Multi-Timescale Optimal Operation Strategy for Renewable Energy Power Systems Based on Inertia Evaluation

Yang Wang, Yifan Wang, Zhenghui Zhao (), Zhiquan Zhou and Zhihao Hou
Additional contact information
Yang Wang: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Yifan Wang: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Zhenghui Zhao: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Zhiquan Zhou: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Zhihao Hou: Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S102TN, UK

Energies, 2023, vol. 16, issue 8, 1-15

Abstract: To enhance the operational dependability of renewable energy power systems with high proportions, this study proposes a multi-timescale optimization strategy based on the inertia evaluation model. Firstly, the inertia evaluation model is established based on the factors influencing the inertia demand of the power system, and the concept of the inertia margin coefficient is introduced. Secondly, to address the uncertainties associated with sustainable energy output and the cost of carbon emissions, a multi-timescale optimization operation model is formulated for day-ahead, intraday, and real-time operations, aimed at economic optimization. The output status of each unit is obtained and adjusted in a timely manner in the next stage, while meeting the system’s inertia demand, to derive the final scheduling strategy. Lastly, a sensitivity analysis of the inertia margin coefficient is conducted through simulations to validate the effectiveness and cost-efficiency of the proposed scheduling strategy.

Keywords: inertia evaluation; inertia margin coefficient; multiple timescales; optimized operation (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: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/8/3577/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/8/3577/ (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:16:y:2023:i:8:p:3577-:d:1128605

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 ().