2022
DOI: 10.1080/23311916.2022.2091668
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Optimal allocation of multiple distributed generation units in power distribution networks for voltage profile improvement and power losses minimization

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Cited by 29 publications
(14 citation statements)
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“…In order to validate the practicability of the proposed index BVSI in solving the optimal location and sizing problem, the results are compared with the other few existing methods using hybrid analytical -metaheuristic algorithm or also known as two-stage approach. In all previous works proposed by authors in [57][58][59], the candidate buses for DGs location were pre-determined initially using analytical approach via loss sensitivity factor (LSF). This helps to reduce the search space for solving the optimization problems in the next stage.…”
Section: Case IV : Application Of Bvsi In Solving the Optimal Locatio...mentioning
confidence: 99%
See 1 more Smart Citation
“…In order to validate the practicability of the proposed index BVSI in solving the optimal location and sizing problem, the results are compared with the other few existing methods using hybrid analytical -metaheuristic algorithm or also known as two-stage approach. In all previous works proposed by authors in [57][58][59], the candidate buses for DGs location were pre-determined initially using analytical approach via loss sensitivity factor (LSF). This helps to reduce the search space for solving the optimization problems in the next stage.…”
Section: Case IV : Application Of Bvsi In Solving the Optimal Locatio...mentioning
confidence: 99%
“…This helps to reduce the search space for solving the optimization problems in the next stage. Based on these pre-determined candidate locations, the optimal location and sizing of DG(s) were finally determined using few metaheuristic algorithms such as Bacteria Foraging Optimization Algorithm (BFOA) [57], Dragonfly Algorithm (DA) [58] and Improved Particle Swarm Optimization (IPSO) [59].…”
Section: Case IV : Application Of Bvsi In Solving the Optimal Locatio...mentioning
confidence: 99%
“…In [8], the modified sine cosine algorithm (MSCA) is introduced for handling techno-economic multiobjective functions (i.e., f1, f3, and f4) while solving optimal PV and WT type DGs integration. In [9], loss sensitivity factors (LSFs) and voltage stability indices (VSIs) are used to find locations, and improved-PSO (IPSO) is used to find the best sizes for PV-type DGs to reduce real and reactive power loss and improve the voltage profile.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, attention to the prosumers management is on the agenda, and there are multiple research papers dedicated to the problems related to the increasing penetration of DERs. Of particular interest are the problems of voltage and capacity constraints violation and of the power and energy losses minimization in such networks [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27].…”
Section: Introductionmentioning
confidence: 99%
“…Also, the results of energy loss assessment should rely on a simple and accurate power flow solution method. However, the energy loss estimations, based on the "exact loss formula" [14] and the algebraic techniques, which use resistance of per unit length of the power lines [16,18,19,24,27] or complex impedance of the power line [20] might be not enough accurate and quick for branched power systems. Therefore, a convenient numeric method was selected for this work.…”
Section: Introductionmentioning
confidence: 99%