Hybrid Aquila African Vulture Optimization Based Stability Enhanced DC-DC Boost Converter with Constant Power Load
摘要
A DC microgrid is made up of a network of power electronic converters connected to sources and loads. Constant power loads (CPLs) in DC microgrids pose stability issues due to their negative impedance properties. In an open-loop system, instability occurs when the incremental impedance of a continuous power load is negative. In this research, a hybrid Aquila African Vulture optimization-based discrete sliding mode controller (HAAVO-DSM) for DC-DC boost converters fed with CPLs. When the power source, loads, and outside factors change, the proposed controller will increase the common DC-bus voltage’s dependability. Utilizing Hybrid Aquila African Vulture Optimization (HAAVO), the proposed strategy ensures system stability and maintains a steady output voltage even when the CPL fluctuates. The DSM controller’s variables for a DC-DC boost converter are changed using the HAAVO approach. The Lyapunov function theory of control is used to examine the proposed system’s global stability. Finally, investigations on an internal hardware platform and simulation studies conducted in MATLAB/Simulink demonstrate that the suggested composite controller functions effectively even under significant alterations. The superiority of the proposed nonlinear controller will be demonstrated by comparing its efficacy with an existing controller. Finally, studies and simulations show the composite controller’s effectiveness.