An interval-based contingency selection approach considering uncertainty

Authors

CHAO XU
WEI GU
LIZI LUO
JIANGUO YAO
SHENGCHUN YANG
KE WANG
DAN ZENG
MIAO FAN

DOI

10.3906/elk-1502-108

Abstract

Static security assessment is affected by uncertainties of load flow distributions introduced by renewable sources. A fast contingency selection approach based on interval theory is proposed in this paper. Firstly, an interval line active flow calculation algorithm is developed to reduce conservation in application of interval mathematics in line flow calculation. Then a novel interval comparison method based on Bayesian probability theory is applied in interval index comparison to give the relative severity information of contingencies. Finally, an approximately consistent ranking method is utilized in contingency ranking to rank screened contingencies. Numerical studies on several IEEE standard test systems and two practical provincial power grids in China under different load and generation conditions have proved that the proposed approach is computationally light and highly accurate under different uncertainties.

Keywords

Contingency selection, Bayesian probability theory, DC power flow, interval arithmetic, uncertainty

First Page

4682

Last Page

4692

Recommended Citation

XU, CHAO; GU, WEI; LUO, LIZI; YAO, JIANGUO; YANG, SHENGCHUN; WANG, KE; ZENG, DAN; and FAN, MIAO (2016) "An interval-based contingency selection approach considering uncertainty," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 24: No. 6, Article 11. https://doi.org/10.3906/elk-1502-108
Available at: https://journals.tubitak.gov.tr/elektrik/vol24/iss6/11