Enhancing Power Quality in Regional Integrated Energy Systems: A Novel Multidimensional Flexible Management Strategy for High Proportions of Renewable Energy Integration

Under the current impetus of dual-carbon goals, the integration of high proportions of renewable energy into regional energy systems has become an inevitable trend. However, this transition has led to increasingly prominent issues such as fluctuations in power quality, multi-time-scale power imbalances, and insufficient system stability under extreme weather conditions. To address these challenges, this paper proposes a multidimensional flexible comprehensive management strategy for power quality tailored to regional energy systems. This strategy involves a five-step closed-loop governance framework that encompasses assessment, classification, prediction, scheduling, and collaboration, introducing a comprehensive operational efficiency index Q for rapid quantitative assessment of system health. The proposed strategy optimizes scheduling through a multiobjective adaptive spiral enhancement cloud drift optimization (MASCDO) algorithm, combined with a three-tier collaborative compensation mechanism involving “storage in milliseconds, voltage source converter in seconds, and traditional equipment in minutes,” enhancing the system’s response capability in complex fluctuations and extreme scenarios. Case studies demonstrate that the proposed multidimensional governance strategy reduced external power purchases by 47.38% during the 12–9 a.m. window. By discharging 853.61 kW of stored energy at 5 a.m., the strategy completely eliminated the power deficit during this period. The MASCDO algorithm demonstrated excellent convergence and diversity on the test functions, and in actual scheduling, it increased the system’s net profit to $19,460, significantly outperforming the comparison algorithms. This solution effectively reduced renewable energy curtailment rates from 15.2% to 2.1% and elevated the system’s comprehensive health index Q to 0.94, markedly enhancing economic efficiency, reliability, and power quality.