A convex optimization based decentralized real-time energy management model with the optimal integration of microgrid in smart grid

摘要

A robust, decentralized, and real-time power management system is proposed by taking into account the economic dispatch constraints, overhead transmission lines reduction, and self-healing failure's mechanisms. Designed state of the art model is applicable to all the sectors of electricity consumers (residential, commercial, and industrial), utility companies and the power grid. Paramount importance is given to microgrids (MGs), while both of its modes (isolated and grid connected) are analyzed to examine the features of economic dispatch and system's net revenue in our prototypic. To deal with uncertainty in the demand curves, an innovative approach is adopted for the classification of electric load, according to their physical characteristics and user preferences. Furthermore, electricity generation is predominantly dependent on renewable energy sources (RESs), facilitated with the energy storage systems (ESSs); optimal scheduling methodology for power is introduced to tackle its intrinsically stochastic nature. Our problem minimizes the power system's aggregated cost with respect to power generation, consumption, and worst case transaction costs. Subgradient method is applied to solve our optimization problem, while lagrangian dual decomposition is used to transform the problem into subproblem for the accomplishment of all the objectives in distributed manners. For the corroboration of our strategy, results are reported after extensive numerical analysis. (C) 2019 Elsevier Ltd. All rights reserved.