Modeling smart grids using closed loop supply chain concepts

Abstract

AbstractaThe traditional electrical power grid used to be one-directional power flows (flowing from producers to consumers). Nowadays, the consumers become more active and they participate in electricity generation process through Demand -directional and production units more decentralized. Electrical grid architectures must be developed in parallel in order to meet these increasing changes that lead to what is known to be Smart Grids. In this paper, we first present a literature review about the smart grid architectures and the various associated models. Then, we propose a closed loop supply chain approach to model and optimize configurations and operations of smart grid systems. Within this context, a whole section is devoted to the development of a mixed nonlinear programming model to optimize the architecture of given smart grid systems. For illustrative purposes, using a specific smart grid system and appropriate data, we model the problem and solve it for the optimal architecture.

A Prognostic Three-Axis Coordination Model for Supply Chain Regulation Using Machine Learning Algorithm

“…Since an adaptive mechanism provides efficient solutions, it is also integrated for analyzing the effect of the smart grid process [4], where the nonlinear programming model is encoded for the optimization process. Even though the process aims to provide quick solutions to all prosumers, only implementation cost is observed with the distribution process.…”

“…While analyzing the each set of scales, the visibility level should be checked in a sensible manner, where data should be interrupted correctly. e abovementioned approaches differ from existing [1][2][3][4][5] methods in the absence of RFID tags which is a cost-saving process in the optimum method of creation of tags.…”