and Computer Engineering

Abstract

Optimization techniques are widely applied in the power system planning and operation to achieve more efficient and reliable power supply. With the introduction of new technologies, the complexity of today’s power system increased significantly. Intelligent optimization techniques, such as Particle Swarm Optimization (PSO), can efficiently deal with the new challenges compared to conventional optimization techniques. This thesis presents applications of discrete PSO in two specific environments. The first one is for day-ahead optimal scheduling of the reconfigurable gird with distributed energy resources. The second one is a two-step method for rapid reconfiguration of shipboard power system. Effective techniques, such as graph theory, optimal power flow and heuristic mutation, are employed to make the PSO algorithm more suitable to application environments and achieve better performance.

URI

https://hdl.handle.net/11668/17093

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