Analytical approaches to assess embedded wind generation effects on distribution networks

Among the intermittent distributed generation technologies the wind generation play a key role in supplying energy to modern grid customers. The characteristics of wind are intermittent and intermittent wind effects on power networks are analyzed using time series models or analytically using probability density functions and combinatorial effects of events. Analytical methods are limited by number of uncertainties in a network; however, current advances in smart control technologies enable to contain number of uncertainties and their interactions. Considering these facts into account, the paper presents analytical techniques to quantify expected system losses, voltage rise effects, firm power output of wind plants, and likelihood of such effects in a distribution network. The paper also presents a formulation to quantify the wind integration capacity limit by controlling the voltage rise effects. A case study is presented to demonstrate the realistic values of techniques. Results suggest that wind generation capacity can be increased by knowing the likelihood of high wind speed.