A New Plug in EV Strategy for Mitigation of Power Variations in Distribution systems
J.T. Ramalingeswar1, K. Subramanian2

1J T Ramalingeswar*, School of Electrical Engineering, VIT University, Vellore, India.
2K.Subramanian, School of Electrical Engineering, VIT University, Vellore, India.

Manuscript received on October 13, 2019. | Revised Manuscript received on 23 October, 2019. | Manuscript published on November 10, 2019. | PP: 1166-1171 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4498119119/2019©BEIESP | DOI: 10.35940/ijitee.A4498.119119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Increasing penetration levels of renewable energy sources in electrical grid distribution systems causes raped power variations drawing from the penetration levels variation in electrical vehicle charging creates the problem in the unity grid. In this paper a new artificial intelligence control technique is introduced in electrical vehicles in order to reduce the power variations caused by the solar power and high low demand. The fluctuations in electrical vehicle scheduling with energy storage has been studied the main effort is the minimizing of power variations in slack bus from the specified value and high utilization storage capability. Energy forecasting and renewable power generation are major considerations in electrical vehicle scheduling. The fuzzy technique is used to define power storage rate of electrical vehicles. Buttery life time was taken as key aspect and parameters that cause buttery degradation are considered while prioritizing PEVs for grid support. However, primary purpose of PEV (to travel) is given highest priority by ensuring maximum energy level before starting a trip.
Keywords: PEV, ESU, Fuzzy Controller, load Scheduling and Flattening.
Scope of the Article: Fuzzy Logics