Optimal energy distribution and storage in a wind-based renewable electricity supply chain

Nowadays, utilization of renewable energies for satisfying electricity demand has received more interest, and renewable electricity generation has been growing in the world. This study addresses the operational planning of a renewable electricity supply chain over a multi-period planning horizon. The purpose of this study is to maximize total profit and to optimize the operational decisions related to power transmission and storage in a wind-based electricity supply chain. The applicability of the developed model is demonstrated by a case study. Due to the wind intermittency and demand variations, some probable scenarios are considered. Sensitivity analysis provides several managerial insights. Numerical results indicate that line capacity expansion can make a good promotion in each scenario by reducing unmet demand and making more profit. Moreover, incorporating an electricity storage system in wind farms improves demand covering in peak load hours.