This paper proposes the design of a Smart Home Controller strategy providing efficient management of electric energy in a domestic environment. The problem is formalized as a binary linear programming problem, the output of which specifies the best time to run of Smart Household Appliances, under a Virtual Power Threshold constraint, taking into account the real power threshold and the forecast of consumption from not plannable loads. This problem formulation allows to analyze relevant scenarios from consumer and energy retailer point of view: here optimization of economic saving in case of multi-tariff contract and Demand Side Management have been discussed and simulated. Simulations have been performed on relevant test cases, based on real load profiles provided by the smart appliance manifacturer Electrolux S.p.A. and on energy tariffs suggested by the energy retailer Edison. Results provide a proof of concept about the consumers benefits coming from the use of local energy management systems and the relevance of automated Demand Side Management for the general target of efficient and cost effective operation of electric networks. © 2011 IEEE.
An event driven Smart Home Controller enabling cost effective use of electric energy and automated Demand Side Management / DI GIORGIO, Alessandro; Laura, Pimpinella; Alessandra, Quaresima; Simone, Curti. - STAMPA. - (2011), pp. 358-364. (Intervento presentato al convegno 2011 19th Mediterranean Conference on Control and Automation, MED 2011 tenutosi a Corfu nel 20 June 2011 through 23 June 2011) [10.1109/med.2011.5983014].
An event driven Smart Home Controller enabling cost effective use of electric energy and automated Demand Side Management
DI GIORGIO, ALESSANDRO;
2011
Abstract
This paper proposes the design of a Smart Home Controller strategy providing efficient management of electric energy in a domestic environment. The problem is formalized as a binary linear programming problem, the output of which specifies the best time to run of Smart Household Appliances, under a Virtual Power Threshold constraint, taking into account the real power threshold and the forecast of consumption from not plannable loads. This problem formulation allows to analyze relevant scenarios from consumer and energy retailer point of view: here optimization of economic saving in case of multi-tariff contract and Demand Side Management have been discussed and simulated. Simulations have been performed on relevant test cases, based on real load profiles provided by the smart appliance manifacturer Electrolux S.p.A. and on energy tariffs suggested by the energy retailer Edison. Results provide a proof of concept about the consumers benefits coming from the use of local energy management systems and the relevance of automated Demand Side Management for the general target of efficient and cost effective operation of electric networks. © 2011 IEEE.File | Dimensione | Formato | |
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