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Stochastic programming model for scheduling demand response aggregators considering uncertain market prices and demands

  • Published:2019-12 Issue: Volume:113 Page:528-538
  • ISSN:0142-0615
  • Container-title:International Journal of Electrical Power & Energy Systems
  • language:en
  • Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Rashidizadeh-Kermani Homa,Vahedipour-Dahraie Mostafa,Shafie-khah Miadreza,Catalão João P.S.

Funder

FEDER

FCT

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference32 articles.

1. F. E. a. R. Commission. Assessment of demand response and advanced metering. Washington, DC: Department of Energy; 2013.

2. ISO’s optimal strategies for scheduling the hourly demand response in day-ahead markets;Parvania;IEEE Trans Power Syst,2014

3. A framework for incorporating demand response of smart buildings into the integrated heat and electricity energy system;Shao;IEEE Trans Ind Electron,2019

4. Stochastic profit-based scheduling of industrial virtual power plant using the best demand response strategy;Nosratabadi;Appl Energy,2016

5. Optimal demand response aggregation inwholesale electricity markets;Parvania;IEEE Trans Smart Grid,2013

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