Electrical engineering, Ecole Polytechnique Voltage Source Converter (VSC) technologies present a bright opportunity in a variety of fields within the power system industry. New Modular Multilevel Converters (MMCs) are expected to supersede two-and three-level VSC-based technologies for HVDC applications due to their recognized advantages in terms of scalability, performance and efficiency. Computational burden introduced by detailed modeling of MMC-HVDC systems in EMT-type programs complicates the study of transients especially when such systems are integrated into a large network. This paper presents a novel average-value model (AVM) for efficient and accurate representation of a detailed MMC-HVDC system. It also develops a detailed 401-level MMC-HVDC model for validating the AVM and studies the performance of both models when integrated into a large 400 kV transmission system in Europe. The results show that the AVM is significantly more efficient while maintaining its accuracy for the dynamic response of the overall system.
Electrical engineering, Polytechnique Modular multilevel converters (MMCs) may contain numerous IGBTs. The modeling of such converters for electromagnetic transient type (EMT-type) simulations is complex. Detailed models used in MMC-HVDC simulations may require very large computing times. Simplified and averaged models have been proposed in the past to overcome this problem. In this paper existing averaged and simplified models are improved in order to increase their range of applications. The models are compared and analyzed for different transient events on a MMC-HVDC system.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.