...
首页> 外文期刊>Applied Energy >An event driven Smart Home Controller enabling consumer economic saving and automated Demand Side Management
【24h】

An event driven Smart Home Controller enabling consumer economic saving and automated Demand Side Management

机译:事件驱动的智能家居控制器可节省消费者的经济成本并实现自动化的需求方管理

获取原文
获取原文并翻译 | 示例
           

摘要

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.pA 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.
机译:本文提出了一种智能家居控制器策略的设计,该策略可在家庭环境中提供电能的有效管理。该问题被形式化为事件驱动的二进制线性规划问题,该问题的输出指定了在虚拟功率阈值约束下智能家用电器的最佳运行时间,同时考虑了有功功率阈值和无法计划的功耗预测负载。每当系统由适当的事件触发时都会执行优化,以使控制器的动作适应家庭的实际生活动态。该问题的表述允许从消费者和能源零售商的角度分析相关方案:这里讨论并模拟了过载管理,使用费率关税情况下的经济节约优化和需求侧管理。已根据智能电器制造商Electrolux S.pA提供的实际负载曲线以及能源零售商Edison建议的电价对相关测试用例进行了仿真。结果提供了有关使用本地能源管理系统所带来的消费者利益的概念证明,以及自动化需求侧管理与电网高效,低成本运行的总体目标的相关性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号