Design of power quality enhanced sustainable bidirectional electric vehicle charging station in distribution grid

Balasundar, C.; Sundarabalan, C.K.; Sharma, Jayant; Srinath, N.S.; Guerrero, Josep M.

doi:10.1016/j.scs.2021.103242

Cited by 40 publications

(22 citation statements)

References 18 publications

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“…The technical analyses were executed in the parking lot areas and it was located in highest EV market and they were coupling with CS rates and capacity in the top ten EVs. Balasundar et al 34 have provided the sustainable bi-directional EVCS in the distribution grid. CS quality was improved using an adaptive neuro-fuzzy and they were controlled by the distributing static compensator.…”

Section: Recent Research Work: a Brief Reviewmentioning

confidence: 99%

Simultaneously allocating electric vehicle charging stations ( EVCS ) and photovoltaic ( PV ) energy resources in smart grid considering uncertainties: A hybrid technique

Alphonse

Raj

Arumugam

2022

Intl J of Energy Research

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Summary This paper proposes a simultaneously allocating electric vehicle charging station (EVCS) and photovoltaic (PV) energy resources in smart grid considering uncertainties using a hybrid technique. The proposed hybrid technique is the combination of capuchin search algorithm (CapSA) and wild horse optimizer (WHO), and hence it is named as ECapSA technique. The dynamic behaviour of capuchin monkeys is enhanced by the wild horse's social life behaviour. That's why, it is called as enhanced CapSA (ECapSA) technique. In the proposed work, the following four main objectives are considered and formulated by the ECapSA technique: (a) minimization of energy loss, (b) minimization of 24‐h voltage deviation, (c) maximization of weightage to offer electric vehicle charging service for maximal users, and (d) minimization of land cost. The locations of electric vehicle charging station and distributed generation (DG) affect the power loss along voltage at the distribution network. Besides, the locations on the road network determine the land cost together with weightage. The proposed formulation solution is carried out in two layers: upper and lower layers. The electric vehicle charging station allocation is modelled in upper layer and distributed generation of the optimization in lower layer. Here, 24 h slots are considered for load variation and photovoltaic generation variation at the charging station (CS). The energy loss reduction is an objective of problem formulations instead of power loss reduction. The ECapSA technique is implemented in the MATLAB platform, its performance is analyzed with existing techniques.

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Section: Recent Research Work: a Brief Reviewmentioning

confidence: 99%

Simultaneously allocating electric vehicle charging stations ( EVCS ) and photovoltaic ( PV ) energy resources in smart grid considering uncertainties: A hybrid technique

Alphonse

Raj

Arumugam

2022

Intl J of Energy Research

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“…Solar-powered charging stations, according to (Goldin et al, 2014), might greatly reduce the impact of EV recharging on the power network. In (Balasundar et al, 2021), the design of a power quality enhanced sustainable bidirectional electric vehicle charging station in the distribution grid is presented. In (Li et al, 2022), a robust model of electric vehicle charging station location considering renewable energy and storage equipment is presented.…”

Section: Related Workmentioning

confidence: 99%

Development of DC Microgrid Integrated Electric Vehicle Charging Station With Fuzzy Logic Controller

Hadero

Khan

2022

Front. Energy Res.

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The utilization of the electric vehicles increasing day by day. Further, energy grid infrastructure is not modernized enough to supply the growing demand of electric vehicles. Therefore, it is difficult to fully depend on the energy obtained from grid. As a result, integration of renewable energy (solar), grid supply and energy storage is critical. Therefore, the need of renewable energy powered charging facility with adequate controlling is the present day requirement. This paper proposed the development of a direct current (DC) microgrid for electric vehicle charging stations. This work employs a fuzzy logic controller to optimally integrate a DC microgrid. The maximum operating voltage of this DC microgrid charging station is 500 V. Power flow management using a fuzzy logic controller keeps voltage within the expected range with standard voltage deviation. Further, it improves the response time (1.645 ms). Moreover, the operating costs per year of the proposed system are also being investigated.

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“…Reliable technology in charging stations is considered to be the major approach to maintaining the sustainable development of the EV industry [39][40][41]. As the popularization of EVs has continuously attracted increasing attention from the public, charging station R&D has become a heated discussing issue, which is recommended by the National Development and Reform Commission in China [42,43].…”

Section: Literature Review and Hypothesis Development 21 Production Of Evs And Charging Station Randdmentioning

confidence: 99%

An Empirical Research of the Mechanism from Electric Vehicle Production to Charging Station R&D in China

Zhang

2021

Processes

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Electric vehicles (EVs) are regarded as an effective method for dealing with serious environmental pollution. The Chinese government has implemented a series of incentives to accelerate the promotion of EV. However, the increasing production of EVs gives rise to a greater demand for better quality charging station. This study aimed to certify the impact of the production of EVs on charging station research and development (R&D) in China, with mediating effect methods and a panel fixed effect model. The conclusions derived from the study were: (1) Statistically, the production of EVs positively and significantly impacts charging station R&D; (2) the mediating role of investment in charging stations is verified in the relationship between the production of EVs and charging station R&D; (3) environmental tax can moderate the relationship between the production of EVs and charging station R&D. These results implicate, for the first time, that the production of EVs can enhance charging station R&D through the mediating role of charging station investments and the moderating role of environmental tax.

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Design of power quality enhanced sustainable bidirectional electric vehicle charging station in distribution grid

Cited by 40 publications

References 18 publications

Simultaneously allocating electric vehicle charging stations ( EVCS ) and photovoltaic ( PV ) energy resources in smart grid considering uncertainties: A hybrid technique

Simultaneously allocating electric vehicle charging stations ( EVCS ) and photovoltaic ( PV ) energy resources in smart grid considering uncertainties: A hybrid technique

Development of DC Microgrid Integrated Electric Vehicle Charging Station With Fuzzy Logic Controller

An Empirical Research of the Mechanism from Electric Vehicle Production to Charging Station R&D in China

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