
This study presents an intelligent control approach to enhance power quality in a grid-connected hybrid renewable energy system integrating solar photovoltaic and wind sources. Such systems are highly susceptible to environmental variations, particularly wind speed fluctuations, which can reduce operational efficiency and stability. In addition, disturbances including three-phase faults and voltage deviations at the point of common coupling (PCC) may negatively influence system performance and reliability. To overcome these challenges, a Static Synchronous Compensator (STATCOM) is employed to provide dynamic reactive power support, thereby strengthening renewable energy integration and improving voltage regulation. Owing to the nonlinear and complex characteristics of hybrid systems, an advanced multi-objective Grey Wolf Optimization (GWO) algorithm is adopted to optimally tune controller parameters, enhancing robustness and overall system reliability. Simulation analyses under diverse operating conditions demonstrate that the system maintains voltage and current levels close to 1 pu during swell and sag events, ensures effective reactive power compensation during high renewable penetration, improves power quality under unbalanced nonlinear load conditions, and sustains PCC voltage within the range of 0.93–0.98 pu during three-phase faults. The results confirm notable improvements in voltage profile, current waveform quality, and Total Harmonic Distortion (THD), along with faster dynamic response, thereby validating the effectiveness of the proposed GWO-based STATCOM control strategy for hybrid renewable energy applications.
Static Synchronous Compensator (STATCOM), Grey Wolf Optimization (GWO), Reactive Power Regulation, Voltage Stability, Power Quality (PQ), Hybrid Energy Resource Systems (HRES).
Static Synchronous Compensator (STATCOM), Grey Wolf Optimization (GWO), Reactive Power Regulation, Voltage Stability, Power Quality (PQ), Hybrid Energy Resource Systems (HRES).
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
