Enhanced power management in PV-Integrated hybrid energy storage systems using fuzzy 2DOF-PI control optimized by...

Area of Science:

• Renewable Energy Systems
• Control Engineering
• Energy Storage Technologies

Background:

• Standalone photovoltaic (PV) systems require robust energy management for stability.
• Hybrid energy storage systems (HESS), combining batteries and supercapacitors (SCs), offer improved performance but need advanced control.
• Managing power flow and maintaining DC bus voltage are critical challenges in PV-HESS integration.

Purpose of the Study:

• To develop and validate an advanced control strategy for a standalone PV system with a HESS.
• To enhance power management, DC bus voltage stability, and battery State of Charge (SOC) regulation.
• To improve the dynamic response and overall efficiency of the hybrid energy storage system.

Main Methods:

• Implementation of a novel Fuzzy Logic-based Two-Degree-of-Freedom Proportional-Integral (Fuzzy 2DOF-PI) controller.
• Optimization of the Fuzzy 2DOF-PI controller using the Hippopotamus Optimization (HO) algorithm.
• Validation through MATLAB/Simulink simulations under diverse solar irradiance and load conditions.

Main Results:

• The proposed Fuzzy 2DOF-PI controller demonstrated superior dynamic response compared to classical PI, TLBO, and PSO methods.
• Significant reductions in peak overshoot (at least 15%) and transient duration (at least 10%) were achieved.
• Effective regulation of battery SOC within safe limits and stable DC bus voltage were maintained.

Conclusions:

• The Fuzzy 2DOF-PI controller, optimized with the HO algorithm, provides a robust and efficient solution for standalone PV-HESS power management.
• The proposed strategy effectively mitigates battery stress and extends lifespan by utilizing SCs for transient power.
• This advanced control approach offers significant improvements for renewable energy integration and storage applications.