MPC-Based Appliance Scheduling for Residential Building Energy Management Controller
By Cheng Chen, Jianhui Wang, Yeonsook Heo, Shalinee Kishore. IEEE Transactions on Smart Grid, 2013
296 citations recorded by the source corpus.
This paper proposes an appliance scheduling scheme for residential building energy management controllers, by taking advantage of the time-varying retail pricing enabled by the two-way communication infrastructure of the smart grid. Finite-horizon scheduling optimization problems are formulated to exploit operational flexibilities of thermal and non-thermal appliances using a model predictive control (MPC) method which incorporates both forecasts and newly updated information. For thermal appliance scheduling, the thermal mass of the building, which serves as thermal storage, is integrated into the optimization problem by modeling the thermodynamics of rooms in a building as constraints. Within the comfort range modeled by the predicted mean vote (PMV) index, thermal appliances are scheduled smartly together with thermal mass storage to hedge against high prices and make use of low-price time periods. For non-thermal appliance scheduling, in which delay and/or power consumption flexibilities are available, operation dependence of inter-appliance and intra-appliance is modeled to further exploit the price variation. Simulation results show that customers have notable energy cost savings on their electricity bills with time-varying pricing. The impact of customers' preferences of appliances usage on energy cost savings is also evaluated.
Subfields: Building and Construction, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/ab4c90b4f6f4512c38eb89f37f58d3d321b6f1be
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Building and Construction
In Electrical and Electronic Engineering
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- Automated Demand Response From Home Energy Management System Under Dynamic Pricing and Power and Comfort Constraints (2015, background): “This price formulation is completely general and includes the design in [9], [11], and [16] whose price is independent of the demand level (bk = ak) and in [10], [17], and [18] that use hard constraint on the total power demand.”