An Energy Efficient Requirement Optimization Model Based Power Switching for Improved Performance in Smart Grids

Abstract

Power switching in smart grid has been identified as the key issue in literature. There exist number of models to handle this problem which consider the residual energy of grids in performing power switching. However, the performances of the models are not up to the expected rate. To handle this issue, an efficient Requirement Optimization based Power Switching Model (ROPSM) is presented in this article. The model focused on optimizing the selection of power grids towards maintaining the power stability in smart grids. To perform this, the model monitors the incoming voltage level and maintains the voltage production capability of various grids at all the duty cycles. Based on that, the method computes Power Requirement Support (PRS) value for various grid units. According to the value of PRS, a subset of grids are selected to optimize the power stability and allowed to regulate the power. The proposed model improves the performance of power stability in smart grid environment.

Keywords

• smart grids
• power switching
• ropsm
• prs
• requirement optimization