Probabilistic Assessment of Wind Turbine Impact on Distribution Networks by Using Latin Hypercube Sampling Method

Abstract

Determining the appropriate location for distributed generation resources to gain the maximum benefits is still a very challenging problem. Most of the losses in power networks happen in the distribution part. Distributed generation units, if placed in appropriate places, in addition to supplying the demand, could help reduce losses and improve voltage profile considerably. In this paper, the optimal placement of wind turbines for improving voltage profile and decreasing losses has been carried out. Since the voltage of the network buses and its losses depends on system load and installed distributed generation resources, it is necessary to determine the status of the distribution system at first then evaluation is done. A wind turbine will have different generation values depending on the speed of the wind that varies in different hours of a year. So, it is necessary to perform optimal placement for obtaining the optimum solution (improving voltage profile and reducing losses) considering the uncertainty of two variables, wind turbine generation, and network load by probabilistic assessment. In this paper, for reducing calculation and keeping the desired accuracy, the Latin Hypercube Sampling has been used. Also, there is a correlation between wind turbine generation and network load variables. Taking this correlation into account will make the simulations more realistic that is realized by the Cholesky decomposition method.