TY - JOUR ID - 46799 TI - Optimal energy distribution and storage in a wind-based renewable electricity supply chain JO - Journal of Industrial and Systems Engineering JA - JISE LA - en SN - 1735-8272 AU - Bayatloo, Fatemeh AU - Bozorgi-Amiri, Ali AU - Sabouhi, Fatemeh AD - School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran AD - School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran AD - Dept. of Industrial Engineering, Iran University of Science &Technology, Tehran, Iran Y1 - 2017 PY - 2017 VL - 10 IS - 4 SP - 110 EP - 122 KW - Renewable Energies KW - electricity supply chain KW - operational planning KW - electricity storage DO - N2 - 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. UR - https://www.jise.ir/article_46799.html L1 - https://www.jise.ir/article_46799_e26d610ebeee3d4f3fe9436750879ac5.pdf ER -