4.7 Article

Coordinated Energy Management of Prosumers in a Distribution System Considering Network Congestion

期刊

IEEE TRANSACTIONS ON SMART GRID
卷 12, 期 1, 页码 468-478

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2020.3010260

关键词

Batteries; Energy management; Spinning; Optimization; Schedules; Economics; Power systems; Network congestion; prosumers; resource flexibility; virtual battery model; iterative distribution locational marginal price (iDLMP)

资金

  1. National Natural Science Foundation of China [51877078]
  2. Beijing Natural Science Foundation, China [3182037, TSG-01857-2019]

向作者/读者索取更多资源

The study introduces a robust virtual battery model to manage prosumers' flexibility and optimally schedules resources using iDLMP to prevent network congestion. Numerical results demonstrate the effectiveness of the proposed method in alleviating distribution grid congestion while respecting prosumers' economic interests and private information.
The integration of multiple flexible energy resources of prosumers into the distribution system has been proposed to improve system economics and reliability. However, prosumer resource flexibility depends on the distribution network. Without proper coordination, network congestion may be an issue. In addition, prosumer flexibilities are uncertain, which needs to be considered in the optimization problem. In this study, we introduce a robust virtual battery model to describe aggregated prosumer flexibilities. Then, assuming price-responsive motivations of prosumers, we employ iterative distribution locational marginal prices (iDLMP) to schedule prosumer resources optimally, with the purpose of preventing network congestion. Case studies are performed on a benchmark IEEE 33 bus system. The numerical results show that the proposed method can effectively alleviate congestion in the distribution grid, respecting prosumer economic interests and private information.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据