2021
DOI: 10.1016/j.epsr.2021.107499
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Optimal scheduling of a reconfigurable active distribution network with multiple autonomous microgrids

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Cited by 10 publications
(11 citation statements)
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References 30 publications
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“…Limitations related to the maximum charging and discharging power of ESs are also expressed in ( 7) and ( 8), respectively. The state of charge of ESs at hour t has also been expressed in (9). According to Equation (10), the amount of ES charge at the end of the planning horizon must be greater than or equal to its initial charge.…”
Section: Problem Formulationmentioning
confidence: 99%
See 1 more Smart Citation
“…Limitations related to the maximum charging and discharging power of ESs are also expressed in ( 7) and ( 8), respectively. The state of charge of ESs at hour t has also been expressed in (9). According to Equation (10), the amount of ES charge at the end of the planning horizon must be greater than or equal to its initial charge.…”
Section: Problem Formulationmentioning
confidence: 99%
“…Among these capacities, we can mention Microgrids (MGs) [7]. MGs have the necessary technical and communication infrastructures to support the network under normal conditions [8,9] and the occurrence of a contingency [10]. In a network with multiple MGs, connecting MGs creates resilient areas with larger dimensions [11].…”
Section: Introductionmentioning
confidence: 99%
“…Research papers on TE that consider BFM based networkconstrained modelling include [93][94][95][96][97].…”
Section: Branch Flow Model [92]mentioning
confidence: 99%
“…For MG energy trading in reconfigurable networks, in addition to costs such as the generation cost of DG (31), power purchase cost from WEM/DSO, and delivery cost of the purchasing power from other MGs, other cost functions, such as the cost of the switching action, must be included in the formulation. The cost of switching actions in reconfigurable networks is modelled as follows [95]:…”
Section: Costmentioning
confidence: 99%
“…Recovery in this category of solutions is based on the network capacity available, of which MGs are one [7]. MGs possess necessary infrastructures to sustain the grid in both non-accident [8,9] and incident [10] scenarios. The connecting of MGs in a network of numerous MGs results in the formation of resilient areas [11].…”
Section: Introductionmentioning
confidence: 99%