Open AccessGlobal advanced control strategy for Modular Multilevel Converter integrated in a HVDC link
Author(s) -
Ayari Mohamed,
Belhaouane Mohamed Moez,
Guillaud Xavier,
Braiek Naceur Benhadj
Publication year - 2018
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/etep.2511
Subject(s) - control theory (sociology) , linear quadratic regulator , controller (irrigation) , modular design , nonlinear system , engineering , control engineering , computer science , optimal control , control (management) , mathematics , mathematical optimization , artificial intelligence , operating system , physics , quantum mechanics , agronomy , biology
Summary Modular Multilevel Converter (MMC) is becoming a promising converter technology for high‐voltage direct current transmission systems due to its high modularity, availability, and power quality. It is a multi‐input‐multi‐output nonlinear system. The control system for MMC is required to simultaneously achieve multiple control objectives. Existing control strategies for MMC are complex and the controller parameter design is not straightforward for the nonlinear systems with highly coupled states. In view of this, a steady‐state model for the MMC is developed on bilinear deviation state‐space model around a working point. Based on linear quadratic regulator and least squares methods, a nonlinear polynomial feedback law is designed to simultaneously control the grid and differential currents, and the global stored energy and energy balancing between total upper and lower arms. To generate the optimal current references, a multivariable linear quadratic controller is used to regulate the total energy per leg, energy difference between each upper and lower arms, and the DC bus voltage. The proposed high‐level controller depicts an original advanced control structure of MMC converter. The performance of the proposed strategy for a detailed model of 400‐level MMC is evaluated using simulations in MATLAB/SIMULINK/SPS software environment.