Optimal Hybrid Power Filter Compensator Design Using Multi-objective Particle Swarm Optimization (MOPSO)
Computer Modeling and Simulation, International Conference on (2009)
Mar. 25, 2009 to Mar. 27, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/UKSIM.2009.62
The paper presents a novel discrete search optimization and approach to solve the problem of the hybrid power filter compensator with design a C-type filter and fixed capacitor bank using Discrete Multi Objective Particle Swarm Optimization MOPSO method. This is to ensure both loss reduction and harmonic current mitigation on electrical utility grid. This novel optimization approach, a Multi Objective Particle Swarm Optimization MOPSO method is implemented to tackle a number of conflicting search goals that define the complex optimal filter design problem. The paper presents the following conflicting objective functions and a compromising selection criterion:1. Minimum feeder current for maximum AC system grid capacity release,2. Minimum dominant harmonic current penetration into the host electric grid system, 3. Maximum harmonic current absorption by the hybrid harmonic power filter with the fixed capacitor bank,
HPFC-Hybrid Power Filter Compensator; Power Quality; Multi-Objective Particle Swarm Optimization (MOPSO).
Adel M. Sharaf, Adel A.A. El-Gammal, "Optimal Hybrid Power Filter Compensator Design Using Multi-objective Particle Swarm Optimization (MOPSO)", Computer Modeling and Simulation, International Conference on, vol. 00, no. , pp. 391-397, 2009, doi:10.1109/UKSIM.2009.62