TY - JOUR
T1 - Peer-to-Peer Energy Trading in DC Packetized Power Microgrids
AU - Zhang, Haobo
AU - Zhang, Hongliang
AU - Song, Lingyang
AU - Li, Yonghui
AU - Han, Zhu
AU - Poor, H. Vincent
N1 - Funding Information:
Manuscript received June 5, 2019; revised September 15, 2019; accepted October 2, 2019. Date of publication November 6, 2019; date of current version January 31, 2020. This work was supported in part by the National Natural Science Foundation of China under Grant 61625101, in part by the U.S. MURI Air Force Office of Scientific Research (AFOSR) under Grant MURI 18RT0073, and in part by the NSF under Grant EARS-1839818, Grant CNS-1717454, Grant CNS-1731424, Grant ECCS-1824710, and Grant CNS-1646607. (Corresponding author: Lingyang Song.) H. Zhang and L. Song are with the Department of Electronics, Peking University, Beijing 100871, China (e-mail: haobo.zhang@pku.edu.cn; lingyang.song@pku.edu.cn).
PY - 2020/1
Y1 - 2020/1
N2 - As distributed energy resources (DERs) are widely deployed, DC packetized power microgrids have been considered as a promising solution to incorporate DERs effectively. In this paper, we consider a DC packetized power microgrid, where the energy is dispatched in the form of power packets with the assistance of a power router. However, the benefits of the microgrid can only be realized when energy subscribers (ESs) equipped with DERs actively participate in the energy market. Therefore, peer-to-peer (P2P) energy trading is necessary in the DC packetized power microgrid to encourage the usage of DERs. Different from P2P energy trading in AC microgrids, the dispatching capability of the router needs to be considered in DC microgrids, which will complicate the trading problem. To tackle this challenge, we formulate the P2P trading problem as an auction game, in which the demander ESs submit bids to compete for power packets, and a controller decides the energy allocation and power packet scheduling. Analysis of the proposed scheme is provided, and its effectiveness is validated through simulation.
AB - As distributed energy resources (DERs) are widely deployed, DC packetized power microgrids have been considered as a promising solution to incorporate DERs effectively. In this paper, we consider a DC packetized power microgrid, where the energy is dispatched in the form of power packets with the assistance of a power router. However, the benefits of the microgrid can only be realized when energy subscribers (ESs) equipped with DERs actively participate in the energy market. Therefore, peer-to-peer (P2P) energy trading is necessary in the DC packetized power microgrid to encourage the usage of DERs. Different from P2P energy trading in AC microgrids, the dispatching capability of the router needs to be considered in DC microgrids, which will complicate the trading problem. To tackle this challenge, we formulate the P2P trading problem as an auction game, in which the demander ESs submit bids to compete for power packets, and a controller decides the energy allocation and power packet scheduling. Analysis of the proposed scheme is provided, and its effectiveness is validated through simulation.
KW - Peer-to-peer energy trading
KW - dc packetized power microgrid
KW - iterative auction
KW - pricing
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U2 - 10.1109/JSAC.2019.2951991
DO - 10.1109/JSAC.2019.2951991
M3 - Article
AN - SCOPUS:85074810377
VL - 38
SP - 17
EP - 30
JO - IEEE Journal on Selected Areas in Communications
JF - IEEE Journal on Selected Areas in Communications
SN - 0733-8716
IS - 1
M1 - 8892605
ER -