The Python-OpenDSS co-simulation for the evolutionary multiobjective optimal allocation of the single tuned passive power filters

The multiobjective allocation optimization of single tuned passive power filters for decreasing the power losses and harmonic mitigation in distribution networks is presented in the paper. The Pareto definition of the multiobjective problems is used in the paper. The two objectives problem consists...

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Bibliographic Details
Published in2017 International Conference on Smart Systems and Technologies (SST) pp. 209 - 215
Main Authors Barukcic, Marinko, Zgela, Matej, Buljic, Dalibor
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2017
Subjects
Capacitors
co-simulation
DEAP
distribution network
Harmonic analysis
Linear programming
NSGA-II
Optimization
Passive filters
Power filters
Power harmonic filters
PyGMO
SPEA2
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Summary:The multiobjective allocation optimization of single tuned passive power filters for decreasing the power losses and harmonic mitigation in distribution networks is presented in the paper. The Pareto definition of the multiobjective problems is used in the paper. The two objectives problem consists of the two technical objective functions, the real power losses and the total harmonic distortion, is used. The evolutionary algorithm is used as optimization technique to solve the problem. The two open source software tools intended for evolutionary optimization and distribution system simulation are used in co-simulation. The presented procedure is demonstrated by applying it on the test feeder example. The comparison of the simulation results obtained by different evolutionary algorithms available in the used optimization tools is given.
DOI:10.1109/SST.2017.8188697