
Load–frequency control in microgrids using target‐adjusted MPC
Author(s) -
Banis Frederik,
Guericke Daniela,
Madsen Henrik,
Poulsen Niels Kjølstad
Publication year - 2020
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2019.0487
Subject(s) - model predictive control , control theory (sociology) , control (management) , controller (irrigation) , optimal control , computer science , automatic frequency control , mathematical optimization , mathematics , artificial intelligence , telecommunications , agronomy , biology
Model predictive control (MPC) has been applied in multiple ways to the load–frequency control problem. In this study, the authors illustrate and compare a target‐adjusted MPC to a classical MPC formulation. The target‐adjusted approach is also posed as optimal control law. The target‐adjusted MPC is an alternative formulation that incorporates the system equilibrium into the control objective. The alternative derived controller can be used as substitute for classical MPCs.