Quantitative Representation of Disturbance Waveform for Microgrid Connected PCC Voltages Using Improved Atomic Decomposition

Wenbo Hao, Jin Liu, Qingyu Yan, Benran Hu and Ricardo Fabricio Escobar Jiménez

Mathematical Problems in Engineering, 2024, vol. 2024, 1-11

Abstract: The fluctuation of microgrid power flow leads to serious voltage problems at the point of common coupling (PCC). The quantitative representation of the disturbance parameters of the voltage waveform at the PCC is necessary for evaluating and controlling the impact of distributed generation in the microgrid on the power system. An improved atomic decomposition (IAD) method is proposed to represent the disturbance parameters quantitatively and efficiently. Based on the disturbance characteristics of the PCC voltage, a coherent atom dictionary composed of four subdictionaries is constructed to improve the decomposition efficiency. To further improve the computational efficiency, an improved matching pursuits algorithm is proposed by alternating the search way to extract the disturbance components in the atomic decomposition. Meanwhile, simulation results show that the proposed IAD method has better antinoise and disturbance parameters quantization ability than wavelet transform.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:6037061

DOI: 10.1155/2024/6037061

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