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Appliance Commitment for Household Load Scheduling
Abstract
This paper presents a novel appliance commitment algorithm that schedules thermostatically controlled household loads based on price and consumption forecasts considering users' comfort settings to meet an optimization objective such as minimum payment or maximum comfort. The formulation of an appliance commitment problem is described using an electrical water heater load as an example. The thermal dynamics of heating and coasting of the water heater load is modeled by physical models; random hot water consumption is modeled with statistical methods. The models are used to predict the appliance operation over the scheduling time horizon. User comfort is transformed to a set of linear constraints. Then, a novel linear-sequential-optimization-enhanced, multiloop algorithm is used to solve the appliance commitment problem. The simulation results demonstrate that the algorithm is fast, robust, and flexible. The algorithm can be used in home/building energy-management systems to help household owners or building managers to automatically create optimal load operation schedules based on different cost and comfort settings and compare cost/benefits among schedules.
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Citations
Cites
Algorithms for a spot price responding residential load controller
Schweppe, F. C., Daryanian, B., & Tabors, R. D. (1989) · IEEE Transactions on Power Systems · doi:10.1109/59.193823 · Cited by 105
Cited by
Demand response and smart grids – a survey
Siano, P. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2013.10.022 · Cited by 2,411
Tushar, W., Yuen, C., Saha, T. K., Morstyn, T., Chapman, A. C., Alam, M. J. E., Hanif, S., & Poor, H. V. (2021) · Applied Energy · doi:10.1016/j.apenergy.2020.116131 · Cited by 523
Paterakis, N. G., Erdinc, O., Bakirtzis, A. G., & Catalao, J. P. S. (2015) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2015.2438534 · Cited by 429
Optimal coordination and scheduling of demand response via monetary incentives
Sarker, M. R., Ortega-Vazquez, M. A., & Kirschen, D. S. (2015) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2014.2375067 · Cited by 203
Smart Home Activities: A Literature Review
Saad al-sumaiti, A., Ahmed, M. H., & Salama, M. M. A. (2014) · Electric Power Components and Systems · doi:10.1080/15325008.2013.832439 · Cited by 185
Metadata
- Authors
- Du, P., & Lu, N.
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2011-06
- Volume
- 2
- Issue
- 2
- Pages
- 411-419
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2122723365
- Cited by
- 568
- References
- 1
- FWCI
- 28.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- Du, P., & Lu, N. (2011). Appliance Commitment for Household Load Scheduling. IEEE Transactions on Smart Grid. https://doi.org/10.1109/tsg.2011.2140344
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.