Optimation of Capacitor Bank Placement in Electric Network Using Genetic Algorithm

Abstract

Minimizing losses in electric network should be considered the placing a shunt capacitor, the voltage level on each bus, the size and number of shunt capacitors to be used, and the supply of maximum and minimum of generator power. This paper is conducted the determination of location and size of shunt capacitor to be allocated in electric power transmission networks. The simulation using Genetic Algorithms (GA) method was applied to solve the problem of reactive power compensation optimation. To find out amount of compensation for voltage drop and power losses that occur in the system, a load flow analysis was performed using the Newton-Raphson method. The result of capacitor placement and capacitor capacity were shown the highest voltage conditions on bus 4 of 1.050 Mvar and the lowest on bus 24 of 9.69 Mvar. The optimization system was revealed the total losses system of 12.793 MW with a total generation cost of 15447.44 $/h for the capacitor reduction size of 18.8 Mvar. Therefore, the system can save 6.2 Mvar’s capacitors.

Optimalisasi Pengaturan Tegangan di Jaringan Listrik Dengan Menggunakan Genetik Algoritma

“…Untuk menjaga Zulfahri, Optimalisasi Pengaturan Tegangan di Jaringan Listrik Dengan Menggunakan Genetik Algoritma kestabilan tersebut diperlukan kompensasi daya reaktif, dengan dilakukannya pemasangan peralatan kapasitor shunt , diharapkan dapat mengurangi drop tegangan yang terjadi sehingga rugi-rugi daya bisa dikurangi. ( Arlenny, 2019).…”

Optimización de la compensación reactiva en sistemas eléctricos por el método CRITIC

“…Diversos trabajos de optimización para compensación de reactivos han sido presentados entorno al uso de métodos heurísticos como algoritmos genéticos (Arlenny et al, 2019), colonia de hormigas (Elkhidir et al, 2019), optimización por enjambre de partículas (Ramadan et al, 2017), entre otros (Bayat & Bagheri, 2019). Todos estos métodos de ISSN: 2602-8085 Vol.…”

Analysis of the Effect of Capacitor Placements at High and Low Voltage Transformer Sides as Voltage Profile and Total Cost in Distribution Systems

“…Capacitor compensation is considered by many managers and engineering staffs to be one of the best solutions to improve voltage quality. Capacitors can affect directly to voltage quality and power losses in whole system [1][2]. When distribution system becomes more complexly with many branches and nodes, many researches have been dealt with the problem of determining optimal capacitor placements and many methods have been proposed such as voltage drop increase [1], generic algorithm [2][3], metaheuristic algorithms [4], hybrid mathematical formulation [5], voltage profile improvement and loss reduction [6], voltage support and minimum total cost [7], etc.…”

“…When distribution system becomes more complexly with many branches and nodes, many researches have been dealt with the problem of determining optimal capacitor placements and many methods have been proposed such as voltage drop increase [1], generic algorithm [2][3], metaheuristic algorithms [4], hybrid mathematical formulation [5], voltage profile improvement and loss reduction [6], voltage support and minimum total cost [7], etc. General purpose for these methods is to reduce the active power required from the power system; reduce load for transformers and medium voltage transmission lines; reduce power loss and electric energy; improve voltage quality; optimize the cost function according to conventional constraints [1][2][3][4][5][6][7][8][9][10]. These methods provide new approaches to determine optimal capacitor placements but they can't be applied in large grids with many buses because they have large calculation and it must be reprogrammed for each detailed grid.…”