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Conference paper

Convex Relaxations of Security Constrained AC Optimal Power Flow under Uncertainty

In Proceedings of 20th Power Systems Computation Conference — 2018, pp. 1-7
From

Department of Electrical Engineering, Technical University of Denmark1

Center for Electric Power and Energy, Centers, Technical University of Denmark2

Energy Analytics and Markets, Center for Electric Power and Energy, Centers, Technical University of Denmark3

System operators have to ensure an N-1 secure operation, while dealing with higher degrees of uncertainty. This paper proposes a semidefinite relaxation of the chance and security constrained optimal power flow (SCOPF). Our main contributions are the introduction of systematic methods to obtain zero relaxation gap, providing a tractable chance constrained SCOPF formulation, and addressing scalability.

We introduce a systematic procedure to obtain zero relaxation gap using a penalty term on power losses. To achieve tractability of the joint chance constraint, a piecewise affine approximation, and a combination of randomized and robust optimization is used. To address scalability, we propose an iterative solution algorithm to identify binding constraints, and we apply a chordal decomposition of the semidefinite constraints.

We demonstrate the performance of our approach on IEEE 24 and IEEE 118 bus system using realistic day-ahead forecast data and obtain tight near-global optimality guarantees.

Language: English
Publisher: IEEE
Year: 2018
Pages: 1-7
Proceedings: 20th Power Systems Computation Conference
ISBN: 1538615835 , 1910963097 , 1910963100 , 9781538615836 , 9781910963098 and 9781910963104
Types: Conference paper
DOI: 10.23919/PSCC.2018.8442940
ORCIDs: Venzke, Andreas and Chatzivasileiadis, Spyros

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