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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Iino, Y. Hatanaka, T. Fujita, M. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Mech. & Control Eng., Tokyo Inst. of Technol., Tokyo, Japan (Iino, Y.; Hatanaka, T.; Fujita, M.) |
| Abstract | In the Smart Grid Technology, Demand Response (DR) scheme had attracted attentions as a new effective electricity supply-demand balance control method. The aim of this paper is to formulate DR aggregation management system with multiple electricity energy users as a control and optimization theory framework. Where, the demand response delay dynamics and stochastic uncertainty as behaviors in each energy user are included as the DR aggregation system model, to represent actual DR aggregation service management process in the electricity market mechanism. For the generalized formulation of the problem, the Model Predictive Optimization & Control scheme is introduced, where control performance, economical value with DR incentive, and also operational risk to fail DR target achievement are formulated. Some practical calculation procedure of dispatching DR command to each energy user as the DR aggregator is also shown. |
| Starting Page | 1478 |
| Ending Page | 1483 |
| File Size | 458426 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9784907764463 |
| DOI | 10.1109/SICE.2014.6935279 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-09-09 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | SICE |
| Subject Keyword | Load management Electricity Optimization Energy consumption Dispatching Power system reliability Reliability model predictive control demand response smart grid |
| Content Type | Text |
| Resource Type | Article |
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