Prioritization of Tehran’s Distribution Power Posts in Using of Battery Storage to Peak Shaving and Load Curve Leveling: A Multi-Criteria Decision Making (MCDM) Approach

Abstract

Due to the increasing use of storage as one of the effective methods for peak demand management and increasing the reliability of the electricity network, prioritizing the use of storage is necessary. The purpose of this study was to conduct a multi-criteria decision making (MCDM) approach to prioritize selected sub-distributive substations of Tehran for peak shaving, curve leveling, and economic criteria using battery storage. Also, the Shannon entropy weighting method and SAW implementation method were implemented. After prioritizing the posts and identifying the 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. 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”, “AZARBAIJAN”, “ABOUZAR”, “SINA”, “DEPO”, and “YAKHCHI-ABAD”. The results show that the maximum installed storage capacity calculated for the priority post (i.e. DEPO) is 119.66 MWh and the maximum storage capacity is 18 MW. The most suitable storage size for installing is 120 MWh. Using the storage at the selected post will delay the development of the post for 7 years and the economic benefit is 40% of the investment cost.

Keywords

• energy pricing
• gasoline
• sustainable development
• delphi method
• analytical hierarchy process