Dynamic energy pricing considering agent specific losses in residential energy hubs

Energy Informatics

Research

Braden Kidd¹ 

[1]Department of Data Science and AI, Monash University, Wellington Road, 3800, Clayton, VIC, Australia

关键词: Transactive energy markets;    Distributed energy resources;    Residential energy hub;    Smart grids;    Virtual power plant;   

DOI  :  10.1186/s42162-023-00271-6

 received in 2023-07-17, accepted in 2023-08-14,  发布年份 2023

来源: Springer

【 摘 要 】

The rise of distributed energy generation and storage is creating new opportunities for energy consumers to actively engage with energy markets. Achieving these potential benefits will require the implementation of new business models to address limitations of existing market structures. One promising area of research involves the use of decentralised energy trading markets. These markets can increase renewable energy generation through improved infrastructure utilisation and financial returns. However, facilitating these markets is challenging due to the constraints of physical laws and energy losses. The model presented in this paper addresses these challenges by demonstrating an energy market structure for local energy trading that accounts for physical constraints and losses. It fairly allocates the gains of trade and incentivises agents to minimise distribution losses. This market structure can be implemented with existing metering data and approximate values of electrical distribution network properties.

【 授权许可】

CC BY   
© Springer Nature Switzerland AG 2023

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