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Grid-Connected/Islanded Switching Control Strategy for Photovoltaic Storage Hybrid Inverters Based on Modified Chimpanzee Optimization Algorithm

by Chao Zhou1, Narisu Wang1, Fuyin Ni1,2,*, Wenchao Zhang1

1 School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, 213001, China
2 Jiangsu Key Laboratory of Power Transmission & Distribution Equipment Technology, Jiangsu University of Technology, Changzhou, 213001, China

* Corresponding Author: Fuyin Ni. Email: email

(This article belongs to the Special Issue: Future Innovative Solar Collectors, Technologies, and Materials for Sustainable Development)

Energy Engineering 2025, 122(1), 265-284. https://doi.org/10.32604/ee.2024.057380

Abstract

Uneven power distribution, transient voltage, and frequency deviations are observed in the photovoltaic storage hybrid inverter during the switching between grid-connected and island modes. In response to these issues, this paper proposes a grid-connected/island switching control strategy for photovoltaic storage hybrid inverters based on the modified chimpanzee optimization algorithm. The proposed strategy incorporates coupling compensation and power differentiation elements based on the traditional droop control. Then, it combines the angular frequency and voltage amplitude adjustments provided by the phase-locked loop-free pre-synchronization control strategy. Precise pre-synchronization is achieved by regulating the virtual current to zero and aligning the photovoltaic storage hybrid inverter with the grid voltage. Additionally, two novel operators, learning and emotional behaviors are introduced to enhance the optimization precision of the chimpanzee algorithm. These operators ensure high-precision and high-reliability optimization of the droop control parameters for photovoltaic storage hybrid inverters. A Simulink model was constructed for simulation analysis, which validated the optimized control strategy’s ability to evenly distribute power under load transients. This strategy effectively mitigated transient voltage and current surges during mode transitions. Consequently, seamless and efficient switching between grid-connected and island modes was achieved for the photovoltaic storage hybrid inverter. The enhanced energy utilization efficiency, in turn, offers robust technical support for grid stability.

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APA Style
Zhou, C., Wang, N., Ni, F., Zhang, W. (2025). Grid-connected/islanded switching control strategy for photovoltaic storage hybrid inverters based on modified chimpanzee optimization algorithm. Energy Engineering, 122(1), 265-284. https://doi.org/10.32604/ee.2024.057380
Vancouver Style
Zhou C, Wang N, Ni F, Zhang W. Grid-connected/islanded switching control strategy for photovoltaic storage hybrid inverters based on modified chimpanzee optimization algorithm. Energ Eng. 2025;122(1):265-284 https://doi.org/10.32604/ee.2024.057380
IEEE Style
C. Zhou, N. Wang, F. Ni, and W. Zhang, “Grid-Connected/Islanded Switching Control Strategy for Photovoltaic Storage Hybrid Inverters Based on Modified Chimpanzee Optimization Algorithm,” Energ. Eng., vol. 122, no. 1, pp. 265-284, 2025. https://doi.org/10.32604/ee.2024.057380



cc Copyright © 2025 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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