Two-time-scale Congestion Management Scheme for Microgrid Integrated Distribution Networks
Regular Papers|更新时间:2026-10-15
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Two-time-scale Congestion Management Scheme for Microgrid Integrated Distribution Networks
CSEE Journal of Power and Energy SystemsVol. 9, Issue 4, Pages: 1312-1325(2023)
作者机构:
1. Department of Electrical and Computer Engineering, Smart Microgrid and Renewable Technology Research Laboratory, Lehigh University, Bethlehem,PA,USA
2. Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China
3. Shanghai Institute of Satellite Engineering,China
Wei Zhang, Yinliang Xu, Chuheng Tang. Two-time-scale Congestion Management Scheme for Microgrid Integrated Distribution Networks[J]. CSEE Journal of Power and Energy Systems, 2023, 9(4): 1312-1325.
DOI:
Wei Zhang, Yinliang Xu, Chuheng Tang. Two-time-scale Congestion Management Scheme for Microgrid Integrated Distribution Networks[J]. CSEE Journal of Power and Energy Systems, 2023, 9(4): 1312-1325.DOI: 10.17775/CSEEJPES.2021.02420.
Two-time-scale Congestion Management Scheme for Microgrid Integrated Distribution Networks
Microgrids (MGs) with high penetration of distributed generators may cause congestion in the distribution network during operation. To address this issue
this paper proposes a two-time-scale congestion management scheme for multiple MGs integrated distribution networks. Day-ahead hourly-scale dynamic congestion management (DCM) is formulated as a constrained optimization problem
which can be solved by utilizing the proposed alternating iterative method
with the privacy of both the distribution network and MGs being preserved. The sub-hourly-scale contract energy tracking aims at fully utilizing the controllable resources of the MGs to minimize the difference of the contract and actual exchanged energy between the MG and distribution network. Through coordination of the proposed two timescales of management schemes
the MGs integrated distribution networks can operate economically while avoiding the probable congestion predicament with high penetration of renewable energy. Simulation studies with a 13-bus system MGs integrated distribution network demonstrated this proposed approach is effective to manage the congestion problem in the distribution network
while the energy tracking approach can improve the welfare of the MGs engaged in energy contracts execution.