Robust Improvement Strategy for Power Grid Hosting Capacity with Integration of High Proportion of Renewable Energy

doi:10.11930/j.issn.1004-9649.202305103

Abstract

Abstract: The high proportion of renewable energy integration into the grid poses challenges to the hosting capacity of the power grid. This paper proposes a robust improvement strategy for the hosting capacity of the power grid with integration of high proportion of renewable energy. Firstly, considering the line expansion cost, energy storage device cost, and demand response capacity cost required for load, a deterministic improvement strategy model is constructed for renewable energy output and load under given scenarios. Secondly, based on the improved k-means clustering algorithm, multiple typical scenarios considering the wind-PV-load correlation are obtained, and the uncertainty of the load is described using the uncertainty interval centered with the typical scenarios. And then, based on the two-stage robust optimization theory, a strategy model for improving the hosting capacity of the power grid is constructed, and the column and constraint generation (C&CG) algorithm is used to solve the model. Finally, the effectiveness of the proposed model and solution method is verified by the case study.

Key words: renewable energy, power grid hosting capacity, improved k-means clustering algorithm, robust improvement strategy

DAN Yangqing, WANG Lei, ZHENG Weimin, WU Jiahui, WANG Chenxuan, YU Gaowang. Robust Improvement Strategy for Power Grid Hosting Capacity with Integration of High Proportion of Renewable Energy[J]. Electric Power, 2023, 56(9): 104-111.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202305103

https://www.electricpower.com.cn/EN/Y2023/V56/I9/104

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