Comparative Analysis of Market Structures of p2p Energy Trading in a Local Energy System

Mengqiu Deng, Xiao Peng, Yang Zhao
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Abstract

Peer-to-peer (P2P) energy trading has been recognized as an important technology to increase the local self-consumption of photovoltaics in the local energy system. Different auction mechanisms and bidding strategies haven been investigated in previous studies. However, there has been no comparatively analysis on how different market structures influence the local energy system’s overall performance. This paper presents and compares two market structures, namely a centralized market and a decentralized market. Two pricing mechanisms in the centralized market and two bidding strategies in the decentralized market are developed. The results show that the centralized market leads to higher overall system self-consumption and profits. In the decentralized market, some electricity is directly sold to the grid due to unmatchable bids and asks. Bidding strategies based on the learning algorithm can achieve better performance compared to the random method.
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地方能源系统中 p2p 能源交易市场结构的比较分析
点对点(P2P)能源交易已被公认为是提高本地能源系统中光伏发电自我消耗的一项重要技术。以往的研究对不同的拍卖机制和投标策略进行了调查。然而,对于不同的市场结构如何影响当地能源系统的整体性能,还没有进行过比较分析。本文介绍并比较了两种市场结构,即集中式市场和分散式市场。本文提出了集中式市场的两种定价机制和分散式市场的两种投标策略。结果表明,集中式市场能带来更高的整体系统自耗和利润。在分散市场中,由于出价和要价无法匹配,一些电力被直接出售给电网。与随机方法相比,基于学习算法的出价策略能取得更好的性能。
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