A Bi-Level Peak Regulation Optimization Model for Power Systems Considering Ramping Capability and Demand Response

Linbo Fang, Wei Peng, Youliang Li, Zi Yang, Yi Sun, Hang Liu, Lei Xu, Lei Sun () and Weikang Fang
Additional contact information
Linbo Fang: State Grid Anhui Electric Power Company, Hefei 230061, China
Wei Peng: State Grid Anhui Electric Power Company, Hefei 230061, China
Youliang Li: State Grid Anhui Electric Power Company, Hefei 230061, China
Zi Yang: State Grid Anhui Electric Power Company, Hefei 230061, China
Yi Sun: State Grid Anhui Electric Power Company, Hefei 230061, China
Hang Liu: State Grid Anhui Electric Power Company, Hefei 230061, China
Lei Xu: State Grid Anhui Electric Power Company, Hefei 230061, China
Lei Sun: School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
Weikang Fang: School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China

Energies, 2024, vol. 17, issue 19, 1-17

Abstract: In the context of constructing new power systems, the intermittency and volatility of high-penetration renewable generation pose new challenges to the stability and secure operation of power systems. Enhancing the ramping capability of power systems has become a crucial measure for addressing these challenges. Therefore, this paper proposes a bi-level peak regulation optimization model for power systems considering ramping capability and demand response, aiming to mitigate the challenges that the uncertainty and volatility of renewable energy generation impose on power system operations. Firstly, the upper-level model focuses on minimizing the ramping demand caused by the uncertainty, taking into account concerned constraints such as the constraint of price-guided demand response, the constraint of satisfaction with electricity usage patterns, and the constraint of cost satisfaction. By solving the upper-level model, the ramping demand of the power system can be reduced. Secondly, the lower-level model aims to minimize the overall cost of the power system, considering constraints such as power balance constraints, power flow constraints, ramping capability constraints of thermal power units, stepwise ramp rate calculation constraints, and constraints of carbon capture units. Based on the ramping demand obtained by solving the upper-level model, the outputs of the generation units are optimized to reduce operation cost of power systems. Finally, the proposed peak regulation optimization model is verified through simulation based on the IEEE 39-bus system. The results indicate that the proposed model, which incorporates ramping capability and demand response, effectively reduces the comprehensive operational cost of the power system.

Keywords: ramping demand; ramping capability; peak regulation optimization; carbon capture power units (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: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/19/4892/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/19/4892/ (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:17:y:2024:i:19:p:4892-:d:1488940

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 ().