Enhancing Renewable Interconnection Performance through Bio-Inspired Adaptive Control Strategies

Abstract

This study addresses the growing problem that conventional grid-following solar assets remain dependent on external voltage and frequency references, which limits their ability to support stability, resilience, and reliable renewable interconnection in weak-grid and high-renewable environments. The purpose of the research was to examine whether bio-inspired control algorithms can enable the transformation of solar assets from grid followers to grid formers and thereby improve renewable interconnection performance. Using a quantitative, cross-sectional, case-based design, the study analyzed 150 valid responses drawn from cloud and enterprise-style renewable interconnection cases and technically informed solar integration contexts, from 180 distributed questionnaires, yielding an 83.3% valid response rate. The key variables were Bio-Inspired Control Algorithms as the independent variable, the Grid-Forming Readiness Index as the mediating variable, and Renewable Interconnection Performance as the dependent variable, with additional case comparisons between grid-following and grid-forming operational profiles. Data were analyzed through descriptive statistics, correlation analysis, and regression modeling. The findings showed strong positive evaluations for bio-inspired control algorithms (M = 4.18, SD = 0.61), grid-forming readiness (M = 4.09, SD = 0.66), and renewable interconnection performance (M = 4.14, SD = 0.58). Bio-inspired control significantly predicted grid-forming readiness (β = 0.720, t = 11.84, p < .001), explaining 51.8% of its variance, while the combined model of bio-inspired control and grid-forming readiness explained 61.0% of the variance in renewable interconnection performance (R² = 0.610, F = 114.83, p < .001). Correlation results further confirmed strong positive associations among the variables, including r = 0.720 between bio-inspired control and readiness, and r = 0.760 between readiness and interconnection performance. Grid-forming solar assets also outperformed grid-following assets across voltage support, frequency contribution, fault recovery, and weak-grid resilience, with an overall mean advantage of 0.83 points. The study implies that intelligent, adaptive inverter control is a practical pathway for strengthening solar asset autonomy, modern grid support capability, and renewable interconnection reliability in next-generation power systems.