All ETDs from UAB

Advisory Committee Chair

Gregory A Franklin

Advisory Committee Members

Shih-Min Hsu

Murat M Tanik

Gregg L Vaughn

B Earl Wells

Document Type

Dissertation

Date of Award

2016

Degree Name by School

Doctor of Philosophy (PhD) School of Engineering

Abstract

Passive shunt harmonic filter banks have proven to be an effective method for reducing harmonic distortion in high-voltage and extra high-voltage networks, while providing the necessary volt-ampere-reactive power support and voltage support. Previous work in this area has provided information regarding the design and application of harmonic filters as well as discussion of the different harmonic filter topologies that are typically employed. However, there is a lack of information in the area of optimal harmonic filter topology selection and sizing when the power system is networked. The core contribution of this work is the development of an optimization method for the optimal circuit topology selection, design and sizing of shunt passive harmonic filter banks when applied in HV and EHV networked power systems. In order to accomplish this, the proposed method is based on the minimization of a multi-objective optimization function and is solved using the Particle Swarm Optimization algorithm, referred to as the MO2PSO algorithm, and implemented in MATLAB. This work demonstrates that design rules of thumb or engineering experience are not required for selecting the most appropriate harmonic filter topology and size. Four sub-objective functions are developed and are based on four practical power system indices. The multi-objective function is developed with the objective of minimizing: 1) voltage total harmonic distortion at the point of application, 2) bus voltage deviation from nominal at the point of application, 3) overall power system losses and filter component power losses, and 4) voltage and current stresses placed upon the harmonic filter components. Furthermore, the multi-objective optimization problem is solved by using the weighted aggregation method, where the fitness function is a weighted sum of the four sub-objectives. The effectiveness of the optimization method is validated via numerical simulations, and demonstrated by applying it to the IEEE 14-bus, 57-bus, and 118-bus test systems and a classic 5-bus test system. Simulation results showed that the MO2PSO method effectively addressed the filter topology selection and sizing problem. The method considered the effects of existing network capacitor banks and changes in transmission system characteristics. The variability of filter quality factor, tuning frequency, and harmonic impedance of the network are investigated.

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