Hybrid Wind/PV/Battery Energy Management-Based Intelligent Non-Integer Control for Smart DC-Microgrid of Smart University

Global environmental changes, nuclear power risks, losses in the electricity grid, and rising energy costs are increasing desire to rely on more renewable for generation. Recently, most people prefer live work smart places like cities universities which integrating grid systems. The large part of these systems is based hybrid sources make management a challenging task. Thus, design an intelligent controller required. present paper proposes combined fuzzy logic fractional-order proportional-integral-derivative (FO-PID) methods DC-microgrid. integrated into DC-microgrid constituted by battery bank, wind energy, photovoltaic (PV) source. source-side converters (SSCs) new fractional order PID strategy extract maximum from (wind PV) improve quality supplied To microgrid as cost-effective, prioritized. proposed ensures smooth output service continuity. Simulation results control schema under Matlab/Simulink presented compared with super twisting controller.