Optimized configuration of energy storage capacity of wind farms using cloud energy storage leasing services

Authors

Xiafei TANG, Hunan Collaborative Innovation Center for Clean Energy and Smart Grid (Changsha University of Science and Technology), Changsha 410004 , China
Xianxiang WU, Hunan Collaborative Innovation Center for Clean Energy and Smart Grid (Changsha University of Science and Technology), Changsha 410004 , China
Qingqing REN, State Grid Jiangxi Electric Power Co , Ltd Pingxiang Power Supply Branch
Junbo CAO, State GridShandong Electric Power Company Zaozhuang Power Supply Company, Zaozhuang 277000 , China
Boyang ZHOU, Hunan Collaborative Innovation Center for Clean Energy and Smart Grid (Changsha University of Science and Technology), Changsha 410004 , China
Bin LI, Hunan Collaborative Innovation Center for Clean Energy and Smart Grid (Changsha University of Science and Technology), Changsha 410004 , China
Renjun ZHOU, Hunan Collaborative Innovation Center for Clean Energy and Smart Grid (Changsha University of Science and Technology), Changsha 410004 , China

Keywords

cloud energy storage, cloud energy storage capacity optimization, wind power fluctuations, storage capacity configuration

Abstract

Cloud energy storage can aggregate a large amount of distributed energy storage and centralized energy storage control information. The wind farm can realize the controllability of the output power by renting cloud energy storage and selfbuilt physical energy storage. In order to extend the service life of selfbuilt energy storage equipment, a power allocation strategy is designed. Based on the life cycle cost of selfbuilt energy storage equipment, cloud energy storage energy lease cost, abandoned wind penalty cost, and minimum power shortage penalty cost, the optimal configuration model of the selfbuilt energy storage and the leased cloud energy storage capacity is established for a wind farm. Simulation analysis shows that the energy rental unit prices of different cloud energy storage will affect the cloud energy storage energy utilization, charge and discharge results, thus affecting the optimal configuration capacity of selfbuiltenergy storage. The reasonable allocation of cloud energy storage energy lease and selfbuilt physical energy storage has good economy and practicality.

DOI

10.19781/j.issn.16739140.2020.01.011

First Page

90

Last Page

95

Recommended Citation

TANG, Xiafei; WU, Xianxiang; REN, Qingqing; CAO, Junbo; ZHOU, Boyang; LI, Bin; and ZHOU, Renjun (2020) "Optimized configuration of energy storage capacity of wind farms using cloud energy storage leasing services," Journal of Electric Power Science and Technology: Vol. 35: Iss. 1, Article 11.
DOI: 10.19781/j.issn.16739140.2020.01.011
Available at: https://jepst.researchcommons.org/journal/vol35/iss1/11