Combining the Demand Response of direct electric space heating and partial thermal storage using LP optimization

被引：78

作者：

Ali, Mubbashir ^{[1
]}

Jokisalo, Juha ^{[2
]}

Siren, Kai ^{[2
]}

Lehtonen, Matti ^{[1
]}

机构：

[1] Aalto Univ, Dept Elect Engn, Espoo, Finland

[2] Aalto Univ, Dept Energy Technol, Espoo, Finland

来源：

ELECTRIC POWER SYSTEMS RESEARCH | 2014年 / 106卷

关键词：

Demand response; Optimal control; Partial electric storage space heating; Linear programming; SIDE MANAGEMENT; STRATEGY;

D O I：

10.1016/j.epsr.2013.08.017

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];

摘要：

In this paper, we optimize the Demand Response (DR) control of partial storage electric space heating using a Linear Programming (LP) approach. The objective is to combine the DR control of direct electric space heating and partial thermal storage in order to minimize the total energy cost of customers without sacrificing user comfort. The proposed DR control is optimized according to the dynamic prices, which shifts the power demand from peak price periods to the cheapest hours. The optimal load shaping strategy is examined by performing simulations. The simulation results show that the partial heat storage together with thermal inertia of the house can offer much flexibility in DR control. The optimal DR control model can easily be integrated at the household level for better utilization of distributed energy resources under the Smart Grid scenario. (C) 2013 Elsevier B.V. All rights reserved.

引用

页码：160 / 167

页数：8

共 30 条

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