智能电网数据市场的可行性:一项在线调查

Soham Chakraborty, Soumyajit Gangopadhyay, Sarasij Das
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引用次数: 1

摘要

利用智能电网(SG)数据开发新的数据驱动算法。然而,数据驱动算法(如机器学习算法)的成功在很大程度上取决于SG数据的可用性。目前,SG数据主要由公用事业、市场运营商和系统运营商等数据生成器提供。由于缺乏适当的数据交换平台,SG数据在各个利益相关者之间的流动目前受到限制。最近,为了解决这个问题,引入了SGs数据市场的概念。然而,SGs数据市场的成功在很大程度上取决于各利益相关者的大规模参与。因此,有必要了解利益相关者对SG数据市场各个方面的意见。本文介绍了一项在线调查的结果,该调查是为了调查SGs数据交易的可行性而进行的。本文还对调查结果进行了综合分析。研究发现,大多数调查参与者支持在SGs形成数据市场,以增加实际SGs数据的可及性。然而,一部分参与者提出了对隐私、电网安全和资金可用性的担忧。调查结果将有助于确定该领域未来的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Feasibility of Data Markets in Smart Grids: an Online Survey
Novel data-driven algorithms are being developed using smart grid (SG) data. However, the success of data-driven algorithms such as machine learning algorithms heavily depends on the availability of SG data. Currently, SG data mostly stay with the data generators such as utilities, market operators and system operators. The flow of SG data among various stakeholders is currently limited due to the lack of a proper data exchange platform. Recently, the concept of data markets for SGs has been introduced to address this issue. However, the success of data markets in SGs heavily depends on the large-scale participation of the various stakeholders. So, there is a need to understand the opinion of the stakeholders on various aspects of SG data markets. This paper presents the results of an online survey that was conducted in order to investigate the feasibility of data trading in SGs. A comprehensive analysis of the survey responses is also presented. It is found that the majority of the survey participants support the formation of data markets in SGs to increase the accessibility of practical SG data. However, a section of the participants raised concerns regarding privacy, grid security and money availability. The results of this survey will be helpful in deciding future research directions in this area.
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