Artificial Bee Colony (ABC) Algorithm based Transmission Expansion Planning with Security Constraints

These days Transmission Network Expansion Planning (TNEP) is a noteworthy power system optimization issue in light of the fact that the modern electric power systems comprise of large-scale, very complex interconnected transmission systems which must be planned essentially. TNEP problem is a non-linear, non-convex optimization problem. Such problems can be easily solved using meta-heuristic optimization technique. This paper outlines solution of TNEP problem using Artificial Bee Colony (ABC) algorithm, a meta-heuristic optimization technique. ABC algorithm is mainly based on foraging behaviour of honey bees. The main purpose is to minimize the investment cost of network planning while satisfying the prevailing constraints. The ABC method is tested with 132 kV 5 bus MSETCL Network system in Amravati Region, Garver’s six bus system and IEEE 24 bus system with and without considering security constraints. The results obtained by this method are found to be superior as compared to those obtained using other methods reported in the literature.