Abstract

The electrical load is ever-increasing in the residential grid, there is a necessity to increase power generation to meet the demand (or) the centralized battery energy storage system can provide part of the generation. This paper describes the implementation of a centralized Solar Powered Battery Bank (SPBB) in residential apartments, which consists of solar panels and battery banks. To identify energy-saving recommendations, an energy audit is conducted using Fluke. As a result of performing quasi-dynamic load flow analysis in DIgSILENT for a realtime system with 64 residences and 47 inverter batteries, the study concludes that the centralized SPBB model reduces traditional grid power supply during peak periods. The proposed model's optimal sizing is determined using the Modified Particle Swarm Optimization technique. By using the SPBB model, the voltage stability of the fourth floor is improved from 0.8351 p.u. to 0.9566 p.u. In these models, daily energy consumption is reduced by up to 18%, with a minimum daily energy savings of 250 kWh, and total cost savings of 1491 rupees. Finally, an economic study is conducted to determine the proposed model's payback period, and comparing it with previous work shows that the proposed model is advantageous.

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