Static security constraint management, formulated as security constrained optimal power flow (SCOPF), is one of the critical tasks performed during planning and operation. These constraints at any operating point can be divided into noncritical and critical constraints, where former can be managed with preventive controls, while the latter cannot. The violation of at least one critical constraint indicates that network is overstressed and needs a prompt activation of remedial actions to preserve system integrity. Accordingly, critical constraint violations (CCVs) must be identified by solving related SCOPF problem, as information on their types and locations can help to devise and activate optimal remedial actions. However, when dealing with overstressed systems, conventional SCOPF methods may not be able to identify CCVs due to problem infeasibility and there is no commonly accepted method to find related CCVs. Extending previously developed metaheuristic approach, this paper first identifies the CCVs and then proposes a novel methodology to devise the most effective remedial actions to mitigate overstressed system operating conditions. The practical relevance of the remedial actions is demonstrated using IEEE 30-bus, 39-bus and 57-bus test networks.
|Journal||IEEE Transactions on Power Systems|
|Early online date||25 Jan 2018|
|Publication status||Published - 1 Sep 2018|
FingerprintDive into the research topics of 'Remedial Actions for Security Constraint Management of Overstressed Power Systems'. Together they form a unique fingerprint.
- School of Engineering - Personal Chair of Electrical Power Systems
Person: Academic: Research Active