(373r) Optimal Design and Operation of Flexible Energy Polygeneration Systems Using Decomposition Algorithms
The above problem is formulated as a scenario-based two-stage stochastic MINLP to optimize simultaneously design and operational decision variables. This work uses the recently developed GOSSIP software framework that implements decomposition algorithms such as nonconvex generalized Benders decomposition (NGBD) (, ), Lagrangian relaxation, and modified Lagrangian relaxation for efficient and scalable solution of nonconvex stochastic MINLPs . The results of the stochastic formulation are compared with the deterministic approach to demonstrate the improvement in economic performance as a result of taking uncertainty into consideration.
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