Optimal Control of Smart Grid Energy Distribution

Abstract

The integration of interconnected microsources, such as solar, wind, and plug-in electric vehicles (PEVs), into future power grids presents both opportunities and challenges. These microsources offer the potential to reduce carbon emissions and increase the share of renewable energy in meeting the growing global demand for electrical energy. However, their sporadic and stochastic nature poses challenges in terms of tradability and optimizing the use of renewable energy sources. The need for microsource becomes a necessity in order to meet the growing demand of electricity. However, there is still much debate on how the electricity trading should be coordinated in Smart Grid and the use of renewable energy sources (RESs). In this context, our paper aims to study the impact of the integration of energy decentralization into the electricity network. In this sense, we have implemented a new smart grid model where several coexisting suppliers can exchange information with consumer in real time. The simulation results prove the effectiveness of this approach in improving energy exchange and minimizing consumer purchase costs.