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Multi-timescale optimal control for high-ratio PV distribution networks based on an improved crocodile ambush optimization algorithm
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DOI：10.3389/fenrg.2026.1835732.png)
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Abstract
En 中文
High-penetration photovoltaic (PV) integration into distribution grids presents significant challenges; including diverse equipment characteristics; voltage instability induced by PV fluctuations; and the trade-off between economic and safety objectives. To address these issues; this paper proposes a two-stage; multi-timescale collaborative optimization framework. The day-ahead stage optimizes the discrete states of on-load tap changers and capacitor banks to minimize daily power loss; voltage deviation; and equipment operating costs. The intraday stage leverages PV inverters; static var compensators; and energy storage systems to mitigate real-time PV fluctuations and maintain voltage stability. Furthermore; an Improved Crocodile Ambush Optimization Algorithm (ICAOA) is developed; incorporating a Sobol sequence for population initialization; adaptive parameter adjustment; and a hybrid perturbation strategy to enhance its search capability and convergence performance. Validation results from CEC2022 benchmark functions and IEEE 33 system simulations demonstrate the effectiveness of the proposed approach: the day-ahead optimization achieves a daily loss of 1.02 MWh and an average voltage deviation of 0.014 p.u.; the intraday correction reduces the rolling-horizon loss to 0.032 MWh with zero voltage violations. The framework and algorithm collectively improve the economic and stable operation of high-penetration PV distribution networks.
Keywords:
distribution networks
voltage control
coordinated operation
improved crocodile ambush optimization Algorithm (ICAOA)
multi-timescale optimization
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2.4
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923
Citations:
1.4W
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