ASU Electronic Theses and Dissertations
This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.
In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.
Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at email@example.com.
- 4 English
- 4 Public
- Electrical engineering
- 2 Energy
- 2 Smart Grid
- 1 Algorithm
- 1 DCOPF & Loss Approximation for the DCOPF
- 1 Decomposition
- 1 Distribution-Class Locational Marginal Price
- 1 Electric Power Distribution System
- 1 Electric Power Transmission System
- 1 Mathematical Programming
- 1 Operations research
- 1 Optimization
- 1 Power system engineering
- 1 Price Responsive Load Modeling
- 1 State estimation
- 1 Transmission planning
- 1 control
- 1 distribution systems
- 1 power system operations
- 1 power system reliability
- 1 power system stability
- 1 power systems
- 1 reliability
- 1 renewable generation
- 1 robust optimization
- 1 topology control
Corrective transmission topology control schemes are an essential part of grid operations and are used to improve the reliability of the grid as well as the operational efficiency. However, topology control schemes are frequently established based on the operator's past knowledge of the system as well as other ad-hoc methods. This research presents robust corrective topology control, which is a transmission switching methodology used for system reliability as well as to facilitate renewable integration. This research presents three topology control (corrective transmission switching) methodologies along with the detailed formulation of robust corrective switching. The robust model can be solved off-line …
- Korad, Akshay Shashikumar, Hedman, Kory W, Ayyanar, Raja, et al.
- Created Date
The smart grid initiative is the impetus behind changes that are expected to culminate into an enhanced distribution system with the communication and control infrastructure to support advanced distribution system applications and resources such as distributed generation, energy storage systems, and price responsive loads. This research proposes a distribution-class analog of the transmission LMP (DLMP) as an enabler of the advanced applications of the enhanced distribution system. The DLMP is envisioned as a control signal that can incentivize distribution system resources to behave optimally in a manner that benefits economic efficiency and system reliability and that can optimally couple the …
- Akinbode, Oluwaseyi Wemimo, Hedman, Kory W, Heydt, Gerald T, et al.
- Created Date
Transmission expansion planning (TEP) is a complex decision making process that requires comprehensive analysis to determine the time, location, and number of electric power transmission facilities that are needed in the future power grid. This dissertation investigates the topic of solving TEP problems for large power systems. The dissertation can be divided into two parts. The first part of this dissertation focuses on developing a more accurate network model for TEP study. First, a mixed-integer linear programming (MILP) based TEP model is proposed for solving multi-stage TEP problems. Compared with previous work, the proposed approach reduces the number of variables …
- Zhang, Hui, Vittal, Vijay, Heydt, Gerald T, et al.
- Created Date
The Smart Grid initiative describes the collaborative effort to modernize the U.S. electric power infrastructure. Modernization efforts incorporate digital data and information technology to effectuate control, enhance reliability, encourage small customer sited distributed generation (DG), and better utilize assets. The Smart Grid environment is envisioned to include distributed generation, flexible and controllable loads, bidirectional communications using smart meters and other technologies. Sensory technology may be utilized as a tool that enhances operation including operation of the distribution system. Addressing this point, a distribution system state estimation algorithm is developed in this thesis. The state estimation algorithm developed here utilizes distribution …
- Haughton, Daniel Andrew, Heydt, Gerald T, Vittal, Vijay, et al.
- Created Date