Distributed Coordination of Multi-microgrids in Active Distribution Networks for Provisioning Ancillary Services

Journal Article (2024)
Author(s)

A. Mallick (TU Delft - Team Peyman Mohajerin Esfahani)

Abhishek Mishra (Indian Institute of Technology Kharagpur)

Ashish R. Hota (Indian Institute of Technology Kharagpur)

Prabodh Bajpai (Indian Institute of Technology Kanpur)

Research Group
Team Peyman Mohajerin Esfahani
DOI related publication
https://doi.org/10.1109/JSYST.2024.3404600
More Info
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Publication Year
2024
Language
English
Research Group
Team Peyman Mohajerin Esfahani
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Issue number
3
Volume number
18
Pages (from-to)
1492-1503
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Abstract

With the phenomenal growth in renewable energy generation, the conventional synchronous generator-based power plants are gradually getting replaced by renewable energy sources-based microgrids. Such transition gives rise to the challenges of procuring various ancillary services from microgrids. We propose a distributed optimization framework that coordinates multiple microgrids in an active distribution network for provisioning passive voltage support-based ancillary services while satisfying operational constraints. Specifically, we exploit the reactive power support capability of the inverters and the flexibility offered by storage systems available with microgrids for provisioning ancillary service support to the transmission grid. We develop novel mixed-integer inequalities to represent the set of feasible active and reactive power exchange with the transmission grid that ensures passive voltage support. The proposed alternating direction method of multipliers-based algorithm is fully distributed, and does not require the presence of a centralized entity to achieve coordination among the microgrids. We present detailed numerical results on the IEEE 33-bus distribution test system to demonstrate the effectiveness of the proposed approach and examine the scalability and convergence behavior of the distributed algorithm for different choice of hyperparameters and network sizes.

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