Energy Storage Capacity Planning Method for Improving Offshore Wind Power Consumption

Hao Yu, Xiaojuan Yang (), Honglin Chen, Suhua Lou and Yong Lin
Additional contact information
Hao Yu: Grid Planning & Research Center of Guangdong Power Grid Co., Ltd., Guangzhou 510060, China
Xiaojuan Yang: School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Honglin Chen: Grid Planning & Research Center of Guangdong Power Grid Co., Ltd., Guangzhou 510060, China
Suhua Lou: School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Yong Lin: Grid Planning & Research Center of Guangdong Power Grid Co., Ltd., Guangzhou 510060, China

Sustainability, 2022, vol. 14, issue 21, 1-15

Abstract: This paper proposes a method of energy storage capacity planning for improving offshore wind power consumption. Firstly, an optimization model of offshore wind power storage capacity planning is established, which takes into account the annual load development demand, the uncertainty of offshore wind power, various types of power sources and line structure. The model aims at the lowest cost of investment, operation and maintenance of the system, and takes lower than a certain abandoned wind level as the strict constraint to obtain two parameters of power capacity and energy capacity of energy storage on the source side. Secondly, taking a coastal power grid as a typical case, the energy storage capacity planning method is verified. Finally, the key factors affecting offshore wind power consumption are summarized, and the sensitivity analysis is carried out from the point of view of the transmission protocol of the transmission lines outside the province and the capacity allocation of the tie lines in the province. This study will be helpful for the planning and operation of the high-proportion of offshore wind energy power systems.

Keywords: offshore wind power; energy storage system; wind power consumption; planning optimization model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/21/14589/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/21/14589/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:21:p:14589-:d:964821

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().