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Modeling and Simulation of Power System with High Penetration of Inverter-Based Resources
Modeling and Simulation of Power System with High Penetration of Inverter-Based Resources
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202105603
- ISBN
- 9798265403735
- DDC
- 005
- 저자명
- Cai, Siyao.
- 서명/저자
- Modeling and Simulation of Power System with High Penetration of Inverter-Based Resources
- 발행사항
- [Sl] : Georgia Institute of Technology, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 156 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-05, Section: B.
- 주기사항
- Advisor: Meliopoulos, A. P.
- 학위논문주기
- Thesis (Ph.D.)--Georgia Institute of Technology, 2024.
- 초록/해제
- 요약In the past decade, the penetration of inverter-based resources (IBR) in the power system increased significantly with the increasing deployment of renewable energy sources, such as PV and Wind in the grid. Many challenges emerged in the transition from the conventional power system dominated by synchronous generators (SGs) to the inverter-dominated power system. Due to the reduction of system inertia, the power system performance changed dramatically in terms of reliability, stability, and resilience at high IBR-penetration. More specifically, the bidirectional power flow in modern distribution systems with high penetration of IBRs and its associated low fault current contribution from IBRs make the conventional protection schemes unreliable. Another complex problem is to fully operate a distribution system using only inverters and support a typical load that consists of mainly electric motors. Especially the start of induction motor requires large reactive power and large starting currents, which is a challenging operation condition for GFM inverters. In future distribution systems with high IBR penetration, system protection and supporting of complex loads such as induction motors are two of the major challenges to be solved.Grid-forming inverters are typically dependent on energy storage to perform their controls in terms of starting a grid with its typical load. Therefore, BESS is an integral and required part of a system with high penetration of IBRs. This requirement is also important for addressing the intermittent generation of renewable generation like wind and solar. BESS stores surplus energy generated during peak hours and supplies electricity when renewable generations are insufficient. However, it is still unclear how the performance of the BESS changes over time. Understanding and predicting the State of Charge (SoC) and State of Health (SoH) helps optimize the BESS performance and longevity. An accurate SoC estimation also helps increase grid stability by providing power to the grid at the most needed time. The SoH prediction indicates when maintenance or replacement is needed, which increases system safety. Therefore, state prediction and estimation of BESS becomes very important to large timescale simulation of inverter-dominated power systems.This dissertation introduces my research work on modeling and simulation of high IBR-penetration power systems. Grid-forming (GFM) inverter, as the critical device in IBR-dominated system, is modelled in quasi-dynamic domain and protected using the dynamic state estimation-based protection (EBP). The EBP method is evaluated in a Hardware-in-Loop (HIL) test and in a real-world PV-integrated distribution system, proving its effectiveness in detecting faults within non-radial distribution systems with bidirectional current flow as well as low fault current level.The GFM inverter is also modelled in time domain using PSCAD to study its performance and limitations in a system with up to 100% IBR-penetration. A hybrid test system containing two major parts is proposed. One part is a legacy AC section, and the other part is a 100% inverter-based system. The system stability under large-signal disturbances e.g. loss of SG during operation is evaluated in the example test system. The capability of handling large starting current during the start of induction motors in the system is also assessed. The performance of the proposed GFM inverter model is also validated in a modified IEEE 13-bus benchmark system, where the generators in the system are replaced with IBRs (PV and BESS) making the benchmark system an inverter-dominated system. Power system restoration capabilities and impacts between multiple IBRs are analyzed with the modified IEEE 13-bus test feeder. The simulation results showed the proposed GFM inverter model maintains voltage stability of the hybrid test system during the loss of SG and supports the full voltage start of the induction motor. The proposed GFM inverter is promising in supporting high IBR penetration distribution systems with complex loads at larger scales and maintains voltage stability after losing the SG.
- 일반주제명
- User interface
- 일반주제명
- Test systems
- 일반주제명
- Electricity
- 일반주제명
- Fourier transforms
- 일반주제명
- Batteries
- 일반주제명
- Systems stability
- 일반주제명
- Energy storage
- 일반주제명
- Energy resources
- 일반주제명
- Lithium
- 일반주제명
- Alternative energy
- 일반주제명
- Electrical engineering
- 일반주제명
- Mathematics
- 기본자료저록
- Dissertations Abstracts International. 87-05B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520260202105603
■006m o d
■007cr#unu||||||||
■020 ▼a9798265403735
■035 ▼a(MiAaPQ)AAI32316037
■035 ▼a(MiAaPQ)GeorgiaTech76970
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a005
■1001 ▼aCai, Siyao.
