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Stochastic receding horizon control minimizing mean-variance with demand forecasting for home EMSs

机译:随机后退水平控制将家用EMS的需求预测最小化均方差

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As demand-side energy management system (EMS) has not only a function to maximize owner's utility by automatic control but also a potential capability to respond a demand activation, demand-side EMS is expected to fulfill the key role for intelligent control of community energy management. To achieve the stable control result of EMS against the uncertain environment, it needs approach from both forecast and operation sides. The objective of this study is to construct a control scheme for a home EMS from a practicable implementation perspective and to evaluate the control performance of the scheme proposed. The scheme is composed of operational planning with receding horizon and energy demand forecasting. The goal of the scheme is to maximize householder's utility only by retrofitting the home EMS to a residential household. Throughout numerical results, it is revealed that the better control performance comes from the conservative operational strategy derived from the multiple scenarios. (C) 2017 Elsevier B.V. All rights reserved.
机译:由于需求方能源管理系统(EMS)不仅具有通过自动控制最大化所有者效用的功能,而且还具有响应需求激活的潜在能力,因此,需求方EMS将有望发挥智能控制社区能源的关键作用管理。为了在不确定的环境下获得稳定的EMS控制效果,需要从预测和运营两方面采取措施。这项研究的目的是从可行的实施角度构建家用EMS的控制方案,并评估所提出方案的控制性能。该计划由后退的运营计划和能源需求预测组成。该计划的目标是仅通过将家用EMS改造为居民家庭来最大化住户的效用。整个数值结果表明,更好的控制性能来自于多种情况下的保守操作策略。 (C)2017 Elsevier B.V.保留所有权利。

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