Network Optimization
Mohammad Saberi; Mehdi Hatef
Abstract
The purpose of Transmission expansion planning (TEP) is to find the required network lines with the lowest investment cost So that the future burden will be provided economically by observing the system security indicators. Due to the uncertainty of the load, Distributed wind power and Responsive resources ...
Read More
The purpose of Transmission expansion planning (TEP) is to find the required network lines with the lowest investment cost So that the future burden will be provided economically by observing the system security indicators. Due to the uncertainty of the load, Distributed wind power and Responsive resources to load and competitive markets for Transmission expansion planning, Faced with challenges that require new models to be felt more than ever. In this paper, a multi-objective TEP model is presented taking into account investment costs, Responsive resources to load, along with an index for determining system security. These target functions are optimized for obtaining a non-dominant solution set based on operator priorities (cost or risk), using pareto power evolutionary algorithms based on multi-objective particle pool optimization (SPEA2-MOPSO). The proposed model is numerically verified on the modified IEEE RTS 24- bus and 118-bus systems. According to the simulation results, the proposed model can provide information regarding variants of risks and coordinate the optimum planning and DR solutions.