Open AccessModel predictive control strategy for a solar‐based series‐resonant inverter in domestic heating
Author(s) -
Nawaz M.,
Saqib M.A.,
Kashif S.A.R.
Publication year - 2017
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.2016.4703
Subject(s) - series (stratigraphy) , model predictive control , inverter , control theory (sociology) , control (management) , electronic engineering , computer science , engineering , electrical engineering , artificial intelligence , voltage , paleontology , biology
The model predictive control (MPC) technique for a solar‐based series‐resonant inverter conventionally used in domestic heating is explored. The photovoltaic energy system (PVES) converts the solar energy into electrical energy where DC voltages of different cells are linked at a common bus. A Cuk‐converter is used to interface the PVES with the DC load bus and the heating inverter. These heating inverters are replacing gas cookers in restaurants, guest rooms, and domestic‐ and commercial‐kitchens for cooking of various foods. A number of control algorithms have been employed to control the power of the heating inverter but they have certain limitations; especially they do not predict the future response of the circuit. The MPC, an advanced control approach, has the potential to estimate the future behaviour of the model in a predictive manner. Hence, to control the power of the resonant inverter connected with a 3.36 kW heating load, MPC is applied. The simulation results verify the validity of the power control of a solar‐based series‐resonant inverter using the MPC algorithm.