2020
DOI: 10.1016/j.energy.2020.118323
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Decision making mechanism for a smart neighborhood fed by multi-energy systems considering demand response

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Cited by 15 publications
(18 citation statements)
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“…On the other hand, in several works, demand-side flexibility is addressed by considering incentive-based programs and energy-price strategies [26,37] such as time-of-use electricity price or time-of-day unit price for electricity for demand response [19,25,32,42,43,78,82,90]. In these cases, EVs and batteries are considered, but their collaboration strategy with other co-existing storage facilities in the EH is of primary importance.…”
Section: Energy Storage and Flexibility Potentialmentioning
confidence: 99%
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“…On the other hand, in several works, demand-side flexibility is addressed by considering incentive-based programs and energy-price strategies [26,37] such as time-of-use electricity price or time-of-day unit price for electricity for demand response [19,25,32,42,43,78,82,90]. In these cases, EVs and batteries are considered, but their collaboration strategy with other co-existing storage facilities in the EH is of primary importance.…”
Section: Energy Storage and Flexibility Potentialmentioning
confidence: 99%
“…Reference [92] includes a constraint representing the possibility for the grid operator to limit their export to the electric grid if there are grid security concerns. The network flow constraints include the limits of energy flow, limits of imported/exported energy, and use of the share of the network between the energy providers and users, etc., as in [19,21,[23][24][25]27,32,36,[39][40][41][42][43][44]47,[50][51][52][54][55][56][57][58][59]62,65,[67][68][69][70][71][72][74][75][76]78,79,[82][83][84][85]88,90,91,93,94,[101]…”
Section: Optimization Problem Constraintsmentioning
confidence: 99%
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“…The stochastic sampling of input data, for example generation profiles for solar and wind [106,157] or load and EV profiles [106,114] represents an alternative approach to consider uncertainty regarding parameter values. Input profiles can be sampled directly from a discrete set of options [158] or from a probability distribution as is done by Guo et al [106] in a Monte Carlo analysis that is followed by a reduction of the resulting set that eliminates similar input scenarios.…”
Section: Tablementioning
confidence: 99%