Optimal AGC regulators for power systems under restructured configuration with hybrid ESS

Area of Science:

• Electrical Engineering
• Control Systems
• Power Systems

Background:

• The global electric power sector is undergoing restructuring, leading to increased competition and the need for enhanced system reliability.
• New control techniques incorporating hybrid energy storage systems (ESS) are crucial for maintaining stability in modern power grids.

Purpose of the Study:

• To develop and evaluate a novel hybrid ESS controller for restructured thermal-generator-static (T-G-S) power systems.
• To assess the controller's performance under various challenging conditions, including parameter uncertainty and fluctuating load demands.

Main Methods:

• A hybrid ESS combining a polar fuzzy controller (PFC) and a fractional-order PID (FOPID) controller, optimized using the Cuckoo Search Optimization Algorithm (CSOA).
• The controller's resilience was tested against contingent transient disturbances (CTD), random load variations, and parameter uncertainties.
• Performance was evaluated on a reconstructed N-G-S system and compared against other advanced control strategies.

Main Results:

• The proposed CSOA-based hybrid ESS controller significantly improved frequency responses in Area-1 (15.59%) and Area-2 (21.83%).
• It enhanced tie-line power variation response under contract violation by 27.16% compared to the CSOA: PII^ʎDD^µ controller.
• Demonstrated superior performance and the lowest cost function among tested control strategies, including GA: 1+PFC and SOA: FOPID.

Conclusions:

• The CSOA-based hybrid ESS with PFC and FOPID controllers offers a robust and effective solution for enhancing stability in restructured power systems.
• The proposed control scheme provides dependable performance across diverse operating conditions and outperforms existing methods.
• This advancement contributes to more reliable and efficient electricity delivery in competitive power markets.