Load Profile-Based Power Loss Estimation for Distribution Networks

Iqteit, Nassim; Arsoy, Ayşen Basa; Çakır, Bekir

doi:10.26650/electrica.2018.02248

“…The system base values are 12.66 kV and 100 MVA. The load profiles of each node of the second system were calculated by multiplying the average demand by the suitable curve which is given in Figure in article . To maintain the security of both networks, the profiles/size of DG should not be greater than the total profiles/size of load demands.…”

Section: Numerical Resultsmentioning

confidence: 99%

A time‐varying load‐based analytical approach for DG optimization in the distribution network

Iqteit

¹

,

Arsoy

²

,

Çakır

³

2018

Int Trans Electr Energ Syst

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Summary This paper presents a novel analytical approach to estimate the optimal generation profiles/size and location of a distributed generation (DG) unit that can be integrated into distribution network to attain the lowest level of active loss. This approach considered the impact of significant parameters including daily load profiles, best power limits of a DG unit, and varying injected power profiles of the substation on results of minimum active loss of the distribution network and optimal calculations of DG. Additionally, the DG placement was speedily identified in this approach by using a new active loss expression along with four different scenarios. These scenarios considered a number of assumptions on the load profiles and on the state variables (voltage and angle). The obtained optimal active generation profile was also used to manage the uncertainty in the energy of the wind and photovoltaic distribution generators for achieving the highest loss reduction. Additionally, the exhaustive load flow method was used to check the validity of the analytical approach by using 13‐bus and 69‐bus distribution networks. The results obtained suggest the effectiveness of this approach in estimating the optimal location and profile/size of DG.

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“…K.K. Kaberere 1 and G.K. Irungu 2 are with the Department of Electrical and Electronic Engineering, Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi, Kenya (e-mail 1 : kkanuthu@eng.jkuat.ac.ke; email 2 : girungu@jkuat.ac.ke). distribution systems' network reconfiguration is one way through which the bus voltages may be improved and the power system losses minimized [3].…”

Section: Introductionmentioning

confidence: 99%

Optimal Network Reconfiguration for Real Power Losses Reduction using Sparrow Search Algorithm

Mtonga¹,

Kaberere²,

Irungu³

2022

Preprint

0

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<p>Optimal network reconfiguration helps with the reduction of total real power losses and the improvement of bus voltages. Several optimal network reconfiguration approaches are available in literature. However, as shown by a very recent study on the IEEE 33-bus radial distribution system, these approaches fail to attain the least total real power losses. Despite that, the recent study did not consider multiple test systems and load variations. Consequently, this article addresses those unexplored areas by introducing an optimal network reconfiguration approach that minimizes the total real power losses in the standard IEEE 33- and 69-bus radial distribution systems under nominal (100%) and heavy (160%) load conditions. The developed approach, which is based on Sparrow Search Algorithm, intelligently searches for the optimum tie and sectionalizing branches that have to be switched on and off, respectively, in order to minimize the systems' total real power losses. The search for the optimum tie and sectionalizing branches is performed in the permutations of loops created by the radial distribution systems' tie and sectionalizing branches. For the considered two test systems, the developed approach gave the least total real power losses and the best bus voltage than the referenced approaches.</p>

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“…Dynamics in the above factors cause the loading of power systems to either increase or decrease. An increase in the loading of power system results in increased branch power flows which consequently lead to increased branch currents, voltage drops and branch power losses, and vice-versa [2]. If the loading increases very much, it drives the bus voltages out of tolerance and also increases the power system losses.…”

Section: Introductionmentioning

confidence: 99%

Optimal Network Reconfiguration for Real Power Losses Reduction using Sparrow Search Algorithm

Mtonga¹,

Kaberere²,

Irungu³

2022

Preprint

0

View full text Add to dashboard Cite

<p>Optimal network reconfiguration helps with the reduction of total real power losses and the improvement of bus voltages. Several optimal network reconfiguration approaches are available in literature. However, as shown by a very recent study on the IEEE 33-bus radial distribution system, these approaches fail to attain the least total real power losses. Despite that, the recent study did not consider multiple test systems and load variations. Consequently, this article addresses those unexplored areas by introducing an optimal network reconfiguration approach that minimizes the total real power losses in the standard IEEE 33- and 69-bus radial distribution systems under nominal (100%) and heavy (160%) load conditions. The developed approach, which is based on Sparrow Search Algorithm, intelligently searches for the optimum tie and sectionalizing branches that have to be switched on and off, respectively, in order to minimize the systems' total real power losses. The search for the optimum tie and sectionalizing branches is performed in the permutations of loops created by the radial distribution systems' tie and sectionalizing branches. For the considered two test systems, the developed approach gave the least total real power losses and the best bus voltage than the referenced approaches.</p>

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Load Profile-Based Power Loss Estimation for Distribution Networks

Cited by 7 publications

References 11 publications

A time‐varying load‐based analytical approach for DG optimization in the distribution network

A time‐varying load‐based analytical approach for DG optimization in the distribution network

Optimal Network Reconfiguration for Real Power Losses Reduction using Sparrow Search Algorithm

Optimal Network Reconfiguration for Real Power Losses Reduction using Sparrow Search Algorithm

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