Modeling of Electric Vehicle Charging Systems in Communications Enabled Smart Grids
スポンサーリンク
概要
- 論文の詳細を見る
We consider a queuing model with applications to electric vehicle (EV) charging systems in smart grids. We adopt a scheme where an Electric Service Company (ESCo) broadcasts a one bit signal to EVs, possibly indicating ‘on-peak’ periods during which electricity cost is high. EVs randomly suspend/resume charging based on the signal. To model the dynamics of EVs we propose an M/M/∞ queue with random interruptions, and analyze the dynamics using time-scale decomposition. There exists a trade-off: one may postpone charging activity to ‘off-peak’ periods during which electricity cost is cheaper, however this incurs extra delay in completion of charging. Using our model we characterize achievable trade-offs between the mean cost and delay perceived by users. Next we consider a scenario where EVs respond to the signal based on the individual loads. Simulation results show that peak electricity demand can be reduced if EVs carrying higher loads are less sensitive to the signal.
論文 | ランダム
- 大豆からのしんしゅつ成分挙動に及ぼす浸漬温度の影響
- 豆乳の品質に及ぼす生しぼり温度の影響
- 大豆サポニン分解酵素生産菌の検索と酵素生成に及ぼす配糖体成分の影響(食品-加工, 保蔵-)
- 生揚醤油の火入れ〓生成に及ぼす因子
- 精神病患者の歯牙の物理的傷害