Coordinated optimal configuration scheme of wind-solar ratio and energy storage considering wind-solar complementary characteristics

This study proposes a collaborative optimization configuration scheme of wind-solar ratio and energy storage based on the complementary characteristics of wind and light. On the premise of maintaining the stability of the wind-solar hybrid power generation system, the optimal allocation model of wind-solar ratio and energy storage considering the complementary characteristics of wind-solar is established with the minimum total cost of planning. At the same time, three indicators of power fluctuation index, wind-solar permeability and new energy abandonment rate are proposed to evaluate the scheme.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/icepg63230.2024.10775452
Primary Topic
Power Systems and Renewable Energy
Type
article
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Coordinated optimal configuration scheme of wind-solar ratio and energy storage considering wind-solar complementary characteristics

Jian Peng, Xiuyu Yang, Zhengyin Zhu, S. W. K. Yuan et al.
Power Systems and Renewable Energy
article

Coordinated optimal configuration scheme of wind-solar ratio and energy storage considering wind-solar complementary characteristics

Jian Peng, Xiuyu Yang, Zhengyin Zhu, S. W. K. Yuan, Gang Miu, Zhiwen Li
article en

Abstract

This study proposes a collaborative optimization configuration scheme of wind-solar ratio and energy storage based on the complementary characteristics of wind and light. On the premise of maintaining the stability of the wind-solar hybrid power generation system, the optimal allocation model of wind-solar ratio and energy storage considering the complementary characteristics of wind-solar is established with the minimum total cost of planning. At the same time, three indicators of power fluctuation index, wind-solar permeability and new energy abandonment rate are proposed to evaluate the scheme.

North China Electric Power University (CN)
Affordable and clean energy
Openalex Percentile: Top 77%
Power Systems and Renewable Energy
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