A parallel approach for multi-contingency transient stability constrained optimal power flow

Large-scale multi-contingency transient stability optimal power flow (TSCOPF) is a hard problem due to its high computational intensity. This paper presents a new contingency-level parallel approach to solve TSCOPF on multi-core infrastructure. By utilizing the recursive reduced-order decoupling algorithm, the proposed parallel implementation makes each contingency being handled independently on CPU cores. The approach is implemented in client-workers parallelism and reliefs computation burden by decomposing contingencies. Case studies show that this parallel approach reduces computational time and expands with ease as the number of contingencies increases.