Quadratic programming approach for security constrained optimal power flow

This paper proposes an approach for optimal power flow considering several contingency states. Initially, contingency selection is conducted to measure how much a specific contingency may affect the operation cost. Then, some severe contingencies are incorporated into optimal power flow problem. All considered states, normal and contingency states, are simulated simultaneously. Thus, if contingency occurs, it can be ensured that all constraints such as generation limit, transmission limit and ramp rate will be satisfied. To solve the problem, quadratic programming is applied. IEEE 30 bus system is used as test system to show the ability of the proposed approach.

[1]  Adi Soeprijanto,et al.  Security constrained optimal power flow incorporating preventive and corrective control , 2014, 2014 Electrical Power, Electronics, Communicatons, Control and Informatics Seminar (EECCIS).

[2]  Adi Soeprijanto,et al.  Security constrained optimal power flow with FACTS devices using bender decomposition , 2014, TENCON 2014 - 2014 IEEE Region 10 Conference.

[3]  T. Gedra,et al.  Optimal power flow with expected security costs , 2006, IEEE Transactions on Power Systems.

[4]  J.M. Ramirez,et al.  Optimal Power Flow Subject to Security Constraints Solved With a Particle Swarm Optimizer , 2008, IEEE Transactions on Power Systems.

[5]  Allen J. Wood,et al.  Power Generation, Operation, and Control , 1984 .