Smart Charging Management System of Plugged-in EVs for Optimal Operation of Future Power Systems

Konferenz: NEIS 2017 - Conference on Sustainable Energy Supply and Energy Storage Systems
21.09.2017 - 22.09.2017 in Hamburg, Deutschland

Tagungsband: NEIS 2017

Seiten: 6Sprache: EnglischTyp: PDF

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Ameli, Ali; Krauter, Stefan (University of Paderborn, Paderborn, Germany)
Ameli, Mohammad Taghi (Shahid Beheshti University, Tehran, Iran)
Hanitsch, Rolf (Technical University of Berlin, Berlin, Germany)
Ameli, Hossein (Imperial College London, London, UK)

The presence of Electric Vehicles (EVs) in households in the near future of power distribution networks is inevitable as the EVs worldwide popularity is growing increasingly. Distributed generations and electric vehicles will form the major parts of the future smart grids, which are expanding rapidly. In big cities emission caused by internal combustion vehicles and also noise pollution has led people and officials to use electric vehicles that are contamination-free. Furthermore, power system stability and security is becoming recently a challenging issue due to the high penetration level of renewable energies in the power generation mix. The reason of these challenges is due to the unpredictable and variable nature of renewable energies such as wind and solar. In this paper, a real-time, smart and uncomplicated charging management (SCM) method is proposed for the plugged-in EVs charging procedure applying smart grid capabilities. Essential grid operation constraints, including overload occurrence, system loss reduction is considered. In addition to this, market energy prices were also tracked as a decision signal. The proposed control method is evaluated in a standard 31-bus IEEE distribution network in the MATLAB/ SIMULINK environment. Real data of users driving behaviors utilized from published studies is applied into the model to obtain realistic results.