A multi objective feeder optimization model for Improved Power Stability Performance in Grid Networks

The problem of power grid performance management has been well studied. There exist numerous techniques towards this problem which consider limited parameters like energy of feeders, production of grids and so on. However, they suffer to achieve higher performance of grid networks. To handle this problem, an efficient Multi-Objective Feeder Optimization Model (MFOM) is presented in this article. The method focused on improving the performance of feeders by stimulating the usage of electricity available with the feeders. To perform this, the method monitors the feeder status about their average residual energy, average power production and average power drain. Using these factors, the method triggers the specific set of feeders for the power requirement by computing Multi-Objective Feeder Power Quality (MFPQ). According to the MFPQ value, the model identifies set of feeders for the current cycle to support the power requirement of any electrical system. The proposed MFOM model improves the performance of power utilization and power stability.