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Co‐optimisation model for the long‐term design and decision making in community level cloud energy storage system

  • Published:2020-12 Issue:17 Volume:14 Page:3518-3525
  • ISSN:1752-1416
  • Container-title:IET Renewable Power Generation
  • language:en
  • Short-container-title:IET Renewable Power Generation

Author:

Li Xiangyu1,Chen Guo1,Dong Zhao Yang1ORCID

Affiliation:

1. School of Electrical Engineering and TelecommunicationsUniversity of New South WalesSydneyNSW2052Australia

Funder

Australian Research Council

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Reference30 articles.

1. Assessment of utility side cost savings from battery energy storage;Alt J.T.;IEEE Trans. Power Syst.,1997

2. Real‐time coordinated voltage support with battery energy storage in a distribution grid equipped with medium‐scale PV generation;Krata J.;IEEE Trans. Smart Grid,2019

3. Optimal power scheduling for smart grids considering controllable loads and high penetration of photovoltaic generation;Ziadi Z.;IEEE Trans. Smart Grid,2014

4. Economic analysis for demand‐side hybrid photovoltaic and battery energy storage system;Su W.;IEEE Trans. Ind. Appl.,2011

5. Cloud energy storage for grid scale applications in the UK;Rappaport R.D.;Energy Policy,2017
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