Title page for etd-0703112-135015


[Back to Results | New Search]

URN etd-0703112-135015
Author Ivan Curtis Martinez
Author's Email Address jds_martinez@yahoo.com
Statistics This thesis had been viewed 5350 times. Download 856 times.
Department Electrical Engineering
Year 2011
Semester 2
Degree Master
Type of Document
Language English
Title Utilizing Energy Storage System to Improve Power System Vulnerability
Date of Defense 2012-06-13
Page Count 78
Keyword
  • Vulnerability Improvement
  • Vulnerability Assessment
  • Impact Factor
  • Energy Storage System
  • Bus Impact Severity Analysis
  • Genetic Algorithm (GA)
  • Abstract In this thesis, security measures and vulnerability mitigation are mainly addressed. How to improve the system vulnerability is one of the main issues for power system operation and planning. Recent research revealed that Energy Storage Systems (ESSs) have a great potential to be used to improve system vulnerability. A vulnerability assessment is proposed in this thesis to identify the impact factors in the power systems due to generation outage and line outage. A Bus Impact Severity (BIS) analysis is then proposed and used to find the vulnerable buses in the system. The buses with the larger BIS value defined in this thesis are the better locations for ESSs placement. Formulations for optimal locations and capacities of ESSs placement are derived and then solved by Genetic Algorithm (GA). Test results show that the proposed method can be used to find the optimal locations and capacities for ESSs for system vulnerability improvement.
    Advisory Committee
  • Cheng-Ting Hsu - chair
  • Chun-Lien Su - co-chair
  • Shih-Chieh Hsieh - co-chair
  • Jen-Hao Teng - advisor
  • Files
  • etd-0703112-135015.pdf
  • Indicate in-campus at 1 year and off-campus access at 1 year.
    Date of Submission 2012-07-03

    [Back to Results | New Search]


    Browse | Search All Available ETDs

    If you have more questions or technical problems, please contact eThesys