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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| Published in: | Energy (Oxford) Vol. 165; pp. 593 - 602 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Oxford
Elsevier Ltd
15.12.2018
Elsevier BV |
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| ISSN: | 0360-5442, 1873-6785 |
| Online Access: | Get full text |
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| Abstract | 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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| AbstractList | 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. 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. |
| Author | Esmaeel Nezhad, Ali Razavi, Seyed-Ehsan Ahmadi, Abdollah Mavalizadeh, Hani Raeisi, Fatima |
| Author_xml | – sequence: 1 givenname: Seyed-Ehsan surname: Razavi fullname: Razavi, Seyed-Ehsan organization: Department of Electrical and Computer Engineering, University of Birjand, Birjand, Iran – sequence: 2 givenname: Ali orcidid: 0000-0002-6522-4043 surname: Esmaeel Nezhad fullname: Esmaeel Nezhad, Ali email: Ali.esmaeelnezhad@gmail.com organization: Department of Electrical, Electronic, and Information Engineering, University of Bologna, Italy – sequence: 3 givenname: Hani surname: Mavalizadeh fullname: Mavalizadeh, Hani organization: Centre of Excellence for Power System Automation and Operation, School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran – sequence: 4 givenname: Fatima surname: Raeisi fullname: Raeisi, Fatima organization: Department of Management, Hormozgan University, Bandarabass, Iran – sequence: 5 givenname: Abdollah orcidid: 0000-0002-7067-8496 surname: Ahmadi fullname: Ahmadi, Abdollah organization: School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia |
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| Keywords | Uncertain load demand Information gap decision theory Mixed integer linear programming Hydrothermal scheduling Unit commitment |
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| SubjectTerms | 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 |
| Title | Robust hydrothermal unit commitment: A mixed-integer linear framework |
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