Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 20th Power System Computation Conference |
| Number of pages | 7 |
| Publisher | IEEE |
| Publication date | 2018 |
| ISBN (Print) | 9781910963104 |
| DOIs | |
| Publication status | Published - 2018 |
| Event | 20th Power Systems Computation Conference - O’Brien Centre for Science at University College Dublin, Dublin, Ireland Duration: 11 Jun 2018 → 15 Jun 2018 Conference number: 20 http://www.pscc2018.net/index.html |
Conference
| Conference | 20th Power Systems Computation Conference |
|---|---|
| Number | 20 |
| Location | O’Brien Centre for Science at University College Dublin |
| Country | Ireland |
| City | Dublin |
| Period | 11/06/2018 → 15/06/2018 |
| Internet address |
Keywords
- Aggregation
- Lockout constraints
- Stochastic controller
- Thermal battery model
- Thermostatically controlled loads
Cite this
}
A New Method for Handling Lockout Constraints on Controlled TCL Aggregations. / Ziras, Charalampos; You, Shi; Bindner, Henrik W.; Vrettos, Evangelos.
Proceedings of 20th Power System Computation Conference. IEEE, 2018.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
TY - GEN
T1 - A New Method for Handling Lockout Constraints on Controlled TCL Aggregations
AU - Ziras, Charalampos
AU - You, Shi
AU - Bindner, Henrik W.
AU - Vrettos, Evangelos
PY - 2018
Y1 - 2018
N2 - Thermal loads are recognized as a valuable source of flexibility in face of the increasing variability caused by the large shares of renewable production. Lockout constraints can significantly reduce the flexibility of thermostatically controlled loads (TCLs). We propose a novel way of modifying the loads’ lockout durations to achieve non-intrusive centralized control without relying on local computations and estimations. We derive analytical expressions for the flexibility reduction and validate them via simulations, which show that the proposed method describes the TCLs flexibility accurately. We further show that a simple stochastic centralized controller, which does not rely on local temperature measurements, outperforms the commonly used priority-stack controller in terms of system robustness against infeasible trajectories.
AB - Thermal loads are recognized as a valuable source of flexibility in face of the increasing variability caused by the large shares of renewable production. Lockout constraints can significantly reduce the flexibility of thermostatically controlled loads (TCLs). We propose a novel way of modifying the loads’ lockout durations to achieve non-intrusive centralized control without relying on local computations and estimations. We derive analytical expressions for the flexibility reduction and validate them via simulations, which show that the proposed method describes the TCLs flexibility accurately. We further show that a simple stochastic centralized controller, which does not rely on local temperature measurements, outperforms the commonly used priority-stack controller in terms of system robustness against infeasible trajectories.
KW - Aggregation
KW - Lockout constraints
KW - Stochastic controller
KW - Thermal battery model
KW - Thermostatically controlled loads
U2 - 10.23919/PSCC.2018.8442907
DO - 10.23919/PSCC.2018.8442907
M3 - Article in proceedings
SN - 9781910963104
BT - Proceedings of 20th Power System Computation Conference
PB - IEEE
ER -