Decentralized Demand Side Management with Rooftop PV in Residential Distribution Network

TL;DR

This paper presents a decentralized demand side management framework for residential networks with smart homes and rooftop PV, optimizing energy costs and analyzing impacts on network performance and renewable integration.

Contribution

It introduces a novel decentralized household DSM model incorporating rooftop PV and appliance scheduling based on price forecasts and user preferences.

Findings

Improved rooftop PV utilization efficiency.

Reduced voltage deviations and power losses.

Insights into reverse power flows in residential networks.

Abstract

In the past extensive researches have been conducted on demand side management (DSM) program which aims at reducing peak loads and saving electricity cost. In this paper, we propose a framework to study decentralized household demand side management in a residential distribution network which consists of multiple smart homes with schedulable electrical appliances and some rooftop photovoltaic generation units. Each smart home makes individual appliance scheduling to optimize the electric energy cost according to the day-ahead forecast of electricity prices and its willingness for convenience sacrifice. Using the developed simulation model, we examine the performance of decentralized household DSM and study their impacts on the distribution network operation and renewable integration, in terms of utilization efficiency of rooftop PV generation, overall voltage deviation, real power loss, and possible reverse power flows.