Journal
IEEE TRANSACTIONS ON SMART GRID
Volume 12, Issue 1, Pages 468-478Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2020.3010260
Keywords
Batteries; Energy management; Spinning; Optimization; Schedules; Economics; Power systems; Network congestion; prosumers; resource flexibility; virtual battery model; iterative distribution locational marginal price (iDLMP)
Categories
Funding
- National Natural Science Foundation of China [51877078]
- Beijing Natural Science Foundation, China [3182037, TSG-01857-2019]
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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.
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