IMPROVED AQUILA OPTIMIZER FOR DISTRIBUTED PHOTOVOLTAIC GRID-CONNECTED POWER CONTROL IN DISTRIBUTION NETWORKS

Dai Qiangsheng; Huo Xuesong; Du Yunlong; Yang Bin; Zhou Hang

doi:10.19912/j.0254-0096.tynxb.2025-0688

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (9) : 212-218. DOI: 10.19912/j.0254-0096.tynxb.2025-0688

IMPROVED AQUILA OPTIMIZER FOR DISTRIBUTED PHOTOVOLTAIC GRID-CONNECTED POWER CONTROL IN DISTRIBUTION NETWORKS

Dai Qiangsheng^1,2, Huo Xuesong¹, Du Yunlong¹, Yang Bin³, Zhou Hang³

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Abstract

This paper proposes a power control method for distributed photovoltaic （PV） grid-connected systems in distribution networks based on an improved aquila optimizer. This method uses internet of things （IoT） technology to collect real-time key data from distributed PV grid connection and distribution networks, including current, voltage, weather conditions, and load status. A generalized predictive control method is adopted to construct a power prediction control model by integrating these key data. The method fully considers the dynamic characteristics of PV systems and grid fluctuations, and derives future output predictions of the PV grid-connected system by employing the Diophantine equation, thereby achieving effective prediction of voltage fluctuations and flicker over a future period. Based on the prediction results and actual grid requirements, a rolling optimization strategy is designed to further optimize power control in response to the high dynamics and uncertainty of the power grid. An improved Aquila optimizer is introduced to optimize the regulation parameters of the inverter according to the prediction results and actual grid demands. By adjusting these parameters, the method reduces output power fluctuations, subsequently alleviates voltage fluctuations and flicker, and achieves accurate prediction and control of distributed PV grid-connected power. Experimental results show that, compared with the proactive control method, the proposed method exhibits superior performance in power control of distributed PV grid connection in distribution networks and is suitable for practical application scenarios.

Key words

power control / predictive control / optimization algorithms / aquila optimizer / distribution network / internet of things technology

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Dai Qiangsheng, Huo Xuesong, Du Yunlong, Yang Bin, Zhou Hang. IMPROVED AQUILA OPTIMIZER FOR DISTRIBUTED PHOTOVOLTAIC GRID-CONNECTED POWER CONTROL IN DISTRIBUTION NETWORKS[J]. Acta Energiae Solaris Sinica. 2026, 47(9): 212-218 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0688

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