
Applied Sciences, Journal Year: 2025, Volume and Issue: 15(10), P. 5633 - 5633
Published: May 18, 2025
To modernize electrical power systems on isolated islands, countries around the world have increased their interest in combining green energy with conventional plants. Wind (WE) is most adopted renewable source due to its technical readiness, competitive cost, and environmentally friendly characteristics. Despite this, a high penetration of WE could affect stability. Moreover, these island face frequency deviation issues when operating hybrid generation mode. Generally, under contingency or transient conditions for wind–diesel (WDPSs), it only diesel generator that provides inertial support regulation (FR) because wind turbines are unable provide inertia themselves. Frequency deviations can exceed pre-defined grid code limits during severe windy generator’s not always sufficient. overcome this issue, we propose control strategy named emulation proportional (EI&P) Variable-Speed Turbines (VSWTs). VSWTs also contribute FR by releasing synthetic uncertainties. In addition, enhance effectiveness smoothness blade pitch angle WTs, compensation (PC) loop proposed paper. The aim study was optimal primary regulations (WDPSs). Therefore, WDPS San Cristobal Island considered study. achieve such goals, used above-mentioned controls (EI&P PC) optimally tuned them using Student-Psychology-Based Algorithm (SPBA). algorithm ability best optimum controller gain combinations loops. As result, FD reduced 1.05 Hz, other quality indices, as integral absolute error (IAE), square (ISE), index (Z), were improved 159.65, 16.75, 83.80%, respectively. PC control, which further simplified exhaustive searches, resulted reduction complexity. validate results, approach tested different sets perturbations (sudden loss gradual increase speed random behavior). Furthermore, simultaneously real-world scenarios, like various load imbalances, variations, combinations. Simulink results showed significant improvement minimizing transients.
Language: Английский