Optimal power flow control in a smart micro-grid using bird swarm algorithm

One of the emerging problems in the power systems is economic operation of electrical energy. Also, generation from multiple sources is required to be scheduled in a way to provide the optimal power and efficient operation of the electric network. In this study, an optimal power flow (OPF) problem is formulated and solved using an optimization technique named as bird swarm algorithm (BSA) with an aim of cost reduction and minimum carbon emissions. The proposed solution is tested on IEEE 30-bus testing system to obtain the optimal settings while keeping in consideration the stated constraints for active and reactive power, voltage stability and line capacity. Obtained results are then compared with the previous study, which as a result proved the effectiveness of our proposed algorithm.