A Parallel Multimodal Optimization Algorithm for Simulation-Based Design of Power Systems

This paper proposes a parallel multimodal optimization algorithm that is combined with electromagnetic transient simulation in a platform that unifies the setup, test, and execution of optimal designs for power systems. The algorithm speeds up the design of power systems as its computations can be e...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on power delivery 2015-10, Vol.30 (5), p.2128-2137
Main Authors: Goharrizi, Ali Yazdanpanah, Singh, Rajendra, Gole, Aniruddha M., Filizadeh, Shaahin, Muller, John Craig, Jayasinghe, Rohitha P.
Format: Article
Language:English
Subjects:
Algorithm design and analysis
Algorithms
Computation
Computational modeling
Computer simulation
Convergence
Design engineering
Grid computation
Linear programming
Mathematical analysis
Mathematical models
multimodal optimization
Optimization
Power conversion
power systems transient simulation
Sensitivity analysis
simulation-based design
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper proposes a parallel multimodal optimization algorithm that is combined with electromagnetic transient simulation in a platform that unifies the setup, test, and execution of optimal designs for power systems. The algorithm speeds up the design of power systems as its computations can be executed independently on a highly parallelized environment. Additional speedup is achieved by using a surrogate model to estimate the objective function in regions of suspected local optima. The estimated functions can be used in the subsequent stages of postoptimization studies, such as sensitivity analyses. Comparative studies, in terms of computation time, are conducted against sequential execution of the proposed algorithm. The optimal design of a VSC-HVDC transmission is described to demonstrate the capabilities of the proposed algorithm.
ISSN:0885-8977
1937-4208
DOI:10.1109/TPWRD.2015.2410172