电
环境经济学
光伏系统
消费(社会学)
业务
光伏
电力市场
分布式发电
另类交易系统
点对点
产业组织
微观经济学
可再生能源
算法交易
经济
计算机科学
财务
工程类
社会学
分布式计算
电气工程
社会科学
出处
期刊:Applied Energy
[Elsevier]
日期:2020-08-15
卷期号:278: 115670-115670
被引量:84
标识
DOI:10.1016/j.apenergy.2020.115670
摘要
With the rapid development of distributed electricity generation technologies such as solar photovoltaics, peer-to-peer (P2P) electricity trading is attracting incremental attention due to the pursuit of decentralized energy autonomy and further economic benefits. The study presented in this paper aims to gain a better understanding of the community P2P electricity trading, including influence of trading strategies, determinants of trading quantity and price, and further factors affecting improvement in community energy welfare. The market mechanism is determined based on the discriminatory continuous double auction, followed by simulations of the trading process in well-designed cases. Results show that P2P trading price and quantity depend on variation of the supply–demand ratio during each trading period, by which in the absence of complex trading strategies and learning abilities, profits are able to be effectively and fairly allocated among participants. For a given community, the total profits that could be obtained from P2P electricity trading are influenced by many factors, and the key is to make those “ineffective supply” available in the P2P market again, through active energy management solutions on all residents rather than focusing only on prosumers’ self-consumption in the past. The ensuing results make significant sense as regards better understanding both the benefits and limitations of P2P electricity trading in residential communities or other similar scenes, thus helping for guiding practical implementation.
科研通智能强力驱动
Strongly Powered by AbleSci AI