Optimizing the DR Control of Electric Storage Space Heating Using LP Approach

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The vital aim of this paper is to optimize the DR control of electric storage space heating for households. The DR control algorithm proposed rests on the Linear Programming (LP) approach. The objective is to minimize the overall energy cost without deteriorating the thermal comfort. The optimization is based on the dynamic pricing that follows power exchange prices. Nevertheless, any price signal can be set by aggregator/retailer companies enabling them to obtain certain objectives as long as the thermal comfort requirement is not violated. We perform a case study to investigate the effect of degree of storage on the flexibility of electric storage space heating load control and to analyze the impact of storage losses and demand uncertainty on the DR control optimality. The simulation results verify the optimization model. The DR model can easily be implemented at the household level to allow a better operation of distributed energy resources under the Smart Grid paradigm.
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Demand Response; Electric Storage Space Heating; Linear Programming

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