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A review of Renewable Energy & Smart Grid system applications in railways
There has been a drive globally to cut down on greenhouse gasses and encourage the use of Renewable Energy Sources (RES). Also benefits offered by Smart Grid Electrical Systems for all stakeholders are well appreciated. Smart Grids (SGs) have already been implemented successfully in many parts of the world. Railways being one of the biggest consumers of electricity, it is vital to prioritize and explore the possibilities of implementing SG and RES for running trains, stations and other auxiliary rail systems. This paper explores the research carried out in these areas from the perspective of railway applications. It also underpins the challenges and highlights the need to consider Renewable Energy (RE) & Smart Grid (SG) applications for railways as one wider challenge as opposed to individual research areas. Energy Storage Systems (ESS) forms a critical component of the RE and SG applications in railways and it (ESS) has been successfully implemented in global railway systems while integrating the RE. This is mainly to optimize the unused energy generated by regenerative braking. One of the main challenges of railway power systems is that dynamic, rapid and generally unpredictable changes in peak power consumption. This is due to the fact that the trains are continuously moving and their power demand is dependent on several factors. The paper suggests use of Artificial Intelligence (AI) and Machine Learning (ML) based solutions while integrating and leveraging the benefits provided by automatic trains.
A review of Renewable Energy & Smart Grid system applications in railways
There has been a drive globally to cut down on greenhouse gasses and encourage the use of Renewable Energy Sources (RES). Also benefits offered by Smart Grid Electrical Systems for all stakeholders are well appreciated. Smart Grids (SGs) have already been implemented successfully in many parts of the world. Railways being one of the biggest consumers of electricity, it is vital to prioritize and explore the possibilities of implementing SG and RES for running trains, stations and other auxiliary rail systems. This paper explores the research carried out in these areas from the perspective of railway applications. It also underpins the challenges and highlights the need to consider Renewable Energy (RE) & Smart Grid (SG) applications for railways as one wider challenge as opposed to individual research areas. Energy Storage Systems (ESS) forms a critical component of the RE and SG applications in railways and it (ESS) has been successfully implemented in global railway systems while integrating the RE. This is mainly to optimize the unused energy generated by regenerative braking. One of the main challenges of railway power systems is that dynamic, rapid and generally unpredictable changes in peak power consumption. This is due to the fact that the trains are continuously moving and their power demand is dependent on several factors. The paper suggests use of Artificial Intelligence (AI) and Machine Learning (ML) based solutions while integrating and leveraging the benefits provided by automatic trains.
A review of Renewable Energy & Smart Grid system applications in railways
Gore, Prashant (author) / Dudhe, Ravishankar (author) / Raina, Roma (author)
2023-02-20
856671 byte
Conference paper
Electronic Resource
English
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