Determining Optimal Power Flow Solutions Using New Adaptive Gaussian TLBO Method

A key component of the design and operation power transmission systems is optimal flow (OPF) problem. To solve this problem, several optimization algorithms have been developed. The primary objectives program are to minimize fuel costs, reduce emissions, improve voltage profiles, losses. OPF considered one most challenging problems due its nonconvexity significant computational difficulty. Teaching–learning-based (TLBO) an algorithm that can be used engineering problems. Although method has certain advantages, it does disadvantage: after iterations, becomes stuck in local optimum. purpose paper present a novel adaptive Gaussian TLBO (AGTLBO) solves problem improves performance conventional TLBO. Validating proposed undertaken using test for IEEE standards 30-bus, 57-bus, 118-bus. Twelve different scenarios tested evaluate algorithm. results show AGTLBO evidently more efficient effective when compared other published literature.