Demand Side Management Using Battery Energy Storage System for a Sample Residential Load of Pakistan

Abstract

This research is a step towards the sustainable energy development through the mitigation of the electrical energy crisis using the batteries for not only solving the intermittence but also for demand side management., mostly faced when the energy demand reaches the peak value. An algorithm is presented for the optimal usage of energy by demand side management (DSM) through peak shaving using battery energy storage system (BESS) in the residential areas for developing countries like Pakistan. The data set used is the PRECON data set based on the original demand data collected of 42 houses of Lahore, Pakistan for years 2018-2019. The load profiles for the individual and group of houses are used and analyzed. Daily, monthly and annual load factors are calculated for the groups of houses based on the stochastic data based on realistic data. Daily load factors are improved through demand side management technique such as peak shaving at individual and municipal level. Loads are categorized from the given load profiles into base load, peak load and mid-range load. The cost advantage related to the type of the battery is also considered. Research concludes to the advantages of peak shaving, load factor improvement, load profile improvement and possibility of providing optimal and reliable energy with reasonable energy prices.

Keywords

• Residential load profile, load factor, battery energy storage system, peak shaving, valley filling, demand side management