| URN |
etd-0703112-135015 |
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| Author |
Ivan Curtis Martinez |
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| Author's Email Address |
jds_martinez@yahoo.com |
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| Statistics |
This thesis had been viewed 5589 times. Download 905 times. |
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| Department |
Electrical Engineering |
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| Year |
2011 |
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| Semester |
2 |
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| Degree |
Master |
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| Type of Document |
|
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| Language |
English |
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| Title |
Utilizing Energy Storage System to Improve Power System Vulnerability |
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| Date of Defense |
2012-06-13 |
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| Page Count |
78 |
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| Keyword |
Vulnerability Improvement
Vulnerability Assessment
Impact Factor
Energy Storage System
Bus Impact Severity Analysis
Genetic Algorithm (GA)
|
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| 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. |
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| Advisory Committee |
Cheng-Ting Hsu - chair
Chun-Lien Su - co-chair
Shih-Chieh Hsieh - co-chair
Jen-Hao Teng - advisor
|
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| Files |
Indicate in-campus at 1 year and off-campus access at 1 year. |
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| Date of Submission |
2012-07-03 |
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