Capacity Allocation Strategy Using Virtual Synchronous Compensator for Renewable Energy Stations Based on Fuzzy Chance Constraints

Zhi Xu, Pengfei Song, Chunya Yin (), Pengpeng Kang and Baoyu Zhai
Additional contact information
Zhi Xu: Xinjiang Electric Power Research Institute, State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830002, China
Pengfei Song: State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830002, China
Chunya Yin: School of Electrical Engineering, Xinjiang University, Urumqi 830049, China
Pengpeng Kang: State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830002, China
Baoyu Zhai: Xinjiang Electric Power Research Institute, State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830002, China

Energies, 2022, vol. 15, issue 24, 1-13

Abstract: The uncertainty of high penetration of renewable energy brings challenges to the safe and stable operation of a power system; the virtual synchronous compensation (VSCOM) can shift the demand and compensate real-time discrepancy between generation and demand, and can improve the active support ability for the power system. This paper proposes a novel capacity allocation strategy using VSCOM for renewable energy stations based on fuzzy constraints. Firstly, the basic framework of the VSCOM is constructed with energy storage and reactive power generator (SVG) unit. Secondly, the inertia and standby capacity requirements of high penetration of renewable energy system are modeled; on this basis, a capacity allocation model of each sub unit of the VSCOM is developed, and the investment economy and stable support needs are considered. Thirdly, the uncertainty set of wind power output is defined based on the historical data to find a decision that minimizes the worst-case expected where the worst case should be taken. Finally, the simulation results show that the proposed optimal sizing strategy can effectively take advantage of stability and economy, and the VSCOM can meet the inertia support demand of 98.6% of a high proportion of renewable energy systems.

Keywords: virtual synchronous compensator (VSCOM); energy storage; renewable energy station; capacity configuration (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: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/24/9306/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/24/9306/ (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:15:y:2022:i:24:p:9306-:d:997502

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 ().