A fuzzy expert system for loss reduction and voltage control in radial distribution systems

Abdelaziz, Almoataz Y.; Mekhamer, S. F.; Nada, Mohamed Abu

doi:10.1016/j.epsr.2009.12.020

Cited by 13 publications

(6 citation statements)

References 14 publications

(20 reference statements)

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“…From Table 3, it can be observed that initial voltage of busses 16,17,18,19,20,21,22,23,24,25,26,27,46,47,48,49,50,51,52,53, and 54 is below the lower limit. The SCBs of 1500kVAR, 500kVAR, and 500kVAR are installed at bus 52, bus 49, and bus 50, respectively.…”

Section: Application Of Proposed Methods With Uncertainty Of Renewabmentioning

confidence: 96%

“…fixed and/or switched capacitor banks are placed by nature-observed heuristic algo rithms, usually known as AI methods. These optimization methods are used for deciding optimal location and size of SCB; eg, fuzzy logic, [19][20][21][22] genetic algorithm, [23][24][25][26][27] fuzzy GA, [28][29][30][31] particle swarm optimization, [32][33][34] plant growth simulation algorithm, 35,36 teaching learning-based optimization, 37 gravitational search algorithm, 38 ant colony optimization, 39,40 artificial bee colony algorithm, 41,42 cuckoo search algorithm, 43 evolutionary tech nique, 44,45 bacterial foraging algorithm, 46 bioinspired algorithm, 47 flower pollination algorithm, 48 monkey search technique, 49 and improved harmony algorithm 50 etc. A simple analytical approach 51 and differential evolution 52 are also proposed for optimal capacitor placement in radial DS.…”

Section: Literature Reviewmentioning

confidence: 99%

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Framework for multipoint optimal reactive power compensation in radial distribution system with high distributed generation penetration

Bharti

2019

Int Trans Electr Energ Syst

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Summary Reactive power management and voltage control are essential for improved operational performance of distribution system (DS). With increasing distributed generation (DG) penetration in DS, reactive power compensation (RPC) becomes more significant, as most of the renewable‐based DGs are not able to supply reactive power. This paper presents new graph‐theoretic method for placement of reactive power compensator in radial DS using “average electrical centrality index.” The proposed method is efficient with less compute intensive because appropriate location for the compensator is decided by centrality measures, unlike the existing methods that use optimization techniques to determine location. The proposed method is tested in a modified 69‐bus radial system to demonstrate its applicability in practice. The robustness of the proposed method is demonstrated in case of renewable generation uncertainty for modified 69‐bus radial DS. The performance of the proposed method is compared with existing multipoint RPC methods also.

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Section: Application Of Proposed Methods With Uncertainty Of Renewabmentioning

confidence: 96%

Section: Literature Reviewmentioning

confidence: 99%

Framework for multipoint optimal reactive power compensation in radial distribution system with high distributed generation penetration

Bharti

2019

Int Trans Electr Energ Syst

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“…Capacitor banks improve this parameter. Authors in have focused on improvement of voltage profile using OSSC. In , voltage regulators locations and their taping ratios are specified to minimize total system loss and keeping voltage in reasonable ranges, simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Optimal sizing and siting of shunt capacitor banks by a new improved differential evolutionary algorithm

Hosseinzadehdehkordi

Nasab

Shayeghi

et al. 2013

Int. Trans. Electr. Energ. Syst.

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SUMMARY In this context, a novel structure is proposed for differential evolutionary algorithm (DEA) to compensate reactive power by optimal siting and sizing capacitor (OSSC) in radial distribution systems (RDSs). DEA is among the evolutionary algorithms (EAs) which uses crossover, mutation and selection operators to obtain optimal solution from initial population. In proposed improved DEA (iDEA), two scenarios for mutation operator is defined. Other improvement is self‐adapting crossover rate. Main goal of shunt capacitor in RDS is minimizing annual cost, while in this work, in addition to annual cost, five other parameters are studied and analyzed, which are: total installed capacitor banks and its related cost, power loss and related cost as well as minimum voltage. To verify the ability of proposed technique, iDEA is tested on standard RDSs (i.e. IEEE 10‐bus and 33‐bus) and compared with other well‐developed techniques. Also, to confirm robustness of iDEA to be utilized in practical cases, three load levels are defined and iDEA applied on practical RDS of Meshkin‐shahr City in North West of Iran. Copyright © 2013 John Wiley & Sons, Ltd.

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mentioning

confidence: 98%

Improving Knowledge-Based Systems with statistical techniques, text mining, and neural networks for non-technical loss detection

Guerrero

León

Monedero

et al. 2014

Knowledge-Based Systems

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A fuzzy expert system for loss reduction and voltage control in radial distribution systems

Cited by 13 publications

References 14 publications

Framework for multipoint optimal reactive power compensation in radial distribution system with high distributed generation penetration

Framework for multipoint optimal reactive power compensation in radial distribution system with high distributed generation penetration

Optimal sizing and siting of shunt capacitor banks by a new improved differential evolutionary algorithm

Improving Knowledge-Based Systems with statistical techniques, text mining, and neural networks for non-technical loss detection

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