Optimal Capacitor Placement and Sizing in Distribution Networks

Najafi, Arsalan; Masoudian, Ali; Mohammadi‐Ivatloo, Behnam

doi:10.1007/978-3-030-34050-6_4

Cited by 1 publication

(1 citation statement)

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“…In the published literature, numerous authors have examined the deployment and allocation problem of DGs in IEEE 33 [10] and 69-bus distribution networks [11] to minimize the power losses and to improve the bus voltages. In [12], the authors have proposed ALO to size and locate one as well as two DGs.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Optimal Deployment of Several DGs in Distribution Networks Using Plant Propagation Algorithm

et al. 2020

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In recent years, the substantial upsurge of electricity demand has directly impacted the performance of the distribution networks concerning the active power losses and voltage drops. In such circumstances, the distributed generators (DGs) could uphold these concerns if they are optimally deployed in terms of sizing and placement. For this reason, in current research, the optimal deployment of DGs has been proposed with the plant propagation algorithm (PPA) to simultaneously maximize the total active power loss reduction and to upgrade the magnitude of the minimum bus voltage. Alongside, the authors have examined four rounds of DGs. In that context, the optimal deployment of one DG is investigated in the first round. In each succeeding round, the number of DGs is increased: in the second round, this investigation is carried out for two DGs, for three DGs in the third round, and finally, for four DGs in the fourth round of the investigation. The effectiveness of the proposed PPA has been tested on IEEE 33 and 69-bus test networks in the load flow analysis, and results are compared with the standard optimization algorithms. Thereafter, a post deployment economic assessment based on loss calculation has been undertaken out as well. The ANOVA test has also been performed for statistical evaluation of standard algorithms. The simulation results exhibit that the proposed algorithm outdo other algorithms both technically and economically. It has been seen that as the deployment of DGs is increased, the total active power losses and voltage drops are also reduced. In terms of economic assessments, the total cost decreases with the increased deployment of DGs in IEEE 33-bus test network, whereas, the total cost increases with the increased deployment of DGs in IEEE 69-bus test network. INDEX TERMS Distributed generators, load flow analysis, sizing and placement of DGs, total active power losses, voltage drops, test networks, plant propagation algorithm (PPA).

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Section: Introductionmentioning

confidence: 99%