Controlling and tracking the maximum active power point in a photovoltaic system connected to the grid using the fuzzy neural controller
Zıyodulla Yusupov, Elnaz Yaghoubi, Elaheh Yaghoubi
Abstract
In contemporary smart distribution microgrids, both AC and DC loads and sources are consistently accessible, often operating at varying voltage levels simultaneously. Consequently, the typical scenario in today's microgrids involves a hybrid microgrid setup, necessitating the integration of inverters to facilitate power sharing between the AC and DC sections. Hence, this paper introduces a solution for active power control within an integrated AC/DC microgrid incorporating decentralized photovoltaic sources. The proposed solution employs a fuzzy neural controller to manage power generation, including the complexities of tracking the maximum power point during partial shading conditions. This approach effectively addresses the challenges posed by the combined microgrid configuration. The simulation results provide clear evidence of the success of the proposed method in controlling the active power managed by the DC microgrid and transferring it to the AC section.