Rigoni, ValentinValentinRigoniFlynn, DamianDamianFlynnKeane, AndrewAndrewKeane2024-06-042024-06-042020 IEEE2021-03IEEE Transactions on Power Systems0885-8950http://hdl.handle.net/10197/26129High shares of renewable energy resources are increasing the value of using demand response (DR) mechanisms to enhance the resiliency and efficiency of power system operation. In this context, residential DR is expected to become an increasingly important asset. In order to exploit this resource, DR aggregators are expected to combine the capabilities of a large group of householders and participate, as a single provider, in the electricity market. In doing so, it is imperative for aggregators to consider the operational constraints of the local network. Otherwise, the quality of the electricity service can be jeopardized and the true DR potential overestimated. This paper presents a novel methodology that integrates DR aggregators with distribution network operators for a secure and efficient scheduling and real-time operation of DR in residential radial feeders. The method is evaluated on a real unbalanced feeder where DR provision (from a mix of technologies) is coordinated with the network steady-state thermal and voltage limits. In this study, with the corresponding data seasonality and controllable devices, it is shown that complying with network operational constraints can impose, at certain times, a significant limit to the allocation of DR.en© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Demand aggregatorDemand responseDistributed energy resourcesOptimizationSystem flexibilityJournal Article36297999010.1109/tpwrs.2020.30141442021-01-2715/SPP/E312515/IA/305815/spp/e3125https://creativecommons.org/licenses/by-nc-nd/3.0/ie/