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A Framework for Evaluation of Advanced Direct Load Control With Minimum Disruption
Abstract
The advent of advanced sensor technology and the breakthroughs in telecommunication open up several new possibilities for demand-side management. More recently, there has been greater interest from utilities as well as system operators in utilizing load as a system resource through the application of new technologies. With the wider application of demand-side management, there is an increasing emphasis on control of loads with minimum disruption. This paper develops a new framework for designing as well as assessing such an advanced direct load control program with the objective of minimizing end-user discomfort and is formulated as an optimization problem. With a fairly general setup for demand-side management, a simulation-based framework is developed for the stochastic optimization problem. Next, using this framework, insights into the effect of different parameters and constraints in the model on load control are developed.
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Ahmad, T., Zhang, D., Huang, C., Zhang, H., Dai, N., Song, Y., & Chen, H. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.125834 · Cited by 1,258
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Khan, A. R., Mahmood, A., Safdar, A., Khan, Z. A., & Khan, N. A. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.10.117 · Cited by 469
Metadata
- Authors
- Ramanathan, B., & Vittal, V.
- Venue
- IEEE Transactions on Power Systems
- Published
- 2008-11
- Volume
- 23
- Issue
- 4
- Pages
- 1681-1688
- ISSN
- 0885-8950 (ISSN-L)
- OpenAlex
- W2111369734
- Cited by
- 261
- References
- 0
- FWCI
- 5.98
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ramanathan, B., & Vittal, V. (2008). A Framework for Evaluation of Advanced Direct Load Control With Minimum Disruption. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2008.2004732
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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