This study proposes a novel optimal generation scheduling model for virtual power plant (VPP) considering the degradation cost of energy storage system (ESS). The VPP is generally formed by a mix of distributed energy...
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This study proposes a novel optimal generation scheduling model for virtual power plant (VPP) considering the degradation cost of energy storage system (ESS). The VPP is generally formed by a mix of distributed energy resources, and the ESS is an important installation for flexible VPP dispatch due to its controllable and schedulable behaviours. For the operations of battery storage systems, the ambient temperature and depth of discharge have significant impacts on the wear and tear of the ESS as well as battery degradation cost. Furthermore, the battery degradation cost is modelled and approximated by a piecewise linear function, and then incorporated into the proposed optimal VPP scheduling model. Consequently, the optimal VPP scheduling problem is formulated as a two-stage stochastic mixed-integer linear programming in order to maximise the expected profits of the VPP. The proposed model has been successfully implemented and tested through a representative case study, and the influence of battery degradation cost on optimal VPP scheduling has also been thoroughly analysed and demonstrated.
In this contribution, a moving horizon strategy (MHS) based on two-stage stochastic mixed-integer linear programming with recourse (2S-MILP) for medium-term planning under multi-period multi-uncertainty (MPMU) (demand...
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In this contribution, a moving horizon strategy (MHS) based on two-stage stochastic mixed-integer linear programming with recourse (2S-MILP) for medium-term planning under multi-period multi-uncertainty (MPMU) (demand, plant capacity and yields uncertainties) is proposed. A dynamic 2S-MILP formulation is introduced to consider the evolution of the uncertainties in medium-term planning. The moving horizon strategy with explicit uncertainty model is applied to the medium-term planning of a polymer production plant with batch and continuous production steps where different amounts of final products are delivered by each batch according to the chosen recipes and the products can be assigned to different demands. The 2S-MILP results are compared to the results obtained from planning using the expected values of the uncertain parameters (EEV). (C) 2010 Elsevier Ltd. All rights reserved.
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