4.7 Article

Peer to Peer Flexibility Trading in the Voltage Control of Low Voltage Distribution Network

期刊

IEEE TRANSACTIONS ON POWER SYSTEMS
卷 37, 期 4, 页码 2821-2832

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2021.3124790

关键词

Conferences; Portable document format; Indexes; Typesetting; Printing; Loading; Web sites; Peer to peer flexibility trading; Low voltage distribution network; Demand response; Active distribution network

资金

  1. KU Leuven internal funds [C24/16/018, VLAIO HBC.2018.0527 ROLECS, TPWRS-00468-2021]

向作者/读者索取更多资源

This paper proposes a real-time peer to peer flexibility trading scheme for low voltage distribution networks (LVDNs) to address users not always following regulations. The scheme utilizes player compatibility equilibrium and Bernoulli trials for flexibility allocation and consensus and voltage reference for real-time flexibility trading. The proposed scheme is computationally tractable and can protect user privacy. Case studies demonstrate the effectiveness and robustness of the scheme.
Most existing voltage optimization approaches of low voltage distribution networks (LVDNs) assume users follow the regulations unconditionally, which is not always true. To tackle this, we propose a real-time peer to peer flexibility trading scheme for LVDNs. Besides distributed optimization, our scheme offers a way to let users trade their flexibility, in case some users do not want to follow the system regulations at some point. The scheme consists of flexibility allocation and trading. Player compatibility equilibrium and Bernoulli trials are employed to approximate the Pareto optimum in flexibility allocation, while consensus and voltage reference are used to provide real-time offers for flexibility trading. The proposed scheme is computationally tractable and can work with limited communication in a decentralized manner. All the user data is used locally so that privacy is well protected. A network based on a real Belgian semiurban LVDN is employed to validate the proposed scheme with three different scenarios. Besides, the flexibility allocation is benchmarked with a centralized ACOPF algorithm. The case studies result clearly prove the effectiveness and robustness of the proposed scheme.

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