Contribution to the Economic and Optimal Planning of Multi-GED and a FACTS in a Distribution Network by Genetics Algorithms

Oloulade, Arouna; Imano, Adolphe Moukengue; Fifatin, François-Xavier; Tanimomon, Mahamoud; Dansou, Akouèmaho Richard; Badarou, Ramanou; Vianou, Antoine

doi:10.11648/j.epes.20200902.11

Cited by 2 publications

(3 citation statements)

References 7 publications

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“…To evaluate the electrical state of the network that must precede the identification of vulnerabilities, we used the load flow method that is based on Kirchhoff's laws [16].…”

Section: B Calculation Of the Power Flowmentioning

confidence: 99%

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DSTATCOM Positioning in Radial Distribution Networks Using BVSI and Genetic Algorithm

Ibrahim¹,

Fifatin²,

Oloulade³

et al. 2022

EPES

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The distribution networks of African cities are for the most part in degradation of the required quality due to the exponential evolution of the loads due to demography and industry. In this paper, a hybrid approach based on an analyticmetaheuristic method called (BVSI-GA) developed in the MATLAB environment was used to dimension and position in an ultra-optimal way a DSTATACOM in a quasi-disaster network of Maradi in Niger. Indeed, the positioning of a DSTATCOM with a power of 1840 kVAr at node 40 in this 123-bus distribution network has contributed to reduce the losses in this network by 19.08% with a voltage profile improvement of 2.44%. On the other hand, the exploration of a multiple positioning in order to better secure and make this 123-node network more reliable in case of failure of any of the multiple DSTATACOMs contributed to reducing losses by 25.76%, i.e., a performance improvement of 6.68% compared to the mono-DSTATACOM. As for the tension profile in this case was improved by 2.78% compared to the initial case and by 0.34% to the mono positioning case. The method used in this study is accessible to operators and is effective in predicting and performing distribution networks in African countries, which are nowadays confronted with various contingencies that must be controlled within the limits of tolerable time.

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“…To evaluate the electrical state of the network that must precede the identification of vulnerabilities, we used the load flow method that is based on Kirchhoff's laws [16].…”

Section: B Calculation Of the Power Flowmentioning

confidence: 99%

“…The annual cost of energy saved (ACES) is the difference between the total cost of energy losses before installation and the total cost of energy losses and the annual cost of DSTATCOM after installation in the network and is given by equation (16).…”

Section: F Annual Cost Of Energy Saved (Aces)mentioning

confidence: 99%

DSTATCOM Positioning in Radial Distribution Networks Using BVSI and Genetic Algorithm

Ibrahim¹,

Fifatin²,

Oloulade³

et al. 2022

EPES

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“…Produced in power plants, electrical energy is transported and distributed via power lines. This transport, which takes place by submarine, underground and aerial routes, requires choices to be made for reasons of cost, safety and ease of maintenance [1].…”

Section: Introductionmentioning

confidence: 99%

Elaboration of Distance Standards Against the Electromagnetic Effects of High-Voltage B Overhead Lines in the Republic of Benin

Nounangnonhou,

Olouladé,

Lamidi

et al. 2024

IJEPE

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The high-voltage overhead lines used to transport electrical energy from production plants to distribution stations constitute a very important link in the chain of providing electrical energy to communities. However, they constitute potential sources of emission of electromagnetic waves whose impacts are harmful to human health (thermal electrical stimulation of tissues and in particular those of the brain causing different forms of cancer) if the safety distance between these lines and users is not respected. In recent years, Benin has experienced, in urban areas crossed by transport lines and particularly among populations living in the vicinity of these lines, an explosion in the rate of people suffering from cancer. This study is carried out not only to check whether the minimum distance according to the voltage levels of these lines is respected in order to ensure the safety of people living in their vicinity but also to develop a standard of minimum distances to be respected. By the numerical simulation method based on Maxwell's equations established in a supposedly empty medium, the Bio-Savart law and the Lorentz transformation, the model of wave intensity as a function of distances, is determined. The results obtained respectively give minimum safety distances of 15 meters, 20 meters and 36 meters for the 63 kV, 161 kV and 330 kV high voltage lines Category B. These distances are, by far, respected by the populations. Furthermore, the results clearly show that electric fields are more decisive in defining the minimum distances obtained.

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Contribution to the Economic and Optimal Planning of Multi-GED and a FACTS in a Distribution Network by Genetics Algorithms

Cited by 2 publications

References 7 publications

DSTATCOM Positioning in Radial Distribution Networks Using BVSI and Genetic Algorithm

DSTATCOM Positioning in Radial Distribution Networks Using BVSI and Genetic Algorithm

Elaboration of Distance Standards Against the Electromagnetic Effects of High-Voltage B Overhead Lines in the Republic of Benin

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