Distribution Optimal Power Flow With Energy Sharing Via a Peer-To-Peer Transactive Market
The technology advancement and cost decline of renewable and sustainable energy increase the penetration of distributed energy resources (DERs) in distribution systems. Transactive energy helps balance the local generation and demand. Peer-to-peer (P2P) energy trading is a promising business model f...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2021-07-01
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Series: | Frontiers in Energy Research |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2021.701149/full |
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author | Boshen Zheng Yue Fan Wei Wei Yourui Xu Shaowei Huang Shengwei Mei |
author_facet | Boshen Zheng Yue Fan Wei Wei Yourui Xu Shaowei Huang Shengwei Mei |
author_sort | Boshen Zheng |
collection | DOAJ |
description | The technology advancement and cost decline of renewable and sustainable energy increase the penetration of distributed energy resources (DERs) in distribution systems. Transactive energy helps balance the local generation and demand. Peer-to-peer (P2P) energy trading is a promising business model for transactive energy. Such a market scheme can increase the revenue of DER owners and reduce the waste of renewable energy. This article proposes an equilibrium model of a P2P transactive energy market. Every participant seeks the maximum personal interest, with the options of importing or providing energy from/to any other peer across different buses of the distribution network. The market equilibrium condition is obtained by combining the Karush–Kuhn–Tucker conditions of all problems of individual participants together. The energy transaction price is endogenously determined from the market equilibrium condition, which is cast as a mixed-integer linear program and solved by a commercial solver. The transactive energy flow is further embedded in the optimal power flow problem to ensure operating constraints of the distribution network. We propose a remedy to recover a near optimal solution when the second-order cone relaxation is inexact. Finally, a case study demonstrates that the proposed P2P market benefits all participants. |
first_indexed | 2024-12-17T07:02:18Z |
format | Article |
id | doaj.art-85132b0ac74c48e9af94f32fdebc9217 |
institution | Directory Open Access Journal |
issn | 2296-598X |
language | English |
last_indexed | 2024-12-17T07:02:18Z |
publishDate | 2021-07-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Energy Research |
spelling | doaj.art-85132b0ac74c48e9af94f32fdebc92172022-12-21T21:59:15ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2021-07-01910.3389/fenrg.2021.701149701149Distribution Optimal Power Flow With Energy Sharing Via a Peer-To-Peer Transactive MarketBoshen Zheng0Yue Fan1Wei Wei2Yourui Xu3Shaowei Huang4Shengwei Mei5State Key Laboratory of Power System and Generation Equipment, Department of Electrical Engineering, Tsinghua University, Beijing, ChinaState Grid Qinghai Electric Power Company, Xining, ChinaState Key Laboratory of Power System and Generation Equipment, Department of Electrical Engineering, Tsinghua University, Beijing, ChinaState Grid Qinghai Electric Power Company, Xining, ChinaState Key Laboratory of Power System and Generation Equipment, Department of Electrical Engineering, Tsinghua University, Beijing, ChinaState Key Laboratory of Power System and Generation Equipment, Department of Electrical Engineering, Tsinghua University, Beijing, ChinaThe technology advancement and cost decline of renewable and sustainable energy increase the penetration of distributed energy resources (DERs) in distribution systems. Transactive energy helps balance the local generation and demand. Peer-to-peer (P2P) energy trading is a promising business model for transactive energy. Such a market scheme can increase the revenue of DER owners and reduce the waste of renewable energy. This article proposes an equilibrium model of a P2P transactive energy market. Every participant seeks the maximum personal interest, with the options of importing or providing energy from/to any other peer across different buses of the distribution network. The market equilibrium condition is obtained by combining the Karush–Kuhn–Tucker conditions of all problems of individual participants together. The energy transaction price is endogenously determined from the market equilibrium condition, which is cast as a mixed-integer linear program and solved by a commercial solver. The transactive energy flow is further embedded in the optimal power flow problem to ensure operating constraints of the distribution network. We propose a remedy to recover a near optimal solution when the second-order cone relaxation is inexact. Finally, a case study demonstrates that the proposed P2P market benefits all participants.https://www.frontiersin.org/articles/10.3389/fenrg.2021.701149/fulldistribution networkmarket equilibriumoptimal power flowpeer-to-peer tradingtransactive energy |
spellingShingle | Boshen Zheng Yue Fan Wei Wei Yourui Xu Shaowei Huang Shengwei Mei Distribution Optimal Power Flow With Energy Sharing Via a Peer-To-Peer Transactive Market Frontiers in Energy Research distribution network market equilibrium optimal power flow peer-to-peer trading transactive energy |
title | Distribution Optimal Power Flow With Energy Sharing Via a Peer-To-Peer Transactive Market |
title_full | Distribution Optimal Power Flow With Energy Sharing Via a Peer-To-Peer Transactive Market |
title_fullStr | Distribution Optimal Power Flow With Energy Sharing Via a Peer-To-Peer Transactive Market |
title_full_unstemmed | Distribution Optimal Power Flow With Energy Sharing Via a Peer-To-Peer Transactive Market |
title_short | Distribution Optimal Power Flow With Energy Sharing Via a Peer-To-Peer Transactive Market |
title_sort | distribution optimal power flow with energy sharing via a peer to peer transactive market |
topic | distribution network market equilibrium optimal power flow peer-to-peer trading transactive energy |
url | https://www.frontiersin.org/articles/10.3389/fenrg.2021.701149/full |
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