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Robust provision of demand response from thermostatically controllable loads using lagrangian relaxation.
- Source :
-
International Journal of Control . Aug2024, Vol. 97 Issue 8, p1918-1933. 16p. - Publication Year :
- 2024
-
Abstract
- This paper presents an end-user privacy and thermal comfort preserving approach for residential thermostatically controllable loads (TCLs) to provide demand response (DR) in grid services under uncertainties. Unlike the standard approach whereby a central utility-level control is used to control end-users loads, this paper splits the control effort between a central coordinating controller and local robust controllers. The Lagrangian relaxation (LR) method is applied by relaxing the power tracking constraint to obtain a hierarchical control framework with a local controller at each household level and a coordinating controller at the central utility level. Household-level local controllers are based on robust model predictive control (MPC) that relies on minimum household-specific information while accounting for thermal model parameter uncertainties and forecast errors associated with exogenous inputs. Considering inverter-type air conditioners as the TCL, the approach is validated using a practical signal corresponding to the Australian Energy Market Operator. The results demonstrate that accurate tracking of the load set-point signal can be achieved under a considerable range of uncertainties while preserving thermal comfort for end-users. Furthermore, the proposed DR scheme is computationally tractable and robust for real-world implementation. [ABSTRACT FROM AUTHOR]
- Subjects :
- *THERMAL comfort
*ENERGY industries
*PREDICTION models
Subjects
Details
- Language :
- English
- ISSN :
- 00207179
- Volume :
- 97
- Issue :
- 8
- Database :
- Academic Search Index
- Journal :
- International Journal of Control
- Publication Type :
- Academic Journal
- Accession number :
- 178651013
- Full Text :
- https://doi.org/10.1080/00207179.2023.2241579