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A Two-Stage Stochastic Unit Commitment Model for Wind-integrated Power Systems Flexibility Assessment

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Résumé

Decision making regarding the operation of renewable-integrated power systems have become increasingly complex in view of the need for flexibility, i.e., the ability to accommodate time-dependent variability arising from the interactions between uncertainties in the demand and renewable power sources. In this paper, a two-stage stochastic unit commitment program is proposed to determine cost-effective on/off schedules for a wind-integrated power system. Uncertainties in the aggregated load and wind power generation are considered to generate random operating scenarios. Generation-side flexibility metrics are introduced to trace and analyze events of energy not supplied and/or wind power curtailment. An application of the proposed optimization program is conducted for a modification of the New England IEEE 39-Bus test system. The results show the usefulness of the model for generation scheduling and providing valuable insights regarding the design of operational strategies for efficient use of wind power.
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Dates et versions

hal-03908535 , version 1 (20-12-2022)

Identifiants

Citer

Rodrigo Mena, Cristobal Catalan, Pablo Viveros, Enrico Zio. A Two-Stage Stochastic Unit Commitment Model for Wind-integrated Power Systems Flexibility Assessment. 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Jun 2022, Manchester, United Kingdom. pp.1-6, ⟨10.1109/PMAPS53380.2022.9810585⟩. ⟨hal-03908535⟩
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