2016
DOI: 10.1016/j.jestch.2015.09.002
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Optimal sizing and locations of capacitors in radial distribution systems via flower pollination optimization algorithm and power loss index

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Cited by 105 publications
(69 citation statements)
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“…Abdelaziz [24] had used a power pollination algorithm (FPA) to locate capacitors in RDNs with a target to reduce the size of capacitors at the selected locations. They had selected the candidate node using the power loss index (PLI).…”
Section: Related Workmentioning
confidence: 99%
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“…Abdelaziz [24] had used a power pollination algorithm (FPA) to locate capacitors in RDNs with a target to reduce the size of capacitors at the selected locations. They had selected the candidate node using the power loss index (PLI).…”
Section: Related Workmentioning
confidence: 99%
“…The results attained from the proposed method after compensation has also been juxtaposed with GSA, SA, and IP [22] as shown in Table 2 for normal load (100%). The results (minimum voltage and node number, optimal location and size, and real power loss for three different loads-light (50%), normal (100%), and peak (160%)), after compensation obtained by the proposed scheme, are given in Table 3 along with the results obtained by TLBO [21], DSA [23], and FPA [24]. Table 3.…”
Section: The 33-node Rdnmentioning
confidence: 99%
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“…This selection is performed based on HMCR formulated in (20) as the selecting probability which is determined between 0 and 1. (23) In this step, each new produced note checks to assure that it does not need more tune.…”
Section: Original Harmony Search Algorithmmentioning
confidence: 99%
“…In [19], a two steps modified flower pollination optimization algorithm (FPOA) is presented to reach better performance in order to decrease the operating cost and consequently increase the annual net saving. A bacteria foraging algorithm depends upon on fuzzy logic theory [20] is proposed to look into search space and find the optimum solution for location of capacitors.…”
Section: Introductionmentioning
confidence: 99%