An Efficient Homotopy Method for Solving the Post-Contingency Optimal Power Flow to Global Optimality

Optimal power flow (OPF) is a fundamental problem in power systems analysis for determining the steady-state operating point of a power network that minimizes the generation cost. In anticipation of component failures, such as transmission line or generator outages, it is also important to find opti...

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Main Authors: Sangwoo Park, Elizabeth Glista, Javad Lavaei, Somayeh Sojoudi
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9966487/
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author Sangwoo Park
Elizabeth Glista
Javad Lavaei
Somayeh Sojoudi
author_facet Sangwoo Park
Elizabeth Glista
Javad Lavaei
Somayeh Sojoudi
author_sort Sangwoo Park
collection DOAJ
description Optimal power flow (OPF) is a fundamental problem in power systems analysis for determining the steady-state operating point of a power network that minimizes the generation cost. In anticipation of component failures, such as transmission line or generator outages, it is also important to find optimal corrective actions for the power flow distribution over the network. The problem of finding these post-contingency solutions to the OPF problem is challenging due to the nonconvexity of the power flow equations and the large number of contingency cases in practice. In this paper, we introduce a homotopy method to solve for the post-contingency actions, which involves a series of intermediate optimization problems that gradually transform the original OPF problem into each contingency-OPF problem. We show that given a global solution to the original OPF problem, a global solution to the contingency problem can be obtained using this homotopy method, under some conditions. With simulations on Polish and other European networks, we demonstrate that the effectiveness of the proposed homotopy method is dependent on the choice of the homotopy path and that homotopy yields an improved solution in many cases. For at least 5% of the test cases, bad local minima were identified, and the homotopy method yielded a solution that was significantly better than state-of-the-art interior point methods in terms of reducing the violation cost during a catastrophic contingency scenario.
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spelling doaj.art-68d650706897410881dac2f30eeebca12022-12-22T04:21:49ZengIEEEIEEE Access2169-35362022-01-011012496012497810.1109/ACCESS.2022.32241629966487An Efficient Homotopy Method for Solving the Post-Contingency Optimal Power Flow to Global OptimalitySangwoo Park0https://orcid.org/0000-0002-0355-7272Elizabeth Glista1https://orcid.org/0000-0003-2870-3659Javad Lavaei2https://orcid.org/0000-0003-4294-1338Somayeh Sojoudi3https://orcid.org/0000-0001-7177-7712Department of Industrial Engineering and Operations Research, University of California Berkeley, Berkeley, CA, USADepartment of Mechanical Engineering, University of California Berkeley, Berkeley, CA, USADepartment of Industrial Engineering and Operations Research, University of California Berkeley, Berkeley, CA, USADepartment of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, CA, USAOptimal power flow (OPF) is a fundamental problem in power systems analysis for determining the steady-state operating point of a power network that minimizes the generation cost. In anticipation of component failures, such as transmission line or generator outages, it is also important to find optimal corrective actions for the power flow distribution over the network. The problem of finding these post-contingency solutions to the OPF problem is challenging due to the nonconvexity of the power flow equations and the large number of contingency cases in practice. In this paper, we introduce a homotopy method to solve for the post-contingency actions, which involves a series of intermediate optimization problems that gradually transform the original OPF problem into each contingency-OPF problem. We show that given a global solution to the original OPF problem, a global solution to the contingency problem can be obtained using this homotopy method, under some conditions. With simulations on Polish and other European networks, we demonstrate that the effectiveness of the proposed homotopy method is dependent on the choice of the homotopy path and that homotopy yields an improved solution in many cases. For at least 5% of the test cases, bad local minima were identified, and the homotopy method yielded a solution that was significantly better than state-of-the-art interior point methods in terms of reducing the violation cost during a catastrophic contingency scenario.https://ieeexplore.ieee.org/document/9966487/Power systemsoptimal power flownonconvex optimizationcontingency analysis
spellingShingle Sangwoo Park
Elizabeth Glista
Javad Lavaei
Somayeh Sojoudi
An Efficient Homotopy Method for Solving the Post-Contingency Optimal Power Flow to Global Optimality
IEEE Access
Power systems
optimal power flow
nonconvex optimization
contingency analysis
title An Efficient Homotopy Method for Solving the Post-Contingency Optimal Power Flow to Global Optimality
title_full An Efficient Homotopy Method for Solving the Post-Contingency Optimal Power Flow to Global Optimality
title_fullStr An Efficient Homotopy Method for Solving the Post-Contingency Optimal Power Flow to Global Optimality
title_full_unstemmed An Efficient Homotopy Method for Solving the Post-Contingency Optimal Power Flow to Global Optimality
title_short An Efficient Homotopy Method for Solving the Post-Contingency Optimal Power Flow to Global Optimality
title_sort efficient homotopy method for solving the post contingency optimal power flow to global optimality
topic Power systems
optimal power flow
nonconvex optimization
contingency analysis
url https://ieeexplore.ieee.org/document/9966487/
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