Optimized Location of Distributed Generation in Distribution Network With Wind Turbine Generators

In order to solve the problem of optimized locating distributed generation in the distribution network with the wind turbines, the output power function is deduced according to the probability density function of wind speed. Then an objective function of penalty cost of wind turbine generators is built with such indexes as fixed investment cost and cost associated with load increment and output power of distributed generation, and minimum system loss and minimum active power output of conventional generators. In addition, voltage and current in distribution network are taken as constraint condition. Furthermore, the hybrid particle swarm optimization approach with the adaptive inertia particle swarm algorithm is used for global searching, and chaotic algorithm is used for local searching, which can obtain the optimized solution of objective function. In the end, the advantage of proposed model and algorithm is verified through IEEE 69 system.