Optimal Utilization of Solar Energy for Electric Vehicles Charging in a Typical Microgrid

Saadatmandi, Mohammad; Hakimi, Seyed Mehdi

doi:10.1007/978-3-030-34448-1_5

Cited by 3 publications

(3 citation statements)

References 19 publications

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“…where, K 2 (t+1) is the response of next iteration of t retrieved by K 2 , D is the dimension of search space, and Levy(D) is the levy flight distribution function, which is derived using Eq (23). At the p th iteration, K R (t) is a random outcome in the range [1, N].…”

Section: Plos Onementioning

confidence: 99%

“…Mohammad Saadatmandi et al . [ 23 ] created a charge management approach to promote penetration of renewable resources. Their findings reveal that this program is designed to encourage consumers to use RES while minimizing the amount of power obtained from conventional generators.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, it can be used in a real-time setting. Binary conventional generation (BCG) [ 23 ] flourishes a charging management programme to enhance penetration of renewable resources, but the penetration can be improved by using a charge management scheme. V2G technology [ 24 ] is quite sensitive to discharge depth, which limits the charging-discharging regime’s time intervals limits that increases planning costs.…”

Section: Introductionmentioning

confidence: 99%

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Optimal planning and allocation of Plug-in Hybrid Electric Vehicles charging stations using a novel hybrid optimization technique

Subramaniam¹,

Singh

2023

PLoS ONE

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India’s expanding population has necessitated the development of alternate transportation methods with electric vehicles (EVs) being the most indigenous and need for the current scenario. The major hindrance is the undue influence on the power distribution system caused by incorrect charging station setup. Renewable Energy Sources (RES) have a lower environmental impact than the non-renewable sources of energy and due to which Plug-in Hybrid Electric Vehicles (PHEV) charging stations are installed in the highest-ranking buses to facilitate their effective placements. Based on meta-heuristic optimization, this study offers an effective PHEV charging stations allocation approach for RES applications. The primary objective of the developed system is to create a charging network at a reasonable cost while maintaining the operational features of the distribution network. These troublesare handled by applying meta-heuristic algorithms and optimum planning based on renewable energy systems to satisfy the outcomes of the variables. As a result, by adding charging station parameters, this research proposes to conceptualize the distribution of optimal charging stationsas multiple-objectives of the problem. Furthermore, the PHEV RES and charging station location problem is handled in this study by deploying a novel hybrid algorithm termed as Atom Search Woven Aquila Optimization Algorithm (AT-AQ) that includes the ideas of both Aquila Optimizer (AO) and Atom Search Optimization (ASO) Algorithms. In reality, Aquila Optimizer is a unique population-based optimization approach energized by Aquila’s behaviour when seeking prey and it solves the problems of slow convergence and local optimum trapping. According to the findings of the experiments, the proposed model outperformed the other methods in terms of minimized cost function.

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Section: Plos Onementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimal planning and allocation of Plug-in Hybrid Electric Vehicles charging stations using a novel hybrid optimization technique

Subramaniam¹,

Singh

2023

PLoS ONE

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Optimizing renewable energy-based plug-in hybrid electric vehicle charging stations for sustainable transportation in India

Lim,

2024

Transportation Engineering

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The Adoption of Electric Vehicles in the Sultanate of Oman: A Conceptual Study

Alsalmi,

Thiruchelvam

2023

Wseas Transactions on Business and Economics

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This research aims to propose a conceptual framework that links Personal and Technological Factors with Electric Vehicle (EV) adoption in Oman, and to test the validity and reliability of the research model. Based on the Social Cognitive Theory, the framework contained Omani Social Norms, Perceived Usefulness (as Personal Factors), the Government’s Personnel Information Technology IT Competencies, Electric Vehicles System Quality, and the Lack of charging infrastructure (as Technological Factors) as independent variables; with Electric Vehicles in Oman (as dependent variable). The researcher followed the quantitative research methodology by testing the score of Cronbach Alpha as a measurement of the Reliability of the scale, and Person correction as a measurement of the research model validity. The researcher used the mean of the survey questionnaire as a research instrument, on which the researcher developed a 26 items questionnaire and distributed 30 questionnaires. The findings of this study revealed that the scores of the Cronbach Alpha for all of the constructs achieved a satisfactory level of scale reliability. In addition, the Pearson Correlation between all Social Norms, Perceived Usefulness, Personnel IT Competencies, System Quality, and the Lack of charging infrastructure with the EV have all been found to be statistically significant.

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Optimal Utilization of Solar Energy for Electric Vehicles Charging in a Typical Microgrid

Cited by 3 publications

References 19 publications

Optimal planning and allocation of Plug-in Hybrid Electric Vehicles charging stations using a novel hybrid optimization technique

Optimal planning and allocation of Plug-in Hybrid Electric Vehicles charging stations using a novel hybrid optimization technique

Optimizing renewable energy-based plug-in hybrid electric vehicle charging stations for sustainable transportation in India

The Adoption of Electric Vehicles in the Sultanate of Oman: A Conceptual Study

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