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
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 cascadin...
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| Format: | Article |
| Language: | English |
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2025-01-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/2/323 |
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| author | Yun Chen Yunhao Zhao Xinghao Zhang Ying Wang Rongyao Mi Junxiao Song Zhiguo Hao Chuanbo Xu |
| author_facet | Yun Chen Yunhao Zhao Xinghao Zhang Ying Wang Rongyao Mi Junxiao Song Zhiguo Hao Chuanbo Xu |
| author_sort | Yun Chen |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-ef649a3268f3452ead06322556a56689 |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-ef649a3268f3452ead06322556a566892025-01-24T13:31:03ZengMDPI AGEnergies1996-10732025-01-0118232310.3390/en18020323A Two-Stage Robust Optimization Strategy for Long-Term Energy Storage and Cascaded Utilization of Cold and Heat Energy in Peer-to-Peer Electricity Energy TradingYun Chen0Yunhao Zhao1Xinghao Zhang2Ying Wang3Rongyao Mi4Junxiao Song5Zhiguo Hao6Chuanbo Xu7State Grid Qinghai Electric Power Company, Xining 810016, ChinaNational Institute of Energy Development Strategy, North China Electric Power University, Beijing 102206, ChinaSchool of Economics and Management, North China Electric Power University, Beijing 102206, ChinaSchool of Economics and Management, North China Electric Power University, Beijing 102206, ChinaSchool of Economics and Management, North China Electric Power University, Beijing 102206, ChinaSchool of Economics and Management, North China Electric Power University, Beijing 102206, ChinaSchool of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaSchool of Economics and Management, North China Electric Power University, Beijing 102206, ChinaThis 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.https://www.mdpi.com/1996-1073/18/2/323P2P electricity energy tradingUIESsPV–green roofshydrogen energy storagecold and heat energy cascade utilizationNC&CG |
| spellingShingle | Yun Chen Yunhao Zhao Xinghao Zhang Ying Wang Rongyao Mi Junxiao Song Zhiguo Hao Chuanbo Xu 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 Energies P2P electricity energy trading UIESs PV–green roofs hydrogen energy storage cold and heat energy cascade utilization NC&CG |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | P2P electricity energy trading UIESs PV–green roofs hydrogen energy storage cold and heat energy cascade utilization NC&CG |
| url | https://www.mdpi.com/1996-1073/18/2/323 |
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