Open AccessPredictive function control in tertiary level for power flow management of DC microgrid clusters
Author(s) -
Liu Sucheng,
Liu Rui,
Zheng Jiazhu,
Liu Xiaodong
Publication year - 2020
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2020.0108
Subject(s) - microgrid , model predictive control , control theory (sociology) , power (physics) , power control , voltage , computer science , function (biology) , transfer function , control (management) , engineering , electrical engineering , physics , quantum mechanics , artificial intelligence , evolutionary biology , biology
Tertiary control is the highest level in hierarchical control of microgrids to perform power exchange between the microgrid and external networks. In this Letter, a tertiary control strategy based on predictive function control (PFC) is proposed to manage power flow in DC microgrid (DCMG) clusters. Unlike linear PI control suitable for single‐input and single‐output systems, the PFC strategy is a nonlinear control method and capable of multiple input and multiple output control tasks with multiple objectives optimisation on‐line. By solving the cost function in the finite receding horizon, voltage set points are computed in real‐time to create bus voltage difference for power transfer between interconnected DCMGs. The PFC‐based tertiary control for the DCMG cluster is verified through simulations.