Frontiers in Energy Research (Dec 2023)

The optimization analysis of multi-type demand-side flexibility resources for renewable energy accommodation in electrical power systems

  • Kun Ding,
  • Lei Zhang,
  • Changhai Yang,
  • Zhuxiu Wang

DOI
https://doi.org/10.3389/fenrg.2023.1333872
Journal volume & issue
Vol. 11

Abstract

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The significant increase in the proportion of renewable energy access has led to a burgeoning and urgent demand for flexible resources within the power system, and the prominence of flexible resources on the demand side has been underscored. The existing research on demand-side response primarily focuses on addressing peak load challenges, while the optimization of demand response for accommodating renewable energy remains inadequate. Considering this issue, the present study initially examines the flexibility mechanism offered by demand-side resources and proposes a calculation approach for determining the adjustable capacity of demand-side flexible resources. Furthermore, considering the limitations of the load that can be shifted, transferred, and curtailed, we develop a collaborative optimization operational model for accommodating renewable energy with multiple types of demand response. Finally, based on the provincial power grid example, the simulation study verifies the efficacy of a multi-type demand response. The results demonstrate that shiftable and transferable loads can effectively facilitate the accommodation of new energy, and their optimal allocation capacity ratios are 5.8% and 2.3%, respectively.

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