Residential Load Modeling of Price Based Demand Response for Network Impact Studies
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|Title:||Residential Load Modeling of Price Based Demand Response for Network Impact Studies||Authors:||McKenna, Killian; Keane, Andrew||Permanent link:||http://hdl.handle.net/10197/7431||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 response; Distribution networks; Dynamic pricing; Load modelling; Residential load sector; Smart grids||DOI:||10.1109/TSG.2015.2437451||Language:||en||Status of Item:||Peer reviewed|
|Appears in Collections:||ERC Research Collection|
Electrical and Electronic Engineering Research Collection
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