Centralized charging station planning for battery electric trucks considering the impacts on electricity distribution systems

Li, Bo; Jing, Dekai; Zhong, Haiwang; He, Gang; Ma, Ziming; Ruan, Guangchun; Chen, Minyou; Kammen, Daniel M.

doi:10.1016/j.egyr.2023.04.090

Cited by 3 publications

(2 citation statements)

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“…These opportunities might impact the future coordinated development of vehicle-station-grid interactions. The impact of BSS location selection on the revenue of swapping is investigated in [39][40][41], and it is experimentally verified that the location selection of the BSS has a great impact on the revenue of the BSS. The cautions for BSS are described in [39,42].…”

Section: Introductionmentioning

confidence: 99%

“…A consolidated management strategy for ordered scheduling of EVs on BSS, which simultaneously considers wind power generation, has been proposed to accommodate wind energy in [40]. An aggregation management strategy for the orderly dispatch of EVs on BSS is proposed, which takes into account both the promotion of the peak shaving of the grid, releasing the peak shaving capacity, consuming the PV power generation, and lowering the cost to the users in [41].…”

Section: Introductionmentioning

confidence: 99%

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A Dual-Layer MPC of Coordinated Control of Battery Load Demand and Grid-Side Supply Matching at Electric Vehicle Swapping Stations

Tang,

Zhang,

Zhang

et al. 2024

Energies

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The uncontrolled charging of electric vehicles may cause damage to the electrical system as the number of electric vehicles continues to rise. This paper aims to construct a new model of the power system and investigates the rational regulation and efficient control of electric vehicle battery charging at electric vehicle exchange battery stations in response to the real-time grid-side supply situation. Firstly, a multi-objective optimization strategy is established to meet the day-ahead forecasted swap demand and grid-side supply with the maximization of day-ahead electric vehicle battery swapping station (BSS) revenue in the core. Secondly, considering the variable tariff strategy, a two-layer Model Predictive Control (MPC) coordinated control system under real-time conditions is constructed with the objective function of maximizing the revenue of BSS and smoothing the load fluctuation of the power system. Then, the day-ahead optimization results are adopted as the reference value for in-day rolling optimization, and the reference value for in-day optimization is dynamically adjusted according to the real-time number of electric car changes and power system demand. Finally, verified by experimental simulation, the results show that the day-ahead-intraday optimization model can increase the economic benefits of BSS and reduce the pressure on the grid to a certain extent, and it can ensure the fast, accurate, and reasonable allocation of batteries in BSS, and realize the flexible, efficient, and reasonable distribution of batteries in BSS.

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