A novel model predictive control for distributed generation system under off-grid operation mode
A novel model predictive control for distributed generation system under off-grid operation mode
- Author(s): Jintao Guo and Tao Jin
- DOI: 10.1049/cp.2020.0003
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- Author(s): Jintao Guo and Tao Jin Source: 2020 Tsinghua - HUST-IET Electrical Engineering Academic Forum, 2020 page ()
- Conference: 2020 Tsinghua - HUST-IET Electrical Engineering Academic Forum
- DOI: 10.1049/cp.2020.0003
- ISBN: 978-1-83953-391-4
- Location: Beijing, China
- Conference date: 10-11 May 2020
- Format: PDF
In this paper, a multi-step model predictive control strategy considering delay compensation and modelling error compensation is proposed. The main idea of this strategy is to improve the power quality of off-grid inverters under unbalanced load conditions and enable the control system to have excellent dynamic performance in response to the load changes. In order to solve the problem of the conventional single-step model predictive control strategy, this paper uses a multi-step model predictive control strategy to improve the output power quality of the inverter. At the same time, in view of the problem of errors between the prediction model and the actual system, this paper proposes to add a PI correction feedback mechanism to effectively reduce the impact of modeling errors. The proposed control strategy was verified by building a three-level off-grid inverter control system. The simulation results show that the control strategy proposed in this paper can effectively improve the output power quality of the inverter, and at the same time has excellent dynamic performance to cope with sudden changes in load.
Inspec keywords: invertors; power grids; distributed power generation; predictive control; feedback; PI control; power system control; error compensation
Subjects: Electric actuators and final control equipment; Power system control; Distributed power generation; DC-AC power convertors (invertors); Optimal control; Control of electric power systems
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