Open Access

ARTICLE

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

Chao Zhou¹, Narisu Wang¹, Fuyin Ni^1,2,*, 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:
(This article belongs to the Special Issue: Future Innovative Solar Collectors, Technologies, and Materials for Sustainable Development)

Energy Engineering https://doi.org/10.32604/ee.2024.057380

Received 15 August 2024; Accepted 07 November 2024; Published online 06 December 2024

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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Keywords

Photovoltaic storage hybrid inverters; modified chimpanzee optimization algorithm; droop control; seamless switching

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