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Optimization problems on integrated natural gas and electricity generation and transmission expansion planning
Akgun, Ahmet
Akgun, Ahmet
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2018-05
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Electronic dissertations
Electronic dissertations
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Abstract
This study investigates several optimization problems on power network investment
planning problems. The first paper provides a detailed literature review for long-term strategic
electricity expansion planning (EEP) problems. The reviewed studies clustered under four
categories: Generation, Transmission and Natural Gas Pipeline Expansion Planning, and
Integrated considering these three studies in a single problem. The second paper is about integrated
electricity and natural gas network long-term investment planning problem. The developed model
specifically incorporates electricity generation, transmission and natural gas pipeline network in a
single problem. The integrated problem considers renewable energy penetration to the existing
power network and the supply fluctuation of the renewable energy resources. The third study
proposes a mathematical model that provides a unique multi-objective mathematical model for
integrated electricity and natural gas problem that includes overall network cost, environmental
impacts, fuel cost risk factor and amount of imported fuel as objectives. A two-stage solution
approach developed to find the most preferred solution considering the four conflicting objectives.
In the fourth study, a mathematical model developed to select the best technology for the electricity
energy storage (EES) units by using data envelopment analysis (DEA). EES units can be used to
overcome the fluctuation of power production in renewable energy resources. The proposed study
provides decision makers (DM) to make an initial decision for the EES units instead of considering
all available EES technologies.
The goal in this dissertation is to provide DM’s in power network field better insights for
both power network expansion planning problems and efficiency evaluations of EES units. Both
of these problems can be applied to any network and EES technologies.
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Thesis (Ph.D.)-- Wichita State University, College of Engineering, Dept. of Industrial, Systems and Manufacturing Engineering
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Wichita State University
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Copyright 2018 by Ahmet Akgun All Rights Reserved