… Considering above probabilisticanalysis, future contingencies … , ie, one cluster (smartgrid) constant stabilization required to … transient stability analysisusingV2G in case of smartgrids. …
B Bibak, H Tekiner-Mogulkoc - Sustainable Energy, Grids and Networks, 2021 - Elsevier
… As a solution, there is a huge tendency to integrate the RESs with the EVs and the V2G in the smartgrid to minimize reliance on petroleum products, satisfy the power demand and …
… scheme for V2G operation based on the scenario of stochastic PEV connection to smartgrid is … Finally, statistic analysis results demonstrate that our proposed V2G scheduling scheme …
M Adnan, I Ahmed, S Iqbal - Computers and Electrical Engineering, 2024 - Elsevier
… To solve this concern, the advanced probabilistic model is … it through transmission network planning using a supersmart … (CSRs) and vehicletogrid (V2G) topologies integrated in an …
M Adnan, M Ali, M Tariq - 2019 15th International Conference …, 2019 - ieeexplore.ieee.org
… side through the sophisticated design of smart node through … decisions in stabilizing the power system network through LFB … through fuzzy co-operative control mechanism usingv2g,” …
… The complete probabilistic model of the system is also … SG or near the fault occurrence area to stabilize the system, even in … transient stability analysis in supersmart girds usingV2G. In …
M Fahad, H Beenish - 2019 1st Global Power, Energy and …, 2019 - ieeexplore.ieee.org
… stabilization of image is done during the process of acquisition. … vehicles and smartgrid with Intelligent transport system … and power grid connection with the battery’s probability [6]. …
B Singh, PK Dubey, SN Singh - 2022 IEEE 9th Uttar Pradesh …, 2022 - ieeexplore.ieee.org
… , we can infer that using EVs in the smartgrid can assist to … thermal turbine units in stabilizing while load needs vary [22]. … of a V2G enabled bilateral offboard EV battery charger on grid …
… Vehicle-to-Grid (V2G) technology with bi-directional flow of power provides the grid with … In this paper, an optimal V2G control strategy using Deep Reinforcement Learning (DRL) is …