Model-Based Latency Compensation for Network Controlled Modular Multilevel Converters

Abstract

The use of an internal digital communication network enhances the scalability, implementation and maintenance of Modular Multilevel Converters (MMC). However, it also introduces delays that limit the sampling frequency and the controller dynamic performance. In this paper, we propose a model-based predictor to compensate for the loop delay and overcome these limitations. Two benefits of this approach are possible: either designers can increase the sampling rate and control performance or employ a slower communication protocol/technology. In this paper, we present the mathematical description of the model-based predictor, assess the parameter sensitivity, and show matching simulation and experimental results that validate it. As constraints introduced by the use of digital communications are overcome, the results achieved encourage engineers to adopt a network into the design of Modular Multilevel Converters.