Using a particle swarm method to optimize the weighting in extension theory for the detection of islanding in photovoltaic systems
DOI10.1016/J.CAMWA.2012.03.091zbMath1356.90177OpenAlexW2065746906MaRDI QIDQ745846
Kuei-Hsiang Chao, Uei-Dar Lai, Meng-Hui Wang
Publication date: 14 October 2015
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.camwa.2012.03.091
extension theoryislanding detectionphotovoltaic (PV) power generation systemtwo-dimensional particle swarm optimization (2D-PSO)
Applications of mathematical programming (90C90) Approximation methods and heuristics in mathematical programming (90C59)
Uses Software
Cites Work
- Integration of task abortion and security requirements in GA-based meta-heuristics for independent batch grid scheduling
- Comparison of multi-objective optimization methodologies for engineering applications
- Particle swarm algorithm for solving systems of nonlinear equations
- Shadow detecting using particle swarm optimization and the Kolmogorov test
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