计算机科学
马尔可夫链
灵活性(工程)
调度(生产过程)
不完美的
可再生能源
操作员(生物学)
数学优化
电动汽车
功率(物理)
工程类
数学
电气工程
物理
机器学习
哲学
抑制因子
统计
化学
基因
转录因子
量子力学
生物化学
语言学
作者
Marjan Yazdani,Abouzar Estebsari,Motahhareh Estebsari,Roozbeh Rajabi
标识
DOI:10.1109/eeeic.2019.8783749
摘要
Integration of renewable energy resources in distribution networks with intermittent behaviour increases the challenge of power balance in transmission systems. To mitigate the undesired impacts, transmission operator involves distribution operators to get local contribution from their flexible resources. In this paper, we address the flexibility offered by some electric car sharing agents which can serve some reserve capacity to distribution system. A Markov Chain modelling based approach is proposed to support system operator to properly estimate the number of electric vehicles required to be booked in advance as reserve. Underestimation would result in imperfect demand correction, and overestimation would imply extra costs. Using a realistic case under a near future scenario of high PV integration and EV accommodation, we demonstrate the contribution of our approach to this problem of planning or scheduling. Obtained results quantifies the performance of the proposed method in terms of average energy difference based on number of EVs. The results can be used as a basis to decide the appropriate number of EV reservations.
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