Advanced probabilistic power flow methodology for power systems with renewable resources

Authors : DINH DUONG LE, NHI THI AI NGUYEN, VAN DUONG NGO, ALBERTO BERIZZI

Pages : 1154-1162

View : 15 | Download : 10

Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :Renewable~resources have added additional uncertainty to power grids. Deterministic power flow does not provide sufficient information for power system calculation and analysis, since all sources of uncertainty are not taken into account. To handle uncertainties PPF has been introduced and used as an efficient tool. In this paper, we present a cumulant-based PPF approach that can account for various sources of uncertainty in power systems with renewable resources such as wind and photovoltaic energy. We also propose the use of a new methodology to estimate probability distribution for wind power output based on measured data. The proposed approach is carried out on a modified IEEE-14 bus test system. Simulation results of the proposed method are then compared with the result obtained by Monte Carlo simulation.
Keywords : Probabilistic power flow, uncertainty, renewable resource