Hierarchical Energy Management System for Home Microgrids
Access status:
Open Access
Type
ArticleAbstract
With the spread of distributed energy resources, sensing infra-structure, and automation facilities, modern homes are becoming “home microgrids”. This paper intends to support this trend and proposes a two-stage hierarchical energy management system for smart homes by considering ...
See moreWith the spread of distributed energy resources, sensing infra-structure, and automation facilities, modern homes are becoming “home microgrids”. This paper intends to support this trend and proposes a two-stage hierarchical energy management system for smart homes by considering both day-ahead and actual operation stages. In the day-ahead stage, an efficient scenario analysis ap-proach is developed to account for the residential photovoltaic solar power uncertainty. The approach performs solar power scenario generation and reduction based on the Wasserstein dis-tance metric and K-medoids, respectively. This is then followed by the use of a stochastic day-ahead residential energy resource scheduling model. In the actual operation stage, a Semi-Scenario based Rolling Horizon Optimization (SSRHO) mechanism is proposed, based on which an actual operation model is estab-lished. Simulations are then conducted to validate the effective-ness of the proposed system
See less
See moreWith the spread of distributed energy resources, sensing infra-structure, and automation facilities, modern homes are becoming “home microgrids”. This paper intends to support this trend and proposes a two-stage hierarchical energy management system for smart homes by considering both day-ahead and actual operation stages. In the day-ahead stage, an efficient scenario analysis ap-proach is developed to account for the residential photovoltaic solar power uncertainty. The approach performs solar power scenario generation and reduction based on the Wasserstein dis-tance metric and K-medoids, respectively. This is then followed by the use of a stochastic day-ahead residential energy resource scheduling model. In the actual operation stage, a Semi-Scenario based Rolling Horizon Optimization (SSRHO) mechanism is proposed, based on which an actual operation model is estab-lished. Simulations are then conducted to validate the effective-ness of the proposed system
See less
Date
2018-11-30Publisher
IEEE Transactions on Smart GridCitation
F. Luo, G. Ranzi, S. Wang and Z. Y. Dong, "Hierarchical Energy Management System for Home Microgrids," in IEEE Transactions on Smart Grid, vol. 10, no. 5, pp. 5536-5546, Sept. 2019. doi: 10.1109/TSG.2018.2884323Share