Initialization Strategies for Optimization of Dynamic Systems
Initialization, Decomposition, Differential algebraic equations, Dynamic optimization, Large-scale, Smart grid energy system
For dynamic optimization applications, real-time solution reliability is improved if there is an initialized prior solution that is sufficiently close to the intended solution. This paper details several initialization strategies that are useful for obtaining an initial solution. Methods include warm start from a prior solution, linearization, structural decomposition, and an incremental unbounding of decision variables that leads up to solving the originally intended problem. Even when initialization is not required to solve a dynamic optimization problem, a staged initialization approach sometimes leads to an overall faster solution time when compared to a single optimization attempt. Several challenging optimization problems are detailed that include a high-index differential and algebraic equation pendulum model, a standard reactor model used in many benchmark tests, a tethered aerial vehicle, and smart grid energy storage. These applications are representative of a larger class of applications resulting from the simultaneous approach to optimization of dynamic systems.
Original Publication Citation
BYU ScholarsArchive Citation
Safdarnejad, Seyed M.; Hedengren, John; Lewis, Nicholas; and Haseltine, Eric, "Initialization Strategies for Optimization of Dynamic Systems" (2015). Faculty Publications. 1688.
Computers & Chemical Engineering, Elsevier
Ira A. Fulton College of Engineering and Technology
© 2015 Elsevier Ltd. All rights reserved.
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