Multi-level trading community formation and hybrid trading network construction in local energy market
Multi-level trading community formation and hybrid trading network construction in local energy market
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DOI：
10.1016/j.apenergy.2020.116399
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发表时间：
2021-03
期刊：
影响因子：
11.2
通讯作者：
Li Ma;Lingfeng Wang;Zhaoxi Liu
中科院分区：
文献类型：
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作者：
Li Ma;Lingfeng Wang;Zhaoxi Liu
以社区为基础的交易结构在地方能源市场的发展中发挥着重要作用。本文提出了一种基于Lp-box共识交替方向乘数法（ADMM）的分散式交易社区形成优化模型，其中物理系统的网络特征分别用局部交易级的功率损耗和区域交易级的轮转充电来明确表示。介绍了多层次混合交易网络构建的框架，涉及三种不同的交易模式：e .基于交易社区形成结果，开发了传统交易模式、基于代理的交易模式和点对点（P2P）交易模式，以及传统交易与基于代理的交易（TA）和传统交易与基于点对点交易与基于代理的交易（TPA）两种混合交易网络。并分别针对TA和TPA混合交易网络提出了相应的利润分配方案。采用一组复杂网络指标分析TA和TPA交易拓扑的网络特征，采用链路熵（link entropy， LE）指标评价通信关系网络在保持全局连通性方面的边缘重要性。最后，通过一个测试系统验证了所提出的模型，该测试系统通过IEEE 9总线系统连接了6个IEEE 33总线系统。结果表明，与基于SDR和基于贡献的策略相比，基于agent的策略可以使所有实体受益，而基于REO（可再生能源产出）优先的P2P配对策略对REO较大的销售实体的刺激比距离优先模式更大。此外，无论是代理交易还是P2P交易，双层交易的实体价格都比单层交易有显著提高。TA的复合指数值均略大于TPA，管理者越少的馈线LE值可能越大。本文提出的交易社区形成模型和交易网络形成模型为可持续lem的发展提供了重要的手段。
Community-based trading structures play important roles in the development of local energy market (LEM). In this paper, a decentralized optimization model for the trading community formation is proposed based on the Lp-box consensus alternating direction method of multipliers (ADMM), where the network features of the physical systems are explicitly represented by power loss and wheeling charging in local and regional trading level, respectively. The framework for multi-level hybrid trading network construction is introduced involving three different trading modes,i.e, traditional trading mode, agent-based trading mode and peer-to-peer (P2P) trading mode, and two hybrid trading networks, namely Traditional trading & Agent based trading (TA) and Traditional trading & Peer-to-peer trading & Agent based trading (TPA), are developed based on the trading community formation results. The corresponding profit allocation schemes are also presented for the TA and TPA hybrid trading networks respectively. A set of complex network indices is applied to analyze the network characteristics of the TA and TPA trading topologies, while the link entropy (LE) index is used to evaluate the edge significance of the communication relationship network in maintaining global connectivity. Finally, the proposed models are validated via a test system with six IEEE 33-bus systems connected through the IEEE 9-bus system. The results show that the agent-based strategy can benefit all entities compared with the SDR and contribution-based strategies, while the REO (renewable energy output)-first strategy proposed for P2P pairing is more stimulating for the selling entities with larger REOs than distance-first mode. In addition, the entities’ prices in the bi-level trading are significantly improved compared with those of the single-level trading both for agent-based trading and P2P trading. The complex index values of TA are all slightly greater than those of TPA, and a feeder with fewer managers is likely to have a larger LE value. The proposed models for trading community formation and trading network formation provide significant means for the development of sustainable LEMs.