MATLAB-Based Optimisation and Control of Distributed Energy Resources in Electric Grid

Authors : Eng. Faisal Alajmi; Eng. Hadyan Ali Alajmi

Volume/Issue : Volume 8 - 2023, Issue 9 - September

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This study delves into the integration of photovoltaic (PV) systems with the utility grid, comparing their performance with and without the implementation of a Fuzzy Logic Controller (FLC). The integration is facilitated through a meticulously designed DC-DC boost- converter system and a three-level bridge inverter, aiming to stabilize the boost voltage generated by the PV system. A comparative analysis was conducted to assess the system's performance under two distinct case: one involving the conventional controller (MPPT) and the other employing the fuzzy controller (FLC). The aim was to underscore the enhanced attributes of the fuzzy controller in effectively modulating the desired system performance. In the first case, the PV system is integrated directly into the grid with the intervention of MPPT control method. The behavior of the system is analyzed under varying conditions, highlighting voltage oscillations and potential instability issues. In the second scenario, the PV system is integrated into the grid with the inclusion of an FLC. The FLC's adaptive and intelligent control strategy is employed to manage voltage fluctuations and maintain stable grid synchronization. The controller's performance is assessed across a spectrum of operational scenarios. The comparison of system outcomes between the FLC and MPPT controllers clearly established the advantages of the FLC method in reducing output voltage oscillation, minimizing settling time, and enhancing stability. The FLC method not only matches the power optimization capabilities of the traditional MPPT technique but also provides superior control performance under various scenarios. This underscores the potential of fuzzy logic-based control strategies for efficient and robust control of distributed energy resources in electric grids. The findings of this study contribute to the understanding of advanced control methodologies in the context of PV integration, offering valuable guidance for the development of robust and reliable renewable energy systems.


Paper Submission Last Date
31 - December - 2023

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