Temperature dependent optimal power flow

Abstract

To improve the accuracy of losses in case of power flow calculation, corrected branch resistance must be considered which has taken as constant in conventional power flow. Recently, sine cosine algorithm (SCA) is proposed for the solution of global optimization problem. New stochastic SCA optimization adaptively balances the exploration and exploitation to find the optimal solution quickly. The effectiveness of the proposed SCA has been analyzed on IEEE 30-bus test power systems for the solution of temperature dependent optimal power flow with different objectives that reflect minimization of fuel cost or active power loss. The results presented in this paper compared to other evolutionary optimization techniques which shows that the proposed SCA algorithm outperforms the other techniques in terms of convergence rate and global search ability.