AUTHOR=Yucheng Ren , Li Huang , Xiaodong Cao , Yixuan Huang , Yanan Zhang 

TITLE=A study of home energy management considering carbon quota

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 12 - 2024

YEAR=2024

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2024.1356704

DOI=10.3389/fenrg.2024.1356704

ISSN=2296-598X

ABSTRACT=The household energy management system (HEMS) has become an important way of energy conservation and emission reduction. In this study, a home energy management considering carbon quota has been established. Firstly, the household photovoltaic output model, load model of various electrical appliances, battery load model, charging and discharging of the electric vehicle (EV) model are established. Secondly, the carbon emission, carbon quota of household appliances and EV are considered in these models. Thirdly, the energy optimization model of minimum the household user's total comprehensive operation cost with total electricity consumption, carbon trading cost, the battery degradation cost and carbon quota income are proposed, taking into account constraints such as the comfort of users' energy use time. Subsequently, the improved particle swarm optimization (IPSO) algorithm is used to tackle the problem. Compared to the standard particle swarm optimization (PSO), the IPSO has significantly improved the optimization effect. By comparing the optimization results in different scenarios, the effectiveness of the strategy is verified, and the influence of different carbon trading prices on energy optimal scheduling has been analyzed. The result shows that the comprehensive consideration of carbon trading cost and total electricity cost can reduce the household carbon emissions and the total electricity cost of the household user. By the increasing of carbon trading price, the user's carbon trading income and the EV carbon quota income are increasing, and the overall operating cost is decreasing, the guidance and regulation of carbon trading price can make a valuable contribution in the HEMS optimization. Compared to the original situation, the house-hold carbon emissions have reduced by 14.58 kg, a decrease is over 21.47%, while the total comprehensive operation cost has reduced by 14.12%. Carbon quota trading can guide household users to use electricity reasonably, reduce household carbon emissions and the total cost of household electricity.