Application of multi-verse optimizer for transmission network expansion planning in power systems

Transmission Network Expansion Planning (TNEP) is an important issue in electrical power systems. It is a mixed integer, non-linear, non-convex optimization problem which aims to optimal selection of the routs, types, and number of the added circuits to face the expected future predicted load forecasting at minimum costs. This paper proposes the application of MultiVerse Optimizer (MVO) for solving the TNEP with security constraints. MVO has various merits of being simple structure, having adaptive control parameter, and operating with high ability to escape the local optima stagnation. The MVO has been developed and applied to solve the TNEP problem for two realistic transmission Egyptian networks of West Delta System (WDS) and 500 kV of Extra High Voltage System (EHVS). The predicted load forecasting up to 2030 is considered based on the adaptive neuro-fuzzy inference system (ANFIS). The simulation results for the two systems show the capability of the proposed MVO to solve efficiently the TNEP problem. The MVO superiority is proven to produce economic planning and secure transmission routes.