Agent Based Modelling of a Local Energy Market: A Study of the Economic Interactions between Autonomous PV Owners within a Micro-Grid
作者： Da Yan , Pei Huang , Xingxing Zhang , Marco Lovati , Carl Olsmats
DOI: 10.3390/BUILDINGS11040160
关键词:
摘要: Urban Photovoltaic (PV) systems can provide large fractions of the residential electric demand at socket parity (i.e., a cost below household consumer price). This is obtained without necessarily installing storage or exploiting tax funded incentives. The benefits aggregating and renewable output multiple households are known established; in fact, regulations pilot energy communities being implemented worldwide. Financing managing shared urban PV system remains an unsolved issue, even when profitability as whole demonstrable. For this reason, agent-based modelling environment has been developed presented study. It assumed that optimal (optimized for self-sufficiency) between 48 local grid positive district. Different scenarios explored discussed, each varying number owners (agents who own system) their pricing behaviour. found smaller investors someone refuse to join) provokes increase earnings remaining (from 8 74% baseline). Furthermore, strategy agent shows improvement potential knowledge others, thus it no privacy violations.
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