Available transfer capacity evaluation through evolutionary algorithms

In deregulated environment (DE), available transfer capacity (ATC) calculation is a crucial matter in the power system operation and it is a key in view of trade of electricity. In this paper, it is emphasized to the calculation of ATC with the help of optimal power flow (OPF) method along with different soft computational techniques viz. particle swarm optimization (PSO) and biogeography-based optimization (BBO). The ATC is the deciding factor on the base of the effect of transaction on transmission to allow or disallow bilateral transmission transection. The OPF has many objectives in DE with open market situation and these calculations aid to independent system operator (ISO), to handle the congestion threat over transmission lines and assure security and reliability. The two methods of soft computing i.e. PSO and BBO have been adopted to figure out the aforesaid criteria in ATC calculation through OPF, a corrective technique, which hints new generation schedule to resist congestion and gives clues to tune the controlled parameters (e.g. tap setting, reactive power injection etc) to avoid the violation of power system constrains (bus voltage limit and reactive power injection limit etc. In this paper, PSO is implemented to evaluate ATC then BBO for the same. The proposed methods are tested on IEEE 30 bus test system and their results are compared and is it observed that BBO results is better than that of PSO.