Abstract
This paper considers a power dispatching problem in a smart grid, which consists of one generator and n loads and is subject to several physical constraints. To maximize the social benefit, we first develop a distributed gradient algorithm to compute the optimal stable states. Then a computationally convenient distributed model predictive control (DMPC) algorithm is proposed to stabilize the smart grid into a small neighborhood of the optimal stable states. The closed loop system is guaranteed to satisfy the constraints and achieve the social benefit maximization. Numerical examples are given to illustrate the performance of the designed schemes.
| Original language | English |
|---|---|
| Title of host publication | Proceedings 2018 Chinese Automation Congress, CAC 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 913-918 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781728113128 |
| DOIs | |
| Publication status | Published - 2 Jul 2018 |
| Event | 2018 Chinese Automation Congress, CAC 2018 - Xi'an, China Duration: 30 Nov 2018 → 2 Dec 2018 |
Publication series
| Name | Proceedings 2018 Chinese Automation Congress, CAC 2018 |
|---|
Conference
| Conference | 2018 Chinese Automation Congress, CAC 2018 |
|---|---|
| Country/Territory | China |
| City | Xi'an |
| Period | 30/11/18 → 2/12/18 |
Keywords
- distributed control
- model predictive control
- power dispatching problem
- smart grid
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Qiang, Z., Dai, L., & Xia, Y. (2018). Iterative Distributed MPC for Power Dispatching Problem in Smart Grid. In Proceedings 2018 Chinese Automation Congress, CAC 2018 (pp. 913-918). Article 8623649 (Proceedings 2018 Chinese Automation Congress, CAC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAC.2018.8623649