Control Strategy of the Pumped Storage Unit to Deal with the Fluctuation of Wind and Photovoltaic Power in Microgrid

Guangyi Wu, Xiangxin Shao, Hong Jiang, Shaoxin Chen, Yibing Zhou and Hongyang Xu
Additional contact information
Guangyi Wu: College of Electrical and Electronics Engineering, Changchun University of Technology, Changchun 130000, China
Xiangxin Shao: College of Electrical and Electronics Engineering, Changchun University of Technology, Changchun 130000, China
Hong Jiang: College of Electrical and Electronics Engineering, Changchun University of Technology, Changchun 130000, China
Shaoxin Chen: State Grid Dandong Power Supply Company, Dandong 118000, China
Yibing Zhou: State Grid JiLin Construction Company, Changchun 130000, China
Hongyang Xu: The Third Harbin Power Plant with Huadian Energy Power Source, Harbin 150024, China

Energies, 2020, vol. 13, issue 2, 1-23

Abstract: With the development and utilization of distributed energy and microgrid, distributed energy storage has become a new development trend. However, small pumped storage units have the advantages of flexible engineering location, low investment, quick effect, low requirements on transmission lines, and a better solution to the peak load demand of the system. Therefore, it is more and more used in the microgrid, and it conducts joint dispatching with wind power, photovoltaic, and other clean energies. To solve the capacity problem of small pumped storage units within the microgrid, a new control strategy is proposed in this paper. Two pumped storage units are used for joint operations. Taking the smoothed combined output power of wind power, photovoltaic power, and pumped storage power as the target, and considering the limitations of transmission lines, the constraints of wind power and photovoltaic power fields as well as the restrictions of pumped storage power units and corresponding reservoirs are taken into account. In this paper, social particle swarm optimization (SPSO) with improved weight is used to calculate and solve the model. The effectiveness of the new control strategy is verified.

Keywords: renewable energies; microgrid dispatch; pumped storage unit; control strategy; particle swarm optimization (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/2/415/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/2/415/ (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:13:y:2020:i:2:p:415-:d:308811

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 ().