OPTIMAL ALLOCATION OF ENERGY STORAGE BI-LAVEL BASED ON IMPROVED SCENARIO GENERATION METHOD FOR AC-DC HYBRID DISTRIBUTION NETWORK

Zou Yang; Shi Songhao; Yao Yujia; Huang Yu; Fang Menghong; Jin Tao

doi:10.19912/j.0254-0096.tynxb.2024-1270

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (11) : 521-531. DOI: 10.19912/j.0254-0096.tynxb.2024-1270

OPTIMAL ALLOCATION OF ENERGY STORAGE BI-LAVEL BASED ON IMPROVED SCENARIO GENERATION METHOD FOR AC-DC HYBRID DISTRIBUTION NETWORK

Zou Yang, Shi Songhao, Yao Yujia, Huang Yu, Fang Menghong, Jin Tao

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Abstract

With the increasing penetration of clean energy sources such as photovoltaic (PV), the uncertainty of their output has caused the vulnerability and high operation and maintenance cost of hybrid AC/DC distribution grid systems, Therefore, a bi-level planning method for energy storage in hybrid AC/DC distribution grids is proposed. Firstly, a PV output scenario generation method based on extreme learning machine is proposed to accurately portray the PV operating characteristics by introducing meteorological factors; secondly, an energy storage two-layer planning model that takes into account the economy, low carbon and comprehensive vulnerability of the grid is constructed, and the optimal energy storage configuration is solved by iteratively solving the parameter iterations between the planning layer and the operation layer in the model; Finally, the proposed method is simulated and analysed by improving the IEEE 33-node AC-DC hybrid distribution system. The results show that the scenario set generated by the improved scenario generation method taking into account the meteorological factors can better characterise the PV output volatility, and the proposed configuration method can reduce the carbon emission of the system and the system vulnerability and improve the economic performance of the system operation.

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carbon trading / energy storage / capacity allocation / uncertainty / hybrid AC/DC distribution grid / scenario generation

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Zou Yang, Shi Songhao, Yao Yujia, Huang Yu, Fang Menghong, Jin Tao. OPTIMAL ALLOCATION OF ENERGY STORAGE BI-LAVEL BASED ON IMPROVED SCENARIO GENERATION METHOD FOR AC-DC HYBRID DISTRIBUTION NETWORK[J]. Acta Energiae Solaris Sinica. 2025, 46(11): 521-531 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1270

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