Application of Genetic Algorithms for Optimal Reactive Power Planning of Doubly Fed Induction Generators

This paper describes optimal reactive power control of a doubly fed induction generator (DFIG), which is widely used in a distributed generating plant. Although its structure is similar to that of induction motors, its reactive power control is more complicated. In this paper, steady-state power transfer equations are derived and developed for a doubly fed structure of the induction generators. When a distributed power plant equipped with DFIGs is connected to a regional power grid, reactive power injection from the plant results in distribution system performances, e.g. voltage drop, power losses, etc. By using genetic algorithms, optimal reactive power injection can be achieved in order to minimize total power loss in power distribution systems. The 37-node IEEE standard test feeder is used to evaluate its performances. As a result, optimal reactive power control of DFIGs can reduce total power losses and also improve voltage profiles in power distribution systems. Key-Words: Optimal reactive power planning, doubly fed induction generator, optimization, genetic algorithms