Hybrid and parallel-computing methods for optimization of power systems with electromagnetic transient simulators
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Date
2023-03-29
Authors
Kuranage, Dilsha
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Abstract
This thesis introduces new methods for using electromagnetic transient (EMT) simulators
to efficiently optimize controllers of the power electronic converters in power systems with
complicated dynamic behavior. This work is motivated by several challenges that must be
overcome during the design process, including high computational burden of simulating large
switching systems, repetitive nature of the design cycle, the large number of variables that
need to be handled, etc. These challenges are addressed in this research by combining an
EMT simulator with optimization algorithms and by developing novel approaches to reduce
the entire simulation time.
Two screening methods are introduced in this thesis that can identify non-influential
parameters so that the number of parameters to be optimized can be reduced, thus decreasing
the computational burden of the process. Moreover, multi-algorithm and parallel processing
techniques are developed to achieve additional computational benefits by making the design
process faster. In this research, new pathways are created to solve simulation-based design
problems with a large number of parameters by amalgamating all the above approaches.
Several power system examples are simulated using PSCAD/EMTDC, and the accuracy
and efficiency of the proposed methods are assessed and confirmed. The results show significant
reductions in the time to design optimal systems without compromising the quality of the optimal performance.
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Keywords
Electromagnetic transient simulation, optimization algorithms, parallel processing, large-scale power systems