Nowadays, consumers need to have reliable electricity services with fewer interruptions because of their sensitive equipments. So, distributed and renewable generation sources such as wind turbines, photovoltaic systems, battery storages and etc are used more than before. On the other hands, these sources may increase the power quality pollution in network. Integration of distributed generations into distribution networks has given rise to such power quality problems as voltage flicker and short variations (sag and swell). Considering important roles of these sources in distribution network, a part of radial distribution network will be studied with several wind turbines which are main flicker producer within it. We will investigate that how different factors such as load power factor and X/R ratio in distribution lines can affect on flicker level in network. In this thesis, after a survey on flicker, its specifications and indices, flickermeter and its blocks are considered. Flickermeter is the common device that used for measuring the flicker. Flicker power is one of the most important features that used to determine the dominant flicker source and flicker propagation in network. In this method, voltage and current signals which are contained fundamental carrier and flicker components are measured in monitoring points, then flicker component is derived by demodulation process, finally flicker power is calculated by multiplying instantaneous flicker level of voltage and current. A positive sign means the same flow direction as the fundamental power flow, while a negative sign implies an opposite flow direction with respect to the fundamental power flow. Hence, the sign of flicker power give information whether a flicker source is placed upstream or downstream with respect to the monitoring point. This method is confirmed by measuring voltage and current signals at 2 points and determining dominant flicker source for 10 states in network which is chosen to simulate. There are several flicker sources in electricity networks and flicker level which is measured in each points of network represents the summation of these flicker sources. So, it is important to know that which source has more contribution in monitoring point or in the other parts, it is essential to determine the contribution of each source in each points of network. The main object of this thesis is presentation of an index or a method for determining flicker contribution in monitoring points. For this purpose, feeder’s impedance which are seen from monitoring point are used. It is proved that the contribution of each feeder is equal to its impedance relative to summation of all impedances which are seen from that point. Finally, the result of flicker contribution from simulation is compared with impedance method. Keywords: Flicker, Flickermeter, Wind generation sources, Flicker power, Dominant flicker source, Flicker propagation, Radial distribution network, Flicker contribution