An event driven Smart Home Controller enabling consumer economic saving and automated Demand Side Management
An event driven Smart Home Controller enabling consumer economic saving and automated Demand Side Management
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DOI：
10.1016/j.apenergy.2012.02.024
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发表时间：
2012-08-01
期刊：
影响因子：
11.2
通讯作者：
Pimpinella, Laura
中科院分区：
文献类型：
--
作者：
Di Giorgio, Alessandro;Pimpinella, Laura
本文提出了一种智能家居控制器策略的设计，以提供家庭环境中有效的电能管理。将该问题形式化为一个事件驱动的二元线性规划问题，该问题的输出指定了智能家电在虚拟功率阈值约束下的最佳运行时间，同时考虑了实际功率阈值和不可计划负荷的消耗预测。每次系统被适当的事件触发时，都会进行优化，以使控制器的动作适应家庭的真实动态。这个问题的表述允许从消费者和能源零售商的角度分析相关场景：这里讨论和模拟了过载管理、使用时间关税情况下的经济节约优化和需求侧管理。基于智能家电制造商伊莱克斯S.p.A.提供的真实负载概况和能源零售商爱迪生建议的能源关税，在相关测试案例中进行了模拟。结果证明了消费者从使用本地能源管理系统中获益的概念，以及自动化需求侧管理与电网高效和成本效益运营的总体目标的相关性。(C) 2012 Elsevier Ltd.版权所有。
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 an event driven 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. The optimization is performed each time the system is triggered-by proper events, in order to tailor the controller action to the real life dynamics of an household. This problem formulation allows to analyze relevant scenarios from consumer and energy retailer point of view: here overload management, optimization of economic saving in case of Time of Use Tariff 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 manufacturer 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. (C) 2012 Elsevier Ltd. All rights reserved.