Optimal multiobjective planning of large-scale passive harmonic filters using hybrid differential evolution method considering parameter and loading uncertainty

This paper is used to investigate the optimal multiobjective planning of large-scale passive harmonic filters for a multibus system under abundant harmonic current sources using the hybrid differential evolution (HDE) method. The migrant and accelerating operations embedded in HDE are used to overco...

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Bibliographic Details
Published in:IEEE transactions on power delivery 2005-01, Vol.20 (1), p.408-416
Main Authors: Ying-Pin Chang, Chi-Jui Wu
Format: Article
Language:English
Subjects:
Acceleration
Furnaces
Harmonic filter
Harmonic filters
hybrid differential evolution
Large-scale systems
optimization
Power harmonic filters
power quality
power system harmonic
Power system harmonics
Reactive power
Total harmonic distortion
Uncertainty
Voltage
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Summary:This paper is used to investigate the optimal multiobjective planning of large-scale passive harmonic filters for a multibus system under abundant harmonic current sources using the hybrid differential evolution (HDE) method. The migrant and accelerating operations embedded in HDE are used to overcome traps of local optimal solutions and problems of time consumption. The design purposes are to minimize the total demand distortion of harmonic currents and total harmonic distortion of voltages at each bus. Filters loss, fundamental reactive power compensation, and constraints of individual harmonics are also considered. The search for the global optimal solution is applied to the harmonic problems in a steel plant, where both ac and dc arc furnaces are used and a static var compensator is installed. Three design schemes are compared to demonstrate the performance of HDE. Finally, expectations of objective function are used to present the effects of filter parameter detuning and furnace loading uncertainty.
ISSN:0885-8977
1937-4208
DOI:10.1109/TPWRD.2004.835033