Abstract
The presence of power system harmonics due to the increasing number of nonlinear loads in modern industry has become a growing concern for the engineers. Among the harmonic mitigation methods available, the use of single tuned passive filters is 1 of the techniques most widely employed due to their simplicity and low cost. The formulation here presented considers the probabilistic nature of parameters' deviations of the filters and of the system by using the Monte Carlo statistical simulation method. The optimization determines a set of single tuned harmonic filters to obtain the maximum saving of annual cost as well as the best power quality indices of the circuit. The obtained solutions comply with the constraints of power quality and of stress of capacitors. The multiobjective optimization problem is solved by the nondominated sorting genetic algorithm. The presented methodology is tested with an example circuit of literature.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Transactions on Electrical Energy Systems
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
