2011
DOI: 10.1016/j.enconman.2010.11.019
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A robust decoupled power flow for distribution systems

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Cited by 8 publications
(11 citation statements)
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“…The number of problem variables (Δ V and Δ δ ) will be almost twice the number of nodes ( nn ) and equals (2 × nn − 2), as the voltage angle ( δ 1 ) of reference node is known. The results of PSGOM were compared with those of the existing published methods of FBSPF (Sangamesh and Suresh, 2020), LDPF (Aravindhababu and Ashokkumar, 2011), RDPF (Aravindhababu and Ashokkumar, 2008) and NR (Shakil et al , 2020). A tolerance value of 0.0001 per unit was used for checking the convergence of the PSGOM and the existing methods as well.…”
Section: Resultsmentioning
confidence: 99%
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“…The number of problem variables (Δ V and Δ δ ) will be almost twice the number of nodes ( nn ) and equals (2 × nn − 2), as the voltage angle ( δ 1 ) of reference node is known. The results of PSGOM were compared with those of the existing published methods of FBSPF (Sangamesh and Suresh, 2020), LDPF (Aravindhababu and Ashokkumar, 2011), RDPF (Aravindhababu and Ashokkumar, 2008) and NR (Shakil et al , 2020). A tolerance value of 0.0001 per unit was used for checking the convergence of the PSGOM and the existing methods as well.…”
Section: Resultsmentioning
confidence: 99%
“…Such PF study is very important for distribution automation to carry out distribution management functions such as reconfiguration, fault detection, load shedding, capacitor placement, distribution generation (DG) placement and FACTS placement. The classical PF methods such Gauss-Seidel, Newton–Raphson (NR) and fast decoupled PF methods were developed and used in transmission networks (Tinney and Hart, 1967; Stott and Alsac, 1974; Mythili et al , 2020), and may not reliably converge to yield PF solution of DNs as they are ill-conditioned because of weakly meshed or radial nature of the network, lower node voltages, wide variation of feeders’ r/x ratios and unbalanced loads (Aravindhababu and Ashokkumar, 2011; Rajesh and Shajin, 2020; Shajin and Rajesh, 2020; Thota et al , 2020).…”
Section: Introductionmentioning
confidence: 99%
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“…The main objective of the robust decoupled method is to decouple the Newton-Raphson equation into two sub-equations by a constant transformation matrix [9]. Multiplying the Jacobian matrix by the transformation matrix will result in zero off-diagonal blocks of the Jacobian.…”
Section: Robust Decoupled (Rd) Methodsmentioning
confidence: 99%
“…The PF equations are linearized and transformed by a constant matrix for decoupling the PF problem. The method is simple and efficient, and has the drawback of causing oscillatory convergence on ill-conditioned DSs similar to Newton based techniques due to radial nature of the network [5].…”
Section: Introductionmentioning
confidence: 99%