Abstract
The installation of power capacitors in distribution systems yields numerous economical benefits and improvements in system performance. There are many algorithms to determine the optimal capacitor sizes and their placement in distribution systems. A majority of the research in this area has used analytical or numerical methods to determine solutions for the optimal capacitor allocation problem. With the growing popularity of artificial intelligence (AI), and availability of AI software packages, several researchers have applied AI techniques to determine optimal capacitor allocation and control. The paper is a critical survey of such techniques including neural networks, genetic algorithms, expert systems, and fuzzy set theory.
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