An application of high performance computing to transmission switching

Papavasiliou, Anthony; Oren, Shmuel S.; Zhu, Yiming; Balasubramanian, Pranav; Hedman, Kory W.

doi:10.1109/irep.2013.6629392

Cited by 19 publications

(15 citation statements)

References 9 publications

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“…Papavasiliou [2], as well. Tony, have you considered the implications of transmission switching on nodal prices and on FTRs?…”

Section: Tasos Bakirtzis (Auth): I Have a Question For Tonymentioning

confidence: 97%

“…The question is again to Anthony [2]. I cannot really understand the natural issue behind the mathematics.…”

Section: Thanos Koronidis (Ipto)mentioning

confidence: 99%

“…Mansoldo: A follow up of your question which actually, the third paper [3] had some future work, maybe in that sense. But I want to translate it to the second paper, Anthony Papavasiliou's paper [2], because a similar issue may be found also switching off and on components in a grid that is in operation. And we are struggling a lot to understand the issue from the EMT point of view, in terms of grid assets that may have some potential resonances, especially when we have to install cables and we have to, probably in the future, deal with a lot of undergrounding and this makes the problem worse.…”

Section: E Thalassinakismentioning

confidence: 99%

“…Chair: I am going to allow Shmuel Oren, coauthor of [2], to step in for a moment. I think he has something to add.…”

Section: Tasos Bakirtzis (Auth): I Have a Question For Tonymentioning

confidence: 99%

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Oral discussions on Session: “Optimization and DSM” - Part I

Alvarado

2013

2013 IREP Symposium - Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid

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“…Papavasiliou [2], as well. Tony, have you considered the implications of transmission switching on nodal prices and on FTRs?…”

Section: Tasos Bakirtzis (Auth): I Have a Question For Tonymentioning

confidence: 97%

“…The question is again to Anthony [2]. I cannot really understand the natural issue behind the mathematics.…”

Section: Thanos Koronidis (Ipto)mentioning

confidence: 99%

Section: E Thalassinakismentioning

confidence: 99%

“…Chair: I am going to allow Shmuel Oren, coauthor of [2], to step in for a moment. I think he has something to add.…”

Section: Tasos Bakirtzis (Auth): I Have a Question For Tonymentioning

confidence: 99%

See 2 more Smart Citations

Oral discussions on Session: “Optimization and DSM” - Part I

Alvarado

2013

2013 IREP Symposium - Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid

View full text Add to dashboard Cite

show abstract

“…2.6); even more so with the AC model and a complete description of the generating units. The so-called UCOTS models (Fisher et al 2008;Di Lullo 2013;Hedman et al 2011a, b;Ruiz 2012;Bienstock and Verma 2011;Villumsen and Philpott 2011;Papavasiliou et al 2013b;O'Neill et al 2010;Liu et al 2012b, a;Korad and Hedman 2013;Hedman et al 2010Hedman et al , 2009Zhang and Wang 2014) extend UC: almost everything that can be said about UC is a fortiori valid for UCOTS, and therefore in the following we will not distinguish between the two unless strictly necessary.…”

Section: Optimal Transmission Switchingmentioning

confidence: 99%

Large-scale Unit Commitment under uncertainty

Ackooij²,

et al. 2015

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The Unit Commitment problem in energy management aims at finding the optimal productions schedule of a set of generation units while meeting various system-wide constraints. It has always been a large-scale, non-convex difficult problem, especially in view of the fact that operational requirements imply that it has to be solved in an unreasonably small time for its size. Recently, the ever increasing capacity for renewable generation has strongly increased the level of uncertainty in the system, making the (ideal) Unit Commitment model a large-scale, non-convex, uncertain (stochastic, robust, chance-constrained) program. We provide a survey of the literature on methods for the Uncertain Unit Commitment problem, in all its variants. We start with a review of the main contributions on solution methods for the deterministic versions of the problem, focusing on those based on mathematical programming techniques that are more relevant for the uncertain versions of the problem. We then present and categorize the approaches to the latter, also providing entry points to the relevant literature on optimization under uncertainty

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Mobilizing grid flexibility through optimal transmission switching for power systems with large‐scale renewable integration

Numan

Feng

Abbas

et al. 2019

Int Trans Electr Energ Syst

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Summary In order to cope with the challenge of reducing CO2 emissions concerning climate change, many countries are increasing their renewable energy sources (RES) shares in their power system networks. However, the existing transmission network is not planned to accommodate such a large‐scale integration of RES. Therefore, the need for new transmission topologies to better utilize the existing transmission infrastructure is more demanding to be practically implemented. In this paper, optimal transmission switching (OTS) is incorporated in a generic two‐stage stochastic unit commitment (SUC) problem with high penetration of wind power generation. The problem is modeled as a mixed integer programming problem (MIP). To reduce the computational complexity for solving the MIP, a warm‐start strategy is proposed to assist CPLEX in finding the optimal solution in a reasonable amount of time. Numerical tests are conducted on the modified IEEE 6‐bus and 118‐bus systems to validate the effectiveness of the optimization problem incorporating OTS in SUC problem. Using the standard IEEE 118‐bus system, an extensive economic and computational analysis is performed to characterize OTS effect on total system operating cost, sensitivity to variation in load, and transmission line congestion. Test results validate that system operating cost can be reduced up to 8% as compared with generic SUC problem without transmission switching.

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An application of high performance computing to transmission switching

Cited by 19 publications

References 9 publications

Oral discussions on Session: “Optimization and DSM” - Part I

Oral discussions on Session: “Optimization and DSM” - Part I

Large-scale Unit Commitment under uncertainty

Mobilizing grid flexibility through optimal transmission switching for power systems with large‐scale renewable integration

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An application of high performance computing to transmission switching

Cited by 19 publications

References 9 publications

Oral discussions on Session: &#x201C;Optimization and DSM&#x201D; - Part I

Oral discussions on Session: &#x201C;Optimization and DSM&#x201D; - Part I

Large-scale Unit Commitment under uncertainty

Mobilizing grid flexibility through optimal transmission switching for power systems with large‐scale renewable integration

Contact Info

Product

Resources

About

Oral discussions on Session: “Optimization and DSM” - Part I

Oral discussions on Session: “Optimization and DSM” - Part I