Sizing energy storage to reduce renewable power curtailment considering network power flows: a distributionally robust optimisation approach

Author:

Guo Zhongjie1ORCID,Wei Wei1,Chen Laijun1,Xie Rui1,Mei Shengwei1

Affiliation:

1. State Key Laboratory of Power SystemsDepartment of Electrical EngineeringTsinghua University100084BeijingPeople's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Reference35 articles.

1. G. Council: ‘Global wind statistic 2017’ 2018. Available athttps://gwec.net/members‐area‐market‐intelligence/reports/

2. IEA‐PVPS: ‘IEA‐PVPS Annual Report 2017’ 2018. Available athttp://www.iea‐pvps.org/

3. Wind power curtailment and energy storage in transmission congestion management considering power plants ramp rates;Vargas L.S.;IEEE Trans. Power Syst.,2015

4. China National Energy Administration: ‘Action plan of clean energy consumption (2018–2020)’ 2018. Available athttp://www.ndrc.gov.cn/zcfb/gfxwj/201812

5. Incorporating large‐scale distant wind farms in probabilistic transmission expansion planning‐part I: theory and algorithm;Moeini‐Aghtaie M.;IEEE Trans. Power Syst.,2011

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