Transmission network expansion planning based on the particle swarm optimization algorithm

This paper presents an approach for solving the transmission network expansion planning (TNEP) problem through the particle swarm optimization (PSO) for the first time. PSO has demonstrated the ability to deal with non-convex. non-linear, integer-mixed optimization problems. In this formulation, the objective function and operating constraints include the corona-power loss term. The objective function consists of three terms: cost of investment of new transmission lines, ohmic power loss of new and existing lines, and corona-power loss of new lines. This combination of terms results in a non-linear objective function. A case on transmission network planning problem is presented to show the methodology's feasibility and efficiency, compared with the existing optimal planning methods, the search time of the particle swarm optimization method is shorter and the result is close to the ideal solution, simultaneously.