2020
DOI: 10.1002/est2.122
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A two‐stage approach to shunt capacitor‐based optimal reactive power compensation using loss sensitivity factor and cuckoo search algorithm

Abstract: Reactive power compensation on radial distribution systems is a challenging issue. Electric power distribution systems are being bedeviled by high active power loss and severe voltage violation especially on the buses that are far from distribution substations. This article presents a two-stage approach for sizing shunt capacitors and identifying the locations where their placement would be most beneficial within radial distribution systems. A multiobjective function capturing real power loss minimization and … Show more

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Cited by 16 publications
(7 citation statements)
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References 47 publications
(47 reference statements)
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“…The proposed techniques had been tested on IEEE 34 bus and IEEE 85 bus radial distribution systems and the effectiveness of proposed algorithm had been compared with several algorithms: PSO, PGS and MINLP algorithms. Similar work using hybrid analytical-metaheuristic approach had been done by Olabode et al in [120] to determine the optimal location and sizing of SC. The potential locations for SC installation were firstly determined using analytical approach, PLS and the optimal location and sizing optimization problems were solved using CSA.…”
Section: A Power Lossmentioning
confidence: 88%
“…The proposed techniques had been tested on IEEE 34 bus and IEEE 85 bus radial distribution systems and the effectiveness of proposed algorithm had been compared with several algorithms: PSO, PGS and MINLP algorithms. Similar work using hybrid analytical-metaheuristic approach had been done by Olabode et al in [120] to determine the optimal location and sizing of SC. The potential locations for SC installation were firstly determined using analytical approach, PLS and the optimal location and sizing optimization problems were solved using CSA.…”
Section: A Power Lossmentioning
confidence: 88%
“…This method is used as a way of reducing the search space when selecting candidate nodes for DER placement algorithms (with lower complexity and execution time) [38]. For instance, nodes with high NSFs are selected as candidate nodes for optimal placement of DERs and SCs [39], [40]. NSFs are computed using partial derivatives of system line losses.…”
Section: Nodal Sensitivity Factors (Nsfs)mentioning
confidence: 99%
“…Using ( 9) and ( 10), one can compute NSFs based on partial derivatives [37], [39] of system losses with respect to reactive power consumption at the destination n node as follows,…”
Section: Nodal Sensitivity Factors (Nsfs)mentioning
confidence: 99%
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“…Although this approach increases the probability of finding optimal solution by reducing search space, implementation of the proposed approach is not easy and fast. In Reference 14, a bi‐level approach has been applied to CPP using CS algorithm and LSF. The approach sizes shunt capacitors and identifies locations where their placement would be most beneficial within distribution network.…”
Section: Introductionmentioning
confidence: 99%