Design and optimization of smart grid using controllable loads

This article addresses the pressing issue of reducing heat energy and conserving energy resources by exploring new energy sources, specifically wind and photovoltaic electricity generation in distribution systems. The study highlights the expanding use of electric devices in apartment houses, particularly the adoption of DC smart homes. A key highlight is the development of a smart grid optimization method to tackle power fluctuations, a critical challenge in integrating renewable energy sources and loads into the power system. The paper proposes controllable distributed loads, like batteries and heating pumps, to balance energy production and demand, forming an efficient network with a solar collector and photovoltaic generator. A breakthrough is identifying the best performance for a group of DC smart houses in the network, paving the way for potential future advancements that benefit consumers. The concept of a smart network with controllable loads in smart homes is thoroughly investigated, offering valuable insights into its potential benefits. Simulation results validate the system’s effectiveness, providing high-quality electricity, cost reduction, and improved network stability while mitigating greenhouse gas effects, contributing to sustainability efforts. The study’s findings are reinforced by simulations using MATLAB, further validating the novel approach’s practical implications for real-world application.