Abstract
Conventional regulation reserves have fixed participation factors and are thus not well suited to utilize differentiated capabilities of ancillary service providers. This study applies linear decision rules-based (LDR) control policies, which
effectively adapt the present participation factor in dependence of the imbalance signal of previous time steps. The LDR-policies are centrally computed using a robust optimization approach which takes into account both the covariances of historic imbalance signals and the operational flexibility of ancillary service providers. The concept is then extended to the cooperation of multiple cells. Two illustrating examples are presented to show the functioning of the proposed LDR method.
effectively adapt the present participation factor in dependence of the imbalance signal of previous time steps. The LDR-policies are centrally computed using a robust optimization approach which takes into account both the covariances of historic imbalance signals and the operational flexibility of ancillary service providers. The concept is then extended to the cooperation of multiple cells. Two illustrating examples are presented to show the functioning of the proposed LDR method.
Original language | English |
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Title of host publication | Proceedings of IEEE Innovative Smart Grid technologies Europe 2016 |
Number of pages | 6 |
Publisher | IEEE |
Publication date | 2016 |
DOIs | |
Publication status | Published - 2016 |
Event | 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe - Ljubljana, Slovenia Duration: 9 Oct 2016 → 12 Oct 2016 https://ieeexplore.ieee.org/xpl/conhome/7837797/proceeding |
Conference
Conference | 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe |
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Country/Territory | Slovenia |
City | Ljubljana |
Period | 09/10/2016 → 12/10/2016 |
Internet address |
Keywords
- Linear decision rules
- Energy constrained resources
- System balancing.