Multi-Functional Intelligent MMC-Based HVDC Converter

dc.contributor.authorYu, Jiaxiongen
dc.contributor.committeechairZhang, Richarden
dc.contributor.committeememberDong, Dongen
dc.contributor.committeememberHsieh, Yi-Hsunen
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2026-07-10T19:37:23Zen
dc.date.available2026-07-10T19:37:23Zen
dc.date.issued2026-05-13en
dc.description.abstractModern power systems are undergoing a transformation in which renewable generation, data centers, electric-vehicle charging, and other power-electronics-based resources increasingly shape system dynamics and stability. Under these conditions, converters can no longer be treated as simple power-processing interfaces. Instead, they must evolve into multi-functional intelligent devices capable of sensing, analyzing, and actively interacting with the grid. Modular multilevel converter based HVDC has become the dominant technology for high-voltage applications because of its efficiency, scalability, and waveform quality. However, the low switching frequency of conventional MMC submodules makes it difficult to inject controlled perturbations for broadband sensing. This thesis makes a core contribution by proposing a multi-functional intelligent MMC-based HVDC converter that embeds in-situ broadband perturbation injection capability directly into the converter. The proposed architecture replaces only a small fraction of conventional silicon half-bridge valve submodules with fast-switching silicon carbide full-bridge valve submodules, thereby adding an auxiliary high-bandwidth voltage-synthesis channel while preserving the basic structure and cost profile of a standard MMC. Building on this architecture, the thesis develops three key elements: selective perturbation injection at either the AC terminal or DC terminal by exploiting the inherent DC/AC decoupling of the MMC, a novel DC-bias valve-energy-balancing method for the auxiliary valve which preserves desired injection waveform, and least-squares-based signal-processing methods for impedance extraction in both the synchronous dq frame and the sequence domain. The proposed converter and measurement framework are validated in OPAL-RT real-time simulation using a point-to-point MMC-HVDC system. The results show that the converter can inject small perturbations while remaining close to its nominal operating condition, and that the measured AC-side and DC-side impedances agree well with analytical or benchmark references over most of the studied frequency range.en
dc.description.abstractgeneralElectric power systems are changing quickly as more renewable energy, electric vehicles, data centers, and electronically controlled devices are connected to the grid. Much of this equipment depends on power converters, which are devices that move and regulate electrical energy. These converters are efficient and fast, but they also make the grid harder to observe because more of the system behavior is determined by control software rather than by the natural behavior of large rotating machines. This thesis focuses on a high-voltage direct-current converter called a modular multilevel converter, or MMC. MMCs are widely used in modern transmission systems, but they are not naturally designed to inject the small test signals needed to measure how the surrounding grid behaves. The main contribution of this work is a modified MMC that can do both jobs: transfer power in the normal way and also generate controlled test signals for measurement. The converter is changed only slightly by adding a small number of faster switching modules. These added modules let the converter direct a test signal to either the AC side or the DC side, keep the added modules properly energized during the test, and recover the desired measurement from the recorded voltage and current signals. The method is evaluated in OPAL-RT real-time simulation using a representative HVDC system. The results show that the converter can measure both AC-side and DC-side impedance with good accuracy while staying close to its normal operating condition.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://hdl.handle.net/10919/143632en
dc.publisherVirginia Techen
dc.subjecthigh voltage direct current (HVDC)en
dc.subjectimpedance measurementen
dc.subjectmodular multilevel converter (MMC)en
dc.titleMulti-Functional Intelligent MMC-Based HVDC Converteren
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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