2017
DOI: 10.1049/iet-gtd.2016.0566
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Improvement of backward/forward sweep power flow method by using modified breadth‐first search strategy

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Cited by 31 publications
(11 citation statements)
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References 20 publications
(16 reference statements)
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“…The references [24,25] propose a novel method to deal with energy minimization; and finally in the paper [26], wavelet decomposition combined with an adaptive neuro-fuzzy inference system is used for short-term wind power forecasting. In the reference [27], by using a modified breadth-first search strategy, the improvement of a backward/forward sweep load-flow approach is presented. The goal of the paper [28] is to specify the optimal grid switching condition of minimum losses, with the precondition of keeping the stable voltages on all buses.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The references [24,25] propose a novel method to deal with energy minimization; and finally in the paper [26], wavelet decomposition combined with an adaptive neuro-fuzzy inference system is used for short-term wind power forecasting. In the reference [27], by using a modified breadth-first search strategy, the improvement of a backward/forward sweep load-flow approach is presented. The goal of the paper [28] is to specify the optimal grid switching condition of minimum losses, with the precondition of keeping the stable voltages on all buses.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In the k-th (k≥0) iteration of the conventional NR method, x (k) = [δ (k) U (k) ω (k) ] T is given (k=0) or obtained from last iteration (k>0); f (k) (x (k) ) = [ΔP (k) (x (k) ) ΔQ (k) (x (k) )] T and J (k) can be calculated from (7) and (17) respectively. Then the step size Δx (k) can be determined by: (19) After the step Δx (k) is obtained, x is updated:…”
Section: Problem Formulation For Unbalanced Imgsmentioning
confidence: 99%
“…Extensive studies have been carried out on load flow calculation for transmission and distribution systems [6][7][8]. However, conventional load flow models and algorithms are not applicable to droop-controlled IMGs because of their following features: 1) These IMGs are typically fed by several droop-controlled DG units of small capacity, thus no DG unit can serve as a slack bus, and the system frequency is not constant anymore; 2) The active and reactive power output as well as the voltage of the droop-controlled DGs are determined based on the droop characteristics, thus none of them can be pre-specified [3][4].…”
Section: Introductionmentioning
confidence: 99%
“…Alinjak et al . [150, 151] developed a three‐phase power flow method for unbalanced LV networks aimed at minimising the network losses. The system element modelled in three‐phase frameworks based on the FBS technique.…”
Section: Operation Of LV Distribution Networkmentioning
confidence: 99%