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

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.

Automated summary

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.