| 引用本文: | 周玮,王誉颖,芝昕雨,等.计及P2P市场产消者灵活性的配电网阻塞管理[J].电力系统保护与控制,2024,52(15):91-104.[点击复制] |
| ZHOU Wei,WANG Yuying,ZHI Xinyu,et al.Distribution network congestion management considering the flexibility of prosumers in P2P markets[J].Power System Protection and Control,2024,52(15):91-104[点击复制] |
|
| 摘要: |
| 多点接入的柔性负荷和可再生分布式电源会使配网潮流大小和方向频繁变动，而配电侧产消者通常仅考虑自身效益最大为目标进行端对端(peer-to-peer, P2P)电能交易，忽略了不同设备能量流动对系统安全运行的影响，使得交易结果极易导致网络阻塞。针对采用连续双向拍卖机制和零智商增强型投标策略的分散式P2P交易模式所引起的配网阻塞，兼顾产消者数据隐私管理和消费心理学影响，提出一种两级市场动态协调阻塞管理方法。该方法以产消者综合效益最大和解决网络阻塞调节量最小为目标，利用Distflow潮流模型，构建基于节点边际电价的节点灵活性辅助服务价格计算模型。进而通过分布式优化算法求解得到阻塞成本，将该成本按照P2P交易时序和线路阻塞贡献度分摊至有责任的产消者，实现阻塞消除。算例采用IEEE 33节点改进的11节点配网系统，结果表明该方法可在设定的时间尺度和计算精度条件下有效解决网络阻塞，降低阻塞成本和分散式P2P电能交易的效益损失。 |
| 关键词: P2P能源交易 配电网 阻塞管理 分布式能源 灵活性辅助服务 |
| DOI：10.19783/j.cnki.pspc.231608 |
| 投稿时间：2023-12-18修订日期：2024-05-21 |
| 基金项目:国家自然科学基金联合基金重点项目资助(U22A20223)；安徽省高校科研项目资助(2023AH050074) |
|
| Distribution network congestion management considering the flexibility of prosumers in P2P markets |
| ZHOU Wei1,WANG Yuying2,ZHI Xinyu1,PENG Feixiang3,XU Lianchun4,GAO Jiyang1 |
| (1. School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China; 2. Shinan Power
Supply Branch of State Grid Chongqing Electric Power Company, Chongqing 401336, China; 3. School of
Electrical Engineering and Automation, Anhui University, Hefei 230601, China; 4. Dalian Power
Supply Company, State Grid Liaoning Electric Power Company, Dalian 116001, China) |
| Abstract: |
| Multi-point access of flexible loads and renewable distributed energy sources can lead to frequent changes in the magnitude and direction of distribution network flows. On the distribution side, prosumers often engage in peer-to-peer (P2P) energy trading with the sole goal of maximizing their own benefits, neglecting the impact of energy flows from different devices on the safe operation of the system. This makes transactions results easily lead to network congestion. This paper addresses the network congestion caused by the decentralized P2P trading model using continuous double auction mechanism and zero-intelligence enhanced bidding strategies, taking into account prosumer data privacy management and consumer psychology. A two-tier market dynamic coordination congestion management method is proposed. This aims to maximize the overall benefits of prosumers and minimize the adjustment of network congestion, using the Distflow model to construct a node flexibility ancillary service price calculation model based on node marginal electricity prices. Subsequently, the congestion cost is obtained through distributed optimization algorithms, and the cost is allocated to responsible prosumers based on the sequence of P2P transactions and the contribution of line congestion. This achieves elimination of congestion. A case study using an improved 11-bus distribution system based on the IEEE 33-bus system demonstrates that the proposed method can effectively address network congestion over specified time scales and computational accuracy conditions, reducing congestion costs and losses in decentralized P2P energy trading benefits. |
| Key words: P2P energy trading distribution network congestion management distributed energy resources flexibility ancillary services |
