With the modernization of the electricity grid, the role of the demand side becomes more vital to balance the mismatch between supply and demand. Demand flexibility assessment is a key aspect to design and initiate demand response (DR) programs. In particular, flexibility assessment of the residential electrical demand is important due to the diversity of energy usage of the residents during different time slots of a day. In this paper, results of the flexibility assessment of aggregate electrical demand are provided for different seasons by using a flexibility indicator based on the binomial probability distribution model. The information extracted from this analysis gives a comparison of demand flexibility for different seasons of the year, which is beneficial for a system operator or an aggregator to design and carry out DR programs.
Seasonal Effect on the Flexibility Assessment of Electrical Demand / Waseem, M.; Sajjad, I. A.; Napoli, R.; Chicco, G.. - ELETTRONICO. - (2018), pp. 1-6. (Intervento presentato al convegno 53rd International Universities Power Engineering Conference, UPEC 2018 tenutosi a Glasgow Caledonian University (GCU), Cowcaddens Road, gbr nel 2018) [10.1109/UPEC.2018.8542024].
Seasonal Effect on the Flexibility Assessment of Electrical Demand
Napoli R.;Chicco G.
2018
Abstract
With the modernization of the electricity grid, the role of the demand side becomes more vital to balance the mismatch between supply and demand. Demand flexibility assessment is a key aspect to design and initiate demand response (DR) programs. In particular, flexibility assessment of the residential electrical demand is important due to the diversity of energy usage of the residents during different time slots of a day. In this paper, results of the flexibility assessment of aggregate electrical demand are provided for different seasons by using a flexibility indicator based on the binomial probability distribution model. The information extracted from this analysis gives a comparison of demand flexibility for different seasons of the year, which is beneficial for a system operator or an aggregator to design and carry out DR programs.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2963102