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Energy and reserve co‐optimisation – reserve availability, lost opportunity and uplift compensation cost

Ancillary services used for active power balancing are called balancing services or operating reserves and their provision is vital for maintaining power system frequency at the nominal value. In a deregulated environment, where generation is unbundled from transmission and distribution operations, independently owned generating companies may elect to provide operating reserves. However, it is not easy to calculate the exact cost of reserve provision and, therefore, bid for it accurately. Although the cost efficiency of reserve provision can be improved by co‐optimising energy and reserve markets, generating companies can still encounter monetary losses caused by the provision of reserve. Currently, these losses are compensated based on ex‐post calculations. Hence, current energy and reserve prices do not adequately factor in the ex‐post compensation caused by reserve provision. This study proposes an energy and reserve co‐optimisation with an explicit consideration of two compensation mechanisms, i.e. lost opportunity and uplift payments. The problem is structured as a bilevel model. The upper level is a mixed‐integer unit commitment problem and the lower level is a continuous economic dispatch problem. The case study shows that the proposed model increases market efficiency.
- University of Zagreb Croatia
- University of Split Croatia
- University of Rijeka, Faculty of Physics Croatia
power distribution economics, power transmission economics, power transmission economics ; power markets ; power generation dispatch ; power distribution economics ; integer programming, power generation dispatch, power markets, integer programming
power distribution economics, power transmission economics, power transmission economics ; power markets ; power generation dispatch ; power distribution economics ; integer programming, power generation dispatch, power markets, integer programming
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).12 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
