{"id":48323,"date":"2024-06-06T09:11:02","date_gmt":"2024-06-06T08:11:02","guid":{"rendered":"https:\/\/www.innovationnewsnetwork.com\/?p=48323"},"modified":"2024-06-06T09:11:02","modified_gmt":"2024-06-06T08:11:02","slug":"scheduling-system-developed-to-optimise-ev-charging-efficiency","status":"publish","type":"post","link":"https:\/\/www.innovationnewsnetwork.com\/scheduling-system-developed-to-optimise-ev-charging-efficiency\/48323\/","title":{"rendered":"Scheduling system developed to optimise EV charging efficiency"},"content":{"rendered":"

Scientists from the National Institute of Technology Silchar have created a scheduling system that may revolutionise EV charging efficiency.<\/h2>\n

The system elevates power grid efficiency and better utilises energy generated from renewable sources<\/a>.<\/p>\n

By focusing on the charging and discharging times of EVs to better integrate with photovoltaic (PV) energy sources, the system has the potential to make EV charging even more sustainable.<\/p>\n

How does the scheduling system work?<\/h3>\n

This innovative two-stage algorithm<\/a> schedules EV charging sessions and manages their distribution across various charging stations to reduce energy loss, prevent power outages, and minimise grid impact.<\/p>\n

In the first stage, the algorithm uses a hybrid SARIMA-LSTM model to predict solar energy availability and identify optimal EV charging times.<\/p>\n

This synchronisation with peak solar production maximises renewable energy use and reduces dependency on non-renewable sources.<\/p>\n

The second stage allocates charging slots to different stations to balance the electrical grid load, maintaining stability and preventing the peaks and troughs associated with unmanaged EV charging.<\/p>\n

\"Scheduling
An advantageous charging\/discharging scheduling of electric vehicles in a PV energy enhanced power distribution grid. Credit: GREEN ENERGY AND INTELLIGENT TRANSPORTATION<\/figcaption><\/figure>\n

Successful EV charging simulations<\/h3>\n

The researchers demonstrated the system through extensive simulations on a 28-bus Indian power distribution network powered by solar energy.<\/p>\n

The results demonstrated major improvements in the grid’s peak-to-average load ratio, an indicator of power efficiency.<\/p>\n

The system was also shown to reduce total energy consumption and increase voltage stability in multiple test scenarios.<\/p>\n

This breakthrough represents a significant milestone in integrating renewable energy and EVs into urban infrastructure.<\/p>\n

As cities grow and pursue eco-friendly transportation and energy solutions, adopting intelligent scheduling systems is crucial for boosting EV charging efficiency.<\/p>\n

This study provides valuable insights for policymakers, utility companies, and consumers navigating complex energy management in congested urban areas.<\/p>\n","protected":false},"excerpt":{"rendered":"

National Institute of Technology Silchar scientists have created a scheduling system that may revolutionise EV charging efficiency.<\/p>\n","protected":false},"author":15,"featured_media":48324,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[24425],"tags":[24404,628],"acf":[],"yoast_head":"\nScheduling system developed to optimise EV charging efficiency<\/title>\n<meta name=\"description\" content=\"National Institute of Technology Silchar scientists have created a scheduling system that may revolutionise EV charging efficiency.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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