Capturing aggregate flexibility in Demand Response

Mahnoosh Alizadeh; Anna Scaglione; Andrea Goldsmith; George Kesidis

doi:10.1109/CDC.2014.7040399

Capturing aggregate flexibility in Demand Response

Mahnoosh Alizadeh, Anna Scaglione, Andrea Goldsmith, George Kesidis

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

Flexibility in electric power consumption can be leveraged by Demand Response (DR) programs. The goal of this paper is to systematically capture the inherent aggregate flexibility of a population of heterogenous small appliances in a reduced-order fashion. We do so by clustering individual loads based on their characteristics and service constraints. We highlight the challenges associated with learning the customer response to economic incentives while applying demand side management to heterogeneous appliances. We also develop a framework to quantify customer privacy in cluster-based direct load scheduling programs.

Original language	English (US)
Article number	7040399
Pages (from-to)	6439-6445
Number of pages	7
Journal	Unknown Journal
Volume	2015-February
Issue number	February
DOIs	https://doi.org/10.1109/CDC.2014.7040399
State	Published - 2014
Externally published	Yes

ASJC Scopus subject areas

Control and Systems Engineering
Modeling and Simulation
Control and Optimization

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Capturing aggregate flexibility in Demand Response

Abstract

ASJC Scopus subject areas

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