Reconfiguration of Primary Distribution Network with Several Independent Power Sources

Golub, Irina; Voitov, Oleg; Boloev, Eugene; Семенова, Л. В.

doi:10.1016/j.ifacol.2019.08.249

Cited by 6 publications

(5 citation statements)

References 12 publications

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“…Load flow in the unbalanced three-phase three-wire distribution network in the course of its reconfiguration on the base of a single-line model was calculated using SDO-7 software [8] designed for computing the balanced network.…”

Section: Calculation Of Load Flow In the Unbalanced Distribution Networkmentioning

confidence: 99%

“…-Solution of the system of nodal power balance equations by Newton's method to determine the complex values of nodal voltages [8];…”

Section: Calculation Of Load Flow In the Unbalanced Distribution Networkmentioning

confidence: 99%

“…For reconfiguring the primary network the authors developed an algorithm [7] based on the known in the theory of graphs methods for determination (on the graph of a network) of maximum spanning tree and a mix of branches of independent loops by their chords the line switches are associated with. That algorithm is included into the fast operating software for load flow calculation, SDO-7 [8].…”

Section: Introductionmentioning

confidence: 99%

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Reconfiguration of a Primary Three-Phase Three-Wire Distribution Network with Unbalanced Loads

et al. 2020

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The paper deals with the problem of reconfiguration of a primary three-phase three-wire distribution network with unbalanced loads following the criterion of power loss minimization. The authors propose modification of a well-proven algorithm the need for which has been necessitated by using an unbalanced network of power losses and currents in it for reconfiguration. For computing the parameters mentioned, a program for load flow computation in the balanced network is used for modeling an unbalanced network as a single-line equivalent scheme. Efficiency of proposed approaches has been confirmed by results of reconfiguration of a test distribution network.

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Section: Calculation Of Load Flow In the Unbalanced Distribution Networkmentioning

confidence: 99%

“…-Solution of the system of nodal power balance equations by Newton's method to determine the complex values of nodal voltages [8];…”

Section: Calculation Of Load Flow In the Unbalanced Distribution Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Reconfiguration of a Primary Three-Phase Three-Wire Distribution Network with Unbalanced Loads

et al. 2020

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“…The reconfiguration modifies the network topology by changing the status of the tie-lines and sectionalizer switches in the network and thus this method improves the network characteristics, including reducing losses and enhancing the network voltage conditions ( Thakar et al, 2019 , Kanwar et al, 2016 ). The radial topology of the network must be maintained during the reconfiguration process ( Golub et al, 2019 , Badran et al, 2017 ). The focus of utilities is on the reliability level and power quality of the customers in the network with the lowest operating costs.…”

Section: Introductionmentioning

confidence: 99%

An improved corona-virus herd immunity optimizer algorithm for network reconfiguration based on fuzzy multi-criteria approach

Naderipour

Abdullah

Marzbali

et al. 2022

Expert Systems with Applications

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Reconfiguration of the distribution network to determine its optimal configuration is a technical and low-cost method that can improve different characteristics of the network based on multi-criteria optimization. In this paper reconfiguration of unbalanced distribution networks is presented with the objective of power loss minimization, voltage unbalance minimization, voltage sag improvement, and minimizing energy not supplied by the customers based on fuzzy multi-criteria approach (FMCA) using new improved corona-virus herd immunity optimizer algorithm (ICHIOA). The voltage unbalances and voltage sag is power quality criteria and also the ENS refers to the reliability index. Conventional CHIOA is inspired based on herd immunity against COVID-19 disease via social distancing and is improved using nonlinearly decreasing inertia weight strategy for global and local exploration improvement. The methodology is implemented as single and multi-objective optimization on 33 and 69 bus IEEE standard networks. Moreover, the performance of the ICHIOA in problem-solving is compared with some well-known algorithms such as particle swarm optimization (PSO), grey wolf optimizer (GWO), moth flame optimizer (MFO), ant lion optimizer (ALO), bat algorithm (BA) and also conventional CHIOA. The simulation results based on the FMCA showed that all criteria are improved with reconfiguration due to compromising between them while in single-objective optimization, some criteria may be weakened. Also, the obtained results confirmed the superiority of the ICHIOA in comparison with the other algorithms in achieving better criteria with lower convergence tolerance and more convergence accuracy. Moreover, the results cleared that the ICHIOA based on FMCA is capable to determine the best network configuration optimally to improve the power loss, voltage sag, voltage unbalance, and ENS in different loading conditions.

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“…According to [8], for hourly reconfiguration of a distribution network that ensures minimum daily power losses, availability of renewable power generation has a greater impact on power losses reduction than reconfiguration, but with introduction of renewable power generation the number of switchings during reconfiguration increases considerably. It also shows the possibility of selecting the configuration of a primary distribution network at which power losses during the day would be close to daily losses at optimum hourly reconfiguration.…”

Section: Introductionmentioning

confidence: 99%

Minimizing the number of remotely controlled switches when the planning the reconfiguration of a primary distribution network

et al. 2018

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The work shows the possibility to select the permanent configuration of a primary distribution network at which power losses during a week with maximum load and during a week with minimum load the power losses would be close to losses at optimum hourly reconfiguration. Data on the mix of loop branches obtained during the reconfiguration algorithm operation is used for selecting the tie-switches that allow both the regime restoration after emergency opening of a sectionalized switch, and acceleration of this process, especially if the tie-switch is remotely-controlled. The IEEE 33-node test systems are used to demonstrate the proposed algorithms.

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Reconfiguration of Primary Distribution Network with Several Independent Power Sources

Cited by 6 publications

References 12 publications

Reconfiguration of a Primary Three-Phase Three-Wire Distribution Network with Unbalanced Loads

Reconfiguration of a Primary Three-Phase Three-Wire Distribution Network with Unbalanced Loads

An improved corona-virus herd immunity optimizer algorithm for network reconfiguration based on fuzzy multi-criteria approach

Minimizing the number of remotely controlled switches when the planning the reconfiguration of a primary distribution network

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