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Distributed demand side management using electric boilers

机译:使用电锅炉的分布式需求侧管理

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Demand side management is a promising approach towards the integration of renewable energy sources in the electric grid, which does not require massive infrastruc-tural investments. In this paper, we report the analysis of the performance of a demand side management algorithm for the control of electric boilers, developed within the context of the GridSense project. GridSense is a multi-objective energy management system that aims at decreasing both the end user energy costs and the congestions on the local feeder. The latter objective is minimized exploiting the existent correlation between the voltage measured at the connection point to the grid and the power flow measured at the low voltage transformer. The algorithm behavior has been firstly investigated by means of simulation, using typical water consumption profiles and a simplified thermodynamic model of the electric boiler. The simulation results show that the algorithm can effectively shift the boiler's electric consumption based on voltage and price profiles. In the second phase, we analyzed the results from a pilot project, in which the GridSense units were controlling the boilers of four households, located in the same low voltage grid.
机译:需求方管理是将可再生能源整合到电网中的一种有前途的方法,不需要大量的基础设施投资。在本文中,我们报告了在GridSense项目的背景下开发的用于控制电锅炉的需求侧管理算法的性能分析。 GridSense是一个多目标能源管理系统,旨在降低最终用户的能源成本和本地馈线的拥堵。利用在到电网的连接点处测量的电压与在低压变压器处测量的功率流之间的现有相关性,可以使后一个目标最小化。首先通过仿真,使用典型的耗水曲线和电锅炉的简化热力学模型,对算法行为进行了研究。仿真结果表明,该算法可以根据电压和价格曲线有效地改变锅炉的用电量。在第二阶段,我们分析了一个试点项目的结果,该项目中GridSense单元控制着位于同一低压电网中的四个家庭的锅炉。

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