Open AccessDemand Side Management Technique to Optimally Schedule Electric Vehicle Loads in Smart Grid
Author(s) -
G. Harsha Nikhanj*,
Gautam Kumar,
Swapna Ganapaneni,
Sk. Moulali
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d9437.118419
Subject(s) - smart grid , demand side , schedule , load shifting , demand response , computer science , grid , load balancing (electrical power) , scheduling (production processes) , load management , peak load , electric vehicle , automotive engineering , electricity , reliability engineering , engineering , electrical engineering , operations management , mathematics , economics , environmental economics , power (physics) , physics , geometry , quantum mechanics , operating system
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.