
Hierarchical energy management scheme for residential communities under grid outage event
Author(s) -
Zhang Fangfei,
Luo Fengji,
Dong Zhaoyang,
Liu Yanli,
Ranzi Gianluca
Publication year - 2020
Publication title -
iet smart grid
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.612
H-Index - 11
ISSN - 2515-2947
DOI - 10.1049/iet-stg.2019.0150
Subject(s) - scheme (mathematics) , event (particle physics) , grid , energy (signal processing) , computer science , event management , environmental science , environmental resource management , distributed computing , geography , mathematics , statistics , physics , knowledge management , mathematical analysis , geodesy , quantum mechanics , critical success factor
The ever‐increasing energy demand and extreme weather days lead to more frequent power outage events. This paper proposes a hierarchical energy management scheme for residential communities, aiming to facilitate energy sharing among houses and minimize the impact on the grid outage on the whole community. In the proposed model, the complexity of scheduling residential energy resources of multiple houses is decomposed into a bi‐level structure, in which the Home Energy Management System (HEMS) of each house iteratively interacts with the Community Energy Management System (CEMS). In the upper layer, the CEMS receives the information of the planned outage; it then solves a social warfare optimization model to determine: (1) charging/discharging power of a community battery energy storage system, and (2) load re‐shaping instructions of each house. In the lower layer, the HEMS of each house performs appliance‐level autonomous scheduling to try to satisfy the load re‐shaping instructions received from the CEMS. The autonomous scheduling result of individual HEMSs are sent back to the CEMS, and the latter updates the upper‐layer result based on the received result. This process continues until the convergence criteria is achieved. Extensive simulations are conducted to validate the proposed solution