Day-ahead dispatch of novel battery charging and swapping station based on distributionally robust optimization

Zhao, Xianqiu; Yang, Yingze; Qin, Minglei; Xu, Qingshan

doi:10.1016/j.est.2023.107080

Cited by 14 publications

(5 citation statements)

References 28 publications

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“…(3) Day-ahead response Day-ahead response is divided into one day before demand response execution (dayahead response) and several hours before demand response execution (hour-level response) [73]. The power grid sends response invitations to participants through platform announcements, short messages, and telephone calls.…”

Section: Types Of Demand Response Response Mode Featuresmentioning

confidence: 99%

Integrating Electric Vehicles to Power Grids: A Review on Modeling, Regulation, and Market Operation

Jia,

Ma,

et al. 2023

Energies

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Fossil energy consumption and environmental protection issues have pushed electric vehicles (EVs) to become one of the alternatives to traditional fossil-fuel vehicles. EV refers to a vehicle that uses electric energy as power and is driven by an electric motor. The electric energy of EVs is stored in batteries. When the EV is not traveling, the battery can provide power for other loads. Therefore, with the increase in the number of EVs and the load of the power grid, the EV-to-grid (V2G) mode, which uses EVs to supply power to the power grid, has gradually entered the field of vision of researchers. The physical connection mode, charge and discharge technology, and energy management strategy are the main topics of the current review papers; however, there is a lack of systematic research on V2G modeling, framework, and business models. This paper describes the concepts of the spatio-temporal distribution model and the adjustable capacity of EVs. In addition, common constraints and methods in optimization are introduced. Moreover, this paper introduces the interactive relationship among power grids, load aggregators, and EV users. Furthermore, the business model of V2G is introduced and analyzed from various perspectives. Finally, the future development of V2G is pointed out. This paper’s goal is to provide an overview of the present V2G application scenarios and to identify any challenges that must be overcome.

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Section: Types Of Demand Response Response Mode Featuresmentioning

confidence: 99%

Integrating Electric Vehicles to Power Grids: A Review on Modeling, Regulation, and Market Operation

Jia,

Ma,

et al. 2023

Energies

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“…e h,k ≥ e sa f ety , j h,k = 1 (14) In constraint (12), JX(i) represents the number of BSSs in bus line j i , and indicates that there should be at least one node chosen to be the BSS for any route j i belonging to set J. Constraint ( 13) and ( 14) are battery-level constraints. Constraint (13) indicates when a bus enters the region, the battery level is lower than the warning level, so here comes a battery swapping demand.…”

Section: Modelmentioning

confidence: 99%

“…Constraint (13) indicates when a bus enters the region, the battery level is lower than the warning level, so here comes a battery swapping demand. Constraint (14) indicates when a bus arrives at the BSS built in station k on line j h , the battery level is higher than the safe level so that we do not need to consider whether the bus broke down halfway.…”

Section: Modelmentioning

confidence: 99%

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An Electric Bus Battery Swapping Station Location Method Based on Global Optimized Peak Traffic Flow

Wang,

Lei

2023

WEVJ

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The electric bus is an extremely important part of urban public transportation and has a huge impact on the ecosystem. However, the battery capacity is still a tough problem, and electric buses often face a booming demand for charging during peak periods. This paper focuses on the problem of electric bus battery swapping station (BSS) location. Based on the traffic flow assignment theory, this paper proposes a hybrid traffic assignment method based on GA and Frank–Wolfe algorithm, which has proved to be closer to the global optimum than the traditional method. This paper proposes a BSS selection model considering service quality as an evaluating indicator and a simulation is made based on a virtual road network. Compared with the traditional method, the result from the hybrid method is more suitable for electric buses when considering the situation at peak hours.

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“…Kang et al [5] propose a centralized charging strategy for EVs in a battery-switching scenario. Zhao et al [6] developed an optimization model that incorporates wind and solar energy, energy storage systems, gas turbines, and the regional power system. [7] propose a smart charging strategy to avoid EV charging hours overlapping with residential peak load hours.…”

Section: Introductionmentioning

confidence: 99%

Optimal Scheduling of Electric Vehicle Integrated Energy Station Using a Novel Many-Objective Stochastic Competitive Optimization Algorithm

Yin,

Liao,

Qian

et al. 2023

IEEE Access

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The construction of the Electric Vehicle Integrated Energy Station (EV-IES) is a prerequisite for the rapid development of the EV industry. However, how to optimize the operation of the EV-IES is a problem worthy of study. Therefore, this paper designs an EV-IES model with PV and Energy Storage System (ESS). Fully consider the peak-valley time-of-use electricity price, user traffic flow, PV output, and other factors. On this basis, the three objectives of the maximum daily revenue of the EV-IES, the minimum exchanged energy between the EV-IES and the Regional Power System (RPS), and the minimum pollutant emission are optimized at the same time. Secondly, this paper proposes a MOSCO algorithm, which is utilized to assess the DTLZ1-7 benchmark functions and the optimization scheduling problem of EV-IES. By comparing its simulation results with those of five other optimization algorithms, it is evident that the MOSCO algorithm outperforms the other five in terms of IGD, GD, HV, and Spread values. This indicates the effectiveness of the MOSCO algorithm in addressing many-objective optimization problems. Finally, in order to illustrate the feasibility of designing the EV-IES model, three comparative cases were designed. The

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Day-ahead dispatch of novel battery charging and swapping station based on distributionally robust optimization

Cited by 14 publications

References 28 publications

Integrating Electric Vehicles to Power Grids: A Review on Modeling, Regulation, and Market Operation

Integrating Electric Vehicles to Power Grids: A Review on Modeling, Regulation, and Market Operation

An Electric Bus Battery Swapping Station Location Method Based on Global Optimized Peak Traffic Flow

Optimal Scheduling of Electric Vehicle Integrated Energy Station Using a Novel Many-Objective Stochastic Competitive Optimization Algorithm

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