Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/18958
Title: LINEAR PROGRAMMING BASED OPTIMAL POWER FLOW
Other Titles: التدفق الأمثل للقدر ة الكهربائي ة ب ناءا على إستخدام البرمج ة الخطي ة
Authors: Abdulatif, Momen Ahmed Dahab
Supervisor, -Elfadil Zakaria Yahia
Keywords: Electrical Engineering (Power
POWER FLOW
Issue Date: 4-May-2017
Publisher: Sudan University of Science And Technology
Citation: Abdulatif, Momen Ahmed Dahab .LINEAR PROGRAMMING BASEMomen Ahmed Dahab Abdulatif ;-Elfadil Zakaria Yahia ..-khertoum:Sudan University of Science And Technology,2017.-104p:ill;28cm-M.Sc.D OPTIMAL POWER FLOW /
Abstract: The Optimal Power Flow Problem is a large and complicated non-linear optimization problem in power system transmission, design, planning and operation subjected to various types of constraints. This research focuses on the understanding of Optimal Power flow (OPF) using Linear programming (LP) optimization method, firstly, the OPF problem is discussed in a literature manner in view of the historical review, problem formulation and the different methods that used in order to solve the OPF problem, then a detailed illustration of LP as an optimization tool, likewise, Linear programming Optimal Power Flow (LPOPF) using Piecewise linear approach and the full AC Incremental LP method illustration and mathematical formulation was presented, moreover a conceptual review of reactive power pricing and a proposed formulation of including the VAR cost function to the objective function was presented, lastly, a brief illustration about the Locational Marginal Prices (LMPs) and an implementation of both methods using POWERWORLD Simulator and Microsoft Excel on the 6-bus test system using step by step procedure and the IEEE 30 bus system was made, and then a comparison between both methods before and after the OPF and before and after the inclusion of the VAR cost function was presented
Description: Thesis
URI: http://repository.sustech.edu/handle/123456789/18958
Appears in Collections:Masters Dissertations : Engineering

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