Moth Flame optimization for Transmission loss Minimization in Optimal Power Flow Using Renewable Energy

Abstract

The reduction of line losses due to current heating is known as loss minimization in optimal power flow (OPF). This is accomplished by selecting and enhancing an existing power solution from the system's past cost reduction. This paper offers a collection of methods for assessing congested power networks to achieve the lowest operating cost with the fewest line losses. The approaches are computer-simulated in MATLAB, and convergence is reached at ranges. As a result, the focus of this research is on designing appropriate OPF algorithms to address the 'congestion management quandary.' To evaluate the efficacy of the suggested method, simulations are run on the IEEE 57-bus system. For network security, transmission line capacity and bus voltage restrictions, as well as generator capacities and limited working zones for thermal devices, are all considered. Moth Flame Optimization (MFO) outperforms other stochastic algorithms in terms of solution quality and practicality, indicating its use and expertise. The results are promising, indicating that the MFO is a highly successful optimization tool for dealing with a wide range of OPF problems.