A Novel Optimal Modulation Strategy for Modular Multilevel Converter Based HVDC Systems

TL;DR

This paper introduces a new modulation algorithm for modular multilevel converters in HVDC systems that reduces switching frequency by optimizing control objectives and constraints, improving efficiency and reliability.

Contribution

A novel constrained multi-objective optimization modulation strategy for MMCs that balances voltage regulation and switching frequency reduction.

Findings

Reduced switching frequency in MMC operation.

Validated performance improvements in a seven-level MMC-HVDC system.

Enhanced controllability through constraint variation.

Abstract

Unlike conventional converters, modular multilevel converter (MMC) has a higher switching frequency -- which has direct implication on important parameters like converter loss and reliability -- mainly due to increased number of switching components. However, conventional switching techniques, where submodule sorting is just based on capacitor voltage balancing, are not able to achieve switching frequency reduction objective. A novel modulation algorithm for modular multilevel converters (MMCs) is proposed in this paper to reduce the switching frequency of MMC operation by defining a constrained multi-objective optimization model. The optimized switching algorithm incorporates all control objectives required for the proper operation of MMC and adds new constraints to limit the number of submodule switching events at each time step. Variation of severity of the constraints leads to a desired level of controllability in MMC switching algorithm to trade-off between capacitor voltage regulation and switching frequency reduction. Finally, performance of the proposed algorithm is validated against a seven-level back-to-back MMC-HVDC system under various operating conditions.