Optimal localization of voltage regulator banks in distribution systems based on technical and economic criteria

Almeida, Angelo M. F. de; Souza, Benemar Alencar de; Pamplona, F.M.P.; Braz, Helon D. M.

doi:10.1049/cp:20051359

Cited by 5 publications

(1 citation statement)

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“…Genetic algorithm was employed with the same objective in [7]. Reference [8] uses genetic algorithm to determine the optimal location and number of SC and SVR devices in a distribution network. Artificial neural network was used in the minimization process of power loss [9] and in a clustering procedure in order to reduce the search space in an optimal SC scheduling [10].…”

Section: Introductionmentioning

confidence: 99%

Negative Selection of Artificial Immune Applied to Voltage Inadequacy Detection in Distribution Networks

Delboni

Silva

Oliveira

2015

International Journal of Emerging Electric Power Systems

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The problem of voltage control and reactive power management plays a crucial role on power system's operations. Particularly, detecting the most effective control actions to reduce the system loss and enhance the voltage profile is of major interest. This paper deals with system voltage inadequacy detection. To address this problem, artificial immune system is employed considering its negative selection mechanism. Its purpose is to monitor system operation data entry and check if the voltage level is within its operating values. In this sense, the user may define the range of control, so the proposed methodology may be useful for normal and emergency operating conditions. Corrective actions are undertaken if necessary. The IEEE 34 nodes distribution system is used to test the proposed methodology.

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