NDLI: Demand response for aggregated residential consumers with energy storage sharing

Content Provider	IEEE Xplore Digital Library
Author	Paridari, Kaveh Parisio, Alessandra Sandberg, Henrik Johansson, Karl Henrik
Copyright Year	2015
Description	Author affiliation: ACCESS Linnaeus Center and the Automatic Control Lab, School of Electrical Engineering, KTH Royal Institute of Technology, Sweden (Paridari, Kaveh; Parisio, Alessandra; Sandberg, Henrik; Johansson, Karl Henrik)
Abstract	A novel distributed algorithm is proposed in this paper for a network of consumers coupled by energy resource sharing constraints, which aims at minimizing the aggregated electricity costs. Each consumers is equipped with an energy management system that schedules the shiftable loads accounting for user preferences, while an aggregator entity coordinates the consumers demand and manages the interaction with the grid and the shared energy storage system (ESS) via a distributed strategy. The proposed distributed coordination algorithm requires the computation of Mixed Integer Linear Programs (MILPs) at each iteration. The proposed approach guarantees constraints satisfaction, cooperation among consumers, and fairness in the use of the shared resources among consumers. The strategy requires limited message exchange between each consumer and the aggregator, and no messaging among the consumers, which protects consumers privacy. Performance of the proposed distributed algorithm in comparison with a centralized one is illustrated using numerical experiments.
Starting Page	2024
Ending Page	2030
File Size	618349
Page Count	7
File Format	PDF
e-ISBN	9781479978861
DOI	10.1109/CDC.2015.7402504
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-15
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Home appliances Distributed algorithms Load management Energy states Scheduling algorithms Energy storage distributed scheduling algorithms Demand response mixed integer linear programming
Content Type	Text
Resource Type	Article

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