The Master thesis proposes a simulation of the distribution system with Monte Carlo method. We used this method because of the stochastic nature of loads and unpredictability of EV charging. The power of loads of every time interval was presented with probability functions. EV’s charging start time and charging time was also presented with PDF. In every Monte Carlo step, we determined the charging start time and charging time for every EV from PDF. We created a random number and determined the power of loads in that step for every time interval. We read the power of EV charging and ran the power flow calculation. As a result of the simulation, we got probability functions of voltages at the nodes and power flow across the transformer.
|
