A Novel Peer-to-Peer Local Electricity Market for Joint Trading of Energy and Uncertainty

灵活性(工程) 点对点 光伏系统 需求响应 电力系统 需求预测 分布式发电 电力市场 发电 环境经济学 计算机科学 经济 业务 可再生能源 功率(物理) 运筹学 工程类 分布式计算 电气工程 管理 物理 量子力学
作者
Zhong Zhang,Ran Li,Chenghong Gu
出处
期刊:IEEE Transactions on Smart Grid [Institute of Electrical and Electronics Engineers]
卷期号:11 (2): 1205-1215 被引量:182
标识
DOI:10.1109/tsg.2019.2933574
摘要

In the future power system, an increasing number of distributed energy resources will be integrated including intermittent generation like photovoltaic (PV) and flexible demand like electric vehicles (EVs). It has been long thought to utilize the flexible demand to absorb the PV output locally with the technical solution proposed while an effective commercial arrangement is yet to be developed due to the significant uncertainty associated with local generation. This paper proposes a peer-to-peer (P2P) local electricity market model incorporating both energy trading and uncertainty trading simultaneously. The novelty is to match the forecast power with demand having time flexibility and the uncertain power with demand having power flexibility. This market enables more PV uncertainty to be balanced locally rather than propagating to the upper layer system. In the test case, 55.3% of PV forecast error can be balanced locally in the proposed joint market. In comparison, 43.6% of PV forecast error is balanced locally when the forecast power and uncertain power are traded separately in a day-ahead market and a realtime market. The proposed P2P market can also motivate PV owners to improve forecast accuracy.

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