gENESiS: Design, Operation and Integration of Smart Sustainable Buildings in Smart Power Grids

Avramidis, Iason-Iraklis; Nagpal, Himanshu; Mehrtash, Mahdi; Capitanescu, Florin

doi:10.1109/med51440.2021.9480315

Cited by 2 publications

(2 citation statements)

References 28 publications

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“…To express F VS in mixed-integer form, we employ a big-M parameter (M v ) and two binary variables (Ψ q , Ψ v ): one indicates whether reactive power is being drawn (1) or injected (0), and the other if the measured voltage is above (1) or below (0) the desired value. If Ψ q = Ψ v , the network is deemed to be compliant.…”

Section: B Original Formulationsmentioning

confidence: 99%

“…A major pillar of the European sustainability strategy is the promotion of the large-scale integration of smart (sophisticated energy management system) sustainable (nearly zero energy) buildings (SSBs) in distribution systems (DS) [1]. Aside from their manifold environmental and end-user benefits, SSBs can drastically increase the available flexibility in DS, contributing to relieving congestions and voltage issues [2].…”

Section: Introductionmentioning

confidence: 99%

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Smart Sustainable LV Networks providing Ancillary Services under Uncertainty: A Joint Chance-Constrained Model

Avramidis

Capitanescu

2022

2022 IEEE Power &Amp; Energy Society General Meeting (PESGM)

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In response to European sustainability directives, a rapid growth of smart sustainable buildings (SSBs) is expected in the coming years, particularly in low voltage (LV) networks. This opens up new pathways towards exploiting SSB-driven flexibility for the provision of upstream ancillary services (AS). However, tapping into these resources is contingent on properly dealing with the inherent end-user uncertainty. In that light, this work proposes a detailed mixed-integer nonlinear, joint chanceconstrained optimization framework that coordinates SSBs in order to provide voltage and congestion support AS at the MV-LV interface. The sources of intractability (AS model, network nonlinearity, uncertainty) are linearly re-formulated, comprising a mixed-integer linear optimization model. Building on previous work, the proposed operational planning framework limits the occurrence of technical violations, so as to allow the LV network to dedicate all available resources exclusively towards providing AS support to the MV network, in real-time. The model's validity and performance are evaluated on a real Luxembourgian LV grid, assumed to host a significant number of residential SSBs.

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Section: B Original Formulationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%