Paper Title :MHT-LSTM-Based Power Transmission By Considering Energy Management and Cost Reduction

Author :Sreedip Ghosh, Bedatri Moulik, H.P. Singh, Vikas Singh Bhadoria

Article Citation :Sreedip Ghosh ,Bedatri Moulik ,H.P. Singh ,Vikas Singh Bhadoria , (2024 ) " MHT-LSTM-Based Power Transmission By Considering Energy Management and Cost Reduction " , International Journal of Advances in Science, Engineering and Technology(IJASEAT) , pp. 17-26, Volume-12,Issue-2

Abstract : The rising popularity of battery-limited Electric Vehicles (EVs) put forward a significant problem of how to charge vehicles efficiently. It is termed as the Electric Vehicle Charging Scheduling (EVCS) issue. Thus, in this work, a fresh Mexican Hat Type function-centric Long Short-Term Memory (MHT-LSTM)-centered power transmission from Micro Grids (MGs) is proposed by considering Energy Management (EM) and cost reduction. For producing current, the three Renewable Energy Resources (RERs) like solar, wind, and biomass are used. Contrarily, to directly charge the vehicle and swap the battery, the EV user sends the request to the nearest Charging Station (CS) and Battery Swapping Station (BSS), respectively. Thus, for producing the charge, the nearest CS and BSS are detected utilizing MHT-LSTM, whereas the CSs with limited resources are identified utilizing Depth First Search-basedTasmanian Devil Optimization (DFS-TDO). Demand and supply are measured using power pitch analysis, and the power is produced directly to the prioritized CS. The outcomes display that the proposed system attained a maximum efficiency of 65% for EM compared to existing methods and reduced the overall cost by 45.6 % using renewable sources. Keywords - Mexican Hat Type function based Long Short Term Memory (MHT-LSTM) neural network, Depth First Search based TDO (DFS-TDO), Micro Grids (MGs), Electric Vehicle (EV) Energy Management (EM), and Cost.

Type : Research paper

Published : Volume-12,Issue-2

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