Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/642420
Title: Stochastic Co-Optimization of Midterm and Short-Term Maintenance Outage Scheduling Considering Covariates in Power Systems
Authors: Yifei Wang;Zhiyi Li;Mohammad Shahidehpour;Lei Wu;C. X. Guo;Bingquan Zhu
subject: maintenance outage scheduling|Monte Carlo simulation|proportional hazard model|security-constrained unit commitment|Covariates|severe weather
Year: 2016
Publisher: IEEE
Abstract: This paper proposes an integrated framework based on covariates, which coordinates short-term generation and transmission maintenance scheduling with midterm maintenance decisions by considering the effects of short-term security-constrained unit commitment (SCUC). A recursive sampling method is introduced in the proposed Monte Carlo-based framework for generating scenarios, in which the effects of component aging and covariates on the outage process are quantified by the proportional hazard model (PHM). For each sampled scenario, an iterative dynamic scenario updating approach is introduced to consider interactions among covariate conditions, random component outages, and maintenance outage scheduling. The co-optimization problem is decoupled into three separate optimization subproblems by Lagrangian relaxation (LR), which include generation maintenance scheduling, transmission maintenance scheduling, and short-term SCUC problems. Each scenario is dynamically updated based on the optimal maintenance outage and SCUC solutions, and maintenance and SCUC solutions are re-optimized using the updated scenario. The iterative procedure stops when neither the optimal schedule nor the dynamic scenario changes any further. The overall convergence of the proposed Monte Carlo-based framework is checked by the coefficient of variation (CV) of costs over multiple scenarios. Case studies on the 6-bus system and the IEEE 118-bus system are used to exhibit the effectiveness of proposed framework.
URI: http://localhost/handle/Hannan/184835
http://localhost/handle/Hannan/642420
ISSN: 0885-8950
1558-0679
volume: 31
issue: 6
Appears in Collections:2016

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Title: Stochastic Co-Optimization of Midterm and Short-Term Maintenance Outage Scheduling Considering Covariates in Power Systems
Authors: Yifei Wang;Zhiyi Li;Mohammad Shahidehpour;Lei Wu;C. X. Guo;Bingquan Zhu
subject: maintenance outage scheduling|Monte Carlo simulation|proportional hazard model|security-constrained unit commitment|Covariates|severe weather
Year: 2016
Publisher: IEEE
Abstract: This paper proposes an integrated framework based on covariates, which coordinates short-term generation and transmission maintenance scheduling with midterm maintenance decisions by considering the effects of short-term security-constrained unit commitment (SCUC). A recursive sampling method is introduced in the proposed Monte Carlo-based framework for generating scenarios, in which the effects of component aging and covariates on the outage process are quantified by the proportional hazard model (PHM). For each sampled scenario, an iterative dynamic scenario updating approach is introduced to consider interactions among covariate conditions, random component outages, and maintenance outage scheduling. The co-optimization problem is decoupled into three separate optimization subproblems by Lagrangian relaxation (LR), which include generation maintenance scheduling, transmission maintenance scheduling, and short-term SCUC problems. Each scenario is dynamically updated based on the optimal maintenance outage and SCUC solutions, and maintenance and SCUC solutions are re-optimized using the updated scenario. The iterative procedure stops when neither the optimal schedule nor the dynamic scenario changes any further. The overall convergence of the proposed Monte Carlo-based framework is checked by the coefficient of variation (CV) of costs over multiple scenarios. Case studies on the 6-bus system and the IEEE 118-bus system are used to exhibit the effectiveness of proposed framework.
URI: http://localhost/handle/Hannan/184835
http://localhost/handle/Hannan/642420
ISSN: 0885-8950
1558-0679
volume: 31
issue: 6
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7414527.pdf1.65 MBAdobe PDFThumbnail
Preview File
Title: Stochastic Co-Optimization of Midterm and Short-Term Maintenance Outage Scheduling Considering Covariates in Power Systems
Authors: Yifei Wang;Zhiyi Li;Mohammad Shahidehpour;Lei Wu;C. X. Guo;Bingquan Zhu
subject: maintenance outage scheduling|Monte Carlo simulation|proportional hazard model|security-constrained unit commitment|Covariates|severe weather
Year: 2016
Publisher: IEEE
Abstract: This paper proposes an integrated framework based on covariates, which coordinates short-term generation and transmission maintenance scheduling with midterm maintenance decisions by considering the effects of short-term security-constrained unit commitment (SCUC). A recursive sampling method is introduced in the proposed Monte Carlo-based framework for generating scenarios, in which the effects of component aging and covariates on the outage process are quantified by the proportional hazard model (PHM). For each sampled scenario, an iterative dynamic scenario updating approach is introduced to consider interactions among covariate conditions, random component outages, and maintenance outage scheduling. The co-optimization problem is decoupled into three separate optimization subproblems by Lagrangian relaxation (LR), which include generation maintenance scheduling, transmission maintenance scheduling, and short-term SCUC problems. Each scenario is dynamically updated based on the optimal maintenance outage and SCUC solutions, and maintenance and SCUC solutions are re-optimized using the updated scenario. The iterative procedure stops when neither the optimal schedule nor the dynamic scenario changes any further. The overall convergence of the proposed Monte Carlo-based framework is checked by the coefficient of variation (CV) of costs over multiple scenarios. Case studies on the 6-bus system and the IEEE 118-bus system are used to exhibit the effectiveness of proposed framework.
URI: http://localhost/handle/Hannan/184835
http://localhost/handle/Hannan/642420
ISSN: 0885-8950
1558-0679
volume: 31
issue: 6
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7414527.pdf1.65 MBAdobe PDFThumbnail
Preview File