Model predictive control of modular multilevel converter based on fixed switch state set for offshore wind power

Abstract

AbstractThis paper aims at the problems of the traditional modular model predictive control (MPC) of modular multilevel converter (MMC) with huge computational complexity and high equivalent switching frequency. In this paper, a model predictive control method based on fixed switch state set (FSS‐MPC) is proposed. In this method, two cost functions are used to control phase current and circulating current. Meanwhile, the number of the upper and lower on‐state sub‐modules (SM) is obtained by cost functions. In order to obtain the optimal switching sequence of SM, FSS‐MPC adopts a SM capacitive voltage balancing strategy which has low sorting frequency. Under the control of the FSS‐MPC, the amount of switch combination and sorting computation are greatly reduced. In addition, the switching frequency is extremely low. Finally, to verify the effectiveness and feasibility of the proposed control strategy, a simulation system of 11‐level MMC for offshore wind power has built on the MATLAB/Simulink platform.