Robust Unit Commitment Model Considering Multi-resource Reserve Coordinated Optimization Across Generation,Grid,Load and Storage
To effectively address the challenges posed by the high penetration of renewable energy to the operation of power system and reserve,a novel robust unit commitment model is proposed in this paper,which takes into account multi-resource reserve coordinated optimization across generation,grid,load and storage.First,the temporal distribu-tion characteristics of wind power forecast errors are considered,and the conditional quantile regression techniques are employed to fit the confidence intervals of wind power forecast errors under different prediction derations,thereby more reasonably characterizing the uncertainty in wind power output.Second,the operation characteristics and reserve capac-ities of multiple resources(i.e.,generation,grid,load and storage)within the system are considered,and a day-ahead to intra-day coordinated two-stage robust optimization model that encompasses the startup and shutdown of resources,their power output and reserve capacities is constructed,which is further solved using a nested column and constraint generation algorithm.The result of a case study verifies the effectiveness and advantage of the proposed model in en-hancing the system's operation flexibility and facilitating the consumption of renewable energy,providing practical ref-erence and theoretical support for determining the unit commitment and reserve capacity schemes in the context of large-scale renewable energy integration into new power systems.
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