[en] This paper studies an extended formulation of the Security Constrained Optimal Power Flow (SCOPF) problem, which explicitly takes into account the probabilities of contingency events and of potential failures in the operation of post-contingency corrective controls. To manage such threats, we express the requirement that the probability of maintaining all system operational limits, under any circumnstance, should remain acceptably high by means of a chance-constraint. Further, representing power flow as per the full AC model, we propose a heuristic solution approach leveraging state-of-the art methodologies and tools originally developed to tackle the standard, robust-constrained SCOPF statement. We exemplify the properties of our proposal by presenting its application on the three area version of the IEEE-RTS96 benchmark, stressing the interpretability of both the chance-constrained reliability management strategy and of the heuristic algorithm proposed to determine it. This work serves to showcase that the first step on the transition towards probabilistic reliability management can be achieved by suitably adapting presently available operational practices and tools.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Karangelos, Efthymios ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Wehenkel, Louis ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
An iterative AC-SCOPF approach managing the contingency and corrective control failure uncertainties with a probabilistic guarantee
Publication date :
September 2019
Journal title :
IEEE Transactions on Power Systems
ISSN :
0885-8950
Publisher :
Institute of Electrical and Electronics Engineers, United States - New Jersey
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