Effects of low carbon emission generation and energy storage on greenhouse gas emissions in electric power systems
type: CreativeWork
description: The electric power industry produces substantial amounts of carbon dioxide (CO2) as well as other greenhouse gas (GHG) emissions. Recent GHG regulations along with renewable portfolio standards encourage the integration of low carbon emission generation into the electric power system and, as a result, drastically affect operations, design, and planning of the electric power system. Extensive studies on this issue, therefore, are important. This dissertation first discusses renewable standards and policies in the United States (U.S.), which include renewable portfolio standards. Current U.S. electricity markets for renewable generators such as wind generation resources and solar power plants are investigated. This research analyzes several factors that affect an electric power system due to the integration of these low carbon generators. The dissertation then develops system operating cost models for renewable generation and energy storage. With consideration of CO2 emission costs, the system operating cost model for a fossil-fired generating unit is presented and discussed. By using optimal power flow, security-constrained optimal power flow, time step series input, and the CO2 emissions incorporated objective function, this dissertation develops a new methodology to study the effects of low carbon emission generation and energy storage on GHG emissions in electric power systems. A number of relevant study cases are presented. The cost models and methodology are applied to the study cases. The IEEE 24 bus Reliability Test System (IEEE RTS) is used as the sample test system. This system has been modified to include additional generation fuels to study the amount of various CO2 emissions. vii Simulation results, including system operating costs, total emissions, economic dispatch, and locational marginal prices, are presented and discussed. This dissertation addresses two major issues: system operating cost and system reliability. Finally, conclusions are drawn and di…
abstract: The electric power industry produces substantial amounts of carbon dioxide (CO2) as well as other greenhouse gas (GHG) emissions. Recent GHG regulations along with renewable portfolio standards encourage the integration of low carbon emission generation into the electric power system and, as a result, drastically affect operations, design, and planning of the electric power system. Extensive studies on this issue, therefore, are important. This dissertation first discusses renewable standards and policies in the United States (U.S.), which include renewable portfolio standards. Current U.S. electricity markets for renewable generators such as wind generation resources and solar power plants are investigated. This research analyzes several factors that affect an electric power system due to the integration of these low carbon generators. The dissertation then develops system operating cost models for renewable generation and energy storage. With consideration of CO2 emission costs, the system operating cost model for a fossil-fired generating unit is presented and discussed. By using optimal power flow, security-constrained optimal power flow, time step series input, and the CO2 emissions incorporated objective function, this dissertation develops a new methodology to study the effects of low carbon emission generation and energy storage on GHG emissions in electric power systems. A number of relevant study cases are presented. The cost models and methodology are applied to the study cases. The IEEE 24 bus Reliability Test System (IEEE RTS) is used as the sample test system. This system has been modified to include additional generation fuels to study the amount of various CO2 emissions. vii Simulation results, including system operating costs, total emissions, economic dispatch, and locational marginal prices, are presented and discussed. This dissertation addresses two major issues: system operating cost and system reliability. Finally, conclusions are drawn and di…
author: Poonpun, Piyasak
date published: 2009-05
date modified: 2026-07-24T06:05:48Z
provider: Wichita State University
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Wichita State University