Usefulness of DC power flow for active power flow analysis

By D. Hertem, J. Verboomen, K. Purchała, Ronnie J. M. Belmans, W. Kling. IEEE Power Engineering Society General Meeting, 2005

612 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/4f68956370cc633447e603ae0f8eaa9f8679e220

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In Electrical and Electronic Engineering

Citations in the corpus

PyPSA: Python for Power System Analysis (2017, background): “Linearised power flow equations for AC networks In some circumstances a linearisation of the AC power flow equations (2) can provide a good approximation to the full non-linear solution [40, 41].”
Convex Relaxation of Optimal Power Flow—Part I: Formulations and Equivalence (2014, neutral): “[15], [16], [17], [18], [19].”
A Linear-Programming Approximation of AC Power Flows (2012, background): “These bounds are intentionally generous so that the power flow behavior within and outside normal operating conditions may be illustrated.”
Transmission needs across a fully renewable European power system (2013, background): “It is valid as long as the network is in steady state, the resistances of the links can be neglected and no significant voltage phase shifts occur between the nodes [20].”
DCOPF-Based LMP simulation: algorithm, comparison with ACOPF, and sensitivity (2007, background): “In addition, other literature shows the acceptability of dc model in power flow studies if the line flow is not very high, the voltage profile is sufficiently flat, and the ratio is less than 0.25 [ 14 ].”
DC Power Flow Revisited (2009, background): “Reference [18] and [19] describe systematic Monte Carlo simulations performed on small networks to investigate the influences on the classical dc model of various parameters such as line ratios.”
Real-Time Detection of False Data Injection Attacks in Smart Grid: A Deep Learning-Based Intelligent Mechanism (2017, background): “We would like to clarify that our deep learning based realtime mechanism is designed under the assumption that the physical topology of the power system does not change dramatically within a short time [22].”
Convex relaxation of optimal power flow: A tutorial (2013, background): “Our focus is on understanding structural properties, especially the underlying convexity structure, of optimal power flow problems rather than different computational algorithms.”
False data injection attacks against state estimation in electric power grids (2011, methodology): “Thus, power system engineers sometimes use a linearized power .ow model, DC power .ow model, to approximate the AC power .ow model [Li et al. 2008; Hertem et al. 2006].”
Solving Multiperiod OPF Problems Using an AC-QP Algorithm Initialized With an SOCP Relaxation (2017, background): “Under normal operating conditions, it usually provides a reasonable approximation of the AC OPF problem [8].”
A Successive Linear Programming Approach to Solving the IV-ACOPF (2016, background): “[4] demonstrate that the DCOPF approach is acceptable if the voltage profile is sufficiently flat, the R/X ratio of transmission lines is less than 0.”