Nowadays, enhanced knowledge on the nature of the electricity demand is achieved through the progressively increasing deployment of smart meters and advanced data analysis techniques. One of the major challenges is to exploit this knowledge to support the introduction of strategies to modify the demand according to relevant objectives to be achieved, like users’ participation in demand response programmes. A key point for facing this challenge is to characterize the demand flexibility. In spite of many discussions about the concept of flexibility, the few mathematical definitions of flexibility available do not address the variation in time of the overall demand aggregation. This paper starts from the analysis of time-variable patterns of aggregate residential customers, ending up with suitable definitions of expected flexibility for aggregate demand. These definitions are based on assessing positive and negative pattern variations and are identified from the analysis of the collective behavior of the aggregate users. A set of results are shown for different numbers of aggregate customers, by considering different values of the averaging time step for load pattern representation.

Definitions of Demand Flexibility for Aggregate Residential Loads / Sajjad, MALIK INTISAR ALI; Chicco, Gianfranco; Napoli, Roberto. - In: IEEE TRANSACTIONS ON SMART GRID. - ISSN 1949-3053. - STAMPA. - Vol. 7:No. 6, November 2016(2016), pp. 2633-2643. [10.1109/TSG.2016.2522961]

Definitions of Demand Flexibility for Aggregate Residential Loads

SAJJAD, MALIK INTISAR ALI;CHICCO, GIANFRANCO;NAPOLI, Roberto
2016

Abstract

Nowadays, enhanced knowledge on the nature of the electricity demand is achieved through the progressively increasing deployment of smart meters and advanced data analysis techniques. One of the major challenges is to exploit this knowledge to support the introduction of strategies to modify the demand according to relevant objectives to be achieved, like users’ participation in demand response programmes. A key point for facing this challenge is to characterize the demand flexibility. In spite of many discussions about the concept of flexibility, the few mathematical definitions of flexibility available do not address the variation in time of the overall demand aggregation. This paper starts from the analysis of time-variable patterns of aggregate residential customers, ending up with suitable definitions of expected flexibility for aggregate demand. These definitions are based on assessing positive and negative pattern variations and are identified from the analysis of the collective behavior of the aggregate users. A set of results are shown for different numbers of aggregate customers, by considering different values of the averaging time step for load pattern representation.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2666870
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