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Linear/quadratic programming-based optimal power flow using linear power flow and absolute loss approximations [PDF]
International Journal of Electrical Power & Energy Systems, 2019 This paper presents novel methods to approximate the nonlinear AC optimal power flow (OPF) into tractable linear/quadratic programming (LP/QP) based OPF problems that can be used for power system planning and operation. We derive a linear power flow approximation and consider a convex reformulation of the power losses in the form of absolute value ...
Fortenbacher, Philipp, Demiray, Turhan
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Linear Power Flow Calculation of Distribution Networks With Distributed Generation
IEEE Access, 2019 To address the shortcomings of the existing linear power flow calculation methods for distribution networks with low versatility and calculation accuracy, a linear power flow calculation method considering distributed generation (DG) is proposed ...
Kuan Liu +4 more
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Ensemble learning based linear power flow [PDF]
IEEE Power & Energy Society General Meeting, 2019 This paper develops an ensemble learning-based linearization approach for power flow, which differs from the network-parameter based direct current (DC) power flow or other extended versions of linearization. As a novel data-driven linearization through data mining, it firstly applies the polynomial regression (PR) as a basic learner to capture the ...
Hu, Ren, Li, QiFeng
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Data-driven Power Flow Method Based on Exact Linear Regression Equations
Journal of Modern Power Systems and Clean Energy, 2022 Power flow (PF) is one of the most important calculations in power systems. The widely-used PF methods are the Newton-Raphson PF (NRPF) method and the fast-decoupled PF (FDPF) method.
Yanbo Chen, Chao Wu, Junjian Qi
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Linear Power Flow Method Improved With Numerical Analysis Techniques Applied to a Very Large Network
Energies, 2019 In this paper, we propose a fast linear power flow method using a constant impedance load model to simulate both the entire Low Voltage (LV) and Medium Voltage (MV) networks in a single simulation.
Baljinnyam Sereeter +3 more
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Decoupled piecewise linear power flow and its application to under voltage load shedding
CSEE Journal of Power and Energy Systems, 2021 Various optimizations in power systems based on the AC power flow model are inherently mixed-integer nonlinear programming (MINLP) problems. Piecewise linear power flow models can handle nonlinearities and meanwhile ensure a high accuracy.
Mang Jiang +3 more
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Parameterized Linear Power Flow for High Fidelity Voltage Solutions in Distribution Systems [PDF]
IEEE Transactions on Power Systems, 2022 This paper introduces a new model for highly accurate distribution voltage solutions, coined as a parameterized linear power flow model. The proffered model is grounded on a physical model of linear power flow equations, and uses learning-aided ...
M. Marković, B. Hodge
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Numerical Comparisons of Linear Power Flow Approximations: Optimality, Feasibility, and Computation Time [PDF]
IEEE Power & Energy Society General Meeting, 2022 Linear approximations of the AC power flow equations are of great significance for the computational efficiency of large-scale optimal power flow (OPF) problems.
Meiyi Li +5 more
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Robust Data-Driven Linear Power Flow Model With Probability Constrained Worst-Case Errors [PDF]
IEEE Transactions on Power Systems, 2021 To limit the probability of unacceptable worst-case linearization errors that might yield risks for power system operations, this letter proposes a robust data-driven linear power flow (RD-LPF) model.
Yitong Liu, Zhengshuo Li, Junbo Zhao
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Ensemble Learning based Linear Power Flow [PDF]
2020 IEEE Power & Energy Society General Meeting (PESGM), 2020 This paper develops an ensemble learning-based linearization approach for power flow with reactive power modeled, where the polynomial regression (PR) is first used as a basic learner to capture the linear relationships between the bus voltages as the independent variables and the active or reactive power as the dependent variable in rectangular ...
Ren Hu, Qifeng Li, Shunbo Lei
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