TY - JOUR
T1 - Improvement of power system transfer capability for contingency constrained cases
AU - Overbye, Thomas J.
N1 - Funding Information:
The author would like to acknowledge the support of NSF through its grant NSF ECS-9209570 and the Power Affiliates program of the University of Illinois at UrbanaChampaign.
PY - 1994
Y1 - 1994
N2 - As power systems become more heavily loaded, system operation will be increasingly constrained by contingent cases where the power flow equations have no real solutions. Since such cases often represent the most severe threat to viable operation of the transmission system infrastructure, it is critical that a computationally efficient method be developed to provide practical control recommendations to mitigate these cases. Such an algorithm is developed in this paper. The degree of unsolvability is quantified using the distance in parameter space between the desired operating point and the closest solvable operating point. The sensitivity of this measure to different system controls, including FACTS devices, is then calculated. These sensitivities are then used to determine the optimal way to mitigate the contingency. Additionally, the dynamic consequences of loss of solution are also discussed. The method is demonstrated on systems of up to 118 buses.
AB - As power systems become more heavily loaded, system operation will be increasingly constrained by contingent cases where the power flow equations have no real solutions. Since such cases often represent the most severe threat to viable operation of the transmission system infrastructure, it is critical that a computationally efficient method be developed to provide practical control recommendations to mitigate these cases. Such an algorithm is developed in this paper. The degree of unsolvability is quantified using the distance in parameter space between the desired operating point and the closest solvable operating point. The sensitivity of this measure to different system controls, including FACTS devices, is then calculated. These sensitivities are then used to determine the optimal way to mitigate the contingency. Additionally, the dynamic consequences of loss of solution are also discussed. The method is demonstrated on systems of up to 118 buses.
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U2 - 10.1080/07313569408955595
DO - 10.1080/07313569408955595
M3 - Article
AN - SCOPUS:0028550389
SN - 0731-356X
VL - 22
SP - 647
EP - 664
JO - Electric Machines and Power Systems
JF - Electric Machines and Power Systems
IS - 6
ER -