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Analysis and Stability of Modern Power Systems Using High Fidelity Modeling
Analysis and Stability of Modern Power Systems Using High Fidelity Modeling
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202105104
- ISBN
- 9798293893232
- DDC
- 621
- 서명/저자
- Analysis and Stability of Modern Power Systems Using High Fidelity Modeling
- 발행사항
- [Sl] : University of California, Berkeley, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 89 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-04, Section: B.
- 주기사항
- Advisor: Callaway, Duncan S.;Tomlin, Claire J.
- 학위논문주기
- Thesis (Ph.D.)--University of California, Berkeley, 2025.
- 초록/해제
- 요약Modern power systems are undergoing large changes in their physical behavior. Fossil fuel-based generation is rapidly being replaced by renewable and storage energy sources, which are connected to the grid via power electronic devices called converters. These devices behave drastically different than synchronous generators powered by fossil fuels. Further, with trends in electrification, many new devices at the electricity consumer level are also in the form of power electronics. The combination of these two trends has meant that many new devices that have not been previously studied in detail in a power systems context are making their way onto the grid.This thesis addresses questions that enhance our understanding of grid behavior when these new power electronics devices are being interconnected. In particular, we use different modeling approaches at the different power system levels, i.e., generation, transmission, and load, to draw conclusions on how the incorporation of these devices affect power system behaviors.On the generation level, we model converters using a hybrid systems modeling approach and arrive at the first globally asymptotically stabilizing switching control law for sinusoidal reference tracking of inverters. At the transmission level, we model transmission lines with different degrees of fidelity showing that the standard π topology modeled with differential equations is a suitable model to use when performing both small signal and dynamic simulation analyses of power systems. At the load level, we propose ZIP-E loads, a new modeling framework which builds on the industry standard ZIP load to capture the dynamic behavior introduced by power electronic loads. We find that when using load models that capture power electronic loads' dynamic behavior small signal stability holds for a larger and heavier range of network loading conditions. We also find that transient responses are generally more damped for systems with dynamic power electronic load models. Lastly, we study abc- and dq-frame modeling for power systems. In particular, due to a lack of clarity in the literature, we derive precise relationships between signals in the different reference frames that allow us to make specific one-to-one conclusions between results in abc and dq frames. This allows us to precisely use dq models to arrive at abc conclusions.
- 일반주제명
- Energy
- 일반주제명
- Engineering
- 일반주제명
- Computer science
- 일반주제명
- Electrical engineering
- 키워드
- High fidelity
- 키워드
- Power systems
- 키워드
- Simulations
- 키워드
- Fossil fuels
- 기타저자
- University of California, Berkeley Electrical Engineering & Computer Sciences
- 기본자료저록
- Dissertations Abstracts International. 87-04B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520260202105104
■006m o d
■007cr#unu||||||||
■020 ▼a9798293893232
■035 ▼a(MiAaPQ)AAI32236497
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a621
■1001 ▼aColon Reyes, Gabriel E.
■24510▼aAnalysis and Stability of Modern Power Systems Using High Fidelity Modeling
■260 ▼a[Sl]▼bUniversity of California, Berkeley▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a89 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-04, Section: B.
■500 ▼aAdvisor: Callaway, Duncan S.;Tomlin, Claire J.
■5021 ▼aThesis (Ph.D.)--University of California, Berkeley, 2025.
■520 ▼aModern power systems are undergoing large changes in their physical behavior. Fossil fuel-based generation is rapidly being replaced by renewable and storage energy sources, which are connected to the grid via power electronic devices called converters. These devices behave drastically different than synchronous generators powered by fossil fuels. Further, with trends in electrification, many new devices at the electricity consumer level are also in the form of power electronics. The combination of these two trends has meant that many new devices that have not been previously studied in detail in a power systems context are making their way onto the grid.This thesis addresses questions that enhance our understanding of grid behavior when these new power electronics devices are being interconnected. In particular, we use different modeling approaches at the different power system levels, i.e., generation, transmission, and load, to draw conclusions on how the incorporation of these devices affect power system behaviors.On the generation level, we model converters using a hybrid systems modeling approach and arrive at the first globally asymptotically stabilizing switching control law for sinusoidal reference tracking of inverters. At the transmission level, we model transmission lines with different degrees of fidelity showing that the standard π topology modeled with differential equations is a suitable model to use when performing both small signal and dynamic simulation analyses of power systems. At the load level, we propose ZIP-E loads, a new modeling framework which builds on the industry standard ZIP load to capture the dynamic behavior introduced by power electronic loads. We find that when using load models that capture power electronic loads' dynamic behavior small signal stability holds for a larger and heavier range of network loading conditions. We also find that transient responses are generally more damped for systems with dynamic power electronic load models. Lastly, we study abc- and dq-frame modeling for power systems. In particular, due to a lack of clarity in the literature, we derive precise relationships between signals in the different reference frames that allow us to make specific one-to-one conclusions between results in abc and dq frames. This allows us to precisely use dq models to arrive at abc conclusions.
■590 ▼aSchool code: 0028.
■650 4▼aEnergy
■650 4▼aEngineering
■650 4▼aComputer science
■650 4▼aElectrical engineering
■653 ▼aHigh fidelity
■653 ▼aPower systems
■653 ▼aSimulations
■653 ▼aFossil fuels
■690 ▼a0791
■690 ▼a0537
■690 ▼a0984
■690 ▼a0544
■71020▼aUniversity of California, Berkeley▼bElectrical Engineering & Computer Sciences.
■7730 ▼tDissertations Abstracts International▼g87-04B.
■790 ▼a0028
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17359338▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.


