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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wei Zhang Jianming Lian Chin-Yao Chang Kalsi, K. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA (Wei Zhang; Chin-Yao Chang) || Electr. Infrastruct., Pacific Northwest Nat. Lab., Richland, WA, USA (Jianming Lian; Kalsi, K.) |
| Abstract | Summary form only given. Demand response is playing an increasingly important role in the efficient and reliable operation of the electric grid. Modeling the dynamic behavior of a large population of responsive loads is especially important to evaluate the effectiveness of various demand response strategies. In this paper, a highly accurate aggregated model is developed for a population of air conditioning loads. The model effectively includes statistical information of the load population, systematically deals with load heterogeneity, and accounts for second-order dynamics necessary to accurately capture the transient dynamics in the collective response. Based on the model, a novel aggregated control strategy is designed for the load population under realistic conditions. The proposed controller is fully responsive and achieves the control objective without sacrificing end-use performance. The proposed aggregated modeling and control strategy is validated through realistic simulations using GridLAB-D. Extensive simulation results indicate that the proposed approach can effectively manage a large number of air conditioning systems to provide various demand response services, such as frequency regulation and peak load reduction. |
| Starting Page | 1 |
| Ending Page | 1 |
| File Size | 67157 |
| Page Count | 1 |
| File Format | |
| ISBN | 9781479964154 |
| DOI | 10.1109/PESGM.2014.6939498 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-07-27 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Atmospheric modeling Load modeling Load management Sociology Statistics Air conditioning Computational modeling |
| Content Type | Text |
| Resource Type | Article |
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