Abstract
This paper presents a stochastic bi-level optimization model to determine the optimal dispatch of energy storage systems controlled directly by the distribution system operator (DSO) in order to achieve minimization of active power losses, taking into account the profit-driven participation of wind-power producers (WPPs) connected to the distribution system, in the day-ahead and imbalance markets. The upper-level optimization problem represents the optimal AC power flow problem with the objective of minimizing the active power losses from the perspective of the DSO, while the lower-level optimization problem models the profit maximization problem faced by a competitive wind producer under uncertainty associated with market prices and its own power production profile. By exploiting the convexity of the lower-level problem, the Karush-Kuhn-Tucker conditions of the latter are derived, and the bi-level problem is cast as a single level optimization problem. A simple case study of a radial distribution system, featuring one WPP and one storage device is used to illustrate the workings of the method.
| Original language | English |
|---|---|
| Title of host publication | 2017 14th International Conference on the European Energy Market (EEM), 6-9 June 2017, Dresden, Germany |
| Place of Publication | Brussels |
| Publisher | IEEE Computer Society |
| Pages | 1-6 |
| ISBN (Electronic) | 978-1-5090-5499-2 |
| ISBN (Print) | 978-1-5090-5500-5 |
| DOIs | |
| Publication status | Published - 14 Jul 2017 |
| Event | 14th International Conference on the European Energy Market (EEM 2017) - Technische Universität Dresden, Dresden, Germany Duration: 6 Jun 2017 → 9 Jun 2017 Conference number: 14 http://eem2017.com/ |
Conference
| Conference | 14th International Conference on the European Energy Market (EEM 2017) |
|---|---|
| Abbreviated title | EEM 2017 |
| Country | Germany |
| City | Dresden |
| Period | 6/06/17 → 9/06/17 |
| Internet address |
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Keywords
- Active power losses
- Bi-level stochastic optimization
- Distribution system
- Energy storage
- Wind power
Cite this
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Minimization of distribution system losses by exploiting storage and anticipating market-driven behaviour of wind power producers. / Farrokhseresht, M.; Paterakis, N.G.; Gibescu, M.; Slootweg, J.G.
2017 14th International Conference on the European Energy Market (EEM), 6-9 June 2017, Dresden, Germany . Brussels : IEEE Computer Society, 2017. p. 1-6 7981974.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Minimization of distribution system losses by exploiting storage and anticipating market-driven behaviour of wind power producers
AU - Farrokhseresht, M.
AU - Paterakis, N.G.
AU - Gibescu, M.
AU - Slootweg, J.G.
PY - 2017/7/14
Y1 - 2017/7/14
N2 - This paper presents a stochastic bi-level optimization model to determine the optimal dispatch of energy storage systems controlled directly by the distribution system operator (DSO) in order to achieve minimization of active power losses, taking into account the profit-driven participation of wind-power producers (WPPs) connected to the distribution system, in the day-ahead and imbalance markets. The upper-level optimization problem represents the optimal AC power flow problem with the objective of minimizing the active power losses from the perspective of the DSO, while the lower-level optimization problem models the profit maximization problem faced by a competitive wind producer under uncertainty associated with market prices and its own power production profile. By exploiting the convexity of the lower-level problem, the Karush-Kuhn-Tucker conditions of the latter are derived, and the bi-level problem is cast as a single level optimization problem. A simple case study of a radial distribution system, featuring one WPP and one storage device is used to illustrate the workings of the method.
AB - This paper presents a stochastic bi-level optimization model to determine the optimal dispatch of energy storage systems controlled directly by the distribution system operator (DSO) in order to achieve minimization of active power losses, taking into account the profit-driven participation of wind-power producers (WPPs) connected to the distribution system, in the day-ahead and imbalance markets. The upper-level optimization problem represents the optimal AC power flow problem with the objective of minimizing the active power losses from the perspective of the DSO, while the lower-level optimization problem models the profit maximization problem faced by a competitive wind producer under uncertainty associated with market prices and its own power production profile. By exploiting the convexity of the lower-level problem, the Karush-Kuhn-Tucker conditions of the latter are derived, and the bi-level problem is cast as a single level optimization problem. A simple case study of a radial distribution system, featuring one WPP and one storage device is used to illustrate the workings of the method.
KW - Active power losses
KW - Bi-level stochastic optimization
KW - Distribution system
KW - Energy storage
KW - Wind power
UR - http://www.scopus.com/inward/record.url?scp=85027188416&partnerID=8YFLogxK
U2 - 10.1109/EEM.2017.7981974
DO - 10.1109/EEM.2017.7981974
M3 - Conference contribution
AN - SCOPUS:85027188416
SN - 978-1-5090-5500-5
SP - 1
EP - 6
BT - 2017 14th International Conference on the European Energy Market (EEM), 6-9 June 2017, Dresden, Germany
PB - IEEE Computer Society
CY - Brussels
ER -