Temporal-spatial scheduling of electric vehicles in AC/DC distribution networks

Luo, Lizi; He, Pinquan; Gu, Wei; Sheng, Wanxing; Liu, Keyan; Bai, Muke

doi:10.1016/j.energy.2022.124512

Cited by 5 publications

(1 citation statement)

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“…Scheduling the charging and discharging of EVs makes the final load flattening, which is beneficial to voltage stability and consumer revenue. Luo 6 studied the model of the AC/DC hybrid distribution network, simplified the object into a Mixed Integer Quadratic Program (MIQP) problem, and optimized the network loss and user convenience 7 . proposes a scheduling model based on spatiotemporal bi‐layers, formulated a scheduling strategy for upper and lower layers with different objectives, and finally verifies the algorithm through a calculation example, but the energy types considered by the model are not rich enough 8 .…”

Section: Introductionmentioning

confidence: 99%

Spatial optimization of integrated energy system including hydrogen electrolysis center based on mixed integer second‐order cone programming

Xiaoxin

Chen

2023

Energy Science & Engineering

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Hydrogen energy is playing an increasingly important role in integrated energy systems (IES) due to its multiple uses. Green hydrogen can be produced from electricity generated from renewable energy, reducing carbon emissions and environmental pollution. Previous work usually only considers electric vehicles (EVs) as flexible loads, and there are few studies on the production and application process of green hydrogen. In this paper, hydrogen electrolysis centers (HECs) and EVs are simultaneously schedulable loads, integrated into IES, and optimized. The distribution network model is established, and the optimization goal is to minimize network loss while ensuring the safe operation of the power grid. Through the power flow optimization method of mixed‐integer second‐order cone programming, the space optimization scheduling of EVs in the IES is carried out, and the optimal location of the HEC is reasonably planned and set. A simulation instance of IEEE 33 nodes is used to verify the proposed method. The final results show that this method can minimize network loss in the range of safe operation of the system for the spatial scheduling of electrolytic hydrogen centers and EVs. At the same time, it can also provide a reference for HEC addressing.

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Section: Introductionmentioning

confidence: 99%