MCDM Programing for Tehran Power Posts in order to Peak Shaving with Battery Storage

Considering the increasing use of storage as one of the effective methods of peak demand management and increasing the reliability of the electricity network, it is necessary to prioritize the use of storages.The purpose of this study was to prioritize selected sub-distributive substations of Tehran for peak load, curve leveling and economic criteria using battery storage. First, we introduce different types of storage and considering the location of the storage in this study, the substations are power distribution. After prioritizing the posts and identifying the first priority posts, we determine the appropriate size of the storage and determine the delay time and the amount of benefit from delaying the development of the post when using the electrical energy storage. The method used is based on multi-criteria decision making with Shannon entropy weighting method and SAW implementation method. In this study, we used real data obtained from Tehran Regional Electricity and the data used for the 63 to 20 kW substations Ekbatan, Azadi, Azerbaijan, Abuzar, Sina, Depo and Yakhchi Abad on July 20, 2016. It is the hottest day of the year. The results of this study show that the maximum installed storage capacity calculated for the first priority post is 119.66 MWh and the maximum storage capacity is 18MW. the most suitable storage size for installing is 120MWh / 18MW. Using the storage at the selected post will delay the development of the post for 7 years and the benefit of underdevelopment is 40% of the investment cost.