In order to address the shortcomings of the traditional power grid, the concept of a home energy management system has been proposed and studied to achieve the goals of improving electricity consumption efficiency, energy conservation, and emission reduction. This paper aims to explore low-carbon multi-scenario home energy management and control strategies, construct a photovoltaic energy storage system using Simulink, integrate it with the constructed home load and grid, and realize low-carbon control of home energy. It also investigates energy management and control by simulating power supply variations with changing home loads and assesses the feasibility of this system. The system considers solar photovoltaic (PV) and battery new energy as primary inputs and develops a maximum power point tracking (MPPT) algorithm for PV energy to ensure maximum PV system efficiency. Electrical load scheduling algorithms are designed to optimize energy utilization while ensuring power supply and reducing energy consumption. Energy storage battery systems are considered to balance energy supply and demand, with lithium-ion batteries selected to optimize system energy storage efficiency. An intelligent energy management and control strategy is developed to build a low-carbon multi-scenario home energy management and control system in an intelligent power network environment, considering factors such as PV energy, battery status, and electrical load demand.

Tong An. Simulation Research of Low-Carbon Multi-Scenario Home Energy Management System in Smart Grid Environment. International Journal of Frontiers in Engineering Technology (2024), Vol. 6, Issue 3: 9-17. https://doi.org/10.25236/IJFET.2024.060302.

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