Advanced probabilistic power flow methodology for power systems with renewable resources

Authors

DINH DUONG LE
NHI THI AI NGUYEN
VAN DUONG NGO
ALBERTO BERIZZI

DOI

10.3906/elk-1511-302

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

First Page

1154

Last Page

1162

Recommended Citation

LE, DINH DUONG; NGUYEN, NHI THI AI; NGO, VAN DUONG; and BERIZZI, ALBERTO (2017) "Advanced probabilistic power flow methodology for power systems with renewable resources," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 25: No. 2, Article 39. https://doi.org/10.3906/elk-1511-302
Available at: https://journals.tubitak.gov.tr/elektrik/vol25/iss2/39