Under Voltage Load Shedding Scheme Using Meta-heuristic Optimization Methods
作者： Hussain Shareef , Azah Mohamed , Izham Zainal Abidin , Renuga Verayiah
关键词: Voltage collapse 、 Ant colony optimization algorithms 、 Load Shedding 、 Electric power system 、 Particle swarm optimization 、 Engineering 、 Robustness (computer science) 、 Voltage 、 Mathematical optimization 、 Artificial neural network
摘要: Load shedding has been extensively studied because of multiple power system failure occurrences worldwide. Reliable techniques are required to provide rapid and precise load avert voltage collapse in networks. Meta-heuristic optimization approaches currently the widely developed methods their robustness flexibility dealing with complex non-linear systems. These include genetic algorithm, fuzzy logic control, particle swarm optimization, artificial neural network, ant colony big-bang big-crunch many others. This study provides an overview all meta-heuristic implemented for under
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