Open AccessOptimal configuration of energy storage capacity in wind farms based on cloud energy storage service
Author(s) -
Chen Ting,
Yang Junjie,
Jiang Wei,
Sui Zhicheng,
Wang Yujie
Publication year - 2021
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/rpg2.12282
Subject(s) - energy storage , wind power , intermittent energy source , renewable energy , pumped storage hydroelectricity , cloud storage , computer science , reliability engineering , environmental economics , cloud computing , power (physics) , engineering , distributed generation , electrical engineering , economics , physics , quantum mechanics , operating system
In wind farms, the energy storage system can realize the time and space transfer of energy, alleviate the intermittency of renewable energy and enhance the flexibility of the system. However, the high cost limits its large‐scale application. Cloud energy storage (CES) can provide users with leasing energy storage service at a relatively lower price, and can provide energy trading service. Wind farms can lease CES and participate in energy transaction to reduce the cost of energy storage and suppress wind power fluctuations. This paper proposes a framework of wind farm system based on CES service, and designs a power allocation strategy. Considering whole‐life‐cycle cost of the self‐built energy storage, leasing and trading cost of the CES and penalty cost of wind abandonment and smooth power shortage, an optimal configuration model of combined energy storage capacity in wind farms based on CES service was established to minimize the total annual cost. Taking a wind farm in Germany as a case study, it is verified that the model in this paper can effectively reduce the cost, extend the service life of self‐built energy storage equipment and suppress the wind power fluctuations.