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现代配电系统的弹性指标(计算机博士毕业论文英文参考资料).pdf
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现代社会越来越依赖关键基础设施的运作。它被认为如此重要,以至于它的丧失能力或破坏将对全球经济、国家安全以及公共卫生和安全产生破坏性影响。电力系统具有独特的定位,因为它对于关键基础设施的所有其他部门按预期运行至关重要。然而,由于自然灾害、气候变化、基础设施老化和网络威胁等因素,它一直处于危险之中。因此,确保高效和持续的电力供应至关重要,也是本论文的主题。 本论文的工作涵盖两个主要主题;首先,识别对控制系统的潜在网络威胁,其次,建立弹性框架的基础,以确保电网中的持续电力供应。 技术进步导致数字仪器和计算控制通过通信网络集成。这导致了系统响应更快、更精确、更可靠和更高效。但是,它们被集成到运营技术中,而没有必要的安全防御。除非通过控制系统的结构分析来识别安全威胁,否则不可能设计有效的分层安全防御。出于这个原因,攻击者的观点是必要的侦察工作,以收集开发复杂攻击所需的系统动态细节。提出了一种侦察方法,该方法使用系统的输入和输出数据来推断系统的动态模型。为此,提出了一种针对恒定设定点控制系统中控制器比例-积分-微分增益值的新型网络攻击。这些发现将帮助研究人员设计更安全的控制系统。
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A RESILIENCE METRIC FOR MODERN POWER
DISTRIBUTION SYSTEMS
A dissertation
submitted in partial fulfillment
of the requirements for the degree of
Doctor of Philosophy in Computing
Boise State University
December 2020
by
Tyler Bennett Phillips
© 2020
Tyler Bennett Phillips
ALL RIGHTS RESERVED
BOISE STATE UNIVERSITY GRADUATE COLLEGE
DEFENSE COMMITTEE AND FINAL READING APPROVALS
of the dissertation submitted by
Tyler Bennett Phillips
Dissertation Title: A Resilience Metric for Modern Power Distribution Systems
Date of Final Oral Examination: 11 December 2020
The following individuals read and discussed the dissertation submitted by student
Tyler Bennett Phillips, and they evaluated the students presentation and response to
questions during the final oral examination. They found that the student passed the
final oral examination.
Chair, Supervisory Committee
Co-Chair, Supervisory Committee
Member, Supervisory Committee
Hoda Mehrpouyan, Ph.D.
John Gardner, Ph.D.
Amit Jain, Ph.D.
Stephen Reese, P.E.
External Member, Supervisory Committee
The final reading approval of the dissertation was granted by Hoda Mehrpouyan
Ph.D., Chair of the Supervisory Committee. The dissertation was approved by the
Graduate College.
DEDICATION
to my family
iv
ACKNOWLEDGMENT
It is with great pleasure that I express my deepest gratitude and appreciation to my
advisors, Dr. Hoda Mehrpouyan and Dr. John Gardner, for their continuous support
and endless commitment during this incredible endeavor of studies and research. All
the achievements I have reached would not have been possible without their support,
motivation, immense knowledge, and guidance throughout the entire process. I truly
cannot thank them enough for their everlasting help and generous advice along the
way.
Additionally, I need to show my sincerest appreciation to Dr. Craig Reiger and
Timothy McJunkin at Idaho National Laboratory (INL). They have both been in-
credible mentors, I have learned so much from their guidance during my graduate
fellowship at INL. The experience has been very beneficial to me, having been ex-
posed to several areas of study. I have certainly learned numerous valuable skills
that will help me throughout my career. Thank you Dr. Reiger for the incredible
opportunity of being a graduate fellow at INL.
I am also very grateful to rest of my defense committee, Dr. Amit Jain and Stephen
Reese. Their assistance and the time they have spent to improve the research covered
in this dissertation is appreciated so much.
I also need to send a special thanks to all the co-authors of the work covered in
this dissertation that I have not yet thanked. Thanks to those who contributed to the
v
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