Design of a Three Phase Active Power Filter Based on a Predictive Controller in an Islanded Solar Micorigrid in the Presence of Nonlinear and Sensitive Loads
Year: 2026
Type: dissertation
Abstract: Today, the issue of power quality in power systems has become more important than before due to technical and economic issues. The use of electronic power elements in the structure of renewable systems, as well as the increase of consumers who inject harmonic currents into the network, are among the things that can be investigated in the issue of power quality. In the upcoming thesis, the discussion of power quality in an island microgrid that feeds sensitive and harmonic loads with the use of solar panels is discussed, and while simultaneously using the microgrid grid converter as an active filter converter, it has predictive controller properties in removing Cascading loops of traditional PI current controllers and modulator targets have been used; As a result, the dynamic speed has increased and the quality of the provided power has improved. Also, at the same time, a Bridgeless PFC power factor rectifier has been used in order to prevent excessive contamination of other parts of the system with harmonics by correcting the waveform near the load, using an active filter and as a result of injection of the current, switching, and conduction losses of the bridgeless PFC converter reduced and the system efficiency and the achievement of the waveform with minimum THD increased. Since one of the shortcomings of the predictive controller is the high volume of calculations and the need for expensive hardware, 1D-CNN is used in a part of the thesis along with MPC. The challenge is that the 1D-CNN structure is fixed, while the control system must be able to track dynamic changes. To solve this problem, in this thesis, the dynamic training process is used to adjust the training weights and design a 1D-CNN dynamic weight structure. For this purpose, first, traditional MPC is used to provide a data set under the condition of full monitoring capability, and second, the generated data set is used to train the MPC control system based on deep structure. At the end, dynamic weighted MPC control based on deep structure is applied and the superiority of the proposed control system method is confirmed through a comparative study with traditional MPC with several shallow and deep modes for systems connected to linear and non-linear loads. Similarly, the above is repeated for a DC-DC converter. The simulation results in the MATLAB/SIMULINK software environment show the optimal performance of the proposed method in achieving the desired goal.
Source: Test
Author: Rasoulian, Amin
Language: Persian
Topic: Power Quality and Harmonics
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,190
OpenAlex ID: W7219017130