Residential Load Modeling of Price Based Demand Response for Network Impact Studies

Title: Residential Load Modeling of Price Based Demand Response for Network Impact Studies
Authors: McKenna, KillianKeane, Andrew
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Date: 10-Jun-2015
Online since: 2016-02-03T17:01:18Z
Abstract: This paper presents a comprehensive low-voltage residential load model of price based demand response. High-resolution load models are developed by combing Monte CarloMarkov Chain bottom-up demand models, hot water demand models, discrete state space representation of thermal appliances and composite time-variant electrical load models. Price based demand response is then modeled through control algorithms for thermostatically controlled loads, optimal scheduling of wet appliances and price elasticity matrices for representing the inherent elastic response of the consumer. The developed model is used in a case study to examine the potential distribution network impacts of the introduction of dynamic pricing schemes. The effects of cold load pick-up, rebound peaks, decrease in electrical and demand diversity and impacts on loading and voltage are presented.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: IEEE
Journal: IEEE Transactions on Smart Grid
Volume: 7
Issue: 5
Start page: 2285
End page: 2294
Copyright (published version): 2015 IEEE
Keywords: Demand responseDistribution networksDynamic pricingLoad modellingResidential load sectorSmart grids
DOI: 10.1109/TSG.2015.2437451
Language: en
Status of Item: Peer reviewed
This item is made available under a Creative Commons License:
Appears in Collections:ERC Research Collection
Electrical and Electronic Engineering Research Collection

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