Optimization Model of the Public EV Charging Station Distribution in City

The increase in the number of electric vehicles (EVs) has led to an increase in power demand from the public grid; hence, a photovoltaic based charging station for an electric vehicle (EV) can participate to solve some peak power problems. On the other hand, vehicle-to-grid technology is designed and applied to provide ancillary services to the grid during the peak periods, considering the duality of EV battery “load-source”. In this paper, a dynamic searching peak and valley algorithm, based on energy management, is proposed for an EV charging station to mitigate the impact on the public grid, while reducing the energy cost of the public grid. The proposed searching peak and valley algorithm can determine the optimal charging/discharging start time of EV in consideration of the initial state of charge, charging modes, arrival time, departure time, and the peak periods. Simulation results demonstrate the proposed searching peak and valley algorithm’s effectiveness, which can guarantee the balance of the public grid, whilst meanwhile satisfying the charging demand of EV users, and most importantly, reduce the public grid energy cost.

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Charging Station Planning for Electric Vehicles

Systems ◽

10.3390/systems10010006 ◽

2022 ◽

Vol 10 (1) ◽

pp. 6

Author(s):

Arun Kumar Kalakanti ◽

Shrisha Rao

Keyword(s):

Electric Vehicles ◽

Research Area ◽

Urban Planner ◽

The Public ◽

Charging Station ◽

Placement Decisions ◽

Important Concern ◽

Planning Methods ◽

Traditional Approaches ◽

Ev Charging

Charging station (CS) planning for electric vehicles (EVs) for a region has become an important concern for urban planners and the public alike to improve the adoption of EVs. Two major problems comprising this research area are: (i) the EV charging station placement (EVCSP) problem, and (ii) the CS need estimation problem for a region. In this work, different explainable solutions based on machine learning (ML) and simulation were investigated by incorporating quantitative and qualitative metrics. The solutions were compared with traditional approaches using a real CS area of Austin and a greenfield area of Bengaluru. For EVCSP, a different class of clustering solutions, i.e., mean-based, density-based, spectrum- or eigenvalues-based, and Gaussian distribution were evaluated. Different perspectives, such as the urban planner perspective, i.e., the clustering efficiency, and the EV owner perspective, i.e., an acceptable distance to the nearest CS, were considered. For the CS need estimation, ML solutions based on quadratic regression and simulations were evaluated. Using our CS planning methods urban planners can make better CS placement decisions and can estimate CS needs for the present and the future.

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THE IMPORTANCE OF PUBLIC-FUNDED CHARGING STATIONS TO INCREASE THE RATE OF ELECTRIC VEHICLE (EV) OWNERSHIP IN INDONESIA

Sociae Polites ◽

10.33541/sp.v22i1.3507 ◽

2021 ◽

Vol 22 (1) ◽

pp. 78-91

Author(s):

Faiz Rafiza Ahmadani ◽

Rafi Aquary

Keyword(s):

Electric Vehicle ◽

Hand Position ◽

Publicly Funded ◽

The Public ◽

Charging Station ◽

Electric Vehicle Charging ◽

Range Anxiety ◽

The Government ◽

Charging Stations ◽

Ev Charging

The current surplus of electricity across Indonesia has further underlined many opportunities to optimize the usage of electricity in many sectors; including on the issue of Electric Vehicle (EV) ownership within the country. According to the government’s projection, the state-owned enterprise (SOE) of PLN would construct 254.181 units of charging stations by 2030. However, there exists the problem of ‘chicken and egg’; in which more EV charging stations would be required to spur EV sales and vice versa. In addition to that, the lack of charging stations has also led to the disinterest from the public to purchase EVs due to fear of range anxiety. Hence, this paper is written to address the importance of publicly funded charging stations in Indonesia to help cultivate EV development within the country. Not only that, since Indonesia is the largest member country of ASEAN, it could be the ‘trendsetter’ of this issue in the region and would have the upper hand position as an early adopter. Our hypotheses suggest that not only publicly funded the development of charging stations would be beneficial to the future-buyer of EV, but also for the government itself. Keywords: Electric Vehicle, Charging Station, Public-Funded, Range Anxiety

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The Architecture Design of Electrical Vehicle Infrastructure Using Viable System Model Approach

Systems ◽

10.3390/systems9010019 ◽

2021 ◽

Vol 9 (1) ◽

pp. 19

Author(s):

Mahdi Boucetta ◽

Niamat Ullah Ibne Hossain ◽

Raed Jaradat ◽

Charles Keating ◽

Siham Tazzit ◽

...

Keyword(s):

Urban Space ◽

Electric Vehicles ◽

Reference Model ◽

System Model ◽

Ecosystem Structure ◽

Viable System Model ◽

Charging Station ◽

Viable System ◽

Station Location ◽

Ev Charging

Exponential technological-based growth in industrialization and urbanization, and the ease of mobility that modern motorization offers have significantly transformed social structures and living standards. As a result, electric vehicles (EVs) have gained widespread popularity as a mode of sustainable transport. The increasing demand for of electric vehicles (EVs) has reduced the some of the environmental issues and urban space requirements for parking and road usage. The current body of EV literature is replete with different optimization and empirical approaches pertaining to the design and analysis of the EV ecosystem; however, probing the EV ecosystem from a management perspective has not been analyzed. To address this gap, this paper develops a systems-based framework to offer rigorous design and analysis of the EV ecosystem, with a focus on charging station location problems. The study framework includes: (1) examination of the EV charging station location problem through the lens of a systems perspective; (2) a systems view of EV ecosystem structure; and (3) development of a reference model for EV charging stations by adopting the viable system model. The paper concludes with the methodological implications and utility of the reference model to offer managerial insights for practitioners and stakeholders.

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