{"title":"Smooth Dual-Mode Service Fee Mechanism With Negative-Impact Voltage Assessment for Grid-Friendly P2P Energy Trading","authors":"Zongyu Yao;Jing Qiu;Jiafeng Lin;Weiyi Tian;Sihai An;Zhe Yuan","doi":"10.1109/TICPS.2026.3726012","DOIUrl":null,"url":null,"abstract":"Peer-to-peer (P2P) energy trading can intensify voltage deviations in distribution networks, whereas conventional fixed service fees do not distinguish market participants according to their voltage impacts. This paper proposes a smooth dual-mode voltage-impact service-fee mechanism for bilateral-auction-based P2P energy trading. LinDistFlow-based Voltage Sensitivity Factors (VSFs), pre-clearing voltage states, and transaction-level Negative Impact Indicators (NIIs) are combined to identify voltage-adverse trading directions. The Negative Sensitivity-Based Fee (NSBF) forms the low-stress limiting state, while a node-wise activation factor continuously introduces Voltage-Aware Adaptive Fee (VAAF) weighting as pre-clearing voltage deviations enter a prescribed transition band, thereby avoiding abrupt mode switching. Adverse and beneficial voltage movements are evaluated separately to prevent mutual offsetting. The proposed fee is embedded into an auction-compatible two-stage framework that coordinates day-ahead network scheduling with rolling sequential intra-day clearing. The day-ahead stage establishes a grid-feasible operating baseline, whereas the intra-day stage incorporates the nodal service fee into participants’ effective bids and asks without reformulating the bilateral auction as a network-constrained optimal power flow. Studies on a modified IEEE 33-bus feeder show that cumulative adverse voltage movement is reduced by 32.91% and 39.47% relative to fixed fees under normal low- and high-voltage conditions, respectively. Under the voltage-stressed condition, the smooth mechanism reduces adverse voltage movement by 20.13% relative to NSBF while preserving the same total P2P trading volume. Nonlinear AC power-flow validation shows that the maximum error in the incremental P2P-induced voltage movement remains below <inline-formula><tex-math>$7.36 \\times {{10}^{ - 4}}$</tex-math></inline-formula> p.u., with a minimum Pearson correlation of 0.999473 and preserved comparative ordering among the evaluated mechanisms.","PeriodicalId":100640,"journal":{"name":"IEEE Transactions on Industrial Cyber-Physical Systems","volume":"4 ","pages":"917-934"},"PeriodicalIF":7.4000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Industrial Cyber-Physical Systems","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/11661635/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/8/21 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Peer-to-peer (P2P) energy trading can intensify voltage deviations in distribution networks, whereas conventional fixed service fees do not distinguish market participants according to their voltage impacts. This paper proposes a smooth dual-mode voltage-impact service-fee mechanism for bilateral-auction-based P2P energy trading. LinDistFlow-based Voltage Sensitivity Factors (VSFs), pre-clearing voltage states, and transaction-level Negative Impact Indicators (NIIs) are combined to identify voltage-adverse trading directions. The Negative Sensitivity-Based Fee (NSBF) forms the low-stress limiting state, while a node-wise activation factor continuously introduces Voltage-Aware Adaptive Fee (VAAF) weighting as pre-clearing voltage deviations enter a prescribed transition band, thereby avoiding abrupt mode switching. Adverse and beneficial voltage movements are evaluated separately to prevent mutual offsetting. The proposed fee is embedded into an auction-compatible two-stage framework that coordinates day-ahead network scheduling with rolling sequential intra-day clearing. The day-ahead stage establishes a grid-feasible operating baseline, whereas the intra-day stage incorporates the nodal service fee into participants’ effective bids and asks without reformulating the bilateral auction as a network-constrained optimal power flow. Studies on a modified IEEE 33-bus feeder show that cumulative adverse voltage movement is reduced by 32.91% and 39.47% relative to fixed fees under normal low- and high-voltage conditions, respectively. Under the voltage-stressed condition, the smooth mechanism reduces adverse voltage movement by 20.13% relative to NSBF while preserving the same total P2P trading volume. Nonlinear AC power-flow validation shows that the maximum error in the incremental P2P-induced voltage movement remains below $7.36 \times {{10}^{ - 4}}$ p.u., with a minimum Pearson correlation of 0.999473 and preserved comparative ordering among the evaluated mechanisms.