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Performance evaluation of peer-to-peer energy sharing models

Zhou, Yue, Wu, Jianzhong, Long, Chao, Cheng, Meng and Zhang, Chenghua 2017. Performance evaluation of peer-to-peer energy sharing models. Energy Procedia 143 , pp. 817-822. 10.1016/j.egypro.2017.12.768

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Abstract

With the increasing installation of distributed generation at the demand side, an increasing number of consumers become prosumers, and many peer-to-peer (P2P) energy sharing models have been proposed to reduce the energy bill of the prosumers through stimulating energy sharing and demand response. In this paper, a three-stage evaluation methodology is proposed to assess the economic performance of P2P energy sharing models. First of all, joint and individual optimization are established to identify the value contained in the energy sharing region. The overall energy bill of the prosumer population is then estimated through an agent-based modelling with reinforcement learning for each prosumer. Finally, a performance index is defined to quantify the economic performance of P2P energy sharing models. Simulation results verify the effectiveness of the proposed evaluation methodology, and compare three existing P2P energy sharing models in a variety of electricity pricing environments.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Elsevier
ISSN: 1876-6102
Date of First Compliant Deposit: 2 July 2018
Last Modified: 31 Jan 2020 03:34
URI: http://orca.cf.ac.uk/id/eprint/111422

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