Hierarchical energy management scheme for residential communities under grid outage event

Fangfei Zhang, Fengji Luo, Zhaoyang Dong, Yanli Liu*, Gianluca Ranzi

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

19 Downloads (CityUHK Scholars)

Abstract

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.
Original languageEnglish
Pages (from-to)174-181
JournalIET Smart Grid
Volume3
Issue number2
Online published6 Apr 2020
DOIs
Publication statusPublished - Apr 2020
Externally publishedYes

Publisher's Copyright Statement

  • This full text is made available under CC-BY 3.0. https://creativecommons.org/licenses/by/3.0/

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