A stochastic model for energy resources management considering demand response in smart grids
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- 作者：Joã ; o Soares ; joaps@isep.ipp.pt ; Mohammad Ali Fotouhi Ghazvini ; Nuno Borges ; Zita Vale
- 关键词：Demand response ; Electric vehicles ; Energy resource scheduling ; Smart grid ; Stochastic programming ; Uncertainty
- 刊名：Electric Power Systems Research
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：143
- 期：Complete
- 页码：599-610
- 全文大小：2644 K
- 卷排序：143
文摘
A new stochastic model for energy scheduling tackling several uncertainty sources. The sources of uncertainty are: load demand, EVs, renewables and market price. The two-stage stochastic programming approach is able to tackle the developed model. Realistic large-scale scenarios with high penetration of distributed resources. Results suggests that demand response mitigates the sources of uncertainty.