Cuckoo Search Algorithm and Ant Lion Optimizer for Optimal Allocation of TCSC and Voltage Stability Constrained Optimal Power Flow

The work presented in this article provides a hybrid approach of Cuckoo Search algorithm (CS) and Ant Lion Optimization (ALO) for solving a multi-objective optimization problem of secured optimal power flow and optimal placement and rating of thyristor-controlled series compensator (TCSC) in IEEE standard 30-node power transmission network to minimize network power losses and simultaneous improvement in node voltage profile. The power flow solution is computed using Newton–Raphson (NR) algorithm under both normal and overloading operating condition. The quadratic fuel cost is chosen as the objective functions. A new power flow index is proposed for finding the optimal location for TCSC. The optimal size of TCSC is determined using ALO. The efficacy of the proposed approach is examined and verified by comparing it with the other algorithms such as gravitational search, firefly algorithm, and other techniques such as fuzzy and neural networks. The statistical analysis is also performed to evaluate the competency of the methodology.