Optimal Coordinated Charging and Routing Scheme of Electric Vehicles in Distribution Grids: Real Grid Cases

Kasani, Venkata Satish; Tiwari, Deepak; Khalghani, Mohammad Reza; Solanki, Sarika Khushalani; Solanki, Jignesh

doi:10.1016/j.scs.2021.103081

Cited by 27 publications

(8 citation statements)

References 30 publications

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“…A system for optimizing charging coordination is developed that fulfills both the energy requirement of EVs and the load profile. According to the framework, which is based on mixed integer linear programming, demand response charging exhibits a larger effect on boosting voltage, lowering peak load, and minimizing network loss when compared to alternative charging schemes [12]. An incentive demand response mechanism is designed that balances the interests of power grid providers, EV aggregators, and EV customers on the distribution network.…”

Section: Literature Reviewmentioning

confidence: 99%

Orderly Charging Strategy Based on Optimal Time of Use Price Demand Response of Electric Vehicles in Distribution Network

et al. 2022

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In order to manage electric vehicles (EVs) connected to charging grids, this paper presents an orderly charging approach based on the EVs’ optimal time-of-use pricing (OTOUP) demand response. Firstly, the Monte Carlo approach is employed to anticipate charging power by developing a probability distribution model of the charging behavior of EVs. Secondly, a scientific classification of the load period is performed using the fuzzy clustering approach. Then, a matrix of demand price elasticity is developed to measure the link between EV charging demand and charging price. Finally, the charging scheme is optimized by an adaptive genetic algorithm from the distribution network and EV user viewpoints. This paper describes how to implement the method presented in this paper in an IEEE-33-bus distribution network. The simulation results reveal that, when compared to fixed price and common time-of-use pricing (CTOUP), the OTOUP charging strategy bears a stronger impact on reducing peak–valley disparities, boosting operating voltage, and decreasing charging cost. Additionally, this paper studies the effect of varied degrees of responsiveness on charging strategies for EVs. The data imply that increased responsiveness enhances the likelihood of new load peak, and that additional countermeasures are required.

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Section: Literature Reviewmentioning

confidence: 99%

Orderly Charging Strategy Based on Optimal Time of Use Price Demand Response of Electric Vehicles in Distribution Network

et al. 2022

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“…Constraint (19) would not be strictly required and is used only to reduce execution times. The maximum number of type k EVs, n k,max , is posed equal to s. Constraint (20), ensuring that the number of EVs is sufficient for the service requirements.…”

Section: Optimization Procedures and Economic Evaluationmentioning

confidence: 99%

“…In the literature, many studies analyze e-mobility facing the vehicle routing problem, fundamental for delivery and collection of goods or people, integrated with the EVs charging needs [13][14][15][16][17][18][19][20][21]. In Ref.…”

Section: Introductionmentioning

confidence: 99%

Optimization of e-Mobility Service for Disabled People Using a Multistep Integrated Methodology

et al. 2022

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The penetration of e-mobility is growing thanks to the European guidelines on climate preservation regarding the reduction in CO2 emission. Governments are adapting their economic policies with the aim to incentivize e-mobility. At the same time, with a view to equality and accessibility, countries are working to introduce e-mobility services also for people with disabilities in order to improve the quality of their lives. The paper reports the deployment of an e-mobility service for persons with disabilities carried out in a project financed by Sapienza University of Rome. The project includes a feasibility study and a cost–benefit analysis in order to identify the optimal solution from a technical and environmental point of view for a sustainable e-mobility service for people with reduced mobility. A methodology to design a service based on optimal routes and electric vehicles with respect to energy consumption, time travel, energy and vehicle costs and quality of service is proposed. The 5-step methodology calculates the most energy-efficient routes and defines the optimal charging schedule, taking into account charging points dislocated along the routes and choosing vehicle typologies with the best performance based on economic evaluations. A software was developed to automatize the methodology.

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“…One of the traditional pricing mechanisms is to use price elastic matrix (PEM) to evaluate the charging demand response [10], [11]. The PEM is defined as the ratio of the change in charging demand to the base charging demand over the change in price to the base price.…”

Section: Literature Reviewmentioning

confidence: 99%

A Two-phase On-line Joint Scheduling of Pricing and Control for Welfare Maximization of Charging Station

Huang¹,

Jia²,

Yang³

et al. 2022

Preprint

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The large adoption of EVs brings practical interest to the operation optimization of the charging station. The joint scheduling of pricing and charging control will achieve a win-win situation both for the charging station and EV drivers, thus enhancing the operational capability of the station. We consider this important problem in this paper and make the following contributions. First, a joint scheduling model of pricing and charging control is developed to maximize the expected social welfare of the charging station considering the Quality of Service and the price fluctuation sensitivity of EV drivers. It is formulated as a Markov decision process with variance criterion to capture uncertainties during operation. Second, a two-phase on-line policy learning algorithm is proposed to solve this joint scheduling problem. In the first phase, it implements event-based policy iteration to find the optimal pricing scheme, while in the second phase, it implements scenario-based model predictive control for smart charging under the updated pricing scheme. Third, by leveraging the performance difference theory, the optimality of the proposed algorithm is theoretically analyzed. Numerical experiments for a charging station with distributed generation and hydrogen energy storage demonstrate the effectiveness of the proposed method and the improved social warfare of the charging station.

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Optimal Coordinated Charging and Routing Scheme of Electric Vehicles in Distribution Grids: Real Grid Cases

Cited by 27 publications

References 30 publications

Orderly Charging Strategy Based on Optimal Time of Use Price Demand Response of Electric Vehicles in Distribution Network

Orderly Charging Strategy Based on Optimal Time of Use Price Demand Response of Electric Vehicles in Distribution Network

Optimization of e-Mobility Service for Disabled People Using a Multistep Integrated Methodology

A Two-phase On-line Joint Scheduling of Pricing and Control for Welfare Maximization of Charging Station

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