Optimising Load Flexibility for the Day Ahead in Distribution Networks with Photovoltaics

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Title: Optimising Load Flexibility for the Day Ahead in Distribution Networks with Photovoltaics
Authors: Velasco, Jose AngelRigoni, ValentinSoroudi, AlirezaKeane, AndrewAmaris, Hortensia
Permanent link: http://hdl.handle.net/10197/11173
Date: 27-Jun-2019
Online since: 2019-10-25T10:45:00Z
Abstract: In this paper a methodology is proposed to calculate the load demand flexibility that could be activated within the next 24-hours for solving the technical impacts of contingencies that may come up in an unbalanced low voltage distribution networks with high penetration of intermittent DG sources. The methodology is formulated within a Demand Response program environment via load shifting as flexibility enabler mechanism. To achieve that, a non-linear optimisation problem is formulated based on an unbalanced optimal power flow, which allows the determination of the load flexibility that each Demand Response customer could provide at the request of the Distribution System Operator. The demand as well as weather conditions are forecasted for the day ahead. The optimisation problem is solved in a sequence fashion, within a daily framework, splitting the whole problem in optimisation blocks. In each block, the flexible load demand is obtained and the load demand forecasting its updated for the upcoming blocks based on the changes in the scheduled load demand. The methodology is applied to a real distribution network with the load data received from the smart metering infrastructure. The results obtained show the strength of the methodology in solving the technical problems of the network under high unbalanced operation.
Funding Details: Science Foundation Ireland
metadata.dc.description.othersponsorship: Spanish Ministry of Economy and Competiveness
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2019 IEEE
Keywords: Load modelingReactive powerOptimizationForecastingLoad managementPredictive modelsPower cables
DOI: 10.1109/ptc.2019.8810963
Other versions: https://attend.ieee.org/powertech-2019/
Language: en
Status of Item: Peer reviewed
Conference Details: The 13th IEEE PowerTech (POWERTech 2019), Milan, Italy, 24-27 June 2019
Appears in Collections:Electrical and Electronic Engineering Research Collection

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