Optimal Dispatch Strategy for Roof Top Solar PV-Based EV Charging Stations

Electric vehicles (EV) are exciting alternatives to conventional vehicles (CV) which have zero carbon emission during operation. The electric vehicle's ability is to reduce total climate effect & pollutant emission significantly. In This paper present a comparative analysis study of an opti...

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Bibliographic Details
Published inInternational Conference on Signal Processing and Communication (Online) pp. 494 - 499
Main Authors Mishra, Rishabh, Husain, Mohammed Aslam, Pandey, Yudhishthir, Khan, Asif, Agrawal, Alka, Mishra, Shivam
Format Conference Proceeding
LanguageEnglish
Published IEEE 20.02.2025
Subjects
Biological system modeling
Charging stations
Cost-emission based algorithm
Costs
Electric vehicles
General Algebraic Modelling System (GAMS)
Mathematical models
Optimization
Power generation
Renewable Energy
Renewable energy sources
Signal processing algorithms
Uncertainty
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Summary:Electric vehicles (EV) are exciting alternatives to conventional vehicles (CV) which have zero carbon emission during operation. The electric vehicle's ability is to reduce total climate effect & pollutant emission significantly. In This paper present a comparative analysis study of an optimization dispatch strategy for electric vehicles (ODSEV) charging station by using general algebraic modelling system (GAMS) to solve optimization dispatch equation. In the current distributed electricity generation scenario, a reliable, economical energy distribution plan is required. The problem of pollutant emissions from fossil fuels and their finite supply have forced researchers to concentrate on the future of renewable energy production. The output of this paper is to optimization dispatch strategy for electric vehicles (ODSEV) which includes four thermal & one solar power plant. This paper aims to introduce a cost-effective and environmentally conscious algorithm that integrates both thermal and solar power plants. Additionally, the algorithm accounts for the uncertainties associated with varying climatic conditions, ensuring a more practical and adaptable solution.
ISSN:2643-444X
DOI:10.1109/ICSC64553.2025.10968487