■24510▼aModeling and Simulation of Power System with High Penetration of Inverter-Based Resources
■260 ▼a[Sl]▼bGeorgia Institute of Technology▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a156 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-05, Section: B.
■500 ▼aAdvisor: Meliopoulos, A. P.
■5021 ▼aThesis (Ph.D.)--Georgia Institute of Technology, 2024.
■520 ▼aIn the past decade, the penetration of inverter-based resources (IBR) in the power system increased significantly with the increasing deployment of renewable energy sources, such as PV and Wind in the grid. Many challenges emerged in the transition from the conventional power system dominated by synchronous generators (SGs) to the inverter-dominated power system. Due to the reduction of system inertia, the power system performance changed dramatically in terms of reliability, stability, and resilience at high IBR-penetration. More specifically, the bidirectional power flow in modern distribution systems with high penetration of IBRs and its associated low fault current contribution from IBRs make the conventional protection schemes unreliable. Another complex problem is to fully operate a distribution system using only inverters and support a typical load that consists of mainly electric motors. Especially the start of induction motor requires large reactive power and large starting currents, which is a challenging operation condition for GFM inverters. In future distribution systems with high IBR penetration, system protection and supporting of complex loads such as induction motors are two of the major challenges to be solved.Grid-forming inverters are typically dependent on energy storage to perform their controls in terms of starting a grid with its typical load. Therefore, BESS is an integral and required part of a system with high penetration of IBRs. This requirement is also important for addressing the intermittent generation of renewable generation like wind and solar. BESS stores surplus energy generated during peak hours and supplies electricity when renewable generations are insufficient. However, it is still unclear how the performance of the BESS changes over time. Understanding and predicting the State of Charge (SoC) and State of Health (SoH) helps optimize the BESS performance and longevity. An accurate SoC estimation also helps increase grid stability by providing power to the grid at the most needed time. The SoH prediction indicates when maintenance or replacement is needed, which increases system safety. Therefore, state prediction and estimation of BESS becomes very important to large timescale simulation of inverter-dominated power systems.This dissertation introduces my research work on modeling and simulation of high IBR-penetration power systems. Grid-forming (GFM) inverter, as the critical device in IBR-dominated system, is modelled in quasi-dynamic domain and protected using the dynamic state estimation-based protection (EBP). The EBP method is evaluated in a Hardware-in-Loop (HIL) test and in a real-world PV-integrated distribution system, proving its effectiveness in detecting faults within non-radial distribution systems with bidirectional current flow as well as low fault current level.The GFM inverter is also modelled in time domain using PSCAD to study its performance and limitations in a system with up to 100% IBR-penetration. A hybrid test system containing two major parts is proposed. One part is a legacy AC section, and the other part is a 100% inverter-based system. The system stability under large-signal disturbances e.g. loss of SG during operation is evaluated in the example test system. The capability of handling large starting current during the start of induction motors in the system is also assessed. The performance of the proposed GFM inverter model is also validated in a modified IEEE 13-bus benchmark system, where the generators in the system are replaced with IBRs (PV and BESS) making the benchmark system an inverter-dominated system. Power system restoration capabilities and impacts between multiple IBRs are analyzed with the modified IEEE 13-bus test feeder. The simulation results showed the proposed GFM inverter model maintains voltage stability of the hybrid test system during the loss of SG and supports the full voltage start of the induction motor. The proposed GFM inverter is promising in supporting high IBR penetration distribution systems with complex loads at larger scales and maintains voltage stability after losing the SG.
■590 ▼aSchool code: 0078.
■650 4▼aUser interface
■650 4▼aTest systems
■650 4▼aElectricity
■650 4▼aFourier transforms
■650 4▼aBatteries
■650 4▼aSystems stability
■650 4▼aEnergy storage
■650 4▼aDigital signal processors
■650 4▼aAlternative energy sources
■650 4▼aEnergy resources
■650 4▼aLithium
■650 4▼aAlternative energy
■650 4▼aElectrical engineering
■650 4▼aMathematics
■690 ▼a0363
■690 ▼a0544
■690 ▼a0405
■71020▼aGeorgia Institute of Technology.
■7730 ▼tDissertations Abstracts International▼g87-05B.
■790 ▼a0078
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17360670▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.


