Energy optimization of the smart residential electrical grid considering demand management approaches

• Published in: Energy (Oxford) 2024-08, Vol.300, p.131641, Article 131641
• Main Authors: Zhang, Jianrui, Wu, Jingqun, Fu, Linjun, Wu, Qiwei, Huang, Yubo, Qiu, Wenying, Ali, A. Majid
• Format: Article
• Language: English
• Subjects: Load interruption; Load shifting approach; Multiple-criteria problem; Optimal demand management; Smart residential homes
• ISSN: 0360-5442
• DOI: 10.1016/j.energy.2024.131641

-Many researchers have investigated the optimal energy scheduling to meet the demand regarding sustainable development issues and the economic and technical indices. This study presents the day-ahead operation of a smart residential distribution electrical grid as a bi-stage-multiple-criteria decision-making modeling. The proposed energy optimization is implemented based on optimal demand management in upper-stage and multiple-criteria decision-making in lower-stage. The multiple-criteria problem is modeled from the viewpoint of the grid's operator to optimize energy consumption costs, power losses and demand side comfort. The optimal demand management in upper-stage is coordinated considering price traffic in the upstream grid. The load shifting approach and load interruption approach are presented as optimal demand management for residential consumers. The operation of demand management by using load shifting and load interruption approaches is done via deferrable loads and clippable loads in smart residential homes, respectively. The proposed energy optimization in both stages by improved sunflower optimization (IFSO) is handled, and the TOPSIS method is proposed for the best trade-off of the multiple-criteria decision-making. The day-ahead energy operation is applied on the 33-bus distribution network to investigate the effectiveness of the residential distribution electrical grid considering obtained results from mathematical modeling and demand management approaches. •A bi-stage-multiple-criteria decision-making modeling for energy consumption costs, power losses, and demand side comfort in smart residential distribution electrical grid is proposed.•The load-shifting and load-interruption approaches are proposed to demand-side optimization considering price traffics.•The IFSO algorithm and the TOPSIS approach for the multiple-criteria decision-making process are proposed for solving problem.