Technical and Theoretical Analysis of the Future Energy Network Modernization from Various Aspects

Daneshvar, Mohammadreza; Asadi, Somayeh; Mohammadi‐Ivatloo, Behnam

doi:10.1007/978-3-030-64099-6_3

Cited by 1 publication

(1 citation statement)

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“…Today, the electric power system has experienced evolutions in transiting from a centralized bulk grid to a decentralized modern hybrid network [1]. One of the main missions of this grid modernization is to develop and pursue practical solutions to effectively dealing with the energy crisis and continuously serving the consumers' energy demand [2]. In the last decades, the socio-economic losses caused by electricity outages are considered as the evident evidence to develop a set of monolithic efforts for rapid restoration of the power system functionality that is named power system resiliency [3].…”

Section: A Motivation and Backgroundmentioning

confidence: 99%

A Novel Transactive Energy Model for Reliable Operation of Resilient Multi-Microgrids Cluster

Daneshvar

Mohammadi‐Ivatloo

Zare

et al. 2021

2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Syst

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Nowadays, as energy networks are mixed to form a hybrid structure, resiliency is found as a vital factor for the sustainability of the energy network infrastructure. In this regard, microgrids are recognized as a potential solution in postdisaster energy network recovery efforts. However, exposure to various natural disasters, as well as uncertainties associated with renewables, have introduced the resiliency challenge as a critical issue in the optimal operation of multi-microgrids. To tackle such challenge, this paper advances the state-of-art microgrid energy sharing technique by developing an innovative transactive energy trading model for the optimal resilient operation of the renewable-based multi-microgrids cluster. The proposed transactive energy-based model is intended to improve the resiliency of microgrids in the sustainable energy supply chain after affecting the system by natural disasters. Due to the operation of microgrids with a high contribution of renewable energy sources (RESs), uncertainty quantification is performed using autoregressive integrated moving average and fast forward selection methods to produce and reduce scenarios, respectively. The effectiveness and feasibility of the proposed model are examined using a modified IEEE-10 bus test system. The results indicate a 6.18% reduction in the operation cost of the multi-microgrids under the proposed transactive energy-based model.

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Section: A Motivation and Backgroundmentioning

confidence: 99%