Owing to the intermittent nature of wind power

great changes may take place in the distribution system infrastructure and operation of the distributed generators (DGs) deployed

such as wind turbines

in the distribution system. It also influences the security and reliability of the distribution system. So the optimal allocation of DG is critical to making them work better in the distribution system. In this study

a methodology is proposed to optimally allocate wind-based DG in the distribution system for minimizing the average energy loss. The method is based on a probabilistic model of wind power considering the wind speed Weibull probability distribution function and wind turbine force outage rate (FOR). And the stochastic model of energy loss can be analyzed by using the probabilistic power flow based on Cornish-Fisher expansion to learn about the impact of random fluctuation of wind power and load on the distribution system of DG. By using the mixed integer nonlinear programming method

the best access point and injection capacity of the wind power system can be determined to minimize the active power loss.