ACOPF Transmission Switching Using Open-Source MINLP Solvers

Pranav Jain; Peixuan Zhang; Devon Sigler; Bernard Knueven

doi:10.1109/PESGM51994.2024.10689099

ACOPF Transmission Switching Using Open-Source MINLP Solvers

Pranav Jain, Peixuan Zhang, Devon Sigler, Bernard Knueven

Computational Science

Pennsylvania State University

Research output: Contribution to conference › Paper

Abstract

The optimal transmission switching (OTS) problem with AC physics represents a mixed integer non-linear non-convex optimization problem which can provide benefits to transmission level power system operations. In this paper we benchmark a set of open-source mixed integer non-linear programming (MINLP) solvers on the OTS problem with AC physics using the pglib set of power system test cases. Results characterizing the performance of the different solvers are reported and discussed.

Original language	American English
Number of pages	5
DOIs	https://doi.org/10.1109/PESGM51994.2024.10689099
State	Published - 2024
Event	IEEE PESGM - Seatle Duration: 21 Jul 2024 → 25 Jul 2024

Conference

Conference	IEEE PESGM
City	Seatle
Period	21/07/24 → 25/07/24

NREL Publication Number

NREL/CP-2C00-88074

Keywords

ACOPF
MINLP
transmission switching

Access to Document

10.1109/PESGM51994.2024.10689099

Cite this

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title = "ACOPF Transmission Switching Using Open-Source MINLP Solvers",

abstract = "The optimal transmission switching (OTS) problem with AC physics represents a mixed integer non-linear non-convex optimization problem which can provide benefits to transmission level power system operations. In this paper we benchmark a set of open-source mixed integer non-linear programming (MINLP) solvers on the OTS problem with AC physics using the pglib set of power system test cases. Results characterizing the performance of the different solvers are reported and discussed.",

keywords = "ACOPF, MINLP, transmission switching",

author = "Pranav Jain and Peixuan Zhang and Devon Sigler and Bernard Knueven",

year = "2024",

doi = "10.1109/PESGM51994.2024.10689099",

language = "American English",

note = "IEEE PESGM ; Conference date: 21-07-2024 Through 25-07-2024",

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TY - CONF

T1 - ACOPF Transmission Switching Using Open-Source MINLP Solvers

AU - Jain, Pranav

AU - Zhang, Peixuan

AU - Sigler, Devon

AU - Knueven, Bernard

PY - 2024

Y1 - 2024

N2 - The optimal transmission switching (OTS) problem with AC physics represents a mixed integer non-linear non-convex optimization problem which can provide benefits to transmission level power system operations. In this paper we benchmark a set of open-source mixed integer non-linear programming (MINLP) solvers on the OTS problem with AC physics using the pglib set of power system test cases. Results characterizing the performance of the different solvers are reported and discussed.

AB - The optimal transmission switching (OTS) problem with AC physics represents a mixed integer non-linear non-convex optimization problem which can provide benefits to transmission level power system operations. In this paper we benchmark a set of open-source mixed integer non-linear programming (MINLP) solvers on the OTS problem with AC physics using the pglib set of power system test cases. Results characterizing the performance of the different solvers are reported and discussed.

KW - ACOPF

KW - MINLP

KW - transmission switching

U2 - 10.1109/PESGM51994.2024.10689099

DO - 10.1109/PESGM51994.2024.10689099

M3 - Paper

T2 - IEEE PESGM

Y2 - 21 July 2024 through 25 July 2024

ER -

ACOPF Transmission Switching Using Open-Source MINLP Solvers

Abstract

Conference

NREL Publication Number

Keywords

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Cite this