Abstract
The conventional Power Flow and Optimal Power Flow (OPF) consider the Power System variables as certain quantities. But the uncertain nature of real time power system variables and the increased integration of renewable energy generation lead the modern power systems to account these uncertainties in their planning and operation. This paper presents the handling of uncertainties in solving the Probabilistic Optimal Power Flow (POPF) problem in the context of operating cost minimization, by using Point Estimate Method (PEM). In this work the uncertainties related with load power, Wind and Photovoltaic (PV) are considered. And to analyze the impact of the voltage dependency nature of loads, constant current and constant impedance load models are also considered. The POPF problem is solved for IEEE-9 bus and IEEE-57 bus test systems by using PEM and the results are compared against Monte Carlo Simulation (MCS).
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