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1.	Morales-España, Germán, 1982-, et al. (författare) Robustiﬁed Reserve Modelling for Wind PowerIntegration in Ramp-Based Unit Commitment Annan publikation (övrigt vetenskapligt/konstnärligt)abstract This paper proposes a “robustiﬁed” network-constrained Unit Commitment (UC) formulation as an altern-ative to the robust and stochastic UC formulations under windgeneration uncertainty. The formulation draws a clear distinctionbetween power-capacity and ramp-capability reserves to deal withwind production uncertainty. These power and ramp require-ments can be obtained from wind forecast information. The modelis formulated under the ramp-based scheduling approach, whichschedules power-trajectories instead of the traditional energy-blocks and takes into account the inherent startup and shutdownpower trajectories of thermal units. These characteristics allowa correct representation of unit’s ramp schedule which deﬁnetheir ramp availability for reserves. The proposed formulationsigniﬁcantly decreases operation costs if compared to traditionaldeterministic and stochastic UC formulations while simultan-eously lowering the computational burden. The operation costcomparison is made through 5-min economic dispatch simulationunder hundreds of out-of-sample wind generation scenarios.

Morales-España, Germán, 1982-, et al. (författare)
Robustiﬁed Reserve Modelling for Wind PowerIntegration in Ramp-Based Unit Commitment
Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- This paper proposes a “robustiﬁed” network-constrained Unit Commitment (UC) formulation as an altern-ative to the robust and stochastic UC formulations under windgeneration uncertainty. The formulation draws a clear distinctionbetween power-capacity and ramp-capability reserves to deal withwind production uncertainty. These power and ramp require-ments can be obtained from wind forecast information. The modelis formulated under the ramp-based scheduling approach, whichschedules power-trajectories instead of the traditional energy-blocks and takes into account the inherent startup and shutdownpower trajectories of thermal units. These characteristics allowa correct representation of unit’s ramp schedule which deﬁnetheir ramp availability for reserves. The proposed formulationsigniﬁcantly decreases operation costs if compared to traditionaldeterministic and stochastic UC formulations while simultan-eously lowering the computational burden. The operation costcomparison is made through 5-min economic dispatch simulationunder hundreds of out-of-sample wind generation scenarios.

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