Optimal voltage and frequency control strategy for renewable-dominated deregulated power network

Area of Science:

• Electrical Engineering
• Power Systems Engineering
• Control Systems

Background:

• Stable voltage and frequency are crucial for power system reliability, especially with increasing renewable energy integration.
• Deregulated power systems with diverse generation sources (thermal, diesel, wind, solar PV, hydro) present complex control challenges.
• Variability of renewable energy sources necessitates advanced control strategies for grid stability.

Purpose of the Study:

• To propose a coordinated control strategy for voltage and frequency regulation in a deregulated power system.
• To enhance the performance of power systems integrating renewable energy sources.
• To improve the robustness of power system control under various disturbances and market transactions.

Main Methods:

• Developed a novel Leader Harris Hawks Optimization-based Model Predictive Controller (MPC-LHHO).
• Employed stochastic modeling techniques to characterize wind and solar generation variability.
• Integrated auxiliary devices like Unified Power Flow Controller (UPFC) and grid-connected electric vehicles (EVs).

Main Results:

• Achieved a 67.45% reduction in frequency deviation undershoot and a 91.11% reduction in voltage settling time.
• Reduced frequency deviations by 52.18% under stochastic scenarios using auxiliary devices.
• Demonstrated superior performance compared to conventional controllers under poolco and bilateral transactions.

Conclusions:

• The proposed MPC-LHHO strategy effectively enhances voltage and frequency regulation in complex power systems.
• Integration of UPFC and EVs further improves system resilience against renewable intermittency and load variations.
• The control strategy proves robust and effective under contract violations, load variations, and renewable intermittency.