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

• Published in: 2017 International Conference on Smart Systems and Technologies (SST) pp. 209 - 215
• Main Authors: Barukcic, Marinko, Zgela, Matej, Buljic, Dalibor
• Format: Conference Proceeding
• Language: English
• 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
• DOI: 10.1109/SST.2017.8188697

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.