Abstract
This paper proposes an enhanced finite control set model predictive control (FCS-MPC) strategy for voltage source converter (VSC) with a LC output filter. The proposed control scheme is based on tracking the voltage reference trajectory by using only a single-step prediction within the controller horizon. Besides, the suitability of different frequency control schemes with the proposed scheme to prevent from inherent variable switching behaviour of conventional FCS-MPC is investigated. Based on that, the proposed method targets two major factors influencing power quality in grid forming applications by enhancing the output voltage harmonic distortion and also preventing variable switching behaviour of FCS-MPC. Although compared to multi-step prediction approaches, only a single-step multi-objective cost function to improve computation efficiency is utilized, the introduced control schemes are able to deliver higher power quality compared to its counterpart methods as well. Furthermore, the effect of different applied cost functions on the transient response of the system is studied and investigated for the future use of the VSC in microgrids (MGs). The effectiveness of the proposed scheme was assessed by simulation using MATLAB/SIMULINK and experiment using a 5.5 kVA VSC module and the results were in good agreement.
Highlights
The concept of microgrids (MGs) has received considerable attention owing to its potential to serve as an alternative power source utilizing unconventional sources interfaced by the power converters, or supplying power to the critical loads in the main grid in case of networks failure [1].MGs are an agglomeration of distributed energy systems, working in low-voltage, and provide heat or power or combined heat and power (CHP) to a particular area
Above, finite control set model predictive control (FCS-MPC) enabled simplicity and ease of including the constraints and non-linearities, and it (c) and grid-connected has been proposed to be applied in many applications such as electrical drives power electronic systems [20,21]. These promising results were achieved because of the general concept of FCS-MPC, which is based on the principle of using a discrete model of the power converter with an associated filter to predict its future behaviour for all possible control inputs and, apply the one that minimizes a programmed cost function (CF) at every sampling time [17]
The P-Improved MPC (IMPC) has around 5% reduction in the active power fluctuation comparing to the P-CMPC, which is a significant outcome compared to the Notch filter control using the improved CF (N-IMPC)
Summary
The concept of microgrids (MGs) has received considerable attention owing to its potential to serve as an alternative power source utilizing unconventional sources interfaced by the power converters, or supplying power to the critical loads in the main grid in case of networks failure [1]. Above, FCS-MPC enabled simplicity and ease of including the constraints and non-linearities, and it (c) and grid-connected has been proposed to be applied in many applications such as electrical drives power electronic systems [20,21] These promising results were achieved because of the general concept of FCS-MPC, which is based on the principle of using a discrete model of the power converter with an associated filter to predict its future behaviour for all possible control inputs and, apply the one that minimizes a programmed cost function (CF) at every sampling time [17] (see Figure 2). Power circuit and FCS-MPC control structure of a standalone inverter for microgrid applications
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