QUANTIFY IMPACT OF GREEN AND SUSTAINABLE TECHNOLOGIES ON AGED DISTRIBUTION SYSTEM

Life of transformer depends on its insulation, which varies due to winding hot spot temperature (HST). Temperature is one of the important factor which affects transformer aging according to IEEE Std C57.91. The HST basically depends upon ambient temperature, top oil temperature (TOT) rise over ambient temperature and HST rise over TOT rise. This paper performs an existing 200kVA oil-type residential distribution transformer (DT) life expectancy analysis to evaluate the impact of solar radiation, wind velocity, electric vehicle (EV) and photo voltaic (PV) penetration for one day. This study presents a probabilistic approach using monte carlo to quantify the impact of weather, green technology as PV and EV to estimate DTs loss of life. Monte carlo method is used for analyzing uncertainty propagation, in this study the unpredicted parameters are solar generation and EV charging pattern. Monte carlo is best suited for random data handling applications. The results presented in this paper are cross-verified as, analytical HST results are compared with matlab/simulink model, analytical loss of life results are compared with monte carlo method and optimum sizing of battery solution is provided by particle swarm optimization method (PSO).