Enhancement of flexibility in multi-energy microgrids considering voltage and congestion improvement: Robust thermal comfort against reserve calls

Journal article


Kazemi-Razi, S.M., Abyaneh, H.A., Nafisi, H., Ali, Z. and Marzband, M. (2021). Enhancement of flexibility in multi-energy microgrids considering voltage and congestion improvement: Robust thermal comfort against reserve calls. Sustainable Cities and Society. 74, p. 103160. https://doi.org/10.1016/j.scs.2021.103160
AuthorsKazemi-Razi, S.M., Abyaneh, H.A., Nafisi, H., Ali, Z. and Marzband, M.
Abstract

In recent years, multi-energy microgrid (MEM) has gained increasing interest, which could use clean and efficient electro-thermal resources, multi-energy storages (MESs) and demand response potential to improve the flexibility of MEM. However, maximizing the flexibility potential of MEM and alongside managing the electrical parameters (EPs) is a challenging modeling problem. In this paper, a probabilistic nonlinear model is presented to maximize the flexibility with all the power grid constraints taking into account EPs constraints using power flow. To this end, voltage profile and congestion improvement, robust thermal comfort provision during reserve call and MESs utilization are the key properties of the proposed model. The outcome of suggested model ensures sustainability in the MEM performance, which is an essential feature in modern smart cities. The presented model is applied to a distribution network in the UK and results illustrate how equipment scheduling and demand response leads to observe the EPs limitation and maximizes MEM flexibility. The achieved results show a decrease in MEM revenue (decrease of 34% and 24% without and with reserve commitment, respectively) and in contrast, a significant increase in flexibility compared to non-compliance with EPs constraints.

KeywordsElectrical parameters, FlexibilityMulti-energy microgrid, Multi-energy storage, Reserve commitment, Thermal comfort
Year2021
JournalSustainable Cities and Society
Journal citation74, p. 103160
PublisherElsevier
ISSN 2210-6707
Digital Object Identifier (DOI)https://doi.org/10.1016/j.scs.2021.103160
Web address (URL)https://www.sciencedirect.com/science/article/pii/S2210670721004376
Publication dates
Print10 Jul 2021
Publication process dates
Accepted02 Jul 2021
Deposited11 Aug 2023
Accepted author manuscript
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Open
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