A wind power smoothing strategy based on two-layer model algorithm control

Lan Ma

doi:10.1016/j.est.2023.106617

A wind power smoothing strategy based on two-layer model algorithm control

2023-04-01

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AI

DOI：10.1016/j.est.2023.106617

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Abstract

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The inherent uncertainty of wind power generation leads to a mismatch between actual wind power generation and electric grid demand power, while the occurrence of sudden loads makes real-time scheduling of wind farms difficult. To address these issues, a cooperative compensation strategy of battery is proposed to compensate for the unbalanced power and sudden loads. Positive unbalanced power is used directly to compensate for sudden loads, and the energy storage absorbs the remaining positive unbalanced power to indirectly compensate for negative unbalanced power and sudden loads when the energy storage has excess power. The fluctuation rate of wind power after compensation is considered, and a smoothing model based on two-layer model algorithm control (MAC) is established. A variable mode decomposition (VMD) adaptive frequency division method is proposed to decompose the compensated power in order to smooth the high-frequency and low-frequency parts of the compensated power using different components of the hybrid energy storage to achieve accurate compensation.

Keywords:

Wind power fluctuation smoothing

Model algorithm control

Variable mode decomposition

Energy storage operation strategy

Hybrid energy storage

A wind power smoothing strategy based on two-layer model algorithm control

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