Optimal Configuration of Energy Storage System Coordinating Wind Turbine to Participate Power System Primary Frequency Regulation
Junhui Li,
Yunbao Ma,
Gang Mu,
Xichao Feng,
Gangui Yan,
Gan Guo and
Tianyang Zhang
Additional contact information
Junhui Li: Department of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Yunbao Ma: Department of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Gang Mu: Department of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Xichao Feng: Shenyang Power Supply Bureau, State Grid Liaoning Electric Power Company Limited, Shenyang 110811, China
Gangui Yan: Department of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Gan Guo: Department of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Tianyang Zhang: Department of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Energies, 2018, vol. 11, issue 6, 1-16
Abstract:
Large scale wind power integration has a negative influence on the frequency response. Assistant measurement improves the frequency stability of power systems under high wind penetration. The Proportional Curtailment Strategy (PCS) for wind turbines provides a primary frequency reserve for power systems. To solve the worthless curtailed wind power, the PCS is used to improve the utilization of wind power curtailment. Then the wind turbine and the lithium battery Energy Storage System (ESS) provide primary frequency reserves together. Different control strategies of ESS have been proposed based on the different methods for selecting valid reserves. The economic benefits of different control strategies have been compared based on the same frequency regulation reserve. The optimal control strategy is the maximum method. The economic benefit of the maximum value method is ¥4,445,300.
Keywords: wind power; primary frequency regulation; energy storage system; optimal control strategy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
https://www.mdpi.com/1996-1073/11/6/1396/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/6/1396/ (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:jeners:v:11:y:2018:i:6:p:1396-:d:149724
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().