Multiobjective Home Appliances Scheduling Considering Customer Thermal Discomfort: A Multistep Look-ahead ADP-Based Approach

摘要

This paper proposes a multiobjective home energy management unit (MO-HEMU) to balance the electricity payment and thermal discomfort of a household by properly scheduling devices in a time-varying price environment. The thermal discomfort is measured by the deviation of indoor and hot water temperature from the user’s ideal temperature. The home devices include solar Photovoltaics, a battery storage system, deferrable, and thermal appliances. The proposed MO-HEMU is formulated as a dynamic program and a method based on the approximated dynamic programming is used as the scheduling algorithm. The developed method, called multistep look-ahead algorithm, is an iterative algorithm that overcomes the curse of dimensionality of the exact DP by choosing a decision based on a limited number of stages ahead. The effectiveness of the proposed model is investigated through numerical simulations. The proposed MO-HEMU enables customers to find the desired trade-off between electricity payment and a discomfort level.