DISTRIBUTIONALLY ROBUST PLANNING METHOD FOR ACTIVE DISTRIBUTION POWER-TRAFFIC NETWORK COUPLING SYSTEMS

Zheng Huhu; Ye Jianhua; Luo Fengzhang

doi:10.19912/j.0254-0096.tynxb.2023-2163

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (4) : 200-209. DOI: 10.19912/j.0254-0096.tynxb.2023-2163

DISTRIBUTIONALLY ROBUST PLANNING METHOD FOR ACTIVE DISTRIBUTION POWER-TRAFFIC NETWORK COUPLING SYSTEMS

Zheng Huhu¹, Ye Jianhua¹, Luo Fengzhang²

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Abstract

This paper proposes a two-stage robust planning model that comprehensively considers uncertainties in traffic flow, renewable energy generation, and load in the power-traffic networks （PTN） formed by the integration of large-scale electric vehicle charging stations into the power distribution grid. Firstly, an optimal allocation model for charging station siting is established considering traffic flow, converting traffic flow uncertainties into uncertainties in PTN charging load based on operational constraints. Then, integrating the optimal traffic flow allocation and charging station siting results with the active distribution network （ADN）, a coordinated PTN planning model is formulated aiming to minimize ADN investment and operational costs along with traffic network investment costs. Various uncertainties in the model are dealt with by using a distributionally robust optimization approach and the column and constraint generation （C&CG） algorithm is used to solve them. Finally, a case study on a coupled system of a 33-node distribution grid and a 12-node traffic network validates the effectiveness of the proposed model and solution methodology.

Key words

power distribution network / traffic network / electric vehicle charging station / distributionally robust optimization / planning

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Zheng Huhu, Ye Jianhua, Luo Fengzhang. DISTRIBUTIONALLY ROBUST PLANNING METHOD FOR ACTIVE DISTRIBUTION POWER-TRAFFIC NETWORK COUPLING SYSTEMS[J]. Acta Energiae Solaris Sinica. 2025, 46(4): 200-209 https://doi.org/10.19912/j.0254-0096.tynxb.2023-2163

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