EconPapers    
Economics at your fingertips  
 

A Two-Stage Robust Optimization Strategy for Long-Term Energy Storage and Cascaded Utilization of Cold and Heat Energy in Peer-to-Peer Electricity Energy Trading

Yun Chen, Yunhao Zhao (), Xinghao Zhang, Ying Wang, Rongyao Mi, Junxiao Song, Zhiguo Hao and Chuanbo Xu
Additional contact information
Yun Chen: State Grid Qinghai Electric Power Company, Xining 810016, China
Yunhao Zhao: National Institute of Energy Development Strategy, North China Electric Power University, Beijing 102206, China
Xinghao Zhang: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Ying Wang: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Rongyao Mi: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Junxiao Song: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Zhiguo Hao: School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Chuanbo Xu: School of Economics and Management, North China Electric Power University, Beijing 102206, China

Energies, 2025, vol. 18, issue 2, 1-26

Abstract: This study addresses the optimization of urban integrated energy systems (UIESs) under uncertainty in peer-to-peer (P2P) electricity trading by introducing a two-stage robust optimization strategy. The strategy includes a UIES model with a photovoltaic (PV)–green roof, hydrogen storage, and cascading cold/heat energy subsystems. The first stage optimizes energy trading volume to maximize social welfare, while the second stage maximizes operational profit, considering uncertainties in PV generation and power prices. The Nested Column and Constraint Generation (NC&CG) algorithm enhances privacy and solution precision. Case studies with three UIESs show that the model improves economic performance, energy efficiency, and sustainability, increasing profits by 1.5% over non-P2P scenarios. Adjusting the robustness and deviation factors significantly impacts P2P transaction volumes and profits, allowing system operators to optimize profits and make risk-aligned decisions.

Keywords: P2P electricity energy trading; UIESs; PV–green roofs; hydrogen energy storage; cold and heat energy cascade utilization; NC&CG (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: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/18/2/323/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/2/323/ (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:18:y:2025:i:2:p:323-:d:1565860

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 ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:18:y:2025:i:2:p:323-:d:1565860