Optimized energy utilization in small and large commercial loads and residential areas

TL;DR

This paper presents a framework for demand side management in smart grids, optimizing energy use in residential and commercial loads, analyzing impacts on network performance, and addressing issues like voltage deviation and reverse power flows.

Contribution

It introduces a comprehensive simulation model for DSM that considers renewable generation, appliance scheduling, and network impacts in mixed residential and commercial areas.

Findings

DSM improves energy cost efficiency and load balancing.

High commercial loads can cause voltage issues and reverse power flows.

Renewable integration affects voltage and power loss patterns.

Abstract

In smart grid, the demand side management (DSM) techniques need to be designed to process a large number of controllable loads of several types. In this paper, we proposed a framework to study the demand side management in smart grid which contains a variety of loads in two service areas, one with multiple residential households, and one bus with commercial customers. Specifically, each household may have renewable generation as well as interruptible and uninterruptible appliances to make individual scheduling to optimize the electric energy cost by making the best time of the electricity usage according to the day ahead forecast of electricity prices. A high load bus represents a commercial area employed to demonstrate the impact of high load at any bus on voltage profile, power loss, and load flow condition, and to show the performance of the proposed DSM for large number of appliance. Using the developed simulation model, we examine the performance of the proposed DSM and study their impact on the distribution network operation and renewable generation, overall voltage deviation, real power loss, and possible problems such as reverse power flows, voltage rise have examined and compared, these problems can easily be seen at the commercial load bus.