Robust hydrothermal unit commitment: A mixed-integer linear framework

The paper presents the info-gap theory for the sake of developing a robust framework for short-term hydrothermal scheduling to tackle severe load uncertainty. Deploying this method, the system operator is provided with a robust decision-making strategy to guarantee the minimum cost under load variat...

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Bibliographic Details
Published in:Energy (Oxford) Vol. 165; pp. 593 - 602
Main Authors: Razavi, Seyed-Ehsan, Esmaeel Nezhad, Ali, Mavalizadeh, Hani, Raeisi, Fatima, Ahmadi, Abdollah
Format: Journal Article
Language:English
Published: Oxford Elsevier Ltd 15.12.2018
Elsevier BV
Subjects:
case studies
Decision making
Energy efficiency
Hydroelectric power
Hydrothermal scheduling
Information gap decision theory
Minimum cost
Mixed integer linear programming
Robustness
Scheduling
Uncertain load demand
uncertainty
Unit commitment
Variation
Uncertain load demand
Information gap decision theory
Mixed integer linear programming
Hydrothermal scheduling
Unit commitment
ISSN:0360-5442, 1873-6785
Online Access:Get full text
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Summary:The paper presents the info-gap theory for the sake of developing a robust framework for short-term hydrothermal scheduling to tackle severe load uncertainty. Deploying this method, the system operator is provided with a robust decision-making strategy to guarantee the minimum cost under load variation condition while practical and technical limitations such as dynamic ramp rate are taken into consideration. For this purpose, the proposed Unit Commitment (UC) problem considering all above advantages would be modeled in a linear framework, which is in turn taken into account as another outstanding feature of this study as it is compatible to apply to real-world systems. In order to investigate the model efficiency, the modified version of the IEEE 118-bus test system having 54 thermal beside 8 hydro plants is chosen as the case study. Eventually, the results demonstrate how demand fluctuations and errors in the predicted load can be tolerated by allocating additional robust cost. •Daily hydrothermal unit commitment considering practical limitations.•Presenting a risk-constrained scheme to deal with severe load variations.•Proposing a Mixed Integer Linear Programming (MILP) framework for the problem.•Proposing a robust decision-making strategy taking advantage of IGDT approach.
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ISSN:0360-5442
1873-6785
DOI:10.1016/j.energy.2018.09.199