Disaggregation for Networked Power Systems
Disaggregation for Networked Power Systems
复制标题
网络电力系统的分解
DOI：
10.23919/pscc.2018.8442521
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
S. Low
中科院分区：
文献类型：
--
作者：
James Anderson;Fengyu Zhou;S. Low
电力数据，如供应、需求、价格和线路流量，都是敏感的。公用事业公司不想公开这些数据，这是可以理解的，事实上，它们往往无法公开这些数据。然而，这些数据在电力系统研究的许多基本领域都是至关重要的。作为一种折衷方案，有时会提供聚合数据集。在这种情况下，可以在地理区域和时间上聚集数据。这迫使研究人员尝试并“反转”数据，以获得分散的聚合数据集。在本文中，我们严格地描述了网络电力系统的分解问题，并提出了两种算法来解决该问题的DC版本。我们证明了数据倒置是可能的，但这并不意味着获得了基本事实的解决方案，因此公用事业公司保持了隐私的概念。本白皮书的目的是强调发布汇总数据对研究界和公用事业公司的潜在好处。
Electricity data such as supply, demand, prices, and line flows, are sensitive. Utility companies, understandably do not want to, in fact often cannot, make this data publicly available. However, such data is critical in many fundamental areas in power systems research. As a compromise, aggregated data sets are sometimes made available. In such a setting it may be the case that data is aggregated over a geographical region and time. This forces researchers to try and “invert” the data to obtain dis aggregated data sets. In this paper we rigorously formulate the disaggregation problem for networked power systems and present two algorithms that provide solutions to the DC version of the problem. We show that it is possible to invert the data, but that does not imply that ground truth solutions are obtained, thus the utility companies maintain a notion of privacy. The aim of this paper is to highlight the potential benefits to both the research community and utility companies of releasing aggregated data.