期刊
IEEE TRANSACTIONS ON SMART GRID
卷 11, 期 2, 页码 1205-1215出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2019.2933574
关键词
Uncertainty; Peer-to-peer computing; Load modeling; Probability density function; Electric vehicles; Real-time systems; Transactive energy; Peer to peer market; local trading model; uncertainty consumption; time flexibility; power flexibility
资金
- Engineering and Physical Science Research Council [EP/N03466X/1, TSG-00099-2019]
- EPSRC [EP/S00078X/1, EP/N03466X/1] Funding Source: UKRI
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 real-time market. The proposed P2P market can also motivate PV owners to improve forecast accuracy.
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