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Next-Generation Datacenter MV Interfaces — Will Solid-State Transformers Meet Their Waterloo?
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Ph.D. Dissertation Submitted to the Department of Energy and Electrical Engineering and the Graduate School of Tech University of Korea in partial fulfillment of the requirements for the Philosophy Degree in Engineering June 2024
Abstract
Inverter Control Strategies for a Grid Stabilizing Power-to-Gas System 전력가스화 (P2G) 시스템에서 계통 안정화를 위한 인버터 제어기법 The integration of Power-to-Gas (P2G) systems into modern power grids represents a pivotal advancement towards achieving a more sustainable and resilient energy infrastructure. However, this integration introduces both challenges and opportunities, particularly concerning grid stability and the effective incorporation of renewable energy sources. This thesis delves into the intricate dynamics of P2G system integration, with a specific focus on the role of inverter control strategies in ensuring grid stability and facilitating the seamless integration of renewable energy sources. Through an extensive review of existing literature and rigorous analysis, various control strategies tailored for P2G applications are explored, emphasizing their efficacy in addressing grid stability concerns. Key aspects examined include voltage and frequency regulation, active and reactive power control, ancillary services provision, and energy storage management. These factors are crucial for maintaining grid stability amidst the variability inherent in renewable energy generation and the intermittent nature of P2G systems. Additionally, the development and implementation of advanced control algorithms are discussed. These algorithms are designed to account for grid dynamics, renewable energy variability, and compliance with grid codes and regulations. A particular focus is placed on enhancing grid-forming capabilities within inverters, enabling autonomous operation even in weak grid conditions, thereby bolstering grid resilience.
ORIGINAL LINK:
ALTERNATIVE LINK:https://www.mediafire.com/file/wx16ob1ycexs50b/Inverter+Control+Strategies+for+a+Grid+Stabilizing+Power-to-Gas+System.pdf/file
Performance Comparison of Droop Control and Virtual Synchronous Generator (VSG) Control for Grid Forming Inverters
Advisor: Professor Minhan Yoon Submitted for the Master's Degree in Electrical Engineering July 1, 2025 Kwangwoon University Department of Electrical Engineering Thapyay Hlaing
] 그리드 포밍 인버터를 위한 드룹 제어와 가상 동기 발전기 (VSG) 제어의 성능 비교 Performance Comparison of Droop Control and VSG Control for Grid Forming Inverter 지도교수 윤민한 이 논문을 전기공학 석사학위논문으로 제출함 2025년 7월 1일 광운대학교 전기공학과 Thapyay Hlaing
ABSTRACT As the growing integration of renewable energy sources, inverter-based resources (IBRs) becoming new challenges for power system stability. This brings new contests to maintain system stability. The inverter that lacks inertia and making the grid more sensitive to disturbances, especially under weak grid conditions. The thesis offers a detailed performance comparison between droop control and VSG control for grid-forming inverters. The wide-spread simulation-based testing was conducted under various scenarios, including steady state operations, load variations, and fault conditions such as low voltage ride through (LVRT). GFM inverters with droop control effectively regulate power sharing. This provides improved system stability by proportionally adjusting frequency and voltage responses. VSG control further improves dynamic behavior by mimicking the inertia and damping characteristics of synchronous generators, resulting in smoother transitions and stronger fault response. Each control strategy was evaluated for its ability to handle power deviations, share load among multiple inverters and maintain system stability under both normal and fault conditions. Therefore, the careful selection and tuning of inverter control methods are critical to ensure balanced grid support, reliable power sharing, and fault ride- through performance. Advanced GFM control strategies such as droop and VSG will play a central role in enabling stable and resilient grid operation.
View full Thesis: ORIGINAL LINK
ALTERNATIVE LINK : https://www.mediafire.com/file/ectvrvhzxyirakk/Performance+Comparison+of+Droop+Control+and+VSG+Control+for+Grid+Forming+Inverter.pdf/file
ShanghaiTech University Online English Course: Power Electronic Converter Modeling and Control Instructor:Professor Wang Haoyu
{Haoyu Wang} (Senior Member, IEEE) received the bachelor's degree with distinguished honor in electrical engineering from Zhejiang University, Hangzhou, China, in 2009, and the Ph.D. degree in electrical engineering from the University of Maryland, College Park, MD, USA, in 2014. In September 2014, he joined the School of Information Science and Technology, ShanghaiTech University, where he is currently a Full Professor with tenure. In 2023, he was a visiting academic fellow at the University of Cambridge, UK. His research interests include power electronics, electric vehicles, renewable energy systems, and power management integrated circuits. Dr. Wang is an IET Fellow. He serves as an Associate Editor for IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, and CPSS Transactions on Power Electronics and Applications. He was a Guest Editor for IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS, and a Guest Associate Editor for IEEE TRANSACTIONS ON POWER ELECTRONICS.
CENTRALE LILLE THESE Présentée en vue d’obtenir le grade de DOCTEUR En Spécialité : Génie Électrique Par Yahya LAMRANI DOCTORAT DELIVRE PAR CENTRALE LILLE
Titre de la thèse : Localisation optimale des convertisseurs grid forming sur les réseaux de transport pour l'amélioration de la stabilité petits signaux Optimal Placement of Grid-Forming controlled Converters for Small Signal Stability Enhancement of Power Systems
Abstract The massive deployment of renewable energy sources in the context of the energy transition has brought new challenges to the power system. The integration of renewable energy is mostly achieved by means of power electronics. High Voltage DC (HVDC) links, wind and solar parks all utilize Voltage Source Converters (VSC) to connect to the power system. Conventionally, the VSCs are controlled using the Grid Following (GFL) scheme. This control mode is reported to challenge the Small-Signal Stability (SSS) of the power systems. Grid Forming (GFM) control has emerged as an alternative technology to counter the issues resulting from the increasing penetration of power electronics in modern and future power systems. This thesis aims to propose a method for estimating power system needs for GFM- controlled converters, and determining their optimal placement within the network to en- hance the system SSS. First, the stabilizing effect of GFM is highlighted; various types of GFM controls are tested under different operating points and in different networks. The stability analysis is conducted using a state-space model and then confirmed by Electromag- netic Transients (EMT) simulations. The results indicate that all GFM controls provide a stabilizing effect. However, this effect varies significantly: all things being equal, the use of a current loop in the control structure makes the GFM less stabilizing and less robust to network variations (topology, operating point, type of loads). To best exploit the established stabilizing GFM properties, an iterative methodology for placing GFM-controlled convert- ers is proposed. This approach relies on two main indicators: the Frequency Averaged Grid Impedance (FAGI) to identify the weakest system bus, and the Modal Non-Passivity In- dex (MnPI) to assess the system stability. Both tools are based on the impedance model of the network and converters, extended beyond the fundamental frequency. Using this methodology, the minimal volume of GFM converters to be installed and their placement is determined. A realistic case study is considered to test the methodology and to determine the network short- and long-term needs for GFM converters.
VIEW FULL THESIS: https://theses.hal.science/tel-04885327v1/file/Lamrani_Yahya_DLE.pdf