Large electric load fluctuations in energy-efficient buildings and how to suppress them with demand side management

T. Coletta, R. Delabays, Laurent Pagnier, P. Jacquod
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引用次数: 4

Abstract

Demand side management (DSM) is known for generating synchronized behaviors of aggregated loads that can lead to large power fluctuations [1]. In contrast to this well-studied occurrence, we report here on the emergence of novel synchronized behaviors of thermostatically-controlled electric heating systems in buildings with good thermal insulation and important solar radiation gains without DSM. To suppress the resulting large load fluctuations on the distribution grid we propose a centralized DSM algorithm that smoothens the total load curve — including electric heating and all other domestic appliances — of the cluster of dwellings it pilots. Setting up the baseline load is based on weather forecasts for a receding time-horizon covering the next 24 hours, while control actions are based on a priority list which is constructed from the current status of the dwellings. We show numerically that our DSM control scheme can be generically used to modify load curves of domestic households to achieve diverse goals such as minimizing electricity costs, peak shaving and valley filling.
节能建筑中较大的电力负荷波动及如何通过需求侧管理抑制
需求侧管理(DSM)以产生聚合负载的同步行为而闻名,这些行为可能导致较大的功率波动。与这种充分研究的情况相反,我们在这里报告了在没有DSM的情况下,具有良好隔热和重要太阳辐射增益的建筑物中出现的恒温控制电加热系统的新型同步行为。为了抑制配电网上的大负荷波动,我们提出了一种集中式DSM算法,该算法平滑了其试点住宅集群的总负荷曲线——包括电加热和所有其他家用电器。基线负荷的设定是基于未来24小时的天气预报,而控制行动则是基于根据住宅现状构建的优先级列表。我们的数值表明,我们的用电需求管理控制方案可以普遍用于修改家庭住户的负荷曲线,以实现各种目标,如最小化电力成本、调峰和填谷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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