Strategic Scheduling in Smart Grids

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Title: Strategic Scheduling in Smart Grids
Authors: Nouri, Alireza
Soroudi, Alireza
Keane, Andrew
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Date: 15-Jun-2018
Online since: 2019-04-24T11:36:02Z
Abstract: With a shorter scheduling horizon, it is easier to handle the system uncertainties in distribution scheduling problem. On the other hand, due to higher cost of some control actions, e.g., tap changing operations, with a short horizon, these high cost control actions may never be justified, even though they could be necessary in the future. With a longer scheduling horizon, the operator have a wider choice and can schedule the tap changing operations to further reduce the total system cost. A multi-period scheduling scheme is proposed in this paper for cost minimization. Different scenarios are generated to model the uncertainties associated with renewable resources, upstream system and system loads. The number of scenarios is then reduced to moderate the computational burden. In the first period, the decision variables should be the same for all scenarios. Only the decisions made for the first period will be applied. For the next periods, this framework should be applied again. In this way, a long scheduling horizon is modeled, the available and forecast data are considered and future decisions are to be made when more accurate data are available. The effectiveness of the method is shown through the case studies.
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2018 IEEE
Keywords: Ant lion optimizerOn-load tap changerSchedulingSmart gridsUncertainties
DOI: 10.1109/EEEIC.2018.8494489
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Language: en
Status of Item: Not peer reviewed
Is part of: 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
Conference Details: The 2nd Industrial and Commerical Power System Europe and the 18th International Conference on Environment and Electrical Engineering (EEEIC), Palermo, Italy, 12-15 June 2018
ISBN: 978-1-5386-5186-5
Appears in Collections:Electrical and Electronic Engineering Research Collection

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