Demand Side Management Technique to Optimally Schedule Electric Vehicle Loads in Smart Grid
G. Harsha Nikhanj1, G. D. V. N. S. L. Kuma2, Swapna Ganapaneni3, Sk.Moulali4
1G. Harsha Nikhanj , B.Tech, Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
2G. D. V. N. S. L. Kumar, B.Tech, Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
3Swapna Ganapaneni, Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
4Sk.Moulali, Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
Manuscript received on November 19, 2019. | Revised Manuscript received on November 29 2019. | Manuscript published on 30 November, 2019. | PP: 10043-10046 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9437118419/2019©BEIESP | DOI: 10.35940/ijrte.D9437.118419
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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: Demand-side management (DSM) in smart grids helps the problem of reducing peak load of utilities during certain hourly periods. Based on DSM techniques, peak load hours can be equalized to non-peak load hours therefore users will have less bill payments. In this paper optimal scheduling of Electric Vehicles (EVs) is done based on an objective function formulated to minimize the load variations. Firstly, hourly consumption of load during a day at Koneru Lakshmaiah Education Foundation is considered, EVs load is assumed and flattened the aggregated load curve by optimally scheduling the EVs during off peak hours.
Keywords: PV Demand Side Management, Electric Vehicles, Load Scheduling.
Scope of the Article: Network Management, Reliability and QoS.