2020
DOI: 10.1007/s00521-020-05092-2
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An effective method to solve the problem of electric distribution network reconfiguration considering distributed generations for energy loss reduction

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Cited by 32 publications
(22 citation statements)
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“…It is a well‐known algorithm and has been successfully applied in many technical problems; SFO is a newly developed algorithm based on the idea of movement of sunflower toward the sun 46 and PFA 47 takes the idea of movement and leadership hierarchy of animal swarms for finding food. Both SFO and PFA have also proven their high performance against a number of previous algorithms for standardized functions and a number of engineering problems 46,51 …”
Section: The Numerical Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…It is a well‐known algorithm and has been successfully applied in many technical problems; SFO is a newly developed algorithm based on the idea of movement of sunflower toward the sun 46 and PFA 47 takes the idea of movement and leadership hierarchy of animal swarms for finding food. Both SFO and PFA have also proven their high performance against a number of previous algorithms for standardized functions and a number of engineering problems 46,51 …”
Section: The Numerical Resultsmentioning
confidence: 99%
“…In addition, this ratio is also different for each node. Then, the load at each node is calculated as follows 49,50,51 : {Pj,i=k=13Pj,italicpeak.Rj,k.RPk,iQj,i=k=13Qj,italicpeak.Rj,k.RQk,i where, P j , i and Q j , i are the active and reactive loads of the node j at the interval i with j = 1, 2, …, n bus and i = 1, 2, …, 24. P j , peak and Q j , peak the peak active and reactive loads of the node j .…”
Section: The Numerical Resultsmentioning
confidence: 99%
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“…Then run the load flows for the modified network and sum the branch real power loss. Then check the voltages of branch that is opened during the network if the ( > ) and the difference of real power loss of base case system ( > ) and modified power loss is greater than the error ( 1 − )>error then the modified real power loss is sent to another variable and further add opened branch at the sending end node that is connected to the receiving end node and run the load flows and do the same analysis [25], [26]. If the condition is not true then select the next tie switch for the process and do the same analysis of the system.…”
Section: Network Reconfigurationmentioning
confidence: 99%
“…In [33], chaotic sine cosine algorithm (CCSCA) and in [34], an improved raven roosting optimization (IRRO) algorithm are introduced for solving multi-objective optimal allocation of multiple DGs problem. In similar to [35], a new pathfinder algorithm (PFA) is proposed for obtaining simultaneous optimal network reconfiguration and DG allocation. Similarly, hybrid genetic particle swarm optimization (HGPSO) [36], stochastic fractal search optimization algorithm (SFSOA) [37] and biogeography-based optimization (BBO) [38] are some of such recent meta-heuristic approaches for solving optimal allocation of DGs problem considering technical aspects.…”
Section: Introductionmentioning
confidence: 99%