2021
DOI: 10.3390/app112411840
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Annual Cost and Loss Minimization in a Radial Distribution Network by Capacitor Allocation Using PSO

Abstract: Increasing power demand from passive distribution networks has led to deteriorated voltage profiles and increased line flows. This has increased the annual operations and installation costs due to unavoidable reinforcement equipment. This work proposes the reduction in annual costs by optimal placement of capacitors used to alleviate power loss in radial distribution networks (RDNs). The optimization objective function is formulated for the reduction in operation costs by (i) reducing the active and reactive p… Show more

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Cited by 11 publications
(6 citation statements)
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“…Distributed generation that are linked to the grid reduce the total load on the network by powering some of the loads locally [3]. Along with addressing the issue of power shortage with HRES, the proposed model has improved the voltage profile due to onsite injection of power demand [53,54]. As can be seen in Table 7, the bus voltage at the Kotli grid station was enhanced from 124.0 kV (0.94 pu) to 127.6 kV (0.97 pu) for given loads at different substations.…”
Section: Ghg Emissionsmentioning
confidence: 99%
“…Distributed generation that are linked to the grid reduce the total load on the network by powering some of the loads locally [3]. Along with addressing the issue of power shortage with HRES, the proposed model has improved the voltage profile due to onsite injection of power demand [53,54]. As can be seen in Table 7, the bus voltage at the Kotli grid station was enhanced from 124.0 kV (0.94 pu) to 127.6 kV (0.97 pu) for given loads at different substations.…”
Section: Ghg Emissionsmentioning
confidence: 99%
“…The ship's suppression capacity and the final state ship speed are converted into single targets by weighting, that is, the objective function is converted to the Equation ( 5), and the solution method still adopts the PSO, which is shown in Figure 3, mentioned in [15]. As shown in [23], the details and pros and cons of the PSO method are given. Furthermore, [24,25] show that energy scheduling must consider power quality and power flow constraints.…”
Section: Algorithm For General Situationmentioning
confidence: 99%
“…Fur thermore, [24,25] show that energy scheduling must consider power quality and powe flow constraints. In order to deal with complex constraints, this paper proposes adding a "feasible so lution retention strategy" on the basis of the PSO algorithm, after learning from the liter ature [20][21][22][23][24][25]. The specific meaning is as follows: when initializing each point, chec whether the newly generated solution meets the constraint after random initialization.…”
Section: Algorithm For General Situationmentioning
confidence: 99%
“…Another study [8] presented an integrated method using multi-objective particle swarm optimization to minimize power supply probability loss, levelized energy cost, and greenhouse emissions. The authors in [9] proposed a reduction in cost by optimally placing a capacitor to alleviate the power loss in a radial distribution network. The proposed work is then tested over two different IEEE standard networks.…”
Section: Introductionmentioning
confidence: 99%