Abstract
To reduce the peak load and electricity bill while preserving the user comfort, a quality of experience (QoE)-aware smart appliance control algorithm for the smart home energy management system (sHEMS) with renewable energy sources (RES) and electric vehicles (EV) was proposed. The proposed algorithm decreases the peak load and electricity bill by deferring starting times of delay-tolerant appliances from peak to off-peak hours, controlling the temperature setting of heating, ventilation, and air conditioning (HVAC), and properly scheduling the discharging and charging periods of an EV. In this paper, the user comfort is evaluated by means of QoE functions. To preserve the user’s QoE, the delay of the starting time of a home appliance and the temperature setting of HVAC are constrained by a QoE threshold. Additionally, to solve the trade-off problem between the peak load/electricity bill reduction and user’s QoE, a fuzzy logic controller for dynamically adjusting the QoE threshold to optimize the user’s QoE was also designed. Simulation results demonstrate that the proposed smart appliance control algorithm with a fuzzy-controlled QoE threshold significantly reduces the peak load and electricity bill while optimally preserving the user’s QoE. Compared with the baseline case, the proposed scheme reduces the electricity bill by 65% under the scenario with RES and EV. Additionally, compared with the method of optimal scheduling of appliances in the literature, the proposed scheme achieves much better peak load reduction performance and user’s QoE.
Highlights
To reduce energy consumption and carbon emission, several works had proposed various energy management systems [1,2] for smart grids [3] or smart homes [4]
During the off-peak hours, if the power consumption PG (t) + Pi exceeds the power constraint P0, the HVAC is set to a higher target temperature T, where 27 ◦ C < T ≤ T ∗, in order to meet the power constraint; otherwise, the HVAC is set to the normal target temperature 27 ◦ C to achieve the most comfortable environment for users
The considered delay-tolerant appliances consist of the electric oven, microwave oven, dishwasher, and washing machine
Summary
To reduce energy consumption and carbon emission, several works had proposed various energy management systems [1,2] for smart grids [3] or smart homes [4]. A QoE-aware smart appliance control algorithm was designed in [15] to effectively reduce the peak load and electricity bill while guaranteeing the user’s QoE never less than a given threshold. One aim of this paper is to design a fuzzy logic controller to dynamically adjust the QoE threshold for the proposed smart appliance control algorithm performing well under different profiles of power demands. A QoE-aware smart appliance control algorithm is proposed to reduce the peak load and electricity bill while preserving the user’s QoE. A fuzzy logic controller for dynamically setting the QoE threshold is designed to resolve the trade-off problem between the user’s QoE and reduction performance of peak load and electricity bill.
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