Adaptive Control-based frequency control strategy for PV/ DEG/ battery power system during islanding conditions

Area of Science:

• Electrical Engineering
• Renewable Energy Systems
• Control Systems

Background:

• Islanded Hybrid Power Systems (IHPS) are crucial for remote energy access, often combining Diesel Engine Generators (DEG), Photovoltaic (PV) systems, and Battery Storage (BATT).
• Variable renewable energy sources in IHPS pose challenges for traditional control systems in maintaining optimal efficiency and frequency stability.
• Existing control methods struggle to adapt to dynamic operating conditions and disturbances inherent in IHPS.

Purpose of the Study:

• To develop and evaluate a novel Model Reference Adaptive Control-Fuzzy Proportional Integral based Whale Optimization Algorithm (MRAC-FPI-WOA) controller for IHPS.
• To enhance frequency control and power production efficiency in IHPS under various operational scenarios, including faults and renewable energy fluctuations.
• To compare the performance of the proposed MRAC-FPI-WOA controller against existing controllers like FPI-WOA, PI-WOA, and PI-PSO.

Main Methods:

• Implementation of a Model Reference Adaptive Control (MRAC) framework integrated with a Fuzzy Proportional Integral (FPI) controller.
• Optimization of the FPI controller parameters using the Whale Optimization Algorithm (WOA).
• Simulation and comparative analysis of the MRAC-FPI-WOA controller against PI-PSO, PI-WOA, and FPI-WOA controllers under different disturbance conditions (e.g., three-phase faults, solar radiation variations).

Main Results:

• The MRAC-FPI-WOA controller demonstrated superior performance in maintaining frequency stability and system efficiency compared to other controllers.
• Significant reductions in overshoot (up to 59.05%), undershoot (up to 79.36%), settling time (up to 40.9%), and ITAE (up to 89.69%) were observed during various fault conditions and solar radiation changes.
• Exceptional dynamic responsiveness was noted for ramp and random solar radiation variations, highlighting the controller's adaptability.

Conclusions:

• The proposed MRAC-FPI-WOA controller offers a robust and effective solution for advanced frequency control in IHPS.
• This advanced control strategy significantly improves the reliability and efficiency of power systems in remote and energy-poor areas.
• The controller's adaptive capabilities make it highly suitable for managing the complexities of hybrid power systems with high renewable energy penetration.