Abstract

For growing of electrical demand in the modern world energy requirement is tremendously increased day to day power market. Nowadays the non-conventional energy sources are utilized to meet out the current power demand through PV, wind and other non-conventional resources etc. In this concern the energy drawn from the other non-conventional energy sources is highly variable due to the nature of uncertainties. Hence the optimal load dispatch of the power is highly difficult, one of the attempts is to eradicate this difficulty by adding developed uncertainty model of PV and wind sourced power generation in power system network. Uncertainties of PV irradiation and wind speed models are developed by using generic probabilistic approach. By using this hybrid system, instantaneous power flow of a DG system is obtained through Monte carlo simulation (MCS) in the MATLAB/SIMULINK packages. Enhancement of optimal power flow (opf) and system reliability due to addition of uncertainty variables in DG sourced power systems.Index TermsLoad flow analysis, Monte Carlo simulation (MCS), integration of Photovoltaic generator and wind (PVG and WEG).

